Skip to main content

HYPOTHESIS AND THEORY article

Front. Immunol., 19 February 2024
Sec. Molecular Innate Immunity
This article is part of the Research Topic Insights in Molecular Innate Immunity: 2022 View all 13 articles

Self-DNA driven inflammation in COVID-19 and after mRNA-based vaccination: lessons for non-COVID-19 pathologies

  • Departamento de Ingeniería Genética, Laboratorio de Ecología de Plantas, Centro de Investigación y de Estudios Avanzados (CINVESTAV)-Unidad Irapuato, Irapuato, Mexico

The coronavirus disease 2019 (COVID-19) pandemic triggered an unprecedented concentration of economic and research efforts to generate knowledge at unequalled speed on deregulated interferon type I signalling and nuclear factor kappa light chain enhancer in B-cells (NF-κB)-driven interleukin (IL)-1β, IL-6, IL-18 secretion causing cytokine storms. The translation of the knowledge on how the resulting systemic inflammation can lead to life-threatening complications into novel treatments and vaccine technologies is underway. Nevertheless, previously existing knowledge on the role of cytoplasmatic or circulating self-DNA as a pro-inflammatory damage-associated molecular pattern (DAMP) was largely ignored. Pathologies reported ‘de novo’ for patients infected with Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV)-2 to be outcomes of self-DNA-driven inflammation in fact had been linked earlier to self-DNA in different contexts, e.g., the infection with Human Immunodeficiency Virus (HIV)-1, sterile inflammation, and autoimmune diseases. I highlight particularly how synergies with other DAMPs can render immunogenic properties to normally non-immunogenic extracellular self-DNA, and I discuss the shared features of the gp41 unit of the HIV-1 envelope protein and the SARS-CoV 2 Spike protein that enable HIV-1 and SARS-CoV-2 to interact with cell or nuclear membranes, trigger syncytia formation, inflict damage to their host’s DNA, and trigger inflammation – likely for their own benefit. These similarities motivate speculations that similar mechanisms to those driven by gp41 can explain how inflammatory self-DNA contributes to some of most frequent adverse events after vaccination with the BNT162b2 mRNA (Pfizer/BioNTech) or the mRNA-1273 (Moderna) vaccine, i.e., myocarditis, herpes zoster, rheumatoid arthritis, autoimmune nephritis or hepatitis, new-onset systemic lupus erythematosus, and flare-ups of psoriasis or lupus. The hope is to motivate a wider application of the lessons learned from the experiences with COVID-19 and the new mRNA vaccines to combat future non-COVID-19 diseases.

1 Introduction

Nucleic acids are one of the few molecular patterns that can be used to detect viruses”. Jacques Deguine, 2017 (1)

Coronavirus disease 2019 (COVID-19) caused by infection with Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV)-2 was initially considered as an infectious inflammatory lung disease. Yet, it became clear quite quickly that severe cases of COVID-19 comprise systemic endothelial dysfunction and inflammation in respiratory and non-respiratory organs that result from deregulated type I interferon (IFN I) signalling (27). During the initial stage of infection, a rapid production of IFN I and of IFN-stimulated genes, including several inflammatory cytokines and chemokines (the so-called IFN I response), can protect surrounding cells from infection and thus, usually is sufficient to halt viral replication (8, 9). However, during later stages of the infection cycle, SARS-CoV-2 triggers an ongoing expression and/or activation of the transcription factor nuclear factor kappa light chain enhancer in B-cells (NF-κB) and downstream, of tumour necrosis factor (TNF)-α, interleukin (IL)-1β, IL-6, IL-18 (hereinafter termed ‘pro-inflammatory cytokines’) and IFN-γ (the only type II IFN), with little contribution of antiviral IFN I/III (3, 10). The resulting cytokine storm (11) sustains detrimental inflammation and drives massive bystander cell death, thereby generating endothelial damage in multiple organs and – most likely – causing the progress to severe forms of COVID-19, with potentially fatal outcomes (3, 7, 10, 1216).

Several studies identified DNA-sensing pattern recognition receptors (PRRs) as drivers of IFN I-driven inflammation and massive cell death in severe COVID-19: cyclic GMP–AMP synthase (cGAS), absent in melanoma (AIM)2, nucleotide-binding oligomerization domain (NOD)-like leucine-rich repeat (LRR) and PYRIN domain containing (NLRP)3, receptor for advanced glycation end products (RAGE), and Toll-like receptor (TLR)9 (9, 13, 14, 1723): Upon detecting double stranded (ds)DNA, these PRRs activate the production of antiviral and pro-inflammatory cytokines and chemokines and eventually, cell death, via two principal pathways (reviewed in (24, 25)). While cGAS signals via stimulator of interferon genes (STING) to induce predominantly IFN I, TLRs signal via the adaptor protein myeloid differentiation primary response (MyD)88 and the transcription factor NF-κB to activate the expression of IL-1β, IL-6 and IL-18 and of AIM2, NLRP3 and other elements of the inflammasome. Inflammasomes are multiprotein complexes that control the massive release of pro-inflammatory cytokines via pyroptosis, a pro-inflammatory cell death (Figure 1, see refs (3840) for reviews).

Figure 1
www.frontiersin.org

Figure 1 Sensors of dsDNA and downstream signalling pathways. (A) Double-stranded (ds)DNA sensors and signalling cascades reported in the context of COVID-19. [1] Upon dsDNA binding, cyclic GMP-AMP synthase (cGAS) produces cyclic GMP-AMP (cGAMP) to activate stimulator of interferon genes (STING): an adaptor protein that in homeostasis resides as monomer in the endoplasmic reticulum. [2] Upon activation by cGAMP, STING oligomerises and [3] translocates to the Gologi Apparatus to recruit [4] TANK binding kinase 1 (TBK1). [5–7] Subsequently TBK1 phosphorylates itself, STING, and interferon regulatory factor 3 (IRF3) (26), thereby [8] activating IRF3. [9] Activated IRF3 moves into the nucleus to [10] trigger the transcription of type I and type III interferon (IFN I). In patients with COVID-19, cGAS/STING have been described to trigger a distinct response and activate nuclear factor kappa light chain enhancer in B-cells (NF-κB), either [11] directly via the IκB kinase (IKK) complex (27), [13] which then activates NF-κB, or [13] indirectly via a TBK1-dependent activation and [14] a mutual inhibition between TBK1 and IKK (27) along with a block of IRF3 nuclear translocation (15). More common activators of NF-κB are Toll-like receptors (TLRs), including the endosome-expressed TLR9, which is the only known sequence-specific DNA sensor. [15] Upon activation by endosomal CpG-rich dsDNA, TLR9 – like most TLRs – associates with the adaptor protein myeloid differentiation primary response (MyD)88 to [16] facilitate the formation of a complex with Interferon receptor-associated kinases (IRAKs) and TNF receptor-associated factor (TRAF)6. [17, 12] Downstream, TAK1 and IKKs activate NF-κB. [18] A further receptor that signals via NF-κB is the receptor for advanced glycation end products (RAGE), the only dsDNA sensor in the cell membrane. [219] Furthermore, RAGE can internalize with its ligand and [20] deliver it to the endosome to facilitate sensing by TLR9, which ultimately activates NF-κB and – likely – amplifies the inflammatory response. [21] Activated NF-κB translocates to the nucleus to [22] facilitate the expression of pro-IL-1β, IL-6, pro-IL-18, and of the different elements of the inflammasome: AIM2, NLRP3, apoptosis-associated speck containing a caspase recruitment domain (CARD) (ASC)-like protein, pro-caspase and pro-gasdermin D. Thereby, agonists of TLRs prime the cell for inflammasome formation. Activation of the inflammasome requires a second signal. [23] RAGE can provide this signal by activating NADPH oxidase. [24] Alternatively, NADPH oxidase can be activated by the P2X7 receptor in response to sending extracellular ATP (eATP). [25] The reactive oxygen species (ROS) formed by NADPH oxidase can function as signal II [26] and activate the inflammasome. [27] Alternatively, cytoplasmatic DNA that is sensed by AIM2 or NLRP3 can act as signal II. (B) Upon sensing signal II, AIM2 or NLRP3 associate with ASC and pro-caspase 1 to form the active inflammasome that liberates active caspase-1, thereby facilitating the maturation of IL-1β and IL-18. Since these ILs don´t possess a secretion signal, active gasdermin D is also produced to form a plasma membrane pore, which enables the release of these cytokines together with cellular content. See Figure 2 for graphical legend.

At first glance, the identification of dsDNA-sensors as players in coronavirus disease seems difficult to understand. SARS-CoV-2 is a single stranded (ss)RNA virus and, unlike retroviruses such as HIV-1, coronaviruses do not reverse-transcribe their RNA genome to DNA. So, if no viral cDNA is synthesized, which DNA activates innate immunity in COVID-19? It turns out that fragments of the host’s ‘self-DNA’ activate the before mentioned dsDNA sensors to trigger - eventually detrimental - inflammation and cell death (Figure 2). Several groups reported that SARS-CoV-2 infection generates oxidative stress, damages the mitochondrial genome, destabilizes the mitochondrial membrane and subsequently, triggers a release of mitochondrial (mt)DNA to the cytosol (9, 13, 18, 41, 42). Thereby, mtDNA becomes accessible to cGAS, AIM2 or NLRP3 (9, 18, 22). Second, SARS-CoV-2-infected cells can undergo syncytia formation, a cell-to-cell fusion that generates multi-nucleated cells and therefore, is associated with DNA damage, nuclear membrane blebbing and a release of chromatin – including nuclear (genomic) DNA (nDNA) - to the cytosol, where it is sensed by cGAS (9, 13, 17, 23, 36). Moreover, the DNA of dying infected cells can trigger inflammation and pyroptotic cell death in immune bystanders, either because the DNA of engulfed cells becomes exposed to TLR9, or because DNA that these cells release to the extracellular space serves as an inflammasome-activating signal (9, 13).

Figure 2
www.frontiersin.org

Figure 2 Different forms of cell death associated with SARS-CoV-2 infection are driven by DNA. (A) Autonomous cell death of infected endothelial cells and epithelial driven by cGAS or TLR9 (9, 15, 18). Infection with SARS-CoV-2 damages mitochondria and leads to the release of mtDNA to the cytosol. [1–4] This mtDNA activates cGAS/STING signalling, which [5–6] activates NF-κB via TBK1 or [7–8] IKKs. A dominance of NF-κB over IRF3-dependent signalling is favoured by [9] the mutual inhibition of TBK1 and IKKs and [10] SARS-CoV-2 blocking the translocation of IRF3 to the nucleus. [11] In consequence, NF-κB moves into the nucleus to [12] trigger expression of NF-κB-dependent genes; an effect which - if sustained during the late phase of the infection - leads to aberrant inflammation and poor clinical outcome (9). [1316] Others reported mtDNA to become - via an unknown mechanism – accessible to TLR9 and thereby trigger IRAK1/4 and TRAF6-dependent activation of IKKs. (B) Inflammasome-driven cell death of infected monocytes and macrophages (22, 31, 32) typically requires a first, priming stage in which [1] a TLR ligand such as, e.g., endosomal dsDNA, triggers the association of a TLR with the adapter protein MyD88 to [23] activate IKK via IRAK/14, TRAF6 and other downstream protein complexes. [4] Subsequently activated NF-κB and [5] NF-κB-driven expression of the inflammasome components absent in melanoma2 (AIM2), (NOD)-like leucine-rich repeat (LRR) and PYRIN domain containing3 (NLRP3), ASC-like protein, and the precursors of caspase 1, Gasdermin D, Il-1β and IL-18 allow the cell to enter the primed stage. The subsequent activation of the inflammasome can be initiated by diverse cytoplasmatic DAMPs, but also, e.g., by extracellular ATP (eATP). [6] eATP is sensed by P2X7, [7] which subsequently activates membrane-bound NADPH oxidase to [8] generate intracellular reactive oxygen species (ROS). Alternatively, [9] mitochondrion-derived cytoplasmatic ROS or [10] mtDNA have been suggested to act as signal II (18) that [11] triggers the assembly of the inflammasome (as illustrated here for the AIM2 inflammasome). [12] Inflammasome-liberated Il-1β and IL-18 [13] and IL-6 [14] are released via the membrane pore formed by Gasdermin D together with other cellular content, a process culminating in pyroptosis. (C) Bystander cell death of macrophages. Self-DNA from dying infected endothelial cells that have been engulfed by macrophages can activate TLR9 in these cells to trigger NF-κB-controlled inflammatory signalling. This pathway can be amplified when extracellular DAMPs like mtDNA or nDNA are sensed by RAGE, which then directly activates NF-κB, or by a receptor-assisted transport of DNA or DNA-protein complexes to the endosome, where these can be detected by TLR9 (33). It is likely that this mechanism explains the association of plasma levels of RAGE in the blood of COVID-19 patients with poor clinical outcome (34, 35). (D) Graphical legend of Figures 13.

Elevated concentrations of cell-free (cf) self-DNA in blood or plasma of COVID-19 patients have been reported repeatedly and in most cases, cfDNA levels correlated with disease severity (13, 1821, 4256). This finding should not come as a surprise, because during pyroptosis, pro-inflammatory cytokines are released together with cellular content, including self-DNA and other damage-associated molecular patterns (DAMPs) (6, 13, 14, 46, 54, 57, 58). DAMPs (or alarmins) are endogenous molecules that adopt the additional function of signalling danger when their fragmentation or translocation to the ‘wrong space’ indicates damage to self (5961). Sensing self-DNA as a DAMP allows the detection of harmful agents directly based on the harm they do (62). For example, the rapid pyroptotic cell death of SARS-CoV-2-infected blood monocytes or lung-resident macrophages prevents the virus from completing its reproductive cycle (22, 28).

However, DAMPs-mediated signalling can also generate detrimental effects, particularly when a massive release of pro-inflammatory DAMPs from dying cells causes more cells to die: a situation that strongly contributes to the CD4+ T cell depletion in patients infected with HIV-1 (63, 64), reviewed in (65). Extracellular self-DNA has been associated with multiorgan failure after severe trauma (6670), including sepsis-like systemic inflammation (71), sepsis (72), can lead to myocarditis (7376) or lung inflammation (77), facilitates the reactivation of latent virus infections, including Herpes Simplex Virus, Varicella Zoster Virus, or HIV-1, and favours the development of autoimmune diseases such as systemic lupus erythematosus (SLE) and psoriasis (67, 76, 7886). Elevated plasma levels of cf nDNA or mtDNA are common in HIV-1-infected patients (8791) and might explain the chronic inflammatory and autoimmune-related pathologies that frequently develop in this group (65, 9294): examples include thrombocytopenia (9598), diverse forms of vasculitis (99, 100), myocarditis (101), psoriasis (102104), rheumatoid arthritis (105, 106), SLE (102, 105, 106) and herpes zoster (107).

Considering the role of circulating DNA in these pathologies and the similarity of some of the resulting symptoms, a role for circulating self-DNA in severe COVID-19 appears highly likely. Nevertheless, it seems that the potential importance of pro-inflammatory self-DNA had to be discovered ‘de novo’ for COVID-19. The first studies that associated increased serum levels of certain DAMPs with severe COVID-19 appeared in 2020 (108111). Correspondingly, a role of immunogenic self-DNA in severe COVID-19 was hypothesised in the same year (112) and indeed, a team from the University of Missouri with first-author Alex Earhart were the first to publish on 30th of April 2020 empirical evidence for a role of extracellular DNA in severe COVID-19: the authors used a DNase (Dornase α) to dissolve DNA-containing neutrophil extracellular NETs - large, extracellular webs formed by cytosolic proteins and decondensed chromatin including histone and n/mtDNA that trap bacteria or viruses (113115) - in the lung of a COVID-19 patient (116), Subsequently, others followed the rationale that the degradation of extracellular DNA by Dornase α should reduce mucus rigidity and accumulation and thereby lead to respiratory improvement (117122). Importantly, a group from S. Korea with first author Hee Ho Park (119) reported on Oct 20th cfDNA concentrations of 0.41 mg mL-1 in the blood of healthy individuals and of 0.85 and 2.83 mg mL-1 in the blood of patients with light and severe COVID-19, respectively (119).

With exception of the before mentioned studies, however, there is little evidence that existing knowledge on inflammatory self-DNA guided the research towards mechanisms that lead to severe COVID-19 or the trials aimed at repurposing pre-existing drugs during the first phase of the COVID-19 pandemic. Even less evidence indicates that knowledge on how and why certain viruses trigger DNA damage had any influence on vaccine development. Although one can only speculate about the reasons, it seems possible that papers published in 2003 or 2004 were rated outdated, at least by the younger generation of scientists, while HIV-1 was possibly deemed ‘too distant’. In addition, it appears that the immunogenic properties of self-DNA and its potential roles in multiple pathologies has not yet been fully assimilated by the immunological community, perhaps because self-DNA as a paramount DAMP contradicts the immunological paradigm of self-tolerance. As pointed out by the legendary immunologist Andrea Ablasser, “such a ‘universal’ sensing mechanism violates one of the most fundamental rules of the classical pattern recognition dogma, which is based on pathogen-specific structural patterns instructing self- versus nonself discrimination” (123).

Therefore, the aim of the present work is to motivate a wider application of the lessons learned from the experiences with COVID-19 and the new mRNA vaccines to combat future non-COVID-19 diseases, providing preliminary and associational evidence for the hypothesis: "Self-DNA-driven inflammation is one of the factors that contribute to severe COVID-19 and to certain adverse events subsequent to COVID-19 mRNA vaccination.

This hypothesis has mainly been formulated considering that:

1. Immunogenic self-DNA has been proposed as a driver of inflammatory and autoimmune-related processes in HIV-1-infected patients.

2. Similar, if not identical, symptoms have been observed among HIV-1-infected and SARS-CoV-2-infected patients as well as in vaccinated individuals who suffer from severe adverse effects (12).

3. Elevated levels of cf nDNA or mtDNA have been detected in plasma of HIV-1-infected patients (8791) and of SARS-CoV-2-infected patients (19, 20, 4244, 47, 49, 5256, 119), as well as in the supernatant of SARS-CoV—infected human airway epithelial cells (13, 18).

4. Elevated levels of autoantibodies, in particular anti-dsDNA and antinuclear antibodies, have been reported from patients with severe COVID-19 in various case reports, but also in a study that compared 217 COVID-19 patients in the ICU with 117 age- and sex-matched controls (124) (for a review see (125)).

5. Multiple reports on elevated levels of anti-dsDNA antibodies in the plasma of vaccinees (126132) indicate that increased cfDNA levels might be common in this group, although direct evidence for elevated levels of cfDNA in plasma of vaccinated individuals is scarce (but see (127)).

6. A mouse model demonstrated that CoV-2 S expression caused enhanced levels of autoantibodies and inflammatory cytokines, which ultimately led to tissue destruction (133), and

7. a long-lasting persistence of full-length CoV-2 S protein has been reported from plasma of several individuals who presented post-vaccination myocarditis, but not from vaccinated individuals who did not suffer from adverse effects (134).

To support this hypothesis, rather than providing a balanced review, I discuss mechanisms by which self-DNA has been reported – or suggested – to drive inflammation with potentially detrimental effects in non-COVID-19 pathologies and which are highly likely to apply also in COVID-19. I focus particularly on HIV-1, because SARS-CoV-2 and HIV-1 share multiple features, among others in the functions of CoV-2 S and the gp41 unit of the envelope glycoprotein of HIV-1 (135). For parallels with inflammaging see (136139) and those with autoimmune diseases see (86).

2 Evidence from other pathologies

The role of various DAMPs in COVID-19 has been reviewed by Søren Paludan and Trine Mogensen (140). Self-DNA, in particular, has received less attention, although existing knowledge from several non-COVID pathologies provides a solid basis to hypothesize a similar role in COVID-19. Over decades, self-DNA was considered as immunologically inert, although the cytokine-activity of DNA was known many years before its identification as the carrier of the genetic information (141). During homeostasis, diverse cytosolic and extracellular DNases eliminate self-DNA that appears outside the nucleus and in addition, the cytoplasmatic expression of dsDNA sensors was believed sufficient to avoid erroneous immune responses to self-DNA: dying cells will usually release their DNA into the extracellular space, and DNA – being a heavily negatively charged molecule – does not normally pass through membranes. However, in complexes with positively charged molecules, including certain DAMPs, DNA can become immunogenic (61, 142).

As mentioned in the introduction, self-DNA has been associated with multiorgan failure after severe trauma, myocarditis, the reactivation of latent virus infections, including Herpes Simplex Virus, Varicella Zoster Virus, or HIV-1, thrombocytopenia, psoriasis (102104), rheumatoid arthritis and SLE. Intriguingly, these pathologies were also common among COVID-19 patients (39, 137, 143), and the transcriptome of skin lesions from patients with severe COVID-19 exhibited strong similarities with cutaneous LE (9). Similar symptoms emerged among the most frequent severe adverse events subsequent to COVID-19 vaccination, at least for some of the platforms (144). For example, thrombocytopenia was mainly observed among vaccinees who received the ChAdOx1 adenoviral-vector-DNA (AstraZeneca) vaccine (145, 146) and cutaneous vasculitis was observed mainly in those receiving ChAdOx1 (147) or the BNT162b2 mRNA (Pfizer-BioNTech) vaccine (148, 149) (reviewed in (150)). Most of the other disorders identified as severe adverse effects were reported predominantly from individuals who received the BNT162b2 vaccine, followed by mRNA-1273 (Moderna): examples include myocarditis (151157), herpes zoster (154, 158160), rheumatoid arthritis (161, 162), autoimmune nephritis or hepatitis (132, 163), new-onset SLE (126, 128, 130) or neurological autoimmunity (164), and flare-ups of psoriasis (154, 165168), or SLE (129, 152, 161, 162, 169).

All these pathologies could theoretically be driven – partly or completely – by immunogenic self-DNA and in fact, all of them have been related to self-DNA in the context of non-COVID-19 pathologies. Using trauma as an example, several prospective observational studies reported elevated concentrations of free cfDNA (6668, 70), or of histone-complexed cfDNA (170), in the blood of severely injured trauma patients. In all these studies, the cfDNA concentrations correlated with poor clinical outcome (6668, 70, 170). The causal role cfDNA in the inflammatory response to trauma was shown by the group of Carl Hauser at Harvard (67, 69). Back in 2010, the group observed increased plasma levels of mtDNA and nDNA in rats exposed to traumatic injury combined with haemorrhagic shock and found that hepatocyte-derived mtDNA, but not nDNA, activated polymorphonuclear neutrophils in vitro (69). The group compared the activation of various mitogen-associated protein kinases (MAPKs) and used endosome acidification assays to identify TLR9 as the most likely receptor of this mtDNA. In vivo, mtDNA delivered via tail-vein injection triggered liver inflammation at 1hr that was associated with enhanced levels of IL-6 and TNF-α in whole liber homogenate (69). More recently, the group demonstrated that treatment with a nucleic acid scavenger (polymerous hexadimethrine bromide) can rescue the rodents from severe multiple organ dysfunction (67).

3 Self-DNA as a DAMP in COVID-19

Coming across extracellular DNA and RNA swimming around when you are a cell is usually bad news”. Sophia Häfner, 2013 (171)

3.1 Signalling pathways triggered by dsDNA

As mentioned in the introduction, several PRRs sense DNA (see Figure 1) and, with exception of TLR9, they do so in a sequence-independent manner. This means that in principle, these PRRs do not distinguish self- from nonself-DNA. This lack of a specificity for any sequence motifs explains why cGAS is now considered one of the elements that connect DNA damage to several autoimmune diseases and cancer, but also the counterintuitive observation of cGAS-controlled immunity against RNA viruses, including HIV-1, human T cell-leukaemia virus type I and Dengue virus (172174). Active cGAS produces cyclic GMP-AMP to activate STING, which dimerises and activates TNF receptor associated factor (TRAF) associated NF-κB activator (TANK) binding kinase 1 (TBK1) and downstream, interferon regulatory factor 3 (IRF3), which moves into the nucleus and triggers the transcription of type I and type III interferon (IFN). In the particular case of SARS-CoV-2, the cell-autonomous activation of cGAS/STING signalling also contributes to NF-κB-dependent cytokine production, at least in human epithelial cells (15).

Besides cytosolic cGAS, endosomal TLR9 has been reported to be activated by SARS-CoV-2 (18, 175). TLRs are membrane-bound PRRs that sense a diverse array of extracellular or endosomal DAMPs and PAMPs and form part of one of the most studied examples of a DAMP-mediated immune priming: the activation of inflammasomes in two steps (59, 176, 177). Upon binding by one of these ligands, most TLRs signal via myeloid differentiation primary response (MyD)88, Interferon Receptor-Associated Kinases (IRAKs), TNF receptor-associated factor (TRAF)6, TBK1, and the IKK complex (69, 178). Downstream, activated NF-κB translocates to the nucleus to facilitate the expression of pro-IL-1β, IL-6 and pro-IL-18 and of the different elements of the inflammasome: AIM2, NLRP3, apoptosis-associated speck containing a caspase recruitment domain (CARD) (ASC)-like protein, pro-caspase, and pro-Gasdermin D (Figure 1A) (40, 58, 179). Thereby, TLR ligands serve as signal 1 that primes the cell for fast responses to future, more challenging threats, which are indicated by a second, intracellular signal 2. Both AIM2 and NLRP3 are dsDNA sensors that bind to cytoplasmatic DNA, including phagocytosed DNA that is released from lysosomes. AIM2 seems to exclusively sense DNA, but NLRP3 senses multiple endogenous and exogenous molecules that indicate threats, including reactive oxygen species (ROS), and it is also activated when extracellular ATP (eATP) binds to a purinergic receptor, e.g. P2X7 (38, 59, 180). In response to this ‘activation’ signal, AIM2 or NLRP3 associate with ASC and pro-caspase 1 to form the active inflammasome, a multiprotein complex that liberates active caspase-1 to facilitate the maturation of IL-1β and IL-18. Since these ILs don´t possess a secretion signal, active gasdermin D is also produced to form a plasma membrane pore, which enables the release of these cytokines together with cellular content (13, 181) (Figure 1B).

3.2 Pathways to DNA-driven inflammatory cell death in COVID-19

In the context of COVID-19, the dsDNA sensors participate in inflammatory processes that usually culminate in cell death, via mechanisms that can be roughly grouped into three major pathways: Cell-autonomous cell death, bystander cell death and dying syncytia. Cell-autonomous cell death leading to aberrant inflammation in COVID-19 (Figure 2A) has been described, e.g., by Andrea Ablasser’s team in Lausanne (9) and Ralf Bartenschlager’s team in Heidelberg (15) as an outcome of mtDNA release from damaged mitochondria that results in an ‘aberrant’ cGAS/STING-pathway causing a specific activation of NF-κB and a block of IRF3 nuclear translocation in SARS-CoV-2 infected endothelial cells and lung epithelial cells, and by a Brazilian team with first author Tiago Costa (18) as the outcome of a mitochondrial dysfunction that leads to a TLR9-dependent NF-κB activation in human umbilical vein endothelial cells (Figure 2A). Furthermore, a team at NIH in Bethesda and Georgetown University in Washington (29) described autonomous cell death to be caused NLRP3-inflammasomes activation by high levels of oxidative stress that are associated with mitochondrial dysfunction in human monocytes (29), and also Judy Lieberman’s and Richard Flavell’s teams at Harvard Medical School and Yale (22, 28) inflammasome-dependent pyroptosis of SARS-CoV-2 infected macrophages and monocytes (Figure 2B). Doubts remain, and several differences among these papers will have to be resolved by future work. For example, Junqueira et al. observed ca.10 % infected cells among the blood monocytes in COVID-19 patients (22), while Lage et al. “were unable to detect productive infection of primary human HC monocytes by SARS-CoV-2 in vitro” (29). Di Domizio et al. (9) define endothelial cell death as STING-dependent but do not offer a concrete mechanism that connects aberrant IFN I-signalling to the death of infected cells and – curiously enough – I could not find a single study that considered both cGAS/STING signalling and inflammasomes together. Doubts also remain concerning the signals I and II that are generated by SARS-CoV-2 replication to activate inflammasomes in the same cell and whether activation of TLR9 was caused by mtDNA or a direct effect of the virus. Both mitochondrial ROS (29) and DNA from other dying cells (Lieberman, personal communication) were suggested to activate inflammasomes as signal II, which in the latter case would classify the cell death as bystander cell death.

Evidently, infected cells eventually die. Before or after doing so, they can trigger inflammation and eventually, cell death, in neighbouring immune ‘bystander’ cells. The team headed by Andrea Ablasser (9) observed that activated, IFN I-producing macrophages frequently surrounded those vessels that exhibited strongest signals of endotheliopathy and concluded that “signals derived from dying (endothelial) cells promote type I IFN production by macrophages”. Similarly, a particularly nice and detailed study performed in Jenny Ting’s Lab in Chapel Hill and published by Katherine Barnett as first author (13) started from immunohistochemical analyses of COVID-19 autopsy lungs, which showed active inflammasomes and cell death in alveolar macrophages directly adjacent to infected alveolar epithelial cells. Subsequently, they used a co-culture system of human airway epithelial cells and peripheral blood mononuclear cells to confirm that inflammasome activation and cell death was limited to co-cultured cells but absent in isolated cells. Both studies suggested self-DNA (both mitochondrial and genomic) from the dying infected cells as the signal that activated inflammation in the immune cells, although Di’Domizio et al. favoured engulfed endothelial cells (Figure 2C) while Barnett et al. suggest lytic cell death as the mechanism allowing bystander cells to access DNA from infected cells (9, 13).

Third, SARS-CoV-2-infected cells can fuse with non-infected ACE2-expressing cells to form syncytia: multinucleated cell complexes that facilitate viral spread without exposure to host antibodies (23, 182, 183) (Figure 3). Various groups observed syncytia as a common cytological feature of post-mortem lung samples obtained from individuals who died of COVID-19 (23, 182, 184186). A team from Beijing and Harvard with first author Zhou Zhuo (17) focused on the switch from a suppression of type I IFN signalling during the initial phase of infection to the (over-) induced cytokine signalling at later stages and discovered that this shift is associated with syncytia formation, which in turn is accompanied by the release of chromatin – including nDNA to the cytosol (13, 17). Thereby, SARS-CoV 2 enhances the visibility of its’ hosts self-DNA to the immune system (187).

Figure 3
www.frontiersin.org

Figure 3 Spike – the multipurpose locksmith. Common knowledge holds that the spike protein serves to recognize specific receptors on the surface of host cells, but in fact, CoV-2 S has several roles: Binding to a cell membrane receptor, mediating membrane fusion between the viral and host membranes, which results in the release of viral content, syncytia formation, and – likely – the destabilisation of the nuclear envelope (3335). [1] Viral entry can occur via endocytosis or membrane fusion. Both processes depend on CoV-2 S, [2] independently of whether entry occurs via the endosomal pathway (left) or membrane fusion (right). After entry [3], viral RNA is released into the cytoplasm and [4] used for the replication of the RNA genome and protein synthesis. This process is associated with DNA damage, a destabilization of the nuclear envelope, and nuclear membrane blebbing (→): processes that likely benefit the virus because they liberate the nucleic acids that SARS-CoV-2 requires for its replication. [5-6] Subsequently, Spike protein expressed on the cell surface (→) also controls syncytia formation: a process that usually serves to facilitate viral spread without exposure to the host immune system (34, 36). The first virus for which nuclear membrane blebbing has been reported is HIV-1 (37). In the case of HIV-I, the bipartite envelope glycoprotein (Ev)fusion performs the two essential functions of binding to receptors on the surface of target cells and fusioning the host-cell and viral membranes, including the formation of a fusion pore to deliver the viral core into the cell cytoplasm.

3.3 Self-DNA as a DAMP in COVID-19: preliminary evidence

Pharmacological attempts to support a causal role of DNA in COVID-19 used DNA-scavenging nanomaterials or recombinant DNase-I (Dornase α). Bruce Sullenger’s lab at Duke University discovered that the plasma and endotracheal aspirate of COVID-19 ICU patients activated various TLRs, including TLR9. Aiming at identifying DNA-containing DAMPs as these agonists, they treated serum and ETA with DNA-scavenging MnO nanoparticles and observed strong reductions of the content of DNA, RNA and HMGB-1 and consequently, the activating effect on TLRs (14). Unfortunately, the hypothesised ‘DNA-containing DAMPs’ were not identified and serum, rather than individual DAMPs, was used in all TLR-induction tests. Although DNA/HMGB1 or DNA/histone complexes were likely contributing to the fraction of DNA-containing DAMPs, this study clearly shows that much more research will be required until certain inflammatory effects can be clearly related to specific DAMPs.

Several groups treated COVID-19 patients with recombinant human DNase I, administered as DNase I-coated nanospheres or as nebulized Dornase α, which is approved for the treatment of cystic fibrosis (117, 119, 122). I already mentioned the team from the University of Missouri (116). Subsequently, Hacer Kuzu Okur and colleagues at Acibadem Altunizade Hospital in Istambul (117) reported on 7th of September 2020 that treatment of patients with Dornase α lead to significant clinical improvement in the radiological analysis, oxygen saturation and respiratory rate. These changes were associated with significantly decreased viral loads when comparing nasopharyngeal and oropharyngeal samples taken on the day before the treatment and after 7 days. In the same study, Dornase α decreased viral load and the negative effects of SARS-CoV-2 infection on cell proliferation in a realtime Vero cell culture system as well as in vitro NETosis by thawed adult human mononuclear cells (117). Three weeks later, Andrew G. Weber and coauthors from New York (118) reported on significant reductions in the production of proinflammatory cytokines by PBMCs and in the fraction of inspired oxygen in five mechanically ventilated COVID-19-patients who were treated with nebulized Dornase α and who were successfully extubated, discharged from hospital and remained alive (118). A further month later (on 20th of October 2020), a multicentre team from S. Korea with first author Hee Ho Park (119) reported that treating plasma of COVID-19 patients with DNase-I significantly reduced the eDNA levels and NET formation. Moreover, DNase-I-coated nanospheres decreased eDNA concentrations in the blood, neutrophil activity, lung damage and mortality in a septic mouse model (119).

A team from Sweden with first author Jane Fisher (120) treated five severely ill COVID-19 patients with Dornase α and all of them became independent of mechanical ventilation and could be dismissed from the intensive care unit within 4 to 15 days of treatment. Immunofluorescence microscopy of sputum produced by these patients confirmed the infiltration by neutrophils and high abundances of NET-forming neutrophils in COVID-19 sputum, and ex-vivo treatment of the sputum from one patient demonstrated the rapid (within 10 min) degradation of NETs. In the same study, proteomic analyses of sputum allowed to identify both subtypes of immunoglobulin A and mucins, blood plasma proteins such as albumin, leukocyte proteins, and inflammatory/antiviral response proteins such as interferon-induced proteins as the most abundant proteins in COVID-19 and to reveal that the recovery due to Dornase α treatment was associated with a reduction in complement proteins, haemoglobin, lipopolysaccharide protein, and C-reactive protein, that is, proteins indicative of elevated innate immunity, cell damage and ongoing infection (120). In a study conducted by Andrew Toma and co-authors from Palm Beach Gardens Medical Centre (121), of 39 patients included in the study, 24 had reduced respiratory support requirements and out of 8 patients initially requiring mechanical ventilation, 7 were successfully extubated by the end of the study period.

A Greek team with first author Efstratios Gavriilidis (122) combined inhaled DNase with drugs aimed at controlling cytokine-mediated hyperinflammation: an inhibitor of the IL-6-receptor and a Janus Kinase (JAK)1/2 inhibitor. They report that the combined treatment was associated with significantly lower in-hospital mortality and intubation rate, shorter duration of hospitalization, and prolonged overall survival. As a notion of caution, in a clinical trial performed by the team at University of Missouri with 10 COVID-patients treated with Dornase α and 20 case controls and published 2021 with first author Zachary Holliday (188), the differences between treatment and control groups in static lung compliance and NET abundance in BALF were not maintained after terminating the treatment. The same study could detect on effect on NETs in the blood (188). In summary, a positive effect of Dornase α has so far only been shown for NETs on the surface, but not in the blood vessels of human COVID-19 patients.

Additional, although indirect support for the detrimental effects of DNA-driven inflammation is provided by the fascinating explanation as to why coronavirus infection does not cause disease symptoms in bats (189193). The energy-demanding flight of bats unavoidably damages their mtDNA (191, 192). As an adaptation, bats have lost the inflammasome-forming PRRs AIM2 and IFI 16 and other IFN I-related genes, and they exhibit dampened transcriptional priming of several components of the NLRP3-inflammasome (192). Consequently, bats show almost no inflammatory immune response to cytoplasmatic or circulating self-DNA (191193).

4 DAMPs and inflammasomes – a smart but dangerous liaison

DAMPs and TLRs have not received much attention in COVID-19” Luis A. Silva-Lagos et al., 2021 (194)

4.1 DAMPs in COVID-19

Apoptosis represents a form of cell death of somatic cells long since known to be associated with abundant translocation of nuclear contents to cell surface blebs and ultimately, to the blood stream (195197). Even more DAMPs are released when immune cells undergo inflammatory forms of cell death such as pyroptosis (22, 58, 181, 198, 199). The DAMP most frequently reported for COVID-19 is lactate dehydrogenase, a central enzyme of anaerobic glycolysis that is present in virtually all cells and that, therefore, reliably indicates cell death when occurring at high concentrations in the extracellular space (200202). Other DAMPs which have been observed at elevated levels in the blood or plasma of patients with severe COVID-19 comprise high-mobility group box protein (HMGB)1 (51, 110, 111, 202206), S100 proteins (108, 110, 202, 207209), plasma hyaluronan (210), extracellular (e)ATP (211, 212), the antimicrobial peptide LL-37 (213, 214), histones (e.g (215217), reviewed in (218, 219) and circulating self-DNA, including nDNA (13, 20, 21, 42, 46, 47), mtDNA (13, 18, 21, 42, 43, 48, 49), NET-associated cfDNA (201, 215, 220222), histone-DNA complexes (219), and cfDNA of non-specified subcellular origin (45, 48, 5054). As recently reviewed for sepsis (72), most of these studies reported a positive correlation of the plasma levels of at least some of the beforementioned DAMPs with the degree of disease severity (e.g., mild versus severe cases, COVID-19 patients at ICU admission versus healthy controls, ICU-admitted cases with fatal outcomes versus surviving patients, poor oxygenation status, patients with acute respiratory distress syndrome or with multisystem inflammatory syndrome in children, etc.).

As predicted by Polly Matzinger (62, 223), DAMPs trigger the activation of antigen-presenting cells, act as chemokines that recruit dendritic cells, macrophages, or T cells to the site of injury, or prime immune cells, i.e., they contribute to ‘trained immunity’ (5860, 62, 224226). The signalling function of lactate dehydrogenase remains a matter of discussion (227), but DAMPS sensu strictu such as HMGB1, eATP and cytoplasmatic and extracellular dsDNA prime the immune system for stronger responses to current and upcoming threats. One of the best studied examples of a DAMP-mediated immune priming is the activation of inflammasomes in two steps (59, 176, 177). Multiple lines of evidence support a critical role of inflammasomes in COVID-19 and – likely - its autoimmune complications (12, 13, 22, 29, 39, 181, 228232) (for a review, see (39)). The lung and spleen tissue obtained from patients who died from COVID-19 exhibited higher densities of cells expressing NLRP3, IL-18, NF-κB and gasdermin D, and even HMGB-1, than age-matched controls who had died unexpectedly, but free of SARS-CoV-2-infection (13, 233). This observation indicates that the cells were already in the primed stage. Moreover, exosomes from patients with severe COVID-19 (but not light COVID-19 or healthy donors) induced the expression of NLRP3, pro-caspase-1 and pro-IL-1β in human endothelial cells, microvascular endothelial cells and liver endothelial cells (232). This last study appears to be the first empirical proof of concept showing that cell content released locally from infected cells can trigger systemic inflammatory effects in COVID-19. In addition, enhanced plasma levels of pyroptosis markers were detected in COVID-19 patients, and the levels of caspase -1 and IL-18 in serum correlated with the degree of COVID-19 severity (12, 22, 29, 220, 221), particularly in elderly patients (234). Neutrophils, macrophages and PBMCs from SARS-CoV-2-infected patients also exhibited active AIM2 or NLRP3 inflammasomes and enhanced expression of ASC-speck protein, caspase 1 or gasdermin-D (12, 13, 22, 29, 199, 221, 233). Correspondingly, specific inhibition of the NLRP3 inflammasome suppressed immune overactivation and alleviated COVID-19-like pathology in mice (235). Intriguingly, the SARS-CoV-2 N protein interacts directly with NLRP3 and promotes its binding to ASC, thereby facilitating the assembly of the NLRP3 inflammasome (236). Moreover, the E protein can form cation channels that allow for pyroptosis in the absence of active gasdermin-D (237).

4.2 Positive DAMPs/DNA-sensing feedback

Unless cell death is explicitly assayed in an experiment, the contribution of dying cells to the generation of DAMPs and alarmins may be missed”. Melinda Magna and David S. Pisetsky, 2016 (61)

For many years, self-DNA was considered as immunologically inert, because self-DNA released from dying cells into the extracellular space was believed to be inaccessible to the intracellular DNA sensors. However, when bound to peptides or proteins, extracellular DNA can translocate into specialized compartments, including the endosome of pDCs, and then gain immunogenic properties (61, 72), e.g. via recognition by TLR9 (238241). As pointed out earlier for the HIV-1-context (65) or sepsis (72), pyroptosis releases self-DNA together with cellular content, including HMGB and histones, i.e., two types of DAMPs which intrinsically possess DNA-binding properties. In fact, the nuclei of cells that die via pyroptosis usually remain intact and only show chromatin condensation, meaning that rather than as ‘naked’ DNA, genomic DNA is released as chromatin, hence, in an immunogenic form (177). Intratracheal instillation of mouse alveolar epithelia with the SARS-CoV-2 Spike protein and poly (I:C), a synthetic RNA mimic, triggered lung tissue injury and enhanced levels of circulating TNF-α and HMGB1 (203). The crucial role of HMGB1 in this effect is underlined by the observation that a treatment with anti-HMGB-1 antibody reduced these detrimental effects (203). Thus, a DAMP can increase the detrimental effects of virus-derived PAMPs, for which reason it seems likely that the positive association of diverse DAMPs with COVID-19 severity reflects a causal role, rather than being merely correlative. Also in NETs, self-DNA is bound to HMGB1 or histones, which prevents its degradation and facilitates its passage through membranes or its active uptake via endocytosis and/or receptor binding. In consequence, NETs are known to cause sterile inflammation or small vessel vasculitis, thereby generating microvascular damage that contributes to injury in the brain and lung tissues or favours certain autoimmune pathologies, including SLE (83, 242244).

In addition, several host defence peptides (also termed ‘small secreted antimicrobial peptides’) possess DNA-binding properties (reviewed in (238)), and among these, LL-37 has been reported at increased levels in plasma of COVID-19 patients (213, 214). LL-­37 enhances the IL-­1β-­induced production of cytokines such as IL-6 in monocytes, likely via a DNA-independent mechanism (238), while extracellular histones induce the secretion of IL-1β, IL-6 and TNF-α from circulating monocytes (245). These cytokines, in turn, trigger a pro-inflammatory senescence-associated secretory phenotype in human umbilical vein endothelial cells, at least when they act in synergy (246). Thereby, cytokines that are released via pyroptosis can trigger the pyroptosis-independent release of cellular content from certain immune cells. Synergistic effects can also occur via the inflammasome-mediated axis: complexes formed by HMGB1 and dsDNA induce caspase-1 activation and IL-1β–release from monocytes at 25 times lower concentrations than each molecule alone, because they activate the AIM2 inflammasome (247).

A further, universal DAMP that is well known to act in synergy with other DAMPs or otherwise facilitates their perception is eATP. Extracellular ATP was found at elevated concentrations in the blood of patients with severe COVID-19 (211, 248). The increase in eATP concentrations could be related to two mechanisms: reduced activities of ectonucleotidases (211, 248) and opened pannexin channels (249). The eATP-mediated activation of P2X7 and the resulting production of intracellular reactive oxygen species (ROS) (250) can activate the NLRP3 inflammasome and the release of IL-1β, IL-12 and IFNγ from macrophages (251).

4.3 Anti-dsDNA autoantibodies in COVID-19

Anti-dsDNA autoantibodies represent a further class of proteins that enhance the accessibility of extracellular DNA to innate immune sensors. The release of cellular content during pyroptosis arguably means a massive liberation of potential autoantigens within an already pro-inflammatory environment. Therefore, multiple lines of evidence link inflammasome-mediated pyroptosis to the generation of anti-nuclear and/or anti-dsDNA antibodies. The detailed mechanisms that lead to the formation of these types of autoantibodies remain under discussion, although it seems reasonable to argue that the formation of antinuclear antibodies – a crucial pathogenic feature of SLE that has also been reported for patients following vaccination with BNT162b2 or mRNA-1273 (126) – is evidently facilitated by the fact that the nuclei of cells undergoing pyroptosis usually remain intact. More importantly in the context of the present considerations, DNA-containing immune complexes - like other DNA/protein complexes - present another means of facilitated uptake of cfDNA into immune cells, e.g., into monocytes (252), i.e., they allow for the sensing of self-DNA by TLR9 and thereby stimulate cytokine production (241, 252254). In other words, pyroptosis releases self-DNA under conditions that are likely to render immunogenic properties to extracellular DNA, generating circulating self-DNA that is particularly prone to promote inflammation and autoimmunity (83, 244).

An enhanced prevalence of autoantibodies against nuclear self-antigens – including dsDNA - has been reported for patients with severe COVID-19 (86, 125, 255258), in particular those patients who developed an autoimmune disease as a consequence of COVID-19 (259, 260). In addition, these autoantibodies were detected in the blood of patients who presented some of the adverse effects of the mRNA vaccines (261). For example, elevated levels of anti-nuclear and anti-dsDNA antibodies and, in one case, even anti-histone antibodies, occurred in various patients who developed autoimmune hepatitis after the first dose (132) or new onset SLE after the second or third dose of the BNT162b2 mRNA vaccine (129, 131, 132) or the mRNA-1273 vaccine (126).

4.4 RAGE shuttles extracellular DNA

At least one PRR is capable of sensing dsDNA outside of the cell: Although RAGE had been discovered as a receptor of advanced glycation end products, it functions as a multi-ligand PRR that senses diverse DAMPs, including HMGB1, S100 proteins and dsDNA, to activate NF-κB. RAGE is a transmembrane protein expressed in endothelial cells, pneumocytes, T and B cells, alveolar macrophages, monocytes and dendritic cells (262). In addition, proteolytic cleavage of the extracellular portion of membrane-bound RAGE can release soluble forms of RAGE, a process which is upregulated by inflammatory signals. Increased soluble RAGE in serum is also a predictor of mortality among COVID−19 patients (31, 32). The expression of RAGE was significantly increased in patients with severe COVID-19, along with its ligands, including S100 and HMGB-1 (263, 264), and a system-wide transcriptomic analysis identified RAGE among the strongly upregulated genes in the liver, and among the slightly, but significantly upregulated genes in the heart and lymph nodes of COVID-19 patients (Supplementary Table S2 to (265)). The causal involvement of RAGE in vascular injury and severe disease in COVID-19 patients was underlined by the reduced systemic inflammation and damage to blood vessels and increased survival of mice treated with pharmacological inhibitors of RAGE (262). Of particular interest in the context of the present work, RAGE can trigger inflammation by activating NF-κB, and it can sequester extracellular DNA to facilitate its transport to the endosome and thus, its exposure to TLR9 (30). Moreover, RAGE can trigger a prolonged activation of NF-κB that apparently overcomes several endogenous negative feedback control mechanisms (reviewed in (24)). Since RAGE itself is a NF-κB controlled gene, RAGE is particularly prone to contribute to potentially fatal feedforward scenarios, and NF-κB has been suggested to ‘universally enhance STING-mediated immune responses’ (266).

5 Spike and dsDNA sensors in the adverse events after COVID-19 vaccination

Will scientists once again pursue “quick and easy solutions” in the hopes of stimulating a protective antibody response despite existing evidence that coronavirus vaccines (for animals) based on the S or Spike surface protein have largely been ineffective?” Anne S. De Groot, 2003 (93)

5.1 Spike is expressed in vaccinees

The SARS-CoV-2 Spike protein, CoV-2 S, is the target encoded by the mRNA vaccines (267, 268). Although mRNA is normally assumed to have a short persistence time, it is highly likely that CoV-2 S is expressed on the cell surfaces of vaccinees over a considerable timespan (2, 17, 36, 182, 186, 269, 270). Vaccine mRNA has been detected at least 15 days after the first or second dose of BNT162b2 (271). Since only one (negative) sample covered a later time point (27 days) in this study, it seems likely that the persistence time of vaccine mRNA is longer than 15 days. In fact, another group detected vaccine mRNA in blood samples from 10 of 108 Hepatitis C Virus-infected patients at 28 days after vaccination (272), and in the germinal centres of axillary lymph nodes, vaccine mRNA was even detected at significant abundances at 37 days post vaccination and remained detectable at 60 days post vaccination (273). Similarly, spike itself was detected in the endothelial cells within inflamed areas of the brain and heart of a man who died three weeks after receiving his third vaccine dose with BNT162b2 mRNA (274), and in the plasma of individuals who exhibited postvaccination myocarditis, most of them within a week after vaccination with the BNT162b2 or the mRNA-1273 vaccine (134). In another study, circulating S1 was detected in the plasma of eleven out of 13 participants and, although it peaked on average 5 days after receiving the first dose of mRNA-1273, Spike was detected still after 15 days (275). Plasma S protein levels of 10 ng ml-1 were observed 10 days after vaccination in a woman with mRNA-1273-induced thrombocytopenia, while S1 concentrations reported for plasma of COVID-19 patients oscillate around 50 pg ml-1 and can reach maximum levels about 1 ng ml-1 (reviewed in (276)). Considering in addition that Spike expression in vaccinees is likely to occur in tissues and organs that in SARS-CoV-2-infected individuals are unlikely to be reached by circulating CoV-2 S, potential effects of Spike on host immunity and other vital functions must be taken seriously.

5.2 Syncytia formation and DNA damage have beneficial effects (for the virus)

In 2020, Jiang Hui and Mei Ya-Fang presented the hypothesis that CoV–2 S impairs DNA damage repair and thereby reduces the efficiency of an essential step in antibody production: the adaptive production of diverse antigen receptors via regulated dsDNA breaks and their subsequent repair (277). This work has been heavily criticised and finally was retracted. One of the critical voices was Derek Lowe (278) who, among other points, highlights that Jiang & Mei transfected DNA into specific and cultured cell lines, which do not necessarily respond like cells in vivo. Lowe reassures that - although “a lot of people are worried about Spike protein circulating around through the body”, “there is no evidence (and no particular reason to believe) that circulating Spike protein after vaccination, such as it is, gets taken up into other cell types and then taken into their nuclei” (278). Indeed, I am not aware of a report on CoV-2 S entering the nucleus, and cytosolic S protein does likely not trigger inflammation in epithelial cells (279). Still, I think that there is enough evidence that (and how) CoV-2 S can damage cells and – in particular – their DNA without entering the nucleus.

Evidence for a DNA-damaging effect of SARS-CoV-2 - and perhaps CoV-2 S - is accumulating (23, 36, 280283). Comet assays and γ-H2AX immunostaining revealed elevated levels of DNA damage in SARS-CoV-2-infected Huh7 or Vero-6 (African green monkey kidney) cells (66, 190, 284, 285), but also in lymphocytes and cardiac tissue of deceased COVID-19 patients (286288). In the human studies, DNA damage levels correlated with Il-6 expression in infected cells (285) and serum levels of IL-6 (287) and of other inflammatory ILs (286). Post-mortem transcriptomic analyses of cardiac tissues of COVID-19 patients revealed an enrichment of DNA damage and repair, heat shock, and cell cycle control among the predominant upregulated genes (288). An increase in oxidative stress and in the number of DSBs has been observed in PBMCs from older individuals at 24 h after vaccination with BNT162B2 (280), and several p53-controlled genes, including those related to apoptosis and DNA-repair, were overexpressed in PBMCs from a patient who developed myocarditis after BNT162b2 vaccination (hence, likely as a consequence of CoV-2 S expression in the absence of infection) (289). The consequences of these alterations comprise cell cycle arrest in the S1-phase, the activation of a pro-inflammatory senescence-associated secretory phenotype that exhibits elevated resistance to programmed cell death (190, 246), and enhanced expression of NF-κB and of the ACE2 promoter (290, 291).

In fact – as described earlier for HIV-1 (15, 292294) - SARS-CoV-2 induces NF-κB, which inhibits the DNA damage-activated transcription factor p53. P53 is involved in cell-cycle control as part of the DDR, including the decision ‘DNA repair versus elimination of cells’ (295, 296). Correspondingly, p53-controlled genes were overexpressed in leukocytes from patients with severe COVID-19 (297). Moreover, SARS-CoV-2 degrades checkpoint kinase (CHK)1 (190), an effector downstream to Ataxia telangiectasia and Rad3 related protein (ATR) that earlier had been demonstrated to be induced in SARS-CoV-2-infected Vero-6 cells (284). Consequently, an inhibitor of ATR blocks the replication of SARS-CoV-2 after entering cells and thus, was identified as a potential anti-COVID drug that exhibits antiviral activity against SARS-CoV-2 in diverse cell types (298).

Zhou et al. (17) were among the first who discovered that the switch from a suppression to an (over-)induction of cytokine signalling associates with syncytia formation. Intriguingly, they also reported that CoV-2 S expression is sufficient to fuse cells. Several independent studies confirmed syncytia-formation by virus-free, Spike-expressing cells (23, 186, 269, 299302). Syncytia formation, in turn, is inevitably associated with micronuclei formation, nuclear membrane blebbing and therefore, DNA damage, which ultimately leads to cell death (17, 23, 36). Later work confirmed that syncytia formation triggers IFN I signalling (23).

If we swich from the human perspective to the perspective of the virus, CoV-2 S-mediated detrimental effects of SARS-CoV-2 on host DNA become something that one simply would expect. Common knowledge holds that coronavirus Spike proteins control binding to the ACE2 receptor and subsequent fusion of the viral and the plasma - or endosomal membrane - of host cells, to facilitate viral entry (2, 186, 270) (Figure 3). However, viruses that replicate in the cytosol are short of raw material, i.e., nucleic acids, viruses gain a fitness advantage from supressing or escaping from the host immune system, and all viruses are under selective pressure to make the most efficient use of their small set of genes. Therefore, being a protein evolved to facilitate membrane fusion and the formation of pores, the Spike protein of SARS-CoV-2 has at least two additional jobs: it is employed to destabilise the nuclear envelope, and for syncytia formation (33, 34): a process associated with DNA damage, including the exposure of chromatin to cytoplasmatic DNA sensors (34, 36). For the latter, CoV-2 S possesses a signal that facilitates trafficking to the cell surface (269) and therefore is also expressed on the membrane of infected cells (182, 186, 269). Both effects benefit the virus: while nuclear membrane blebbing facilitates the liberation of the required ‘raw material’ from the nucleus, syncytia allow for viral spread without exposure to host antibodies, NETs or macrophages (Figure 3).

Evidently, more research will be required in this context. Most of the studies that reported syncytia-formation in virus-free systems that employed widely used model cell lines like HEK293T (human kidney cells), HeLa (human cancer cells), Calu-3 (human lung cells) or Huh-7 (human liver cells), which are overexpressing ACE2, and the used plasmid-based transfection systems further contribute to generate artificial conditions that limit a direct translation of the obtained results to realistic in vivo situations. On the other hand, the Spike protein encoded by the mRNA vaccines is stabilised in the prefusion-conformation to facilitate ACE2-binding and cell entry (303). It would be interesting to investigate to which degree syncytia formation is affected by this change versus ACE2 expression level (17, 23, 36, 269). In short, the virus uses CoV-2 S to damage it´s host´s DNA, and thereby enhances the lifetime of the infected cells and at the same time, upregulates ACE2 expression to decorate more cells with its entry receptor. By doing so, CoV-2 S activates certain elements of innate immunity which are also induced downstream to dsDNA sensing. Since CoV-2 S decorates more cells with the SARS-CoV-2-entry receptor, expression of this protein alone can be sufficient to trigger cell-to-cell fusion and subsequent nucleus-to cytosol shuttling of chromatin (17, 23).

Therefore, a scenario in which vaccination leads to an overstimulation of the innate immune responses downstream to dsDNA-sensors that generate the mentioned adverse effects appears definitively possible. In the following, I compile information on how CoV-2 S and SARS-CoV-2 infection affect elements of the dsDNA-sensing machinery and then develop a worse-case scenario describing hypothetical effects of Spike expression in an innate immune-environment that has already been primed by a prior SARS-CoV-2 infection. To base this scenario on – admittedly indirect – empirical evidence, I first highlight similarities between SARS-CoV-2 and HIV-1 that are related to HIV-1’s effects on DNA damage, dsDNA-sensing, inflammation, and autoimmunity.

5.3 Shared features: learning from HIV-1

Although there is much to learn about SARS, many lessons can already be drawn from our experience with HIV”. Anne S. De Groot, 2003 (93)

Interfering with the DDR or directly damaging their host’s DNA, syncytia formation, and the induction of bystander cell death, as drivers of inflammatory responses that harm the host and benefit the virus: all these particularly important features are shared among HIV-1 and SARS-CoV-2 (304306). Several inflammatory and autoimmune-related pathologies coincide among HIV-1-infected individuals, COVID-19 patients and vaccinated individuals who suffer from severe adverse effects. Based on the knowledge available to far, it seems very likely that these similarities result from the same mechanisms acting in all three contexts. Likewise, an enhanced prevalence of autoantibodies against nuclear self-antigens had already been reported for patients with HIV-1, particularly for HIV-1-infected patients presenting thrombocytopenia (91, 98, 307, 308). The present work is far from being the first one to highlight HIV-1 as an example from which a lot can (or could have been) learned for faster and more efficient response to the COVID-19 pandemic (93, 94, 309), and even the global phosphorylation landscape of SARS-CoV-2 infection revealed extensive similarities with the patterns in protein activation early during HIV-1 infection (310).

Since the early nineties of the last century, HIV-1 is known to damage the DNA of its host and activate genes involved in the DNA damage response (DDR) (294, 311314), and HIV-1 is also well known for its ability to fuse its host cells and thereby reach 4-5 times higher reproduction rates (304, 315). In the case of HIV-I, the bipartite envelope glycoprotein (Env) performs the two essential functions of binding to receptors on the surface of target cells and fusion among host-cell and viral membranes, including the formation of a fusion pore to deliver the viral core into the cell cytoplasm (306). Apparently, the virus employs the same protein to destabilize the nuclear envelope. In this context, it seems important to recall that SARS-CoV and SARS-CoV-2 are closely related and that consequently, the S2 domain of the SARS-CoV spike protein and of CoV-2 S are highly similar (2, 34, 270). Importantly, SARS-CoV spike, in turn, shares multiple structural similarities with the gp41 unit of the envelope glycoprotein of HIV-1 (135, 316). Based on these similarities, which are underlined by the cross-reaction of CoV-2 S-directed non-neutralizing polyclonal antibodies with gp41 (317), these proteins can be expected to interact with cell membranes via the same mechanism.

Furthermore, while there should be no need to repeat that HIV-1 infects mobile immune cells (in particular CD4+ T helper cells), it seems worth to mention that evidence for SARS-CoV-2 doing the same is accumulating. SARS-CoV-2 has been shown to infect monocytes, macrophages and B-cells (22, 28, 318), and at least Pontelli et al (318) present evidence supporting a successful reproduction of the virus in these cells, although at low rates. Since excessive infiltration of mobile pro-inflammatory cells such as macrophages and T-helper 17 cells has been found in lung tissues of patients with COVID-19 (11), it appears at least possible that SARS-CoV-2 can apply a strategy that was considered unique to HIV-1: triggering local inflammation to attract mobile immune cells and infect these cells to achieve systemic distribution throughout the host.

A further shared element is the importance of eATP as a DAMP: HIV-1-infected target cells release ATP, which then acts on purinergic receptors to stimulate fusion between Env-expressing and CD4+ expressing membranes (319). eATP also favoured the infection of microglia with HIV-1, an effect that was associated with elevated levels of IL-6 and IL-18 and with changes in p53 activity (320). The relevance of this is underlined by the observation that an inhibitor of P2X receptors effectively inhibited cell-to-cell transfer of HIV-1 from productively infected CD4+ lymphocytes (321). Therefore, therapeutic applications of P2X7R antagonists seem promising tools to control infection with HIV-1 (322), but also SARS-CoV-2, but also SARS-CoV-2 (Table 1).

Table 1
www.frontiersin.org

Table 1 Shared features of HIV-1, SARS-Co-2 and their envelope proteins.

5.4 Effects of COVID-19 and CoV-2 S on innate immunity

Although viruses usually supress or avoid host immunity, CoV-2 S has been suggested to induce inflammation via a TLR2 (or TLR4) – and MyD88-dependent dependent activation of the NF-κB pathway in human and mouse macrophages (279), and also to trigger lung cancer progression, again via TLR2 (331). Likewise, intravenous administration of Spike or a stimulation of cultured cells with CoV-2 S induced the expression and release of TNF-α, IL-1β, IL-6 and IL-18 in PBMCs, macrophages, monocytes, lung epithelial cells, human umbilical vein cells as well as in lung, liver, kidney, and eye tissues (279, 332, 333). In fact, the S1 subunit alone was observed to induce an increased production of IL-6 and activation of NF-κB and in consequence, inflammation in endothelial cells (334), and circulating S1 induced the expression of TLR2, TLR4, NLRP3, IL-1β, TNFα and HMGB1 in rats at 24 h after treatment, and TLR2, TLR4, NLRP3 and IL-1β remained overexpressed even after seven days (335). Spike also has been reported to activate caspase 1 and the NLRP3 inflammasome in hematopoietic stem/progenitor cells and endothelial progenitor cells (336). Intriguingly, exposure to CoV-2 S of human umbilical vein cells activated NF-κB and ACE2 (333), while vice-versa, administration of an ACE2 inhibitor blocked the activation of inflammasome components by Spike (336). Quantification of lactate dehydrogenase (LDH) enzymatic activity in the culture medium confirmed pyroptotic cell death of these cells (336). Most of the beforementioned studies used commercially available, recombinant spike proteins produced in human cells (279, 333, 335), hamster cells (332), or E. coli (334), which opens the possibility of contaminations with immunogenic molecules that originate from the expression system. For example, bacterial lipopolysaccharides at very low concentrations as they have been detected as contaminations in commercial proteins activated human immune cells (337), and these endotoxins also signal via TLR4 (338). However, at least Sung et al. (339) used a pseudotyped lentivirus carrying the SARS-CoV-2 Spike protein, hence, a situation that resembles the vaccines. Assuming the reported in vitro-effects of CoV-2 resemble the situation in vivo, we can expect them to apply also to an infection with SARS-CoV-2. Indeed, nasopharyngeal epithelial cells of COVID-19 patients exhibited significantly higher expression of TLR2 and TLR4 as compared to controls (340), and TLR4 and its downstream elements (including Myd88, IRAK1 and TRAF6, and NF-κB - dependent genes) were significantly upregulated in PBMCs from 20 human COVID-19 patients (341).

5.5 Spike acting post-COVID-19: sketching the worse-case-scenario

The studies cited in 5.4. demonstrate that infection with SARS-CoV-2 S can prime the innate immune system for faster and stronger responses to any subsequent infection or other cell-damaging event. Indeed, plasma from COVID-19 patients exhibited increased in P2X7 expression (342). eATP can act as a second signal that activates inflammasomes, as shown by the observation that exposure to CoV-2 S followed by eATP triggered a stronger expression of pro-IL-1β, ASC, NLRP3 and gasdermin D in macrophages derived from COVID-19 patients than in SARS-CoV-2 naïve cells, and only patient-derived macrophages exhibited active ASC specks and increased secretion of TNF-α and IL-1β (229). Importantly, altered inflammasome and stress responses persisted after short-term patient recovery (29) and the differential responsiveness was maintained even by macrophages from fully convalescent COVID-19 patients after more than 50 days (i.e., after several cycles of monocyte renewal) (229). Likewise, TLR4 and its downstream elements (including Myd88, IRAK1 and TRAF6, and NF-κB - dependent genes) were significantly upregulated in PBMCs from 20 human COVID-19 patients (341).

These studies confirm that infection with SARS-CoV-2 causes a long-term reprogramming of the immune system, particularly in macrophages. Thus, it seems plausible that in vaccinees who had an infection before being vaccinated, the effects of SARS-CoV-2 expression (including DNA damage) occurred in the context of a primed DNA-sensing machinery: a situation that can strongly enhance its immunogenic potential. Others discovered that S1 and S2 proteins administered intraperitoneally triggered enhanced concentrations of IL-6, IL-1β, and TNFα (16 hr post treatment) in WT mice but not in mice lacking TLR2, which indicates a role of TLR2, rather than TLR4 (279). In addition, CoV-2 S induced an enhanced release of ATP and IL-1β from human lung epithelial cells (249) and cultured microglial cells (BV2 line) and in the latter, it also induced the expression of the purinergic eATP receptor P2X7 (343).

I conclude that SARS-CoV-2-mediated immune priming can enhance the DNA-damaging and pro-inflammatory effects of CoV-2 S and cause certain responses to pass a threshold or point of no return, reaching those dimensions that we see in the severe adverse effects of the Spike-based mRNA vaccines. Even phase III vaccine trials usually exclude individuals who show preexisting immunity due to previous infection, but the vaccination campaigns included significant proportions of the entire population at a time point at which many people had already passed through an infection with SARS-CoV-2, and pre-existing immunity was seldom checked in these mass vaccination events. In summary, immune priming represents an example of a mechanism that could generate different outcomes of vaccination depending on an earlier – perhaps non-symptomatic and not detected – infection with SARS-CoV-2.

6 Lessons and recommendations

Altogether, these findings motivate several recommendations.

6.1 Consider the ‘old’ literature and knowledge from other pathologies

Most of the published work on the SARS-CoV S protein and the similarities of SARS-CoV-2 with HIV-1 was ignored in the searches for new or pre-existing drugs to treat COVID-19 patients, and in the scientific activities involved in vaccine development. Perhaps as a consequence, on the one hand, patients were treated with IFN and indeed, slightly (although not significantly) more people died in the treatment group (344). On the other hand, DNases or DNA scavengers were hardly considered: to the best of my knowledge, all studies in which patients were treated with Dornase α are cited in chapter 3.5 (116119, 121, 188, 222), and the obtained results – in particular the survival of all involved patients - clearly demonstrate the beneficial effects of anti-DNA treatments. As suggested by Anne de Groot and an international group with lead author Nevan Krogan (93, 310), existing knowledge should be considered even when it must be found in 20 years ‘old’ papers. Moreover, searches for similar pathogens should define ‘similarity’ with a focus on shared strategies or functions of the pathogen that generate similar effects on the interactions with the host, rather than on ‘taxonomic similarity’ defined at the level of sequences.

6.2 Don’t forget about the self-DNA!

We did not expect an RNA virus like SARS-CoV-2 to be sensed by the DNA sensor AIM2”. Caroline Junqueira et al., 2021 (345)

In addition to the beforementioned issues, it seems that the dominance of the Janeway paradigm (346, 347) has significantly hindered a full appreciation of the immunogenic and pro-inflammatory effects of self-DNA. In fact, the author is aware of a few concrete cases in which the publication of results supporting the immunogenic effects of self-DNA or the danger model in general was significantly slowed down (personal communications by Polly Matzinger and Verena Kopfnagel, and own observations (348)). As a consequence, it seems that cfDNA, and nDNA in particular, remains strongly under-investigated. Even among those studies that originally linked the inflammation-related complications in COVID-19 to dsDNA sensors, only a single one has directly quantified mtDNA and nDNA and none has treated cells with natural DNA, as done, for example, in some of the studies that investigated the role of cfDNA in trauma (69). Nevertheless, even among the classical studies on trauma, three studies focused on mtDNA (66, 67, 170), although the fourth study found that serum IL-6 levels, inflammation and critical illness correlated with the levels of nDNA, not mtDNA (68). Likewise, most of the clinical studies that quantified plasma DNA concentrations as a possible marker of severe COVID-19 have quantified only mtDNA, without citing any empirical evidence for the assumed non-activity of nDNA.

Evidently, future work will have to provide definitive evidence for a causal role of cfDNA in severe COVID-19 or the vaccine-triggered adverse events. Still, beyond doubt, cfDNA levels in the blood or plasma are a useful biomarker of disease severity in COVID-19 patients and likely, a predictor of certain adverse effects of the vaccines. Although it would be difficult to follow the advice of The European Academy of Allergy and Clinical Immunology (EAACI) that “all clinical and laboratory information should be collected and reported…to understand the specific nature of the reported severe allergic reactions” (349), it seems mandatory to include cfDNA of both mitochondrial and nuclear origin and anti-dsDNA antibodies in the list of standard laboratory information that should be obtained for patients that suffer from autoimmune-related or chronic inflammatory pathologies and for all participants in future vaccination trials.

6.3 Consider synergies and other mechanisms that create context dependency

“…studies … are often performed using a single well-defined ligand. However, …cells usually receive multiple inputs or experience many environmental alterations simultaneously.” Andrea Ablasser, 2019 (123)

Multiple reports on stronger responses to a certain trigger shown by cells from COVID-19 patients or in response to DNA bound to other DAMPs provide examples of clinically important synergistic effects. In particular, extracellular self-DNA gains immunogenic properties when bound to other DAMPs or extracellular vesicles, independently of the concrete pathosystem. Therefore, the suggested effects can occur in basically all situations that comprise tissue damage, particularly when this damage occurs in the context of pre-activated innate immune signalling. The antibody-assisted infection of cells and the priming of certain immune responses by viral proteins represent further examples of synergies that can create a significant level of context dependency in the obtained results. As outlined by Andrea Ablasser, such effects are likely to be overlooked in experiments that expose naïve cell lines under controlled conditions to a single ligand (123). If we, e.g., study human defensin 5 (HD5) and the human cathelicidin known as LL-37 each in an isolated manner, we will observe that LL-37 binds to the carboxypeptidase domain of human ACE2 even stronger than HD5. From this observation, we could conclude that LL-37 bears a great potential to be tested as an anti-SARS-CoV-2 peptide, because it blocks the entry receptor of the virus (350). However, in vivo, the release of LL-37 and human β-defensin 3 might take place in the presence of pyroptotic cells or other sources of cfDNA. In case that – as shown earlier – these proteins facilitate the uptake of self cfDNA into pDCs and monocytes (239) and thereby potentiate its immunogenic potential to trigger pro-inflammatory effects through the TLR9 pathway (351), the net outcome of treating severe COVID-19 patients at the later stages of the disease with LL-37 might be fatal, as SARS-CoV-2 infection has significantly declined, while the inflammatory response escalates dramatically, becoming predominant (67).

7 Drawbacks and limitations of the present work

8.1 First, and most importantly, the author of this contribution has no medical degree but rather, is a plant ecologist who discovered the immunogenic effects of self-DNA in plants. I can only hope that the readers appreciate the non-specialist’s perspective to an important medical topic and forgive me all the technical errors.

8.2 Second, although it seems a hackneyed wisdom, correlations do not necessarily mean causality, and similar or even identical symptoms do not necessarily result from the same mechanism.

8.3. Final evidence for a causal role of elevated levels of cytosolic or extracellular self-DNA as a driver of systemic inflammation in severe COVID-19 remains to be provided, and it will be difficult to separate the TLR-mediated pro-inflammatory effects of CoV-2 S from pro-inflammatory effects that are – as suggested by the present work – caused by self-DNA release due to CoV-2 S-mediated damage to genomic DNA and the nuclear envelope. However, the results obtained by Park & col with their mouse model (119) and Oku & col (117) and Weber & col (118) with human COVID-19 patients provide very strong evidence in favour of this role.

8.4 Third, most of the discussed adverse effects are not exclusive for the mRNA-based COVID-19 vaccines but have also been observed in patients that received adenovirus-based COVID-19 or non-COVID-19 vaccines, although at much lower frequency. In addition, all these effects were also present in COVID-19 patients, and most were more frequent among COVID-19 patients as compared to vaccinees. Even autoantibodies are also being reported from COVID-19 patients (143, 256, 258). The other way round, several of the studies that tested for plasma concentrations of nDNA or mtDNA failed to detect a statistically significant difference between light and severe cases or between deceased and discharged patients (21). Likewise, I am only aware of a single report that connects adverse effects of the COVID-19 mRNA vaccine to inflammasome-activation (352).

8.5 If all the above was true, how do we explain that the vast majority of vaccinees did not present adverse events, at least no severe ones? And how can we explain contradictory reports, e.g. that “chronic stimulation with SARS-CoV-2 Spike protein does not trigger autoimmunity” (353).

8.6 As this paper focuses on DAMP/DNA-dependent mechanisms shared by HIV-1 and SARS-CoV-2, various further, alternative (but non-exclusive) explanations, including effects of the longer activity of the mRNA or direct effects of blocking the ACE2 receptor, have not been ruled out. In addition, I have focused on the mechanisms in order to discuss all interpretations of pro-inflammatory and immunogenic effects of DNA, because detrimental innate immune activation and inflammation represent the shared element between HIV-1, COVID-19 and adverse vaccine effects. For example alternative interpretations leading to different conclusions exist even for the observation of elevated levels of cfDNA in vaccinee plasma, which has been interpreted as a favourable indicator of the formation of memory B cells after vaccination (127). In general, we must not forget that DNA-induced inflammation and pyroptotic cell death usually represent adaptive immune responses which benefit the host.

8 Conclusions and outlook

Several lines of - mainly correlative - evidence suggest that extracellular self-DNA acting as a pro-inflammatory DAMP represents a shared element that contributes to diverse life-threatening complications in patients infected with HIV-1 and with SARS-CoV 2, and that a contribution to some of the severe adverse events after vaccination with the mRNA vaccines represents a possibility that merits further investigation. Evidently, any attempt to explain the outcomes of complex, systemic processes with a single factor is determined to fail, and the present work by no means tries to claim that immunogenic DNA is the only important factor. However, self-DNA and other DAMPs have the specific features to prime numerous elements of the innate immune response and to engage in positive feedforward mechanisms and synergistic effects, including the formation of closed loops that lead to self-induction phenomena. For example, extracellular DNA at normally non-immunogenic concentrations can gain immunogenic properties when binding to HMGB1, then activate TLR9 which ultimately leads to pyroptosis and the release of more DNA and HMGB1. Context-dependent processes that eventually enter feed-forward dynamics are notoriously difficult to monitor, and more so in unbiased screenings. Therefore, immunogenic self-DNA represents a prime candidate of a frequently overlooked important factor whose true role hardly becomes evident in the classical one-treatment experimental designs. In the light of this possibility, the general tendency to tone down the adverse effects of SARS-CoV-2 vaccines as “often troubling but may merely reflect transient production of type I interferons, a normal physiological response to contact with invading microorganisms” (354) appears in a different light.

Under certain conditions, usually transient effects might pass a certain threshold and then become subject to very different dynamics. Therefore, all those of the above-described mechanisms that can form positive feedback loops can potentially lead fatal outcomes under certain circumstances. Whether SARS-CoV-2 Spike causes DNA damage or inhibits the DDR remains to be shown. However, the consequences of DNA damage- even at low levels - on IFN I signalling and inflammation could be potentiated if concurrent damage to the nuclear envelope facilitates DNA release from the nucleus and subsequent sensing by of cytosolic DNA or when damage to the cell membrane facilitates the release of DNA together with other DAMPs and thus, the formation of immune complexes.

At the very least, our question from 2019 “To what degree can … the use of DNA scavengers developed as specific treatments for cancer or diverse autoimmune diseases be adapted to treat individuals with chronic HIV-1 infection?” (65) has now been answered for SARS-CoV-2-infected patients, although only few patients received this kind of treatment and its transferability to intravascular NETs or other DNA-dependent inflammatory pathologies remains to be investigated (117, 118). It would be encouraging if future research and vaccine development efforts would reflect an increased awareness of the potential detrimental effects of immunogenic self-DNA and of the existence of treatment options which – as stated by Okur & col (117) for Dornase α – “are being administered to human patents since decades”, although in a different pathological context.

Data availability statement

The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding author.

Author contributions

MH: Conceptualization, Writing – original draft, Writing – review & editing.

Funding

The author(s) declare no financial support was received for the research, authorship, and/or publication of this article.

Acknowledgments

Both referees are acknowledged for numerous comments that helped to significantly improve the manuscript and - in case of referee 1 - also eliminated several technical and conceptual errors. I am also very grateful to Dr. June Kilpatrick Simpson for several rounds of English corrections, to Dr. Judy Lieberman for various insightful emails about the secret life of inflammasomes, to Emma Jokinen for her encouraging messages and to Emma, Francesca Granucci and the entire editorial team for the generosity to grant the likely longest deadline extension in the history of Frontiers Research Topics.

Conflict of interest

The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Abbreviations

ACE2, Angiotensin-converting enzyme 2; AIM2, Absent in melanoma 2; ASC, Apoptosis-associated speck containing a caspase recruitment domain (CARD); ATR, Ataxia telangiectasia and Rad3 related protein; CHK1, Checkpoint kinase 1; cGAS, Cyclic GMP–AMP synthase; cfDNA, cell-free DNA; COVID-19, Coronavirus disease 2019; DAMPs, Damage-associated molecular patterns; DDR, DNA damage response; ds, double stranded; eDNA, extracellular DNA; HMGB1, High-mobility group box protein 1; HIV-1, Human Immunodeficiency Virus 1; ICU, Intensive care unit; IFN I, Type I interferon; IL, Interleukin; IRF, Interferon regulatory factor 3; MAPK, Mitogen-associated protein kinase; mtDNA, mitochondrial DNA; MyD88, Myeloid differentiation primary response protein 88; nDNA, nuclear (genomic) DNA; NF-κB, Nuclear factor kappa-light-chain-enhancer in B-cells; NLRP3, Nucleotide-binding oligomerization domain (NOD)-like leucine-rich repeat (LRR) and PYRIN domain containing; PBMCs, Peripheral blood mononuclear cells; PRR, Pattern recognition receptor; RAGE, Receptor for advanced glycation end products; ROS, Reactive oxygen species; SARS-CoV-2, Severe Acute Respiratory Syndrome Coronavirus 2; SLE, Systemic lupus erythematosus; ss, single stranded; STING, Stimulator of interferon genes; TBK1, TNF receptor associated factor (TRAF) associated NF-κB activator (TANK) binding kinase 1; TLR, Toll-like receptor; TNF-α, Tumour necrosis factor α.

References

1. Deguine J. Common senses. Trends Immunol (2017) 38:691–2. doi: 10.1016/j.it.2017.09.001

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Lu R, Zhao X, Li J, Niu P, Yang B, Wu H, et al. Genomic characterisation and epidemiology of 2019 novel coronavirus: implications for virus origins and receptor binding. Lancet (2020) 395:565–74. doi: 10.1016/S0140-6736(20)30251-8

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Del Valle DM, Kim-Schulze S, Huang H-H, Beckmann ND, Nirenberg S, Wang B, et al. An inflammatory cytokine signature predicts COVID-19 severity and survival. Nat Med (2020) 26:1636–43. doi: 10.1038/s41591-020-1051-9

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Guan W, Ni Z, Hu Y, Liang W, Ou C, He J, et al. Clinical characteristics of coronavirus disease 2019 in China. New Engl J Med (2020) 382:1708–20. doi: 10.1056/NEJMoa2002032

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Huertas A, Montani D, Savale L, Pichon J, Tu L, Parent F, et al. Endothelial cell dysfunction: a major player in SARS-CoV-2 infection (COVID-19)? Eur Resp J (2020) 56:2001634. doi: 10.1183/13993003.01634-2020

CrossRef Full Text | Google Scholar

6. Hadjadj J, Yatim N, Barnabei L, Corneau A, Boussier J, Smith N, et al. Impaired type I interferon activity and inflammatory responses in severe COVID-19 patients. Science (2020) 369:718–24. doi: 10.1126/science.abc6027

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Torres Acosta MA, Singer BD. Pathogenesis of COVID-19-induced ARDS: implications for an ageing population. Eur Resp J (2020) 56:2002049. doi: 10.1183/13993003.02049-2020

CrossRef Full Text | Google Scholar

8. Lin R, Xing J, Zheng C. Editorial: sensing DNA in antiviral innate immunity. Front Immunol (2021) 12:644310. doi: 10.3389/fimmu.2021.644310

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Di Domizio J, Gulen MF, Saidoune F, Thacker VV, Yatim A, Sharma K, et al. The cGAS-STING pathway drives type I IFN immunopathology in COVID-19. Nature (2022) 603:145–51. doi: 10.1038/s41586-022-04421-w

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Awasthi S, Wagner T, Venkatakrishnan AJ, Puranik A, Hurchik M, Agarwal V, et al. Plasma IL-6 levels following corticosteroid therapy as an indicator of ICU length of stay in critically ill COVID-19 patients. Cell Death Discovery (2021) 7:55. doi: 10.1038/s41420-021-00429-9

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Tang Y, Liu J, Zhang D, Xu Z, Ji J, Wen C. Cytokine storm in COVID-19: the current evidence and treatment strategies. Front Immunol (2020) 11:1708. doi: 10.3389/fimmu.2020.01708

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Rodrigues TS, de Sá KSG, Ishimoto AY, Becerra A, Oliveira S, Almeida L, et al. Inflammasomes are activated in response to SARS-CoV-2 infection and are associated with COVID-19 severity in patients. J Exp Med (2020) 218:e20201707. doi: 10.1084/jem.20201707

CrossRef Full Text | Google Scholar

13. Barnett KC, Xie YY, Asakura T, Song DK, Liang KX, Taft-Benz SA, et al. An epithelial-immune circuit amplifies inflammasome and IL-6 responses to SARS-CoV-2. Cell Host Microbe (2023) 31:243. doi: 10.1016/j.chom.2022.12.005

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Naqvi I, Giroux N, Olson L, Morrison SA, Llanga T, Akinade TO, et al. DAMPs/PAMPs induce monocytic TLR activation and tolerance in COVID-19 patients; nucleic acid binding scavengers can counteract such TLR agonists. Biomaterials (2022) 283:121393. doi: 10.1016/j.biomaterials.2022.121393

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Neufeldt CJ, Cerikan B, Cortese M, Frankish J, Lee J-Y, Plociennikowska A, et al. SARS-CoV-2 infection induces a pro-inflammatory cytokine response through cGAS-STING and NF-κB. Commun Biol (2022) 5:45. doi: 10.1038/s42003-021-02983-5

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Papanikolaou C, Rapti V, Stellas D, Stefanou DT, Syrigos K, Pavlakis GN, et al. Delineating the SARS-CoV-2 induced interplay between the host immune system and the DNA damage response network. Vaccines (2022) 10:1746. doi: 10.3390/vaccines10101764

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Zhou Z, Zhang X, Lei X, Xiao X, Jiao T, Ma R, et al. Sensing of cytoplasmic chromatin by cGAS activates innate immune response in SARS-CoV-2 infection. Signal Transduct Targ Ther (2021) 6:382. doi: 10.1038/s41392-021-00800-3

CrossRef Full Text | Google Scholar

18. Costa TJ, Potje SR, Fraga-Silva TFC, Da Silva-Neto JA, Barros PR, Rodrigues D, et al. Mitochondrial DNA and TLR9 activation contribute to SARS-CoV-2-induced endothelial cell damage. Vasc Pharmacol (2022) 142:09609. doi: 10.1016/j.vph.2021.106946

CrossRef Full Text | Google Scholar

19. Scozzi D, Cano M, Ma L, Zhou D, Zhu JH, O’Halloran JA, et al. Circulating mitochondrial DNA is an early indicator of severe illness and mortality from COVID-19. JCI Insight (2021) 6:e143299. doi: 10.1172/jci.insight.143299

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Hammad R, Eldosoky MAER, Fouad SH, Elgendy A, Tawfeik AM, Alboraie M, et al. Circulating cell-free DNA, peripheral lymphocyte subsets alterations and neutrophil lymphocyte ratio in assessment of COVID-19 severity. Innate Immun (2021) 27:240–50. doi: 10.1177/1753425921995577

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Cardelli M, Pierpaoli E, Marchegiani F, Marcheselli F, Piacenza F, Giacconi R, et al. Biomarkers of cell damage, neutrophil and macrophage activation associated with in-hospital mortality in geriatric COVID-19 patients. Immun Ageing (2022) 19:65. doi: 10.1186/s12979-022-00315-7

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Junqueira C, Crespo Â, Ranjbar S, de Lacerda LB, Lewandrowski M, Ingber J, et al. FcγR-mediated SARS-CoV-2 infection of monocytes activates inflammation. Nature (2022) 606:576–84. doi: 10.1038/s41586-022-04702-4

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Liu X, Wei L, Xu F, Zhao F, Huang Y, Fan Z, et al. SARS-CoV-2 spike protein-induced cell fusion activates the cGAS-STING pathway and the interferon response. Sci Signal (2022) 15:eabg8744. doi: 10.1126/scisignal.abg8744

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Heil M, Vega-Muñoz I. Nucleic acid sensing in mammals and plants - facts and caveats. Int Rev Cell Mol Biol (2019) 345:225–85. doi: 10.1016/bs.ircmb.2018.10.003

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Gallucci S, Maffei M. DNA sensing across the tree of life. Trends Immunol (2017) 38:719–32. doi: 10.1016/j.it.2017.07.012

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Han LL, Zheng Y, Deng J, Nan ML, Xiao Y, Zhuang MW, et al. SARS-CoV-2 ORF10 antagonizes STING-dependent interferon activation and autophagy. J Med Virol (2022) 94:5174–88. doi: 10.1002/jmv.27965

PubMed Abstract | CrossRef Full Text | Google Scholar

27. He XT, Sun Y, Lu JZ, Naz F, Ma SL, Liu J. Cytoplasmic DNAs: Sources, sensing, and roles in the development of lung inflammatory diseases and cancer. Front Immunol (2023) 14:1117760. doi: 10.3389/fimmu.2023.1117760

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Sefik E, Qu R, Junqueira C, Kaffe E, Mirza H, Zhao J, et al. Inflammasome activation in infected macrophages drives COVID-19 pathology. Nature (2022) 606:585–93. doi: 10.1038/s41586-022-04802-1

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Lage SL, Amaral EP, Hilligan KL, Laidlaw E, Rupert A, Namasivayan S, et al. Persistent oxidative stress and inflammasome activation in CD14high CD16- monocytes from COVID-19 Patients. Front Immunol (2022) 12:799558. doi: 10.3389/fimmu.2021.799558

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Sirois CM, Jin TC, Miller AL, Bertheloot D, Nakamura H, Horvath GL, et al. RAGE is a nucleic acid receptor that promotes inflammatory responses to DNA. J Exp Med (2013) 210:2447–63. doi: 10.1084/jem.20120201

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Lim A, Radujkovic A, Weigand MA, Merle U. Soluble receptor for advanced glycation end products (sRAGE) as a biomarker of COVID-19 disease severity and indicator of the need for mechanical ventilation, ARDS and mortality. Ann Intensive Care (2021) 11:50. doi: 10.1186/s13613-021-00836-2

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Butcher L, Zaldua J-C, Carnicero JA, Hawkins K, Whitley J, Mothukuri R, et al. High levels of soluble RAGE are associated with a greater risk of mortality in COVID-19 patients treated with dexamethasone. Respir Res (2022) 23:303. doi: 10.1186/s12931-022-02220-5

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Costello DA, Millet JK, Hsia CY, Whittaker GR, Daniel S. Single particle assay of coronavirus membrane fusion with proteinaceous receptor-embedded supported bilayers. Biomaterials (2013) 34:7895–904. doi: 10.1016/j.biomaterials.2013.06.034

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Kouhpayeh S, Shariati L, Boshtam M, Rahimmanesh I, Mirian M, Esmaeili Y, et al. The molecular basis of COVID-19 pathogenesis, conventional and nanomedicine therapy. Internat J Mol Sci (2021) 22:5438. doi: 10.3390/ijms22115438

CrossRef Full Text | Google Scholar

35. Jackson CB, Farzan M, Chen B, Choe H. Mechanisms of SARS-CoV-2 entry into cells. Nat Rev Mol Cell Biol (2022) 23:3–20. doi: 10.1038/s41580-021-00418-x

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Ren H, Ma C, Peng H, Zhang B, Zhou L, Su Y, et al. Micronucleus production, activation of DNA damage response and cGAS-STING signaling in syncytia induced by SARS-CoV-2 infection. Biol Direct (2021) 16:20. doi: 10.1186/s13062-021-00305-7

PubMed Abstract | CrossRef Full Text | Google Scholar

37. de Noronha CMC, Sherman MP, Lin HW, Cavrois MV, Moir RD, Goldman RD, et al. Dynamic disruptions in nuclear envelope architecture and integrity induced by HIV-1 Vpr. Science (2001) 294:1105–8. doi: 10.1126/science.1063957

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Swanson KV, Deng M, Ting JPY. The NLRP3 inflammasome: molecular activation and regulation to therapeutics. Nat Rev Immunol (2019) 19:477–89. doi: 10.1038/s41577-019-0165-0

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Vora SM, Lieberman J, Wu H. Inflammasome activation at the crux of severe COVID-19. Nat Rev Immunol (2021) 21:694–703. doi: 10.1038/s41577-021-00588-x

PubMed Abstract | CrossRef Full Text | Google Scholar

40. de Rivero Vaccari JC, Dietrich WD, Keane RW, de Rivero Vaccari JP. The inflammasome in times of COVID-19. Front Immunol (2020) 11:583373. doi: 10.3389/fimmu.2020.583373

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Mahmoodpoor A, Sanaie S, Ostadi Z, Eskandari M, Behrouzi N, Asghari R, et al. Roles of mitochondrial DNA in dynamics of the immune response to COVID-19. Gene (2022) 836:146681. doi: 10.1016/j.gene.2022.146681

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Streng L, de Wijs CJ, Raat NJH, Specht PAC, Sneiders D, van der Kaaij M, et al. In vivo and ex vivo mitochondrial function in COVID-19 patients on the intensive care unit. Biomedicines (2022) 10:1746. doi: 10.3390/biomedicines10071746

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Edinger F, Edinger S, Koch C, Markmann M, Hecker M, Sander M, et al. Peak plasma levels of mtDNA serve as a predictive biomarker for COVID-19 in-hospital mortality. J Clin Med (2022) 11:7161. doi: 10.3390/jcm11237161

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Bai Y, Zheng F, Zhang TD, Luo QH, Luo YX, Zhou RL, et al. Integrating plasma cell-free DNA with clinical laboratory results enhances the prediction of critically ill patients with COVID-19 at hospital admission. Clin Transl Med (2022) 12:e966. doi: 10.1002/ctm2.966

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Jin X, Wang YQ, Xu JJ, Li YM, Cheng FJ, Luo YX, et al. Plasma cell-free DNA promise monitoring and tissue injury assessment of COVID-19. Mol Genet Genomic (2023) 298:823–36. doi: 10.1007/s00438-023-02014-4

CrossRef Full Text | Google Scholar

46. Andargie TE, Tsuji N, Seifuddin F, Jang MK, Yuen PST, Kong H, et al. Cell-free DNA maps COVID-19 tissue injury and risk of death and can cause tissue injury. JCI Insight (2021) 6:e147610. doi: 10.1172/jci.insight.147610

PubMed Abstract | CrossRef Full Text | Google Scholar

47. Mishra S, Dubey DB, Agarwal K, Dubey DB, Verma S, Shabbir N, et al. Circulating cell-free DNA level in prediction of COVID-19 severity and mortality: correlation of with haematology and serum biochemical parameters. Indian J Clin Biochem (2022) 38:172–81. doi: 10.1007/s12291-022-01082-4

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Henry BM, de Oliveira MHS, Cheruiyot I, Benoit J, Rose J, Favaloro EJ, et al. Cell-free DNA, neutrophil extracellular traps (NETs), and endothelial Injury in Coronavirus Disease 2019-(COVID-19-) associated acute kidney injury. Mediat Inflammation (2022) 2022):9339411. doi: 10.1155/2022/9339411

CrossRef Full Text | Google Scholar

49. Ng H, Havervall S, Rosell A, Aguilera K, Parv K, von Meijenfeldt FA, et al. Circulating markers of neutrophil extracellular traps are of prognostic value in patients with COVID-19. ATVB (2021) 41:988–94. doi: 10.1161/ATVBAHA.120.315267

CrossRef Full Text | Google Scholar

50. Leppkes M, Knopf J, Naschberger E, Lindemann A, Singh J, Herrmann I, et al. Vascular occlusion by neutrophil extracellular traps in COVID-19. eBioMedicine (2020) 58:102925. doi: 10.1016/j.ebiom.2020.102925

PubMed Abstract | CrossRef Full Text | Google Scholar

51. Cartin-Ceba R, Khatua B, El-Kurdi B, Trivedi S, Kostenko S, Imam Z, et al. Evidence showing lipotoxicity worsens outcomes in covid-19 patients and insights about the underlying mechanisms. iScience (2022) 25:104322. doi: 10.1016/j.isci.2022.104322

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Bello S, Lasierra AB, Lopez-Vergara L, de Diego C, Torralba L, de Gopegui PR, et al. IL-6 and cfDNA monitoring throughout COVID-19 hospitalization are accurate markers of its outcomes. Respir Res (2023) 24:125. doi: 10.1186/s12931-023-02426-1

PubMed Abstract | CrossRef Full Text | Google Scholar

53. Pereyra D, Heber S, Schrottmaier WC, Santol J, Pirabe A, Schmuckenschlager A, et al. Low-molecular-weight heparin use in coronavirus disease 2019 is associated with curtailed viral persistence: a retrospective multicentre observational study. Cardiovasc Res (2021) 117:2807–20. doi: 10.1093/cvr/cvab308

PubMed Abstract | CrossRef Full Text | Google Scholar

54. Rokach A, Ben Ami R, Cohen E, Bogot N, Kochan D, Kalak G, et al. COVID 19 severity is associated with the presence of lung derived cfDNA in plasma. Eur Resp J (2022) 60:4464. doi: 10.1183/13993003.congress-2022.4464

CrossRef Full Text | Google Scholar

55. Hepokoski ML, Odish M, Lam MT, Coufal NG, Rolfsen ML, Shadel GS, et al. Absolute quantification of plasma mitochondrial DNA by droplet digital PCR marks COVID-19 severity over time during intensive care unit admissions. Am J Physiol Lung Cell Mol Physiol (2022) 323:L84–92. doi: 10.1152/ajplung.00128.2022

PubMed Abstract | CrossRef Full Text | Google Scholar

56. Valdés-Aguayo JJ, Garza-Veloz I, Vargas-Rodríguez JR, Martinez-Vazquez MC, Avila-Carrasco L, Bernal-Silva S, et al. Peripheral blood mitochondrial DNA levels were modulated by SARS-CoV-2 infection severity and its lessening was associated with mortality among hospitalized patients with COVID-19. Front Cell Infect Microbiol (2021) 11:754708. doi: 10.3389/fcimb.2021.754708

PubMed Abstract | CrossRef Full Text | Google Scholar

57. Cheng AP, Cheng MP, Gu W, Sesing Lenz J, Hsu E, Schurr E, et al. Cell-free DNA tissues of origin by methylation profiling reveals significant cell, tissue, and organ-specific injury related to COVID-19 severity. Med (2021) 2:411–422.e5. doi: 10.1016/j.medj.2021.01.001

PubMed Abstract | CrossRef Full Text | Google Scholar

58. Parthasarathy U, Martinelli R, Vollmann EH, Best K, Therien AG. The impact of DAMP-mediated inflammation in severe COVID-19 and related disorders. Biochem Pharmacol (2022) 195:114847. doi: 10.1016/j.bcp.2021.114847

PubMed Abstract | CrossRef Full Text | Google Scholar

59. Heil M, Land WG. Danger signals - damaged-self recognition across the tree of life. Front Plant Sci (2014) 5:578. doi: 10.3389/fpls.2014.00578

PubMed Abstract | CrossRef Full Text | Google Scholar

60. Vénéreau E, Ceriotti C, Bianchi ME. DAMPs from death to new life. Front Immunol (2015) 6:422. doi: 10.3389/fimmu.2015.00422

PubMed Abstract | CrossRef Full Text | Google Scholar

61. Magna M, Pisetsky DS. The alarmin properties of DNA and DNA-associated nuclear proteins. Clin Ther (2016) 38:1029–41. doi: 10.1016/j.clinthera.2016.02.029

PubMed Abstract | CrossRef Full Text | Google Scholar

62. Matzinger P. The danger model: A renewed sense of self. Science (2002) 296:301–5. doi: 10.1126/science.1071059

PubMed Abstract | CrossRef Full Text | Google Scholar

63. Doitsh G, Galloway NLK, Geng X, Yang Z, Monroe KM, Zepeda O, et al. Cell death by pyroptosis drives CD4 T-cell depletion in HIV-1 infection. Nature (2014) 505:509–14. doi: 10.1038/nature12940

PubMed Abstract | CrossRef Full Text | Google Scholar

64. Doitsh G, Greene Warner C. Dissecting how CD4 T cells are lost during HIV infection. Cell Host Microbe (2016) 19:280–91. doi: 10.1016/j.chom.2016.02.012

PubMed Abstract | CrossRef Full Text | Google Scholar

65. Heil M, Brockmeyer NH. Self-DNA sensing fuels HIV-1-associated inflammation. Trends Mol Med (2019) 25:941–54. doi: 10.1016/j.molmed.2019.06.004

PubMed Abstract | CrossRef Full Text | Google Scholar

66. Simmons JD, Lee YL, Mulekar S, Kuck JL, Brevard SB, Gonzalez RP, et al. Elevated levels of plasma mitochondrial DNA DAMPs are linked to clinical outcome in severely injured human subjects. Ann Surg (2013) 258:591–8. doi: 10.1097/SLA.0b013e3182a4ea46

PubMed Abstract | CrossRef Full Text | Google Scholar

67. Aswani A, Manson J, Itagaki K, Chiazza F, Collino M, Wupeng WL, et al. Scavenging circulating mitochondrial DNA as a potential therapeutic option for multiple organ dysfunction in trauma hemorrhage. Front Immunol (2018) 9:891. doi: 10.3389/fimmu.2018.00891

PubMed Abstract | CrossRef Full Text | Google Scholar

68. Stortz JA, Hawkins RB, Holden DC, Raymond SL, Wang Z, Brakenridge SC, et al. Cell-free nuclear, but not mitochondrial, DNA concentrations correlate with the early host inflammatory response after severe trauma. Sci Rep (2019) 9:13648. doi: 10.1038/s41598-019-50044-z

PubMed Abstract | CrossRef Full Text | Google Scholar

69. Zhang Q, Itagaki K, Hauser CJ. Mitochondrial DNA is releasd by shock and activates neutrophils via p38 MAP Kinase. Shock (2010) 34:55–9. doi: 10.1097/SHK.0b013e3181cd8c08

PubMed Abstract | CrossRef Full Text | Google Scholar

70. Trulson I, Stahl J, Margraf S, Scholz M, Hoecherl E, Wolf K, et al. Cell-free DNA in plasma and serum indicates disease severity and prognosis in blunt trauma patients. Diagnostics (2023) 13:1150. doi: 10.3390/diagnostics13061150

PubMed Abstract | CrossRef Full Text | Google Scholar

71. Zhang Q, Raoof M, Chen Y, Sumi Y, Sursal T, Junger W, et al. Circulating mitochondrial DAMPs cause inflammatory responses to injury. Nature (2010) 464:104–8. doi: 10.1038/nature08780

PubMed Abstract | CrossRef Full Text | Google Scholar

72. Nofi CP, Wang P, Aziz M. Chromatin-associated molecular patterns (CAMPs) in sepsis. Cell Death Dis (2022) 13:700. doi: 10.1038/s41419-022-05155-3

PubMed Abstract | CrossRef Full Text | Google Scholar

73. Marty RR, Dirnhofer S, Mauermann N, Schweikert S, Akira S, Hunziker L, et al. MyD88 signaling controls autoimmune myocarditis induction. Circulation (2006) 113:258–65. doi: 10.1161/circulationaha.105.564294

PubMed Abstract | CrossRef Full Text | Google Scholar

74. Bliksoen M, Mariero LH, Torp MK, Baysa A, Ytrehus K, Haugen F, et al. Extracellular mtDNA activates NF-kappa B via toll-like receptor 9 and induces cell death in cardiomyocytes. Basic Res Cardiol (2016) 111:42. doi: 10.1007/s00395-016-0553-6

PubMed Abstract | CrossRef Full Text | Google Scholar

75. Oka T, Hikoso S, Yamaguchi O, Taneike M, Takeda T, Tamai T, et al. Mitochondrial DNA that escapes from autophagy causes inflammation and heart failure. Nature (2012) 485:251–U142. doi: 10.1038/nature10992

PubMed Abstract | CrossRef Full Text | Google Scholar

76. Wu BW, Ni HC, Li J, Zhuang XY, Zhang JJ, Qi ZY, et al. The impact of circulating mitochondrial DNA on cardiomyocyte apoptosis and myocardial injury after TLR4 activation in experimental autoimmune myocarditis. Cell Physiol Biochem (2017) 42:713–28. doi: 10.1159/000477889

PubMed Abstract | CrossRef Full Text | Google Scholar

77. Gu XL, Wu GN, Yao YW, Zeng JL, Shi DH, Lv TF, et al. Intratracheal administration of mitochondrial DNA directly provokes lung inflammation through the TLR9-p38 MAPK pathway. Free Radic Biol Med (2015) 83:149–58. doi: 10.1016/j.freeradbiomed.2015.02.034

PubMed Abstract | CrossRef Full Text | Google Scholar

78. Xia P, Xing X-D, Yang C-X, Liao X-J, Liu F-H, Huang H-H, et al. Activation-induced pyroptosis contributes to the loss of MAIT cells in chronic HIV-1 infected patients. Mil Med Res (2022) 9:24. doi: 10.1186/s40779-022-00384-1

PubMed Abstract | CrossRef Full Text | Google Scholar

79. Gao DX, Li T, Li XD, Chen X, Li QZ, Wight-Carter M, et al. Activation of cyclic GMP-AMP synthase by self-DNA causes autoimmune diseases. Proc Natl Acad Sci USA (2015) 112:E5699–705. doi: 10.1073/pnas.1516465112

PubMed Abstract | CrossRef Full Text | Google Scholar

80. Farrugia M, Baron B. The role of toll-like receptors in autoimmune diseases through failure of the self-recognition mechanism. Int J Inflammation (2017) 2017):8391230. doi: 10.1155/2017/8391230

CrossRef Full Text | Google Scholar

81. Duvvuri B, Lood C. Cell-free DNA as a biomarker in autoimmune rheumatic diseases. Front Immunol (2019) 10:502. doi: 10.3389/fimmu.2019.00502

PubMed Abstract | CrossRef Full Text | Google Scholar

82. Kopfnagel V, Wagenknecht S, Harder J, Hofmann K, Kleine M, Buch A, et al. RNase 7 strongly promotes TLR9-mediated DNA sensing by human plasmacytoid dendritic cells. J Invest Dermatol (2018) 138:872–81. doi: 10.1016/j.jid.2017.09.052

PubMed Abstract | CrossRef Full Text | Google Scholar

83. Bai Y, Tong Y, Liu Y, Hu H. Self-dsDNA in the pathogenesis of systemic lupus erythematosus. Clin Exp Immunol (2018) 191:1–10. doi: 10.1111/cei.13041

PubMed Abstract | CrossRef Full Text | Google Scholar

84. Roh JS, Sohn DH. Damage-associated molecular patterns in inflammatory diseases. Immune Network (2018) 18:e27. doi: 10.4110/in.2018.18.e27

PubMed Abstract | CrossRef Full Text | Google Scholar

85. Shenoy S. Coronavirus (Covid-19) sepsis: revisiting mitochondrial dysfunction in pathogenesis, aging, inflammation, and mortality. Inflammation Res (2020) 69:1077–85. doi: 10.1007/s00011-020-01389-z

CrossRef Full Text | Google Scholar

86. Ehrenfeld M, Tincani A, Andreoli L, Cattalini M, Greenbaum A, Kanduc D, et al. Covid-19 and autoimmunity. Autoimmun Rev (2020) 19:102597–7. doi: 10.1016/j.autrev.2020.102597

PubMed Abstract | CrossRef Full Text | Google Scholar

87. Nasi M, Pecorini S, Gibellini L, Digaetano M, Bonazza A, De Biasi S, et al. (2019)., in: Circulating mitochondrial DNA is higher in acute than in chronic HIV infection and correlates with plasma levels of LPS-binding protein but not of 16S rRNA bacterial DNA, 10th IAS Conference on HIV Science, México City, México, abstract no. MOPEA095.

Google Scholar

88. Pernas B, Rego-Pérez I, Tabernilla A, Balboa V, Relaño S, Grandal M, et al. Plasma mitochondrial DNA levels are inversely associated with HIV-RNA levels and directly with CD4 counts: potential role as a biomarker of HIV replication. J Antimicrob Chemother (2017) 72:3159–62. doi: 10.1093/jac/dkx272

PubMed Abstract | CrossRef Full Text | Google Scholar

89. Arshad O, Gadawska I, Sattha B, Côté HCF, Hsieh AYY. Elevated cell-free mitochondrial DNA in filtered plasma is associated with HIV infection and inflammation. J Acquir Immune Defic Syndr (2018) 78:111–8. doi: 10.1097/QAI.0000000000001650

PubMed Abstract | CrossRef Full Text | Google Scholar

90. Cossarizza A, Pinti M, Nasi M, Gibellini L, Manzini S, Roat E, et al. Increased plasma levels of extracellular mitochondrial DNA during HIV infection: A new role for mitochondrial damage-associated molecular patterns during inflammation. Mitochondrion (2011) 11:750–5. doi: 10.1016/j.mito.2011.06.005

PubMed Abstract | CrossRef Full Text | Google Scholar

91. Muller S, Richalet P, Laurentcrawford A, Barakat S, Riviere Y, Porrot F, et al. Autoantibodies typical of nonorgan-specific autoimmune-diseases in HIV seropositive patients. AIDS (1992) 6:933–42. doi: 10.1097/00002030-199209000-00004

PubMed Abstract | CrossRef Full Text | Google Scholar

92. Dotan A, Muller S, Kanduc D, David P, Halpert G, Shoenfeld Y. The SARS-CoV-2 as an instrumental trigger of autoimmunity. Autoimmun Rev (2021) 20:102792. doi: 10.1016/j.autrev.2021.102792

PubMed Abstract | CrossRef Full Text | Google Scholar

93. De Groot AS. How the SARS vaccine effort can learn from HIV - speeding towards the future, learning from the past. Vaccine (2003) 21:4095–104. doi: 10.1016/s0264-410x(03)00489-4

PubMed Abstract | CrossRef Full Text | Google Scholar

94. Campbell GR, To RK, Hanna J, Spector SA. SARS-CoV-2, SARS-CoV-1, and HIV-1 derived ssRNA sequences activate the NLRP3 inflammasome in human macrophages through a non-classical pathway. iScience (2021) 24:102295. doi: 10.1016/j.isci.2021.102295

PubMed Abstract | CrossRef Full Text | Google Scholar

95. Kuwata T, Nishimura Y, Whitted S, Ourmanov I, Brown CR, Dang Q, et al. Association of progressive CD4+ T Cell decline in SIV infection with the induction of autoreactive antibodies. PloS Pathog (2009) 5:e1000372. doi: 10.1371/journal.ppat.1000372

PubMed Abstract | CrossRef Full Text | Google Scholar

96. Scaradavou A. HIV-related thrombocytopenia. Blood Rev (2002) 16:73–6. doi: 10.1054/blre.2001.0188

PubMed Abstract | CrossRef Full Text | Google Scholar

97. Shi C, Yang L, Braun A, Anders H-J. Extracellular DNA—a danger signal triggering immunothrombosis. Front Immunol (2020) 11:568513. doi: 10.3389/fimmu.2020.568513

PubMed Abstract | CrossRef Full Text | Google Scholar

98. Dominguez A, Gamallo G, Garcia R, Lopezpastor A, Pena JM, Vazquez JJ. Pathophysiology of HIV-related thrombocytopenia - an analysis of 41 patients. J Clin Pathol (1994) 47:999–1003. doi: 10.1136/jcp.47.11.999

PubMed Abstract | CrossRef Full Text | Google Scholar

99. Chetty R. Vasculitides associated with HIV infection. J Clin Pathol (2001) 54:275–8. doi: 10.1136/jcp.54.4.275

PubMed Abstract | CrossRef Full Text | Google Scholar

100. Vega LE, Espinoza LR. Vasculitides in HIV infection. Curr Rheumatol Rep (2020) 22:60. doi: 10.1007/s11926-020-00945-0

PubMed Abstract | CrossRef Full Text | Google Scholar

101. Beschorner WE, Baughman K, Turnicky RP, Hutchins GM, Rowe SA, Kavanaughmchugh AL, et al. HIV-associated myocarditis - pathology and immunopathology. Am J Pathol (1990) 137:1365–71.

PubMed Abstract | Google Scholar

102. Damba JJ, Laskine M, Jin Y, Sinyavskaya L, Durand M. Incidence of autoimmune diseases in people living with HIV compared to a matched population: a cohort study. Clin Rheumatol (2021) 40:2439–45. doi: 10.1007/s10067-020-05500-x

PubMed Abstract | CrossRef Full Text | Google Scholar

103. Trovato M, Ruggeri RM, Sciacchitano S, Vicchio TM, Picerno I, Pellicano G, et al. Serum interleukin-6 levels are increased in HIV-infected patients that develop autoimmune disease during long-term follow-up. Immunobiology (2018) 223:264–8. doi: 10.1016/j.imbio.2017.10.039

PubMed Abstract | CrossRef Full Text | Google Scholar

104. Ramos-Ruperto L, Busca C, Diez-Vidal A, Robles-Marhuenda A, Diaz-Almiron M, Mican R, et al. Prevalence and temporal trends of autoimmune diseases in people living with HIV. AIDS Res Hum Retrovir (2023) 39:130–5. doi: 10.1089/aid.2022.0090

PubMed Abstract | CrossRef Full Text | Google Scholar

105. Virot E, Duclos A, Adelaide L, Miailhes P, Hot A, Ferry T, et al. Autoimmune diseases and HIV infection: A cross-sectional study. Medicine (2017) 96:e5769. doi: 10.1097/md.0000000000005769

PubMed Abstract | CrossRef Full Text | Google Scholar

106. Iordache L, Launay O, Bouchaud O, Jeantils V, Goujard C, Boue F, et al. Autoimmune diseases in HIV-infected patients: 52 cases and literature review. Autoimmun Rev (2014) 13:850–7. doi: 10.1016/j.autrev.2014.04.005

PubMed Abstract | CrossRef Full Text | Google Scholar

107. Jansen K, Haastert B, Michalik C, Guignard A, Esser S, Dupke S, et al. Incidence and risk factors of herpes zoster among HIV-positive patients in the german competence network for HIV/AIDS (KompNet): a cohort study analysis. BMC Infect Dis (2013) 13:372. doi: 10.1186/1471-2334-13-372

PubMed Abstract | CrossRef Full Text | Google Scholar

108. Aceti A, Margarucci LM, Scaramucci E, Orsini M, Salerno G, Di Sante G, et al. Serum S100B protein as a marker of severity in Covid-19 patients. Sci Rep (2020) 10:18665. doi: 10.1038/s41598-020-75618-0

PubMed Abstract | CrossRef Full Text | Google Scholar

109. Andersson U, Ottestad W, Tracey KJ. Extracellular HMGB1: a therapeutic target in severe pulmonary inflammation including COVID-19? Mol Med (2020) 26:42. doi: 10.1186/s10020-020-00172-4

PubMed Abstract | CrossRef Full Text | Google Scholar

110. Chen L, Long X, Xu Q, Tan J, Wang G, Cao Y, et al. Elevated serum levels of S100A8/A9 and HMGB1 at hospital admission are correlated with inferior clinical outcomes in COVID-19 patients. Cell Mol Immunol (2020) 17:992–4. doi: 10.1038/s41423-020-0492-x

PubMed Abstract | CrossRef Full Text | Google Scholar

111. Chen RC, Huang Y, Quan J, Liu JA, Wang HC, Billiar TR, et al. HMGB1 as a potential biomarker and therapeutic target for severe COVID-19. Heliyon (2020) 6:e05672. doi: 10.1016/j.heliyon.2020.e05672

PubMed Abstract | CrossRef Full Text | Google Scholar

112. Berthelot J-M, Lioté F. COVID-19 as a STING disorder with delayed over-secretion of interferon-beta. eBioMedicine (2020) 56:102801. doi: 10.1016/j.ebiom.2020.102801

PubMed Abstract | CrossRef Full Text | Google Scholar

113. Saitoh T, Komano J, Saitoh Y, Misawa T, Takahama M, Kozaki T, et al. Neutrophil Extracellular Traps mediate a host defense response to Human Immunodeficiency Virus-1. Cell Host Microbe (2012) 12:109–16. doi: 10.1016/j.chom.2012.05.015

PubMed Abstract | CrossRef Full Text | Google Scholar

114. Brinkmann V, Reichard U, Goosmann C, Fauler B, Uhlemann Y, Weiss DS, et al. Neutrophil extracellular traps kill bacteria. Science (2004) 303:1532–5. doi: 10.1126/science.1092385

PubMed Abstract | CrossRef Full Text | Google Scholar

115. Hamaguchi S, Hirose T, Akeda Y, Matsumoto N, Irisawa T, Seki M, et al. Identification of neutrophil extracellular traps in the blood of patients with systemic inflammatory response syndrome. J Int Med Res (2013) 41:162–8. doi: 10.1177/0300060513475958

PubMed Abstract | CrossRef Full Text | Google Scholar

116. Earhart AP, Holliday ZM, Hofmann HV, Schrum AG. Consideration of dornase alfa for the treatment of severe COVID-19 acute respiratory distress syndrome. New Microbes New Infect (2020) 35:100689. doi: 10.1016/j.nmni.2020.100689

PubMed Abstract | CrossRef Full Text | Google Scholar

117. Okur HK, Yalcin K, Tastan C, Demir S, Yurtsever B, Karakus GS, et al. Preliminary report of in vitro and in vivo effectiveness of dornase alfa on SARS-CoV-2 infection. New Microbes New Infect (2020) 37:100756. doi: 10.1016/j.nmni.2020.100756

PubMed Abstract | CrossRef Full Text | Google Scholar

118. Weber AG, Chau AS, Egeblad M, Barnes BJ, Janowitz T. Nebulized in-line endotracheal dornase alfa and albuterol administered to mechanically ventilated COVID-19 patients: a case series. Mol Med (2020) 26:91. doi: 10.1186/s10020-020-00215-w

PubMed Abstract | CrossRef Full Text | Google Scholar

119. Park HH, Park W, Lee YY, Kim H, Seo HS, Choi DW, et al. Bioinspired DNase-I-coated melanin-like nanospheres for modulation of infection-associated NETosis dysregulation. Adv Sci (2020) 7:2001940. doi: 10.1002/advs.202001940

CrossRef Full Text | Google Scholar

120. Fisher J, Mohanty T, Karlsson CAQ, Khademi SMH, Malmström E, Frigyesi A, et al. Proteome profiling of recombinant DNase therapy in reducing NETs and aiding recovery in COVID-19 patients. Mol Cell Proteomics (2021) 20:100113. doi: 10.1016/j.mcpro.2021.100113

PubMed Abstract | CrossRef Full Text | Google Scholar

121. Toma A, Darwish C, Taylor M, Harlacher J, Darwish R. The use of Dornase Alfa in the management of COVID-19-associated adult respiratory distress syndrome. Crit Care Res Pract (2021) 2021:8881115. doi: 10.1155/2021/8881115

PubMed Abstract | CrossRef Full Text | Google Scholar

122. Gavriilidis E, Antoniadou C, Chrysanthopoulou A, Ntinopoulou M, Smyrlis A, Fotiadou I, et al. Combined administration of inhaled DNase, baricitinib and tocilizumab as rescue treatment in COVID-19 patients with severe respiratory failure. Clin Immunol (2022) 238:109016. doi: 10.1016/j.clim.2022.109016

PubMed Abstract | CrossRef Full Text | Google Scholar

123. Ablasser A, Chen ZJJ. cGAS in action: Expanding roles in immunity and inflammation. Science (2019) 363:eaat8657. doi: 10.1126/science.aat8657

PubMed Abstract | CrossRef Full Text | Google Scholar

124. Bitzogli K, Jahaj E, Bakasis AD, Kapsogeorgou EK, Goules AV, Stergiou I, et al. Incidence of autoantibodies related to systemic autoimmunity in patients with severe COVID-19 admitted to the intensive care unit. Clin Exp Rheumatol (2023) 41:1024–33. doi: 10.55563/clinexprheumatol/2remcx

PubMed Abstract | CrossRef Full Text | Google Scholar

125. Garmendia JV, García AH, De Sanctis CV, Hajdúch M, De Sanctis JB. Autoimmunity and immunodeficiency in severe SARS-CoV-2 infection and prolonged COVID-19. Curr Issues Mol Biol (2023) 45:33–50. doi: 10.3390/cimb45010003

CrossRef Full Text | Google Scholar

126. Báez-Negrón L, Vilá LM. New-onset Systemic Lupus Erythematosus after mRNA SARS-CoV-2 vaccination. Case Rep Rheumatol (2022) 2022:6436839. doi: 10.1155/2022/6436839

PubMed Abstract | CrossRef Full Text | Google Scholar

127. Fox-Fisher I, Piyanzin S, Briller M, Oiknine-Djian E, Alfi O, Ben-Ami R, et al. B cell-derived cfDNA after primary BNT162b2 mRNA vaccination anticipates memory B cells and SARS-CoV-2 neutralizing antibodies. Med (2022) 3:468. doi: 10.1016/j.medj.2022.05.005

PubMed Abstract | CrossRef Full Text | Google Scholar

128. Kaur I, Zafar S, Capitle E, Khianey R. COVID-19 vaccination as a potential trigger for new-onset Systemic Lupus Erythematosus. Cureus (2022) 14:e21917. doi: 10.7759/cureus.21917

PubMed Abstract | CrossRef Full Text | Google Scholar

129. Sogbe M, Blanco-Di Matteo A, Di Frisco IM, Bastidas JF, Salterain N, Gavira JJ. Systemic lupus erythematosus myocarditis after COVID-19 vaccination. Reumatol Clínica (2023) 19:114–6. doi: 10.1016/j.reuma.2022.06.003

CrossRef Full Text | Google Scholar

130. Kim HJ, Jung M, Lim BJ, Han SH. New-onset class III lupus nephritis with multi-organ involvement after COVID-19 vaccination. Kidney Int (2022) 101:826–8. doi: 10.1016/j.kint.2022.01.013

PubMed Abstract | CrossRef Full Text | Google Scholar

131. Gazitt T, Eviatar T, Shear J, Meidan R, Furer V, Feld J, et al. Development of autoantibodies following BNT162b2 mRNA COVID-19 vaccination and their association with disease flares in adult patients with autoimmune inflammatory rheumatic diseases (AIIRD) and the general population: results of 1-year prospective follow-up study. Vaccines (2023) 11:476. doi: 10.3390/vaccines11020476

PubMed Abstract | CrossRef Full Text | Google Scholar

132. Bril F, Al Diffalha S, Dean M, Fettig DM. Autoimmune hepatitis developing after coronavirus disease 2019 (COVID-19) vaccine: Causality or casualty? J Hepatol (2021) 75:222–4. doi: 10.1016/j.jhep.2021.04.003

PubMed Abstract | CrossRef Full Text | Google Scholar

133. Lee AR, Woo JS, Lee SY, Lee YS, Jung J, Lee CR, et al. SARS-CoV-2 spike protein promotes inflammatory cytokine activation and aggravates rheumatoid arthritis. Cell Communic Signal (2023) 21:44. doi: 10.1186/s12964-023-01044-0

CrossRef Full Text | Google Scholar

134. Yonker LM, Swank Z, Bartsch YC, Burns MD, Kane A, Boribong BP, et al. Circulating spike potein detected in post–COVID-19 mRNA vaccine myocarditis. Circulation (2023) 147:867–76. doi: 10.1161/CIRCULATIONAHA.122.061025

PubMed Abstract | CrossRef Full Text | Google Scholar

135. Wu Zhang X, Leng Yap Y. Structural similarity between HIV-1 gp41 and SARS-CoV S2 proteins suggests an analogous membrane fusion mechanism. J Mol Struct (2004) 677:73–6. doi: 10.1016/j.theochem.2004.02.018

CrossRef Full Text | Google Scholar

136. Storci G, Bonifazi F, Garagnani P, Olivieri F, Bonafè M. The role of extracellular DNA in COVID-19: Clues from inflamm-aging. Ageing Res Rev (2021) 66:101234. doi: 10.1016/j.arr.2020.101234

PubMed Abstract | CrossRef Full Text | Google Scholar

137. Zazzara MB, Bellieni A, Calvani R, Coelho-Junior HJ, Picca A, Marzetti E. Inflammaging at the time of COVID-19. Clin Geriatr Med (2022) 38:473–81. doi: 10.1016/j.cger.2022.03.003

PubMed Abstract | CrossRef Full Text | Google Scholar

138. Picca A, Calvani R, Coelho-Junior H, Marzetti E. Cell death and inflammation: The role of mitochondria in health and disease. Cells (2021) 10:537. doi: 10.3390/cells10030537

PubMed Abstract | CrossRef Full Text | Google Scholar

139. Picca A, Lezza AMS, Leeuwenburgh C, Pesce V, Calvani R, Landi F, et al. Fueling inflamm-aging through mitochondrial dysfunction: mechanisms and molecular targets. Internat J Mol Sci (2017) 18:933. doi: 10.3390/ijms18050933

CrossRef Full Text | Google Scholar

140. Paludan SR, Mogensen TH. Innate immunological pathways in COVID-19 pathogenesis. Sci Immunol (2022) 7:eabm5505. doi: 10.1126/sciimmunol.abm5505

PubMed Abstract | CrossRef Full Text | Google Scholar

141. Mechnikov I. On the present state of the question of immunity in infectious diseases (1908). Available at: https://www.nobelprize.org/prizes/medicine/1908/mechnikov/lecture/ (Accessed Thu. 28 Feb 2019).

Google Scholar

142. O’Neill LAJ. Sensing the dark side of DNA. Science (2013) 339:763–4. doi: 10.1126/science.1234724

PubMed Abstract | CrossRef Full Text | Google Scholar

143. Knight JS, Caricchio R, Casanova J-L, Combes AJ, Diamond B, Fox SE, et al. The intersection of COVID-19 and autoimmunity. J Clin Investig (2021) 131:e154886. doi: 10.1172/JCI154886

PubMed Abstract | CrossRef Full Text | Google Scholar

144. Guo M, Liu X, Chen X, Li Q. Insights into new-onset autoimmune diseases after COVID-19 vaccination. Autoimmun Rev (2023) 22:103340. doi: 10.1016/j.autrev.2023.103340

PubMed Abstract | CrossRef Full Text | Google Scholar

145. de Buhr N, Baumann T, Werlein C, Fingerhut L, Imker R, Meurer M, et al. Insights into immunothrombotic mechanisms in acute stroke due to vaccine-induced immune thrombotic thrombocytopenia. Front Immunol (2022) 13:879157. doi: 10.3389/fimmu.2022.879157

PubMed Abstract | CrossRef Full Text | Google Scholar

146. McGonagle D, De Marco G, Bridgewood C. Mechanisms of immunothrombosis in vaccine-induced thrombotic thrombocytopenia (VITT) compared to natural SARS-CoV-2 infection. J Autoimmun (2021) 121:102662. doi: 10.1016/j.jaut.2021.102662

PubMed Abstract | CrossRef Full Text | Google Scholar

147. Cavalli G, ColaFrancesco S, De Luca G, Rizzo N, Priori R, Conti F, et al. Cutaneous vasculitis following COVID-19 vaccination. Lancet Rheumatol (2021) 3:e743–4. doi: 10.1016/S2665-9913(21)00309-X

PubMed Abstract | CrossRef Full Text | Google Scholar

148. Colia R, Rotondo C, Corrado A, Cantatore FP. Cutaneous vasculitis after severe acute respiratory syndrome coronavirus 2 vaccine. Rheumatol Adv Pract (2021) 5:rkab050. doi: 10.1093/rap/rkab050

PubMed Abstract | CrossRef Full Text | Google Scholar

149. Corrà A, Verdelli A, Mariotti EB, Ruffo di Calabria V, Quintarelli L, Aimo C, et al. Cutaneous vasculitis: Lessons from COVID-19 and COVID-19 vaccination. Front Med (2022) 9:1013846. doi: 10.3389/fmed.2022.1013846

CrossRef Full Text | Google Scholar

150. Maronese CA, Zelin E, Avallone G, Moltrasio C, Romagnuolo M, Ribero S, et al. Cutaneous vasculitis and vasculopathy in the era of COVID-19 pandemic. Front Med (2022) 9:996288. doi: 10.3389/fmed.2022.996288

CrossRef Full Text | Google Scholar

151. Bozkurt B, Kamat I, Hotez PJ. Myocarditis with COVID-19 mRNA vaccines. Circulation (2021) 144:471–84. doi: 10.1161/circulationaha.121.056135

PubMed Abstract | CrossRef Full Text | Google Scholar

152. Li YE, Wang S, Reiter RJ, Ren J. Clinical cardiovascular emergencies and the cellular basis of COVID-19 vaccination: from dream to reality? Int J Infect Dis (2022) 124:1–10. doi: 10.1016/j.ijid.2022.08.026

PubMed Abstract | CrossRef Full Text | Google Scholar

153. Montgomery J, Ryan M, Engler R, Hoffman D, McClenathan B, Collins L, et al. Myocarditis following immunization with mRNA COVID-19 vaccines in members of the US military. JAMA Cardiol (2021) 6:1202–6. doi: 10.1001/jamacardio.2021.2833

PubMed Abstract | CrossRef Full Text | Google Scholar

154. Barda N, Dagan N, Ben-Shlomo Y, Kepten E, Waxman J, Ohana R, et al. Safety of the BNT162b2 mRNA Covid-19 vaccine in a nationwide setting. New Engl J Med (2021) 385:1078–90. doi: 10.1056/NEJMoa2110475

PubMed Abstract | CrossRef Full Text | Google Scholar

155. Oster ME, Shay DK, Su JR, Gee J, Creech CB, Broder KR, et al. Myocarditis cases reported after mRNA-based COVID-19 vaccination in the US from December 2020 to August 2021. JAMA J Am Med Assoc (2022) 327:331–40. doi: 10.1001/jama.2021.24110

CrossRef Full Text | Google Scholar

156. Tailor PD, Feighery AM, El-Sabawi B, Prasad A. Case report: acute myocarditis following the second dose of mRNA-1273 SARS-CoV-2 vaccine. Eur Heart J Case Rep (2021) 5:1–6. doi: 10.1093/ehjcr/ytab319

CrossRef Full Text | Google Scholar

157. Stowe J, Miller E, Andrews N, Whitaker HJ. Risk of myocarditis and pericarditis after a COVID-19 mRNA vaccine booster and after COVID-19 in those with and without prior SARS-CoV-2 infection: A self-controlled case series analysis in England. PloS Med (2023) 20:e1004245. doi: 10.1371/journal.pmed.1004245

PubMed Abstract | CrossRef Full Text | Google Scholar

158. Furer V, Zisman D, Kibari A, Rimar D, Paran Y, Elkayam O. Herpes zoster following BNT162b2 mRNA COVID-19 vaccination in patients with autoimmune inflammatory rheumatic diseases: a case series. Rheumatology (2021) 60:SI90–5. doi: 10.1093/rheumatology/keab345

PubMed Abstract | CrossRef Full Text | Google Scholar

159. Iwanaga J, Fukuoka H, Fukuoka N, Yutori H, Ibaragi S, Tubbs RS. A narrative review and clinical anatomy of herpes zoster infection following COVID-19 vaccination. Clin Anat (2022) 35:45–51. doi: 10.1002/ca.23790

PubMed Abstract | CrossRef Full Text | Google Scholar

160. Triantafyllidis K, Giannos K, Panagiotis M, Kyrtsonis IT, Kechagias KS. Varicella Zoster Virus reactivation following COVID-19 vaccination: a systematic review of case reports. Vaccines (2021) 9:1013. doi: 10.3390/vaccines9091013

PubMed Abstract | CrossRef Full Text | Google Scholar

161. Watad A, De Marco G, Mahajna H, Druyan A, Eltity M, Hijazi N, et al. Immune-mediated disease flares or new-onset disease in 27 subjects following mRNA/DNA SARS-CoV-2 vaccination. Vaccines (2021) 9:435. doi: 10.3390/vaccines9050435

PubMed Abstract | CrossRef Full Text | Google Scholar

162. Chen Y, Xu ZW, Wang P, Li XM, Shuai ZW, Ye DQ, et al. New-onset autoimmune phenomena post-COVID-19 vaccination. Immunology (2022) 165:386–401. doi: 10.1111/imm.13443

PubMed Abstract | CrossRef Full Text | Google Scholar

163. Zheng H, Zhang T, Xu YY, Lu X, Sang XT. Autoimmune hepatitis after COVID-19 vaccination. Front Immunol (2022) 13:1035073. doi: 10.3389/fimmu.2022.1035073

PubMed Abstract | CrossRef Full Text | Google Scholar

164. Kaulen LD, Doubrovinskaia S, Mooshage C, Jordan B, Purrucker J, Haubner C, et al. Neurological autoimmune diseases following vaccinations against SARS-CoV-2: a case series. Eur J Neurol (2022) 29:555–63. doi: 10.1111/ene.15147

PubMed Abstract | CrossRef Full Text | Google Scholar

165. Sotiriou E, Tsentemeidou A, Bakirtzi K, Lallas A, Ioannides D, Vakirlis E. Psoriasis exacerbation after COVID-19 vaccination: a report of 14 cases from a single centre. J Eur Acad Dermatol Venereol (2021) 35:e857–9. doi: 10.1111/jdv.17582

PubMed Abstract | CrossRef Full Text | Google Scholar

166. Munguía-Calzada P, Drake-Monfort M, Armesto S, Reguero-del Cura L, López-Sundh AE, González-López MA. Psoriasis flare after influenza vaccination in Covid-19 era: A report of four cases from a single center. Dermatol Ther (2021) 34:e14684. doi: 10.1111/dth.14684

PubMed Abstract | CrossRef Full Text | Google Scholar

167. Koumaki D, Krueger-Krasagakis S-E, Papadakis M, Katoulis AC, Gkiaouraki I, Zografaki K, et al. Psoriasis flare-up after AZD1222 and BNT162b2 COVID-19 mRNA vaccines: report of twelve cases from a single centre. J Eur Acad Dermatol Venerol (2022) 36:e399–496. doi: 10.1111/jdv.17965

CrossRef Full Text | Google Scholar

168. Huang Y-W, Tsai T-F. Exacerbation of psoriasis following COVID-19 vaccination: report from a single center. Front Med (2021) 8:812010. doi: 10.3389/fmed.2021.812010

CrossRef Full Text | Google Scholar

169. Abdullah L, Awada B, Kurban M, Abbas O. Letter to the editor regarding the article ‘‘Patil S, Patil A. Systemic lupus erythematosus after COVID-19 vaccination: A case report. J Cosmet Dermatol (2021) 20:4076–7. doi: 10.1111/jocd.14572

PubMed Abstract | CrossRef Full Text | Google Scholar

170. Russell RT, Christiaans SC, Nice TR, Banks M, Mortellaro VE, Morgan C, et al. Histone-complexed DNA fragments levels are associated with coagulopathy, endothelial cell damage,and increased mortality after severe pediatric trauma. Shock (2018) 49:44–52. doi: 10.1097/shk.0000000000000902

PubMed Abstract | CrossRef Full Text | Google Scholar

171. Häfner S. SARS attacks! Microbes Infect (2013) 15:85–7. doi: 10.1016/j.micinf.2012.11.011

PubMed Abstract | CrossRef Full Text | Google Scholar

172. van Montfoort N, Olagnier D, Hiscott J. Unmasking immune sensing of retroviruses: Interplay between innate sensors and host effectors. Cytokine Growth Factor Rev (2014) 25:657–68. doi: 10.1016/j.cytogfr.2014.08.006

PubMed Abstract | CrossRef Full Text | Google Scholar

173. Aguirre S, Fernandez-Sesma A. Collateral damage during Dengue Virus infection: making sense of DNA by cGAS. J Virol (2017) 91:e01081–16. doi: 10.1128/JVI.01081-16

PubMed Abstract | CrossRef Full Text | Google Scholar

174. Aguirre S, Luthra P, Sanchez-Aparicio MT, Maestre AM, Patel J, Lamothe F, et al. Dengue virus NS2B protein targets cGAS for degradation and prevents mitochondrial DNA sensing during infection. Nat Microbiol (2017) 2:17037. doi: 10.1038/nmicrobiol.2017.37

PubMed Abstract | CrossRef Full Text | Google Scholar

175. Bagheri-Hosseinabadi Z, Zarandi ER, Mirabzadeh M, Amiri A, Abbasifard M. mRNA expression of toll-like receptors 3, 7, 8, and 9 in the nasopharyngeal epithelial cells of coronavirus disease 2019 patients. BMC Infect Dis (2022) 22:448. doi: 10.1186/s12879-022-07437-9

PubMed Abstract | CrossRef Full Text | Google Scholar

176. Briard B, Place DE, Kanneganti T-D. DNA sensing in the innate immune response. Physiology (2020) 35:112–24. doi: 10.1152/physiol.00022.2019

PubMed Abstract | CrossRef Full Text | Google Scholar

177. You R, He X, Zeng Z, Zhan Y, Xiao Y, Xiao R. Pyroptosis and its role in autoimmune disease: a potential therapeutic target. Front Immunol (2022) 13:841732. doi: 10.3389/fimmu.2022.841732

PubMed Abstract | CrossRef Full Text | Google Scholar

178. Hinz M, Scheidereit C. The IκB kinase complex in NF-κB regulation and beyond. EMBO Rep (2014) 15:46–61. doi: 10.1002/embr.201337983

PubMed Abstract | CrossRef Full Text | Google Scholar

179. Savage C, Lopez-Castejon G, Denes A, Brough D. NLRP3-Inflammasome activating DAMPs stimulate an inflammatory response in glia in the absence of priming which contributes to brain inflammation after injury. Front Immunol (2012) 3:288. doi: 10.3389/fimmu.2012.00288

PubMed Abstract | CrossRef Full Text | Google Scholar

180. Lugrin J, Martinon F. The AIM2 inflammasome: Sensor of pathogens and cellular perturbations. Immunol Rev (2018) 281:99–114. doi: 10.1111/imr.12618

PubMed Abstract | CrossRef Full Text | Google Scholar

181. Uresti-Rivera EE, Garcia-Hernandez MH. Potential role of AIM2 inflammasome in SARS-CoV-2 infection. Scand J Immunol (2023) 97:e13239. doi: 10.1111/sji.13239

CrossRef Full Text | Google Scholar

182. Buchrieser J, Dufloo J, Hubert M, Monel B, Planas D, Rajah MM, et al. Syncytia formation by SARS-CoV-2-infected cells. EMBO J (2020) 39:e106267. doi: 10.15252/embj.2020106267

PubMed Abstract | CrossRef Full Text | Google Scholar

183. Rajah MM, Bernier A, Buchrieser J, Schwartz O. The mechanism and consequences of SARS-CoV-2 spike-mediated fusion and syncytia formation. J Mol Biol (2022) 434:167280. doi: 10.1016/j.jmb.2021.167280

PubMed Abstract | CrossRef Full Text | Google Scholar

184. Chaudhary S, Yadav RP, Kumar S, Yadav SC. Ultrastructural study confirms the formation of single and heterotypic syncytial cells in bronchoalveolar fluids of COVID-19 patients. Virol J (2023) 20:97. doi: 10.1186/s12985-023-02062-7

PubMed Abstract | CrossRef Full Text | Google Scholar

185. Bussani R, Schneider E, Zentilin L, Collesi C, Ali H, Braga L, et al. Persistence of viral RNA, pneumocyte syncytia and thrombosis are hallmarks of advanced COVID-19 pathology. eBioMedicine (2020) 61:103104. doi: 10.1016/j.ebiom.2020.103104

PubMed Abstract | CrossRef Full Text | Google Scholar

186. Rajah MM, Hubert M, Bishop E, Saunders N, Robinot R, Grzelak L, et al. SARS-CoV-2 Alpha, Beta, and Delta variants display enhanced Spike-mediated syncytia formation. EMBO J (2021) 40:e108944. doi: 10.15252/embj.2021108944

PubMed Abstract | CrossRef Full Text | Google Scholar

187. Kirsch-Volders M, Fenech M. Inflammatory cytokine storms severity may be fueled by interactions of micronuclei and RNA viruses such as COVID-19 virus SARS-CoV-2. A hypothesis. Mutat Res-Rev Mutat Res (2021) 788:108395. doi: 10.1016/j.mrrev.2021.108395

PubMed Abstract | CrossRef Full Text | Google Scholar

188. Holliday ZM, Earhart AP, Alnijoumi MM, Krvavac A, Allen LAH, Schrum AG. Non-randomized trial of dornase alfa for acute respiratory distress syndrome secondary to Covid-19. Front Immunol (2021) 12:714833. doi: 10.3389/fimmu.2021.714833

PubMed Abstract | CrossRef Full Text | Google Scholar

189. Liu B, Free DNA. a reason for severe COVID-19 infection? Med Hypotheses (2020) 142:109812. doi: 10.1016/j.mehy.2020.109812

PubMed Abstract | CrossRef Full Text | Google Scholar

190. Gioia U, Tavella S, Martinez-Orellana P, Cicio G, Colliva A, Ceccon M, et al. SARS-CoV-2 infection induces DNA damage, through CHK1 degradation and impaired 53BP1 recruitment, and cellular senescence. Nat Cell Biol (2023) 25:526-27. doi: 10.1038/s41556-023-01096-x

PubMed Abstract | CrossRef Full Text | Google Scholar

191. Xie J, Li Y, Shen X, Goh G, Zhu Y, Cui J, et al. Dampened STING-dependent interferon activation in bats. Cell Host Microbe (2018) 23:297–301.e4. doi: 10.1016/j.chom.2018.01.006

PubMed Abstract | CrossRef Full Text | Google Scholar

192. Moreno Santillán DD, Lama TM, Gutierrez Guerrero YT, Brown AM, Donat P, Zhao H, et al. Large-scale genome sampling reveals unique immunity and metabolic adaptations in bats. Mol Ecol (2021) 30:6449–67. doi: 10.1111/mec.16027

PubMed Abstract | CrossRef Full Text | Google Scholar

193. Ahn M, Anderson DE, Zhang Q, Tan CW, Lim BL, Luko K, et al. Dampened NLRP3-mediated inflammation in bats and implications for a special viral reservoir host. Nat Microbiol (2019) 4:789–99. doi: 10.1038/s41564-019-0371-3

PubMed Abstract | CrossRef Full Text | Google Scholar

194. Silva-Lagos LA, Pillay J, van Meurs M, Smink A, van der Voort PHJ, de Vos P. DAMPening COVID-19 severity by attenuating danger signals. Front Immunol (2021) 12:720192. doi: 10.3389/fimmu.2021.720192

PubMed Abstract | CrossRef Full Text | Google Scholar

195. Choi JJ, Reich CF, Pisetsky DS. Release of DNA from dead and dying lymphocyte and monocyte cell lines in vitro. Scand J Immunol (2004) 60:159–66. doi: 10.1111/j.0300-9475.2004.01470.x

PubMed Abstract | CrossRef Full Text | Google Scholar

196. Pisetsky DS. The translocation of nuclear molecules during inflammation and cell death. Antiox Redox Signal (2014) 20:1117–25. doi: 10.1089/ars.2012.5143

CrossRef Full Text | Google Scholar

197. Yasuhiko H. Cell death and anti-DNA antibodies. In: Tobias MN, editor. Apoptosis and Medicine. Rijeka: IntechOpen (2012). p. 49–66.

Google Scholar

198. Gedefaw L, Ullah S, Lee TMH, Yip SP, Huang CL. Targeting inflammasome activation in COVID-19: delivery of RNA interference-based therapeutic molecules. Biomedicines (2021) 9:28. doi: 10.3390/biomedicines9121823

PubMed Abstract | CrossRef Full Text | Google Scholar

199. Zheng QC, Lin RJ, Chen YC, Lv Q, Zhang J, Zhai JB, et al. SARS-CoV-2 induces “cytokine storm” hyperinflammatory responses in RA patients through pyroptosis. Front Immunol (2022) 13:1058884. doi: 10.3389/fimmu.2022.1058884

PubMed Abstract | CrossRef Full Text | Google Scholar

200. Wang DW, Hu B, Hu C, Zhu FF, Liu X, Zhang J, et al. Clinical characteristics of 138 hospitalized patients with 2019 novel coronavirus-infected pneumonia in Wuhan, China. JAMA-Journal Am Med Assoc (2020) 323:1061–9. doi: 10.1001/jama.2020.1585

CrossRef Full Text | Google Scholar

201. Zuo Y, Yalavarthi S, Shi H, Gockman K, Zuo M, Madison JA, et al. Neutrophil extracellular traps in COVID-19. JCI Insight (2020) 5:138999. doi: 10.1172/jci.insight.138999

PubMed Abstract | CrossRef Full Text | Google Scholar

202. Fan X, Song J-W, Wang S-Y, Cao W-J, Wang X-W, Zhou M-J, et al. Changes of damage associated molecular patterns in COVID-19 patients. J Infect Dis Immun (2021) 1:20–7. doi: 10.1097/01.ID9.0000733572.40970.6c

CrossRef Full Text | Google Scholar

203. Tojo K, Yamamoto N, Tamada N, Mihara T, Abe M, Nishii M, et al. Early alveolar epithelial cell necrosis is a potential driver of COVID-19-induced acute respiratory distress syndrome. iScience (2023) 26:105748. doi: 10.1016/j.isci.2022.105748

PubMed Abstract | CrossRef Full Text | Google Scholar

204. Sivakorn C, Dechsanga J, Jamjumrus L, Boonnak K, Schultz MJ, Dondorp AM, et al. High Mobility Group Box 1 and Interleukin 6 at intensive care unit admission as biomarkers in critically ill COVID-19 patients. Am J Trop Med Hyg (2021) 105:73–80. doi: 10.4269/ajtmh.21-0165

PubMed Abstract | CrossRef Full Text | Google Scholar

205. Petrarca L, Manganelli V, Nenna R, Frassanito A, Ben David S, Mancino E, et al. HMGB1 in pediatric COVID-19 infection and MIS-C: A pilot study. Front Pediatr (2022) 10:868269. doi: 10.3389/fped.2022.868269

PubMed Abstract | CrossRef Full Text | Google Scholar

206. Wulandari S, Hartono, Wibawa T. The role of HMGB1 in COVID-19-induced cytokine storm and its potential therapeutic targets: A review. Immunology (2023) 169:117-131. doi: 10.1111/imm.13623

PubMed Abstract | CrossRef Full Text | Google Scholar

207. Mete E, Sabirli R, Goren T, Turkcuer I, Kurt Ö, Koseler A. Association between S100b levels and COVID-19 pneumonia: a case control study. Vivo (2021) 35:2923–8. doi: 10.21873/invivo.12583

CrossRef Full Text | Google Scholar

208. Singh P, Ali SA. Multifunctional role of S100 protein family in the immune system: an update. Cells (2022) 11:2274. doi: 10.3390/cells11152274

PubMed Abstract | CrossRef Full Text | Google Scholar

209. Guo Q, Zhao Y, Li J, Liu J, Yang X, Guo X, et al. Induction of alarmin S100A8/A9 mediates activation of aberrant neutrophils in the pathogenesis of COVID-19. Cell Host Microbe (2021) 29:222–235.e4. doi: 10.1016/j.chom.2020.12.016

PubMed Abstract | CrossRef Full Text | Google Scholar

210. Li W, Yang S, Xu P, Zhang D, Tong Y, Chen L, et al. SARS-CoV-2 RNA elements share human sequence identity and upregulate hyaluronan via NamiRNA-enhancer network. eBioMedicine (2022) 76:103861. doi: 10.1016/j.ebiom.2022.103861

PubMed Abstract | CrossRef Full Text | Google Scholar

211. da Silva GB, Manica D, da Silva AP, Kosvoski GC, Hanauer M, Assmann CE, et al. High levels of extracellular ATP lead to different inflammatory responses in COVID-19 patients according to the severity. J Mol Med (2022) 100:645–63. doi: 10.1007/s00109-022-02185-4

PubMed Abstract | CrossRef Full Text | Google Scholar

212. Russo C, Raiden S, Algieri S, De Carli N, Davenport C, Sarli M, et al. Extracellular ATP and imbalance of CD4+ T cell compartment in pediatric COVID-19. Front Cell Infect Microbiol (2022) 12:893044. doi: 10.3389/fcimb.2022.893044

PubMed Abstract | CrossRef Full Text | Google Scholar

213. Duan ZL, Zhang J, Chen X, Liu M, Zhao HW, Jin L, et al. Role of LL-37 in thrombotic complications in patients with COVID-19. Cell Mol Life Sci (2022) 79:309. doi: 10.1007/s00018-022-04309-y

PubMed Abstract | CrossRef Full Text | Google Scholar

214. Tran HTT, Peterburs P, Seibel J, Abramov-Sommariva D, Lamy E. In vitro screening of herbal medicinal products for their supportive curing potential in the context of SARS-CoV-2. eCAM (2022) 2022:8038195. doi: 10.1155/2022/8038195

PubMed Abstract | CrossRef Full Text | Google Scholar

215. Huckriede J, Anderberg SB, Morales A, de Vries F, Hultstrom M, Bergqvist A, et al. Evolution of NETosis markers and DAMPs have prognostic value in critically ill COVID-19 patients. Sci Rep (2021) 11:15701. doi: 10.1038/s41598-021-95209-x

PubMed Abstract | CrossRef Full Text | Google Scholar

216. Shaw RJ, Abrams ST, Austin J, Taylor JM, Lane S, Dutt T, et al. Circulating histones play a central role in COVID-19-associated coagulopathy and mortality. Haematologica (2021) 106:2493–8. doi: 10.3324/haematol.2021.278492

PubMed Abstract | CrossRef Full Text | Google Scholar

217. Shaw RJ, Austin J, Taylor J, Dutt T, Wang GZ, Abrams ST, et al. Circulating histone levels correlate with the severity of COVID-19 and the extent of coagulation activation and inflammation. Blood (2020) pp:19. doi: 10.1182/blood-2020-142344

CrossRef Full Text | Google Scholar

218. de Vries F, Huckriede J, Wichapong K, Reutelingsperger C, Nicolaes GAF. The role of extracellular histones in COVID-19. J Internal Med (2023) 293:275–92. doi: 10.1111/joim.13585

PubMed Abstract | CrossRef Full Text | Google Scholar

219. Bouchard BA, Colovos C, Lawson MA, Osborn ZT, Sackheim AM, Mould KJ, et al. Increased histone-DNA complexes and endothelial-dependent thrombin generation in severe COVID-19. Vasc Pharmacol (2022) 142:106950. doi: 10.1016/j.vph.2021.106950

CrossRef Full Text | Google Scholar

220. Belchamber KBR, Thein OS, Hazeldine J, Grudzinska FS, Faniyi AA, Hughes MJ, et al. Dysregulated neutrophil phenotype and function in hospitalised non-ICU COVID-19 pneumonia. Cells (2022) 11:2901. doi: 10.3390/cells11182901

PubMed Abstract | CrossRef Full Text | Google Scholar

221. Aymonnier K, Ng J, Fredenburgh LE, Zambrano-Vera K, Munzer P, Gutch S, et al. Inflammasome activation in neutrophils of patients with severe COVID-19. Blood Adv (2022) 6:2001–13. doi: 10.1182/bloodadvances.2021005949

PubMed Abstract | CrossRef Full Text | Google Scholar

222. Lee YY, Park HH, Park W, Kim H, Jang JG, Hong KS, et al. Long-acting nanoparticulate DNase-1 for effective suppression of SARS-CoV-2-mediated neutrophil activities and cytokine storm. Biomaterials (2021) 267:120389. doi: 10.1016/j.biomaterials.2020.120389

PubMed Abstract | CrossRef Full Text | Google Scholar

223. Matzinger P. Tolerance, danger, and the extended family. Annu Rev Immunol (1994) 12:991–1045. doi: 10.1146/annurev.iy.12.040194.005015

PubMed Abstract | CrossRef Full Text | Google Scholar

224. Picca A, Guerra F, Calvani R, Coelho-Júnior HJ, Landi F, Bernabei R, et al. Extracellular vesicles and damage-associated molecular patterns: a pandora’s box in health and disease. Front Immunol (2020) 11:601740. doi: 10.3389/fimmu.2020.601740

PubMed Abstract | CrossRef Full Text | Google Scholar

225. Land WG. Damage-Associated Molecular Patterns in Human Diseases. Heidelberg, New York, Tokyo: Springer (2018).

Google Scholar

226. Shao Y, Saredy J, Xu KM, Sun Y, Saaoud F, Drummer C, et al. Endothelial immunity trained by coronavirus infections, DAMP stimulations and regulated by anti-oxidant NRF2 may contribute to inflammations, myelopoiesis, COVID-19 cytokine storms and thromboembolism. Front Immunol (2021) 12:653110. doi: 10.3389/fimmu.2021.653110

PubMed Abstract | CrossRef Full Text | Google Scholar

227. Gupta GS. The lactate and the lactate dehydrogenase in inflammatory diseases and major risk factors in COVID-19 patients. Inflammation (2022) 45:2091–123. doi: 10.1007/s10753-022-01680-7

PubMed Abstract | CrossRef Full Text | Google Scholar

228. Toldo S, Bussani R, Nuzzi V, Bonaventura A, Mauro AG, Cannatà A, et al. Inflammasome formation in the lungs of patients with fatal COVID-19. Inflammation Res (2021) 70:7–10. doi: 10.1007/s00011-020-01413-2

CrossRef Full Text | Google Scholar

229. Theobald SJ, Simonis A, Georgomanolis T, Kreer C, Zehner M, Eisfeld HS, et al. Long-lived macrophage reprogramming drives spike protein-mediated inflammasome activation in COVID-19. EMBO Mol Med (2021) 13:e14150. doi: 10.15252/emmm.202114150

PubMed Abstract | CrossRef Full Text | Google Scholar

230. van den Berg DF, te Velde AA. Severe COVID-19: NLRP3 inflammasome dysregulated. Front Immunol (2020) 11:1580. doi: 10.3389/fimmu.2020.01580

PubMed Abstract | CrossRef Full Text | Google Scholar

231. Root-Bernstein R. From co-infections to autoimmune disease via hyperactivated innate immunity: COVID-19 autoimmune coagulopathies, autoimmune myocarditis and multisystem inflammatory syndrome in children. Internat J Mol Sci (2023) 24:3001. doi: 10.3390/ijms24033001

CrossRef Full Text | Google Scholar

232. Sur S, Steele R, Isbell TS, Ray R, Ray RB. Circulatory exosomes from COVID-19 patients trigger NLRP3 inflammasome in endothelial cells. mBIO (2022) 13:00951–22. doi: 10.1128/mbio.00951-22

CrossRef Full Text | Google Scholar

233. Tong X, Ping H, Gong X, Zhang K, Chen Z, Cai C, et al. Pyroptosis in the lung and spleen of patients died from COVID-19. Eur J Inflammation (2022) 20:1–16. doi: 10.1177/1721727x221140661

CrossRef Full Text | Google Scholar

234. Lara PC, Macias-Verde D, Burgos-Burgos J. Age-induced NLRP3 inflammasome over-activation increases lethality of SARS-CoV-2 pneumonia in elderly patients. Aging Dis (2020) 11:756–62. doi: 10.14336/ad.2020.0601

PubMed Abstract | CrossRef Full Text | Google Scholar

235. Zeng JX, Xie XC, Feng XL, Xu L, Han JB, Yu DD, et al. Specific inhibition of the NLRP3 inflammasome suppresses immune overactivation and alleviates COVID-19 like pathology in mice. eBioMedicine (2022) 75:103803. doi: 10.1016/j.ebiom.2021.103803

PubMed Abstract | CrossRef Full Text | Google Scholar

236. Pan P, Shen M, Yu Z, Ge W, Chen K, Tian M, et al. SARS-CoV-2 N protein promotes NLRP3 inflammasome activation to induce hyperinflammation. Nat Comm (2021) 12:4664. doi: 10.1038/s41467-021-25015-6

CrossRef Full Text | Google Scholar

237. Zhu ZJ, Shi JY, Li L, Wang JL, Zhao YF, Ma HB. Therapy targets SARS-CoV-2 infection-induced cell death. Front Immunol (2022) 13:870216. doi: 10.3389/fimmu.2022.870216

PubMed Abstract | CrossRef Full Text | Google Scholar

238. Hancock REW, Haney EF, Gill EE. The immunology of host defence peptides: beyond antimicrobial activity. Nat Rev Immunol (2016) 16:321–34. doi: 10.1038/nri.2016.29

PubMed Abstract | CrossRef Full Text | Google Scholar

239. Chamilos G, Gregorio J, Meller S, Lande R, Kontoyiannis DP, Modlin RL, et al. Cytosolic sensing of extracellular self-DNA transported into monocytes by the antimicrobial peptide LL37. Blood (2012) 120:3699–707. doi: 10.1182/blood-2012-01-401364

PubMed Abstract | CrossRef Full Text | Google Scholar

240. Lande R, Gregorio J, Facchinetti V, Chatterjee B, Wang Y-H, Homey B, et al. Plasmacytoid dendritic cells sense self-DNA coupled with antimicrobial peptide. Nature (2007) 449:564–9. doi: 10.1038/nature06116

PubMed Abstract | CrossRef Full Text | Google Scholar

241. Tian J, Avalos AM, Mao SY, Chen B, Senthil K, Wu H, et al. Toll-like receptor 9-dependent activation by DNA-containing immune complexes is mediated by HMGB1 and RAGE. Nat Immunol (2007) 8:487–96. doi: 10.1038/ni1457

PubMed Abstract | CrossRef Full Text | Google Scholar

242. Ondracek AS, Lang IM. Neutrophil extracellular traps as prognostic markers in COVID-19. ATVB (2021) 41:995–8. doi: 10.1161/ATVBAHA.120.315633

CrossRef Full Text | Google Scholar

243. He Y, Sawalha AH. Drug-induced lupus erythematosus: an update on drugs and mechanisms. Curr Opin Rheumatol (2018) 30:490–7. doi: 10.1097/bor.0000000000000522

PubMed Abstract | CrossRef Full Text | Google Scholar

244. Allam R, Kumar SR, Darisipudi M, Anders H-J. Extracellular histones in tissue injury and inflammation. J Mol Med (2014) 92:465–72. doi: 10.1007/s00109-014-1148-z

PubMed Abstract | CrossRef Full Text | Google Scholar

245. Ligi D, Lo Sasso B, Della Franca C, Giglio RV, Agnello L, Ciaccio M, et al. Monocyte distribution width alterations and cytokine storm are modulated by circulating histones. Clin Chem Lab Med (2023) 61:1525-1535. doi: 10.1515/cclm-2023-0093

CrossRef Full Text | Google Scholar

246. Kandhaya-Pillai R, Yang XM, Tchkonia T, Martin GM, Kirkland JL, Oshima J. TNF-α/IFN-γ synergy amplifies senescence-associated inflammation and SARS-CoV-2 receptor expression via hyper-activated JAK/STAT1. Aging Cell (2022) 21:e13646. doi: 10.1111/acel.13646

PubMed Abstract | CrossRef Full Text | Google Scholar

247. Liu L, Yang M, Kang R, Dai Y, Yu Y, Gao F, et al. HMGB1–DNA complex-induced autophagy limits AIM2 inflammasome activation through RAGE. Biochem Biophys Res Comm (2014) 450:851–6. doi: 10.1016/j.bbrc.2014.06.074

PubMed Abstract | CrossRef Full Text | Google Scholar

248. Pietrobon AJ, Andrejew R, Custodio RWA, Oliveira LD, Scholl JN, Teixeira FME, et al. Dysfunctional purinergic signaling correlates with disease severity in COVID-19 patients. Front Immunol (2022) 13:1012027. doi: 10.3389/fimmu.2022.1012027

PubMed Abstract | CrossRef Full Text | Google Scholar

249. Luu R, Valdebenito S, Scemes E, Cibelli A, Spray DC, Rovegno M, et al. Pannexin-1 channel opening is critical for COVID-19 pathogenesis. iScience (2021) 24:103478. doi: 10.1016/j.isci.2021.103478

PubMed Abstract | CrossRef Full Text | Google Scholar

250. Choi CH, Spooner R, DeGuzman J, Koutouzis T, Ojcius DM, Yilmaz Ö. Porphyromonas gingivalis-nucleoside-diphosphate-kinase inhibits ATP-induced reactive-oxygen-species via P2X7 receptor/NADPH-oxidase signalling and contributes to persistence. Cell Microbiol (2013) 15:961–76. doi: 10.1111/cmi.12089

PubMed Abstract | CrossRef Full Text | Google Scholar

251. Rodriguez NR, Fortune T, Vuong T, Swartz TH. The role of extracellular ATP and P2X receptors in the pathogenesis of HIV-1. Curr Opin Pharmacol (2023) 69:102358. doi: 10.1016/j.coph.2023.102358

PubMed Abstract | CrossRef Full Text | Google Scholar

252. Inoue K, Ishizawa M, Kubota T. Monoclonal anti-dsDNA antibody 2C10 escorts DNA to intracellular DNA sensors in normal mononuclear cells and stimulates secretion of multiple cytokines implicated in lupus pathogenesis. Clin Exp Immunol (2019) 199:150–62. doi: 10.1111/cei.13382

PubMed Abstract | CrossRef Full Text | Google Scholar

253. Olson LB, Hunter NI, Rempel RE, Sullenger BA. Targeting DAMPs with nucleic acid scavengers to treat lupus. Transl Res (2022) 245:30–40. doi: 10.1016/j.trsl.2022.02.007

PubMed Abstract | CrossRef Full Text | Google Scholar

254. Shin MS, Kang Y, Lee N, Kim S, Kang KS, Lazova R, et al. Self dsDNA induces IL-1β production from human monocytes by activating NLRP3 inflammasome in the presence of anti-dsDNA antibodies (P4083). J Immunol (2013) 190:1407–15. doi: 10.4049/jimmunol.1201195

PubMed Abstract | CrossRef Full Text | Google Scholar

255. Chang SE, Feng A, Meng W, Apostolidis SA, Mack E, Artandi M, et al. New-onset IgG autoantibodies in hospitalized patients with COVID-19. Nat Comm (2021) 12:5417. doi: 10.1038/s41467-021-25509-3

CrossRef Full Text | Google Scholar

256. Wang EY, Mao T, Klein J, Dai Y, Huck JD, Jaycox JR, et al. Diverse functional autoantibodies in patients with COVID-19. Nature (2021) 595:283–8. doi: 10.1038/s41586-021-03631-y

PubMed Abstract | CrossRef Full Text | Google Scholar

257. Lerma LA, Chaudhary A, Bryan A, Morishima C, Wener MH, Fink SL. Prevalence of autoantibody responses in acute coronavirus disease 2019 (COVID-19). J Transl Autoimmun (2020) 3:100073. doi: 10.1016/j.jtauto.2020.100073

PubMed Abstract | CrossRef Full Text | Google Scholar

258. Gomes C, Zuniga M, Crotty KA, Qian K, Tovar NC, Lin LH, et al. Autoimmune anti-DNA and anti-phosphatidylserine antibodies predict development of severe COVID-19. Life Sci Alliance (2021) 4:e202101180. doi: 10.26508/lsa.202101180

PubMed Abstract | CrossRef Full Text | Google Scholar

259. Mantovani Cardoso E, Hundal J, Feterman D, Magaldi J. Concomitant new diagnosis of systemic lupus erythematosus and COVID-19 with possible antiphospholipid syndrome. Just a coincidence? A case report and review of intertwining pathophysiology. Clin Rheumatol (2020) 39:2811–5. doi: 10.1007/s10067-020-05310-1

PubMed Abstract | CrossRef Full Text | Google Scholar

260. Assar S, Pournazari M, Soufivand P, Mohamadzadeh D. Systemic lupus erythematosus after coronavirus disease-2019 (COVID-19) infection: Case-based review. Egyptian Rheumatol (2022) 44:145–9. doi: 10.1016/j.ejr.2021.08.013

CrossRef Full Text | Google Scholar

261. Jara LJ, Vera-Lastra O, Mahroum N, Pineda C, Shoenfeld Y. Autoimmune post-COVID vaccine syndromes: does the spectrum of autoimmune/inflammatory syndrome expand? Clin Rheumatol (2022) 41:1603–9. doi: 10.1007/s10067-022-06149-4

PubMed Abstract | CrossRef Full Text | Google Scholar

262. Jessop F, Schwarz B, Scott D, Roberts LM, Bohrnsen E, Hoidal JR, et al. Impairing RAGE signaling promotes survival and limits disease pathogenesis following SARS-CoV-2 infection in mice. JCI Insight (2022) 7:e155896. doi: 10.1172/jci.insight.155896

PubMed Abstract | CrossRef Full Text | Google Scholar

263. Passos FRS, Heimfarth L, Monteiro BS, Corrêa CB, de Moura TR, Araújo AAD, et al. Oxidative stress and inflammatory markers in patients with COVID-19: Potential role of RAGE, HMGB1, GFAP and COX-2 in disease severity. Int Immunopharmacol (2022) 104:108502. doi: 10.1016/j.intimp.2021.108502

PubMed Abstract | CrossRef Full Text | Google Scholar

264. Waraich RS, Sohail FA, Khan G, Durr ESS, Khan B, Rafi S, et al. Enhanced expression of RAGE AXIS is associated with severity of COVID-19 in patients with comorbidities. Metab Syndr Relat Disord (2023) 21:141–7. doi: 10.1089/met.2022.0089

PubMed Abstract | CrossRef Full Text | Google Scholar

265. Park J, Foox J, Hether T, Danko DC, Warren S, Kim Y, et al. System-wide transcriptome damage and tissue identity loss in COVID-19 patients. Cell Rep Med (2022) 3:100522. doi: 10.1016/j.xcrm.2022.100522

PubMed Abstract | CrossRef Full Text | Google Scholar

266. Zhang L, Wei X, Wang Z, Liu P, Hou Y, Xu Y, et al. NF-κB activation enhances STING signaling by altering microtubule-mediated STING trafficking. Cell Rep (2023) 42:112185. doi: 10.1016/j.celrep.2023.112185

PubMed Abstract | CrossRef Full Text | Google Scholar

267. Polack FP, Thomas SJ, Kitchin N, Absalon J, Gurtman A, Lockhart S, et al. Safety and efficacy of the BNT162b2 mRNA covid-19 vaccine. New Engl J Med (2020) 383:2603–15. doi: 10.1056/NEJMoa2034577

PubMed Abstract | CrossRef Full Text | Google Scholar

268. Baden LR, El Sahly HM, Essink B, Kotloff K, Frey S, Novak R, et al. Efficacy and safety of the mRNA-1273 SARS-CoV-2 vaccine. New Engl J Med (2021) 384:403–16. doi: 10.1056/NEJMoa2035389

PubMed Abstract | CrossRef Full Text | Google Scholar

269. Cattin-Ortola JM, Welch LG, Maslen SL, Papa G, James LC, Munro S. Sequences in the cytoplasmic tail of SARS-CoV-2 Spike facilitate expression at the cell surface and syncytia formation. Nat Comm (2021) 12:5333. doi: 10.1038/s41467-021-25589-1

CrossRef Full Text | Google Scholar

270. Lan J, Ge JW, Yu JF, Shan SS, Zhou H, Fan SL, et al. Structure of the SARS-CoV-2 spike receptor-binding domain bound to the ACE2 receptor. Nature (2020) 581:215. doi: 10.1038/s41586-020-2180-5

PubMed Abstract | CrossRef Full Text | Google Scholar

271. Fertig TE, Chitoiu L, Marta DS, Ionescu VS, Cismasiu VB, Radu E, et al. Vaccine mRNA can be detected in blood at 15 days post-vaccination. Biomedicines (2022) 10:10071538. doi: 10.3390/biomedicines10071538

CrossRef Full Text | Google Scholar

272. Samaniego Castruita JAS, Schneider UV, Mollerup S, Leineweber TD, Weis N, Bukh J, et al. SARS-CoV-2 spike mRNA vaccine sequences circulate in blood up to 28 days after COVID-19 vaccination. Apmis (2023) 131:128–32. doi: 10.1111/apm.13294

PubMed Abstract | CrossRef Full Text | Google Scholar

273. Röltgen K, Nielsen SCA, Silva O, Younes SF, Zaslavsky M, Costales C, et al. Immune imprinting, breadth of variant recognition, and germinal center response in human SARS-CoV-2 infection and vaccination. Cell (2022) 185:1025–1040.e14. doi: 10.1016/j.cell.2022.01.018

PubMed Abstract | CrossRef Full Text | Google Scholar

274. Morz M. A case report: Multifocal necrotizing encephalitis and myocarditis after BNT162b2 mRNA vaccination against COVID-19. Vaccines (2022) 10:1651. doi: 10.3390/vaccines10101651

PubMed Abstract | CrossRef Full Text | Google Scholar

275. Ogata AF, Cheng C-A, Desjardins M, Senussi Y, Sherman AC, Powell M, et al. Circulating Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) vaccine antigen detected in the plasma of mRNA-1273 vaccine recipients. Clin Infect Dis (2021) 74:715–8. doi: 10.1093/cid/ciab465

CrossRef Full Text | Google Scholar

276. Cosentino M, Marino F. The spike hypothesis in vaccine-induced adverse effects: questions and answers. Trends Mol Med (2022) 28:797–9. doi: 10.1016/j.molmed.2022.07.009

PubMed Abstract | CrossRef Full Text | Google Scholar

277. Jiang H, Mei Y-F. SARS–CoV–2 spike impairs DNA damage repair and inhibits V(D)J recombination. Vitro. Viruses (2021) 13:2056. doi: 10.3390/v13102056

CrossRef Full Text | Google Scholar

278. Lowe D. Coronavirus vaccines and cancer, in: The pipeline (2021). Science Blog (Accessed 19 Nov 2021).

Google Scholar

279. Khan S, Shafiei MS, Longoria C, Schoggins JW, Savani RC, Zaki H. SARS-CoV-2 spike protein induces inflammation via TLR2-dependent activation of the NF-κB pathway. eLife (2021) 10:e68563. doi: 10.7554/eLife.68563

PubMed Abstract | CrossRef Full Text | Google Scholar

280. Ntouros PA, Kravvariti E, Vlachogiannis NI, Pappa M, Trougakos IP, Terpos E, et al. Oxidative stress and endogenous DNA damage in blood mononuclear cells may predict anti-SARS-CoV-2 antibody titers after vaccination in older adults. Biochim Biophys Acta Mol Basis Dis (2022) 1868:166393. doi: 10.1016/j.bbadis.2022.166393

PubMed Abstract | CrossRef Full Text | Google Scholar

281. Gonçalves S, Luz T, Silva AM, de Souza SS, Montalvão MF, Guimarães ATB, et al. Can spike fragments of SARS-CoV-2 induce genomic instability and DNA damage in the guppy, Poecilia reticulate? An unexpected effect of the COVID-19 pandemic. Sci Total Environ (2022) 825:153988. doi: 10.1016/j.scitotenv.2022.153988

PubMed Abstract | CrossRef Full Text | Google Scholar

282. Seneff S, Nigh G, Kyriakopoulos AM, McCullough PA. Innate immune suppression by SARS-CoV-2 mRNA vaccinations: The role of G-quadruplexes, exosomes, and MicroRNAs. Food Chem Toxicol (2022) 164:113008. doi: 10.1016/j.fct.2022.113008

PubMed Abstract | CrossRef Full Text | Google Scholar

283. Kankaya S, Yavuz F, Tari A, Aygun AB, Gunes EG, Kanat BB, et al. Glutathione-related antioxidant defence, DNA damage, and DNA repair in patients suffering from post-COVID conditions. Mutagenesis (2023) 38:216–226. doi: 10.1093/mutage/gead021

PubMed Abstract | CrossRef Full Text | Google Scholar

284. Victor J, Deutsch J, Whitaker A, Lamkin EN, March A, Zhou P, et al. SARS-CoV-2 triggers DNA damage response in Vero E6 cells. Biochem Biophys Res Comm (2021) 579:141–5. doi: 10.1016/j.bbrc.2021.09.024

PubMed Abstract | CrossRef Full Text | Google Scholar

285. Evangelou K, Veroutis D, Paschalaki K, Foukas PG, Lagopati N, Dimitriou M, et al. Pulmonary infection by SARS-CoV-2 induces senescence accompanied by an inflammatory phenotype in severe COVID-19: possible implications for viral mutagenesis. Eur Resp J (2022) 60:2102951. doi: 10.1183/13993003.02951-2021

CrossRef Full Text | Google Scholar

286. Basaran MM, Hazar M, Aydın M, Uzuğ G, Özdoğan İ, Pala E, et al. Effects of COVID-19 disease on DNA damage, oxidative stress and immune responses. Toxics (2023) 11:386. doi: 10.3390/toxics11040386

PubMed Abstract | CrossRef Full Text | Google Scholar

287. Mihaljevic O, Zivancevic-Simonovic S, Cupurdija V, Marinkovic M, Tubic Vukajlovic J, Markovic A, et al. DNA damage in peripheral blood lymphocytes of severely ill COVID-19 patients in relation to inflammatory markers and parameters of hemostasis. Mutagenesis (2022) 37:203–12. doi: 10.1093/mutage/geac011

PubMed Abstract | CrossRef Full Text | Google Scholar

288. Kulasinghe A, Liu N, Tan CW, Monkman J, Sinclair JE, Bhuva DD, et al. Transcriptomic profiling of cardiac tissues from SARS-CoV-2 patients identifies DNA damage. Immunology (2023) 168:403–19. doi: 10.1111/imm.13577

PubMed Abstract | CrossRef Full Text | Google Scholar

289. Hwang N, Huh Y, Bu S, Seo KJ, Kwon SH, Kim J-W, et al. Single-cell sequencing of PBMC characterizes the altered transcriptomic landscape of classical monocytes in BNT162b2-induced myocarditis. Front Immunol (2022) 13:979188. doi: 10.3389/fimmu.2022.979188

PubMed Abstract | CrossRef Full Text | Google Scholar

290. Sepe S, Rossiello F, Cancila V, Iannelli F, Matti V, Cicio G, et al. DNA damage response at telomeres boosts the transcription of SARS-CoV-2 receptor ACE2 during aging. EMBO Rep (2022) 23:e53658. doi: 10.15252/embr.202153658

PubMed Abstract | CrossRef Full Text | Google Scholar

291. Jin R, Niu C, Wu FY, Zhou SX, Han T, Zhang Z, et al. DNA damage contributes to age-associated differences in SARS-CoV-2 infection. Aging Cell (2022) 21:13729. doi: 10.1111/acel.13729

CrossRef Full Text | Google Scholar

292. Rivière Y, Blank V, Kourilsky P, Israël A. Processing of the precursor of NF-κB by the HIV-1 protease during acute infection. Nature (1991) 350:625–6. doi: 10.1038/350625a0

PubMed Abstract | CrossRef Full Text | Google Scholar

293. Su C-M, Wang L, Yoo D. Activation of NF-κB and induction of proinflammatory cytokine expressions mediated by ORF7a protein of SARS-CoV-2. Sci Rep (2021) 11:13464. doi: 10.1038/s41598-021-92941-2

PubMed Abstract | CrossRef Full Text | Google Scholar

294. Fregoso OI, Emerman M. Activation of the DNA damage response is a conserved function of HIV-1 and HIV-2 Vpr That is independent of SLX4 recruitment. mBIO (2016) 7:e01433–16. doi: 10.1128/mBio.01433-16

PubMed Abstract | CrossRef Full Text | Google Scholar

295. Milani D, Caruso L, Zauli E, Al Owaifeer AM, Secchiero P, Zauli G, et al. p53/NF-kB balance in SARS-CoV-2 infection: From OMICs, genomics and pharmacogenomics insights to tailored therapeutic perspectives (COVIDomics). Front Pharmacol (2022) 13:871583. doi: 10.3389/fphar.2022.871583

PubMed Abstract | CrossRef Full Text | Google Scholar

296. Li G, Liang X, Lotze M. HMGB1: the central cytokine for all lymphoid cells. Front Immunol (2013) 4:68. doi: 10.3389/fimmu.2013.00068

PubMed Abstract | CrossRef Full Text | Google Scholar

297. Bando SY, Bertonha FB, Vieira SE, de Oliveira DBL, Chalup VN, Durigon EL, et al. Blood leukocyte transcriptional modules and differentially expressed genes associated with disease severity and age in COVID-19 patients. Sci Rep (2023) 13:898. doi: 10.1038/s41598-023-28227-6

PubMed Abstract | CrossRef Full Text | Google Scholar

298. Garcia G, Sharma A, Ramaiah A, Sen C, Purkayastha A, Kohn DB, et al. Antiviral drug screen identifies DNA-damage response inhibitor as potent blocker of SARS-CoV-2 replication. Cell Rep (2021) 35:108940. doi: 10.1016/j.celrep.2021.108940

PubMed Abstract | CrossRef Full Text | Google Scholar

299. Song YT, Yao HP, Wu NP, Xu JL, Zhang ZY, Peng C, et al. In situ architecture and membrane fusion of SARS-CoV-2 Delta variant. Proc Natl Acad Sci U.S.A. (2023) 120:e2213332120. doi: 10.1073/pnas.2213332120

PubMed Abstract | CrossRef Full Text | Google Scholar

300. Park SB, Khan M, Chiliveri SC, Hu X, Irvin P, Leek M, et al. SARS-CoV-2 omicron variants harbor spike protein mutations responsible for their attenuated fusogenic phenotype. Commun Biol (2023) 6:556. doi: 10.1038/s42003-023-04923-x

PubMed Abstract | CrossRef Full Text | Google Scholar

301. Reuter N, Chen XH, Kropff B, Peter AS, Britt WJ, Mach M, et al. SARS-CoV-2 spike protein is capable of inducing cell-cell fusions independent from its receptor ACE2 and this activity can be impaired by furin inhibitors or a subset of monoclonal antibodies. Viruses-Basel (2023) 15:1500. doi: 10.3390/v15071500

CrossRef Full Text | Google Scholar

302. Zhang JL, Yang WY, Roy S, Liu HD, Roberts RM, Wang LP, et al. Tight junction protein occludin is an internalization factor for SARS-CoV-2 infection and mediates virus cell-to-cell transmission. Proc Natl Acad Sci U.S.A. (2023) 120:e2218623120. doi: 10.1073/pnas.2218623120

PubMed Abstract | CrossRef Full Text | Google Scholar

303. Kyriakopoulos AM, Nigh G, McCullough PA, Seneff S. Mitogen activated protein kinase (MAPK) activation, p53, and autophagy inhibition characterize the severe acute respiratory syndrome coronavirus 2 (SARS-coV-2) spike protein induced neurotoxicity. Cureus (2022) 14:e32361. doi: 10.7759/cureus.32361

PubMed Abstract | CrossRef Full Text | Google Scholar

304. Koot M, Keet IPMK, Vos AHV, de Goede REY. Prognostic value of HIV-1 syncytium-inducing phenotype for rate of CD4+ cell depletion and progression to AIDS. Ann Intern Med (1993) 118:681–8. doi: 10.7326/0003-4819-118-9-199305010-00004

PubMed Abstract | CrossRef Full Text | Google Scholar

305. Schmidt B, Scott I, Whitmore RG, Foster H, Fujimura S, Schmitz J, et al. Low-level HIV infection of plasmacytoid dendritic cells: onset of cytopathic effects and cell death after PDC maturation. Virology (2004) 329:280–8. doi: 10.1016/j.virol.2004.08.016

PubMed Abstract | CrossRef Full Text | Google Scholar

306. Nardacci R, Perfettini JL, Grieco L, Thieffry D, Kroemer G, Piacentini M. Syncytial apoptosis signaling network induced by the HIV-1 envelope glycoprotein complex: an overview. Cell Death Dis (2015) 6:e1846. doi: 10.1038/cddis.2015.204

PubMed Abstract | CrossRef Full Text | Google Scholar

307. Norelli S. Could DNA-reactive B lymphocytes be activated through HIV-1 DNA-stimulation involving BCR/TLR-9 pathway to yield antibodies targeting viral DNA? Med Hypotheses (2014) 83:659–63. doi: 10.1016/j.mehy.2014.09.012

PubMed Abstract | CrossRef Full Text | Google Scholar

308. Gougeon M-L, Poirier-Beaudouin B, Durant J, Lebrun-Frenay C, Saïdi H, Seffer V, et al. HMGB1/anti-HMGB1 antibodies define a molecular signature of early stages of HIV-Associated Neurocognitive Disorders (HAND). Heliyon (2017) 3:e00245. doi: 10.1016/j.heliyon.2017.e00245

PubMed Abstract | CrossRef Full Text | Google Scholar

309. Fantini J, Chahinian H, Yahi N. Convergent evolution dynamics of SARS-CoV-2 and HIV surface envelope glycoproteins driven by host cell surface receptors and lipid rafts: lessons for the future. Internat J Mol Sci (2023) 24:1923. doi: 10.3390/ijms24031923

CrossRef Full Text | Google Scholar

310. Bouhaddou M, Memon D, Meyer B, White KM, Rezelj VV, Correa Marrero M, et al. The global phosphorylation landscape of SARS-CoV-2 infection. Cell (2020) 182:685–712.e19. doi: 10.1016/j.cell.2020.06.034

PubMed Abstract | CrossRef Full Text | Google Scholar

311. Piekna-Przybylska D, Maggirwar SB. CD4+memory T cells infected with latent HIV-1 are susceptible to drugs targeting telomeres. Cell Cycle (2018) 17:2187–203. doi: 10.1080/15384101.2018.1520568

PubMed Abstract | CrossRef Full Text | Google Scholar

312. Tasca KI, Correa CR, Caleffi JT, Mendes MB, Gatto M, Manfio VM, et al. Asymptomatic HIV people present different profiles of sCD14, sRAGE, DNA damage, and vitamins, according to the use of cART and CD4+ T Cell restoration. J Immunol Res (2018) 2018):7531718. doi: 10.1155/2018/7531718

PubMed Abstract | CrossRef Full Text | Google Scholar

313. König R, Zhou YY, Elleder D, Diamond TL, Bonamy GMC, Irelan JT, et al. Global analysis of host-pathogen interactions that regulate early-stage HIV-1 replication. Cell (2008) 135:49–60. doi: 10.1016/j.cell.2008.07.032

PubMed Abstract | CrossRef Full Text | Google Scholar

314. Roshal M, Kim B, Zhu YH, Nghiem P, Planelles V. Activation of the ATR-mediated DNA damage response by the HIV-1 viral protein R. J Biol Chem (2003) 278:25879–86. doi: 10.1074/jbc.M303948200

PubMed Abstract | CrossRef Full Text | Google Scholar

315. Chowdhury IH, Koyanagi Y, Suzuki M, Kobayashi S, Yamaguchi K, Yamamoto N. Increased production of human immunodeficiency virus (HIV) in HIV-induced syncytia formation: An efficient infection process. Virus Genes (1992) 6:63–78. doi: 10.1007/BF01703758

PubMed Abstract | CrossRef Full Text | Google Scholar

316. Kliger Y, Levanon EY. Cloaked similarity between HIV-1 and SARS-CoV suggests an anti-SARS strategy. BMC Microbiol (2003) 3:20. doi: 10.1186/1471-2180-3-20

PubMed Abstract | CrossRef Full Text | Google Scholar

317. Perween R, PraveenKumar M, Shrivastava T, Parray HA, Singh V, Singh S, et al. The SARS CoV-2 spike directed non-neutralizing polyclonal antibodies cross-react with Human immunodeficiency virus (HIV-1) gp41. Int Immunopharmacol (2021) 101:108187. doi: 10.1016/j.intimp.2021.108187

PubMed Abstract | CrossRef Full Text | Google Scholar

318. Pontelli MC, Castro ÍA, Martins RB, La Serra L, Veras FP, Nascimento DC, et al. SARS-CoV-2 productively infects primary human immune system cells in vitro and in COVID-19 patients. J Mol Cell Biol (2022) 14:mjac021. doi: 10.1093/jmcb/mjac021

PubMed Abstract | CrossRef Full Text | Google Scholar

319. Séror C, Melki MT, Subra F, Raza SQ, Bras M, Saidi H, et al. Extracellular ATP acts on P2Y2 purinergic receptors to facilitate HIV-1 infection. J Exp Med (2011) 208:1823–34. doi: 10.1084/jem.20101805

PubMed Abstract | CrossRef Full Text | Google Scholar

320. Chen NC, Partridge AT, Tuzer F, Cohen J, Nacarelli T, Navas-Martin S, et al. Induction of a snescence-like phenotype in cultured human fetal microglia during HIV-1 infection. J Gerontol Ser A-Biol Sci Med Sci (2018) 73:1187–96. doi: 10.1093/gerona/gly022

CrossRef Full Text | Google Scholar

321. Swartz TH, Esposito AM, Durham ND, Hartmann BM, Chen BK. P2X-selective purinergic antagonists are strong inhibitors of HIV-1 fusion during both cell-to-cell and cell-free infection. J Virol (2014) 88:11504–15. doi: 10.1128/jvi.01158-14

PubMed Abstract | CrossRef Full Text | Google Scholar

322. Adinolfi E, Giuliani AL, De Marchi E, Pegoraro A, Orioli E, Di Virgilio F. The P2X7 receptor: A main player in inflammation. Biochem Pharmacol (2018) 151:234–44. doi: 10.1016/j.bcp.2017.12.021

PubMed Abstract | CrossRef Full Text | Google Scholar

323. Garg H, Joshi A. Host and viral factors in HIV-mediated bystander apoptosis. Viruses-Basel (2017) 9:237. doi: 10.3390/v9080237

CrossRef Full Text | Google Scholar

324. Ferri KF, Jacotot E, Blanco J, Esté JA, Zamzami N, Susin SA, et al. Apoptosis control in syncytia induced by the HIV Type 1–envelope glycoprotein complex: role of mitochondria and caspases. J Exp Med (2000) 192:1081–92. doi: 10.1084/jem.192.8.1081

PubMed Abstract | CrossRef Full Text | Google Scholar

325. Patra T, Ray R. Bystander effect of SARS-CoV-2 spike protein on human monocytic THP-1 cell activation and initiation of prothrombogenic stimulus representing severe COVID-19. J Inflammation (2022) 19:28. doi: 10.1186/s12950-022-00325-8

CrossRef Full Text | Google Scholar

326. Perfettini JL, Castedo M, Roumier T, Andreau K, Nardacci R, Piacentini M, et al. Mechanisms of apoptosis induction by the HIV-1 envelope. Cell Death Differentiation (2005) 12:916–23. doi: 10.1038/sj.cdd.4401584

PubMed Abstract | CrossRef Full Text | Google Scholar

327. Pinti M, Mussini C, Cossarizza A. Mitochondrial DNA: a proinflammatory ‘enemy from within’ during HIV infection? Cell Death Dis (2012) 3:e307. doi: 10.1038/cddis.2012.47

CrossRef Full Text | Google Scholar

328. Dai Z, Cai W, Hu F, Lan Y, Li L, Chung C, et al. Plasma mitochondrial DNA levels as a biomarker of lipodystrophy among HIV-infected patients treated with highly active antiretroviral therapy (HAART). Curr Mol Med (2015) 15:975–9. doi: 10.2174/1566524016666151123114401

PubMed Abstract | CrossRef Full Text | Google Scholar

329. Miranda LR, Schaefer BC, Kupfer A, Hu Z, Franzusoff A. Cell surface expression of the HIV-1 envelope glycoproteins is directed from intracellular CTLA-4-containing regulated secretory granules. Proc Natl Acad Sci U.S.A. (2002) 99:8031–6. doi: 10.1073/pnas.122696599

PubMed Abstract | CrossRef Full Text | Google Scholar

330. Garg H, Blumenthal R. Role of HIV Gp41 mediated fusion/hemifusion in bystander apoptosis. Cell Mol Life Sci (2008) 65:3134–44. doi: 10.1007/s00018-008-8147-6

PubMed Abstract | CrossRef Full Text | Google Scholar

331. Kim MJ, Kim JY, Shin JH, Son J, Kang Y, Jeong SK, et al. The SARS-CoV-2 spike protein induces lung cancer migration and invasion in a TLR2-dependent manner. Cancer Commun (2023) 38:216–226. doi: 10.1002/cac2.12485

CrossRef Full Text | Google Scholar

332. Olajide OA, Iwuanyanwu VU, Lepiarz-Raba I, Al-Hindawi AA. Induction of exaggerated cytokine production in human peripheral blood mononuclear cells by a recombinant SARS-CoV-2 Spike glycoprotein S1 and Its inhibition by dexamethasone. Inflammation (2021) 44:1865–77. doi: 10.1007/s10753-021-01464-5

PubMed Abstract | CrossRef Full Text | Google Scholar

333. Robles JP, Zamora M, Adan-Castro E, Siqueiros-Marquez L, de la Escalera GM, Clapp C. The spike protein of SARS-CoV-2 induces endothelial inflammation through integrin alpha 5 beta 1 and NF-kappa B signaling. J Biol Chem (2022) 298:101695. doi: 10.1016/j.jbc.2022.101695

PubMed Abstract | CrossRef Full Text | Google Scholar

334. Montezano AC, Camargo LL, Mary S, Neves KB, Rios FJ, Stein R, et al. SARS-CoV-2 spike protein induces endothelial inflammation via ACE2 independently of viral replication. Sci Rep (2023) 13:14086. doi: 10.1038/s41598-023-41115-3

PubMed Abstract | CrossRef Full Text | Google Scholar

335. Frank MG, Nguyen KH, Ball JB, Hopkins S, Kelley T, Baratta MV, et al. SARS-CoV-2 spike S1 subunit induces neuroinflammatory, microglial and behavioral sickness responses: Evidence of PAMP-like properties. Brain Behav Immun (2022) 100:267–77. doi: 10.1016/j.bbi.2021.12.007

PubMed Abstract | CrossRef Full Text | Google Scholar

336. Kucia M, Ratajczak J, Bujko K, Adamiak M, Ciechanowicz A, Chumak V, et al. An evidence that SARS-Cov-2/COVID-19 spike protein (SP) damages hematopoietic stem/progenitor cells in the mechanism of pyroptosis in Nlrp3 inflammasome-dependent manner. Leukemia (2021) 35:3026–9. doi: 10.1038/s41375-021-01332-z

PubMed Abstract | CrossRef Full Text | Google Scholar

337. Schwarz H, Schmittner M, Duschl A, Horejs-Hoeck J. Residual endotoxin contaminations in recombinant proteins are sufficient to activate human CD1c+ dendritic cells. PloS One (2014) 9:e113840. doi: 10.1371/journal.pone.0113840

PubMed Abstract | CrossRef Full Text | Google Scholar

338. Petruk G, Puthia M, Petrlova J, Samsudin F, Strömdahl A-C, Cerps S, et al. SARS-CoV-2 spike protein binds to bacterial lipopolysaccharide and boosts proinflammatory activity. J Mol Cell Biol (2020) 12:916–32. doi: 10.1093/jmcb/mjaa067

PubMed Abstract | CrossRef Full Text | Google Scholar

339. Sung PS, Yang SP, Peng YC, Sun CP, Tao MH, Hsieh SL. CLEC5A and TLR2 are critical in SARS-CoV-2-induced NET formation and lung inflammation. J Biomed Sci (2022) 29. doi: 10.1186/s12929-022-00832-z

PubMed Abstract | CrossRef Full Text | Google Scholar

340. Bagheri-Hosseinabadi Z, Mohammadizadeh Ranjbar F, Nassiri M, Amiri A, Abbasifard M. Nasopharyngeal epithelial cells from patients with coronavirus disease 2019 express abnormal levels of Toll-like receptors. Pathog Global Health (2023) 117:401–8. doi: 10.1080/20477724.2023.2166378

CrossRef Full Text | Google Scholar

341. Sohn KM, Lee SG, Kim HJ, Cheon S, Jeong H, Lee J, et al. COVID-19 patients upregulate Toll-like Receptor 4-mediated inflammatory signaling that mimics bacterial sepsis. J Korean Med Sci (2020) 35:e343. doi: 10.3346/jkms.2020.35.e343

PubMed Abstract | CrossRef Full Text | Google Scholar

342. Garcia-Villalba J, Hurtado-Navarro L, Penin-Franch A, Molina-Lopez C, Martinez-Alarcon L, Angosto-Bazarra D, et al. Soluble P2X7 receptor is elevated in the plasma of COVID-19 patients and correlates with disease severity. Front Immunol (2022) 13:894470. doi: 10.3389/fimmu.2022.894470

PubMed Abstract | CrossRef Full Text | Google Scholar

343. Alves VS, Santos SACS, Leite-Aguiar R, Paiva-Pereira E, Reis R, Calazans ML, et al. SARS-CoV-2 Spike protein alters microglial purinergic signaling. Front Immunol (2023) 14:1158460. doi: 10.3389/fimmu.2023.1158460

PubMed Abstract | CrossRef Full Text | Google Scholar

344. Consortium WST. Repurposed antiviral drugs for Covid-19 — interim WHO solidarity trial results. New Engl J Med (2020) 384:497–511. doi: 10.1056/NEJMoa2023184

PubMed Abstract | CrossRef Full Text | Google Scholar

345. Junqueira C, Crespo Â, Ranjbar S, Ingber J, Parry B, Ravid S, et al. SARS-CoV-2 infects blood monocytes to activate NLRP3 and AIM2 inflammasomes, pyroptosis and cytokine release. medRxiv (2021). doi: 10.1101/2021.03.06.21252796

PubMed Abstract | CrossRef Full Text | Google Scholar

346. Janeway CA. The immune system evolved to discriminate infectious nonself from noninfectious self. Immunol Today (1992) 13:11–6. doi: 10.1016/0167-5699(92)90198-G

PubMed Abstract | CrossRef Full Text | Google Scholar

347. Janeway CA, Medzhitov R. Innate immune recognition. Annu Rev Immunol (2002) 20:197–216. doi: 10.1146/annurev.immunol.20.083001.084359

PubMed Abstract | CrossRef Full Text | Google Scholar

348. Heil M. Damaged-self recognition as a general strategy for injury detection. Plant Signal Behav (2012) 7:576–80. doi: 10.4161/psb.19921

PubMed Abstract | CrossRef Full Text | Google Scholar

349. Klimek L, Jutel M, Akdis CA, Bousquet J, Akdis M, Torres MJ, et al. ARIA-EAACI statement on severe allergic reactions to COVID-19 vaccines - An EAACI-ARIA Position Paper. Allergy (2021) 76:1624–8. doi: 10.1111/all.14726

PubMed Abstract | CrossRef Full Text | Google Scholar

350. Li DX, Chen PQ, Shi T, Mehmood A, Qiu JF. HD5 and LL-37 inhibit SARS-CoV and SARS-CoV-2 binding to human ACE2 by molecular simulation. Interdiscip Sci Comput Life Sci (2021) 13:766–77. doi: 10.1007/s12539-021-00462-3

CrossRef Full Text | Google Scholar

351. McGlasson SL, Semple F, MacPherson H, Gray M, Davidson DJ, Dorin JR. Human -defensin 3 increases the TLR9-dependent response to bacterial DNA. Eur J Immunol (2017) 47:658–64. doi: 10.1002/eji.201646799

PubMed Abstract | CrossRef Full Text | Google Scholar

352. Ko HL, Zhuo N, Chang ZW, Santosa A, Kalimuddin S, Lim XR, et al. In vitro vaccine challenge of PBMCs from BNT162b2 anaphylaxis patients reveals HSP90α-NOD2-NLRP3 nexus. Allergy (2023) 78:304–7. doi: 10.1111/all.15503

PubMed Abstract | CrossRef Full Text | Google Scholar

353. Scherlinger M, Sibilia J, Tsokos GC, Gottenberg JE. Chronic stimulation with SARS-CoV-2 spike protein does not trigger autoimmunity. Clin Immunol (2023) 248:109264. doi: 10.1016/j.clim.2023.109264

PubMed Abstract | CrossRef Full Text | Google Scholar

354. Sprent J, King C. COVID-19 vaccine side effects: The positives about feeling bad. Sci Immunol (2021) 6:eabj9256. doi: 10.1126/sciimmunol.abj9256

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: self-DNA, DAMPs, HIV-1, immunogenic DNA, mRNA vaccines, COVID-19, autoimmune disorder, sterile inflammation

Citation: Heil M (2024) Self-DNA driven inflammation in COVID-19 and after mRNA-based vaccination: lessons for non-COVID-19 pathologies. Front. Immunol. 14:1259879. doi: 10.3389/fimmu.2023.1259879

Received: 17 July 2023; Accepted: 26 December 2023;
Published: 19 February 2024.

Edited by:

Francesca Granucci, University of Milano-Bicocca, Italy

Reviewed by:

Tianhao Duan, University of Southern California, United States
Anna Picca, Università Lum Jean Monnet, Italy

Copyright © 2024 Heil. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Martin Heil, bWFydGluLmhlaWxAY2ludmVzdGF2Lm14

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.