Ricardo A. L. Sousa1
Asmaa Yehia
Osama A. Abulseoud- 1Department of Psychiatry and Psychology, Mayo Clinic Arizona, Phoenix, AZ, United States
- 2Department of Medical Physiology, Faculty of Medicine, Mansoura University, Mansoura, Egypt
- 3Department of Neuroscience, Graduate School of Biomedical Sciences, Mayo Clinic College of Medicine, Phoenix, AZ, United States
Coronavirus disease-19 (COVID-19), caused by severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2), is associated with the persistence of pre-existing or the emergence of new neurological and psychiatric manifestations as a part of a multi-system affection known collectively as “post-COVID syndrome.” Cognitive decline is the most prominent feature among these manifestations. The underlying neurobiological mechanisms remain under intense investigation. Ferroptosis is a form of cell death that results from the excessive accumulation of intracellular reactive iron, which mediates lipid peroxidation. The accumulation of lipid-based reactive oxygen species (ROS) and the impairment of glutathione peroxidase 4 (GPX4) activity trigger ferroptosis. The COVID-19-associated cytokine storm enhances the levels of circulating pro-inflammatory cytokines and causes immune-cell hyper-activation that is tightly linked to iron dysregulation. Severe COVID-19 presents with iron overload as one of the main features of its pathogenesis. Iron overload promotes a state of inflammation and immune dysfunction. This is well demonstrated by the strong association between COVID-19 severity and high levels of ferritin, which is a well-known inflammatory and iron overload biomarker. The dysregulation of iron, the high levels of lipid peroxidation biomarkers, and the inactivation of GPX4 in COVID-19 patients make a strong case for ferroptosis as a potential mechanism behind post-COVID neuropsychiatric deficits. Therefore, here we review the characteristics of iron and the attenuation of ferroptosis as a potential therapeutic target for neuropsychiatric post-COVID syndrome.
Introduction
Ferroptosis is defined as a controlled form of cell death driven by excess intracellular labile iron and loss of the anti-oxidant enzyme glutathione peroxidase 4 (GPX4) activity, with consequent accumulation of lipid-based reactive oxygen species (ROS), especially lipid hydroperoxides (Yang and Stockwell, 2016). Interestingly, a knockout of GPX4 in mice led to lethality before embryonic day 9 (E9), which indicates a vital role for GPX4 in mouse development (Matsui, 1996; Yant et al., 2003). In the absence of GPX4, lipid peroxidation in vivo has a lethal nature, especially in neurons (Seiler et al., 2008). Alongside the unfavorable effect of GPX4 activity loss, iron overload contributes to the pathogenesis of coronavirus disease-19 (COVID-19), inciting inflammation, hypercoagulation, and immune dysfunction. Iron overload fosters an environment with free, unbound reactive iron, which triggers ROS generation (Habib et al., 2021). Ferritin, an iron storage protein, is a well-known inflammatory and iron overload biomarker, and is considered a direct mediator of the immune system in COVID-19 (Kappert et al., 2020; Kaushal et al., 2022; Lee et al., 2022). Iron overload is strongly suggested to contribute to the development of post-COVID neurological deficits (Fratta Pasini et al., 2021; Pandey et al., 2021; Zhang et al., 2022).
The post-COVID progressive and intense neurological clinical deterioration seems to occur due to the cytokine storm in COVID-19 patients (Para et al., 2022), which could create a vicious cycle with ferroptosis. Patients with COVID-19 presenting with high serum ferritin levels are usually in a severe condition (Abulseoud et al., 2022; Para et al., 2022). In addition, COVID-19 patients with comorbidities such as severe acute liver injury, diabetes, thrombotic complications, and cancer present with significantly higher levels of ferritin than those without (Cheng et al., 2020; Li et al., 2021).
A recent study analyzed COVID-19 effects over a 2-year retrospective cohort of 1,248,437 patients and revealed that cognitive decline, brain fog, and dementia are increasing over a 2-year follow-up period (Taquet et al., 2022). Another recent study by Wang et al. analyzed 6,245,282 older adults (over 65 years old), and the authors showed that older people infected by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) were at significantly higher risk for a new diagnosis of Alzheimer’s disease (Wang et al., 2022). Post-COVID neurological consequences are tightly linked to other systems, including changes in the cardiovascular and immune systems, as well as higher levels of stress, anxiety, and depression (Campos et al., 2019; Salari et al., 2020; Zubair et al., 2020; Improta-Caria et al., 2021; Júnior et al., 2021; Sousa et al., 2021). The enigmatic nature of the post-COVID syndrome’s underlying mechanism necessitates intense investigation in order to achieve effective management strategy. Uncovering the role of iron as a potential therapeutic target is a critical step in pursuing better management of the post-COVID neurological consequences. Here, we review the characteristics of iron, and the attenuation of ferroptosis as a potential therapeutic target for neurological post-COVID syndrome.
Iron chemistry
Iron is the 26th element in the periodic table and is located in the transition metals group. It can exist in different oxidation states and possess catalytic properties (Neyens and Baeyens, 2003). Ferrous (Fe+2) and ferric (Fe+3) irons are the two most common iron states in biological systems (Cabantchik, 2014). From an atomic orbital energy standpoint, a ferrous iron atom has a total of 26 electrons distributed in the following manner: two electrons in 1 s (the least energy orbit), 2 electrons in 2 s, 6 electrons in 2p, 2 electrons in 3 s, 6 electrons in 3p, 2 electrons in 4 s, and 6 electrons in the 4d orbit (Fe: 1s22s22p63s23p63d64s2). The position energy in the 3rd orbit (3d) is slightly higher than the position energy in the 4th orbit (4 s). This means that electrons will fill the 4 s position first before filling the 3d position, and also that the 4 s electrons will be lost first before the 3d electrons (Sherry and Fürstner, 2008). That is why ferrous iron [(Fe2+): 1s22s22p63s23p63d6] has lost two electrons from the 4 s position, while ferric iron [(Fe3+): 1s22s22p63s23p63d5] has lost a total of three electrons (two from the 4 s and one from the 3d position). As such, ferric iron (Fe3+) is relatively more stable than ferrous iron (Fe2+). Stability means the balance between positive and negative charges in the atom. Changing the number of electrons disturbs this balance. The atom holds electrons through electron binding energy, which is the minimum energy required to remove an electron from an atom. This energy is directly proportional to the atomic number (heavier atoms have more energy) and inversely proportional to the distance from the nucleus (electrons in outer orbits require less energy to be removed from the atom). As stated, ferrous iron has lost two electrons from 4 s, leaving six electrons in 3d, while ferric iron has lost two electrons from 4 s and one from 3d leaving five electrons in 3d. Electrons in partially filled orbits require more energy to remove from the orbit compared to electrons in fully filled orbits, which is why ferric iron is more stable compared to ferrous iron. The ability of ferric iron (Fe3+) to accept an electron and become ferrous iron (Fe2+) is called reduction, and the ability of ferrous iron (Fe2+) to donate an electron and become ferric iron (Fe3+) is called oxidation (Figure 1).
Figure 1. Iron and the two most common iron states in biological systems. It is called reduction when Fe3+ accepts an electron and becomes Fe2+, and it is called oxidation when Fe2+ donates an electron and becomes Fe3+. Schrodinger atom model is represented in the figures for ferrous and ferric iron.
This reduction–oxidation or Redox, is what makes iron a catalyst for reactions that require electron transfer (Hosseinzadeh and Lu, 2016). In the Fenton reaction, for example, iron catalyzes the decomposition of hydrogen peroxide (H2O2) to produce hydroxyl radicals (●OH) at an acidic PH with high oxidizing properties (Neyens and Baeyens, 2003) [see the reaction below. The unpaired electron of a free radical is represented with a dot (●)].
Numerous key enzymes rely on iron redox properties such as the mitochondrial respiratory chain enzymes (Gille and Reichmann, 2011), the aconitase enzyme in the tri-carboxylic acid cycle, which facilitates the conversion of citrate to iso-citrate via cis-aconitate (Kennedy et al., 1983; Robbins and Stout, 1989), and tyrosine hydroxylase, which is the rate-limiting enzyme in catecholamine synthesis (Ramsey et al., 1996; Daubner et al., 2011). Moreover, the serotonergic system may require ferrous iron (Fe2+) for binding serotonin to serotonin-binding proteins (Tamir and Liu, 1982). As such, iron is beneficial in regulating energy production and neurotransmitter synthesis, such as glutamate (McGahan et al., 2005; Lall et al., 2008) and dopamine (Ramsey et al., 1996). However, the same inherent “pro-oxidant” ability of ferrous iron (Fe2+) to donate an electron and catalyze enzymatic reactions also causes hydrogen peroxide (H2O2) to breakdown into hydroxyl radicals (●OH) causing lipid peroxidation and oxidative damage to proteins, deoxyribonucleic acid (DNA), and ribonucleic acid (RNA) (Graham et al., 2007). For this reason, the oxidative property of ferrous iron (Fe2+) must be managed by transforming it into a more stable ferric iron (Fe3+) and shielding this ferric iron (Fe2+) from water by transporting ferric iron into protein transporters.
The liver is the major organ involved in iron homeostasis. The liver produces iron transporters, including transferrin and divalent metal transporter-1 (DMT1). Transferrin transports ferric iron in the intestinal lumen and plasma, while DMT1 transports ferrous iron from the interior of the endosome to the cytosol. The liver also produces ferritin and hepcidin, which serve as the iron storage protein, and the only iron hormonal regulator, respectively. Furthermore, it produces transferrin receptor 1 (TfR1) and the iron responsive element binding proteins, which act as iron sensors and regulate the mRNA iron responsive element to enhance transferrin receptor translation and to down-regulate ferritin translation (Winterbourn, 1995). Moreover, the liver controls the oxidative state of iron by producing ferrireductase and ferroxidase enzymes. Ferrireductase reduces endosomal ferric iron, at low PH, within endocytosis vesicles into ferrous iron before it is released from the transferrin and reduces stored ferric iron into ferrous iron before release from ferritin, while ferroxidase oxidizes ferrous iron into ferric iron to be stored in ferritin (Graham et al., 2007).
Iron absorption and fate within the cell
Dietary ferric iron uptake by the intestinal mucosa depends on hepatic transferrin, Transferrin Receptor 1 (TfR1), and iron content within enterocytes. Transferrin is synthesized by hepatocytes and excreted through the biliary system into the intestinal lumen. Transferrin binds two atoms of iron per protein molecule and brings them into the cells by endocytosis (Bezkorovainy, 1989b). Duodenal and upper jejunal (low PH), but not ileal (Huebers et al., 1983), enterocyte crypts express TfR1 at the basolateral border (Barisani and Conte, 2002). These cells uptake iron from plasma transferrin by receptor-mediated endocytosis (Morgan and Oates, 2002). TfR1 is involved in sensing body iron stores. TfR1 expression increases with iron deficiency and decreases with iron overload (Barisani and Conte, 2002). Within endosomes, transferrin, TfR1, and ferric iron (Fe3+) are subject to low PH to separate ferric iron (Fe3+) from transferrin and TfR1. Transferrin and TfR1 are cycled back to the cell surface or plasma, while ferric iron (Fe3+) is reduced by the ferrireductase enzyme into ferrous iron (Fe2+). DMT1 transports ferrous iron (Fe2+) out of the endosome and into the cytoplasm, where it enters a transient pool of metabolically active iron known as the labile iron pool (LIP). LIP iron can be utilized for cellular processes such as DNA synthesis, repair, and cell cycling. Alternatively, excess LIP iron can be stored in ferritin (Paul et al., 2017) or exit the cell through ferroportin. Iron storage as ferric iron (Fe3+) within ferritin protein may occur (Ponka et al., 1998; Zandman-Goddard and Shoenfeld, 2007; Finazzi and Arosio, 2014). However, iron must be in the ferrous state (Fe2+) to enter and exit the ferritin molecule (Crichton, 1973; Bezkorovainy, 1989a; Hintze and Theil, 2006). The enzymes ferroxidase and ferrireductase change the state of iron back and forth between ferric (Fe3+) and ferrous (Fe2+). Ferritin synthesis is up regulated by several factors, including high toxic oxygen radical or cytokine concentrations, typically seen during infections. High ferritin production reduces the bioavailability of iron which leads to less reactive oxygen radical production (Koorts and Viljoen, 2007; Zandman-Goddard and Shoenfeld, 2007).
On the other hand, rapid degradation of ferritin could be toxic due to the uncontrolled release of free reactive iron. However, degradation within membrane-encapsulated “secondary lysosomes’ may avoid this problem through the formation of hemosiderin, which is another form of iron storage protein (Harrison and Arosio, 1996). Iron exit depends on the iron export channel ferroportin expression and the hepatic hormone hepcidin concentration. Ferroportin is an iron transporter on the surface of absorptive enterocytes, hepatocytes, and other cells. The main function of ferroportin is to export ferrous iron from iron-containing cells into plasma transferrin as ferric iron (Fe3+). The ferroxidase enzyme oxidizes ferrous iron into ferric iron (Nemeth et al., 2004; Ganz, 2005, 2006, 2007; Drakesmith et al., 2015). Hepcidin is an iron-regulatory hormone synthesized in hepatocytes. Hepcidin binds, internalizes, and degrades the cellular iron exporter ferroportin and thereby decreases iron efflux into plasma. Hepcidin synthesis is stimulated by high plasma iron and iron stores and inhibited by erythropoietic activity (Ganz, 2007). Hepcidin deficiency causes iron overload in hereditary hemochromatosis and ineffective erythropoiesis (Ganz and Nemeth, 2012; Ginzburg, 2019).
Brain iron uptake
Blood transferrin binds to transferrin receptors on epithelial cells of the choroid plexus and oligodendrocytes. Among glial cells, oligodendrocytes synthesize 90% of brain transferrin since iron plays a significant role in their development and in myelin formation (Todorich et al., 2009). Neurons and glial cells take up iron released into the brain interstitium, and apo-transferrin is recycled back to the blood (Bloch et al., 1987; Crowe and Morgan, 1992; Moos, 2002). This process increases during the period of rapid brain growth and iron deficiency and declines with age (Taylor and Morgan, 1990). It also can be reversed (from the brain interstitium back to the blood) during brain iron overload (Broadwell, 1989). Most iron entering the brain across the capillary endothelium finally leaves the system with the bulk outflow of the cerebrospinal fluid (CSF) through the arachnoid villi and other channels (Bradbury, 1997). Interestingly, approximately half of the transferrin in the CSF is derived from the choroid plexus, while the other half comes from the blood in the adult brain (Crowe and Morgan, 1992). Neuronal function is iron-dependent because of the high energy demand, oxidative metabolism, and cytochrome participation in the respiratory chain. The function of oligodendrocytes is also iron-dependent since iron is involved in lipid synthesis needed for myelin synthesis (Connor and Menzies, 1996). Microglial iron is essential for the inflammatory release of hydrolytic enzymes and free radicals via the oxidation of ferrous iron. Microglial iron also participates in the formation of nitric oxide, where iron acts as a co-factor for the nitric oxide synthase enzyme that catalyzes the formation of nitric oxide from the amino acid L-arginine (Moos, 2002). Several iron-related molecular pathways have been reported to be involved in COVID-19 (Farahani et al., 2022).
Iron-related molecular mechanisms in COVID-19
Uncovering the molecular mechanisms involved in SARS-CoV-2 infection is crucial for a better understanding and management of COVID-19’s consequences. The angiotensin converting enzyme 2 (ACE2)/Angiotensin 1–7 Mas receptor pathway is an important part of the renin-angiotensin system (RAS), which converts angiotensin II into a heptapeptide (Angiotensin 1–7) and angiotensin I into a nonapeptide (Angiotensin 1–9). ACE2 works as a cell surface receptor through which SARS-CoV-2 can enter the cell (De Sousa et al., 2021; Farahani et al., 2022). Viral brain invasion occurs through the olfactory nerve, infection of the vascular endothelium, or migrating leukocytes crossing the blood–brain barrier (Zubair et al., 2020). SARS-CoV-2 infection leads to higher levels of ROS that will cause harmful effects on proteins, lipids, and DNA, creating a similar state to cell necrosis (Kouhpayeh et al., 2021). Ferroptosis is considered a novel type of cell death that shares some aspects with cell necrosis (Anthonymuthu et al., 2021). The excess of iron in the plasma and body organs is tightly related to COVID-19 (Liu P. et al., 2020; Habib et al., 2021; Li et al., 2021; Zhang et al., 2022).
Among the COVID-19 related molecular pathways, there are 22 pathways identified (RAS, NF-kappa B, mTOR, Notch, HIF-1, MAPK, JAK–STAT, TNF signaling pathway, autophagy, apoptosis, necroptosis, B cell receptor signaling pathway, chemokine signaling pathway, IL-17 signaling pathway, natural killer cell mediated cytotoxicity, NOD-like receptor signaling pathway, T cell receptor signaling pathway, Th1 and Th2 cell differentiation, Th17 cell differentiation, toll-like receptor signaling pathway, complement and coagulation cascades, and cytokine-cytokine receptor interaction pathway) with non-cross-talk genes and cross-talk genes making up 561 genes. The cytokine-cytokine receptor interaction pathway is the most significant pathway, presenting 197 crosstalk genes of the 561 total genes (Farahani et al., 2022). ADAM17 is also identified as an important mediator of the major signaling pathways involved in the deleterious consequences of COVID-19 since it processes various substrates, like membrane-anchored cytokines, growth factors, cell adhesion molecules, receptors, and other proteins. The reported damage to body organs and brain regions in COVID-19 results mainly from the cytokine storm, one of the main SARS-CoV-2 infection harmful consequences (Li et al., 2020).
Greater levels of inflammatory cytokines combined with a hypoxic state resulting from pulmonary dysfunction can lead to a reduction in blood flow and oxygen supply (Fratta Pasini et al., 2021). The cytokine storm is a prominent feature of the SARS-CoV-2 infection, instigating systemic flooding with pro-inflammatory cytokines such as interleukin-6 (IL-6), IL-1β, IL-8, interferon-γ (IFN-γ), tumor necrosis factor-alpha (TNF-α), monocyte chemo-attractant protein-1 (MCP-1), and macrophage inflammatory protein-1A (MIP-1A) (Fara et al., 2020; Kempuraj et al., 2020). Moreover, the cytokine storm co-exists with a massive increase in coagulopathies and acute phase reactants such as C-reactive protein (CRP) and serum ferritin which correlate with the severity of the disease (Cheng et al., 2020; Lino et al., 2021; Savla et al., 2021). High levels of peripheral pro-inflammatory cytokines compromise the blood brain barrier (BBB) integrity, cross over to the brain vicinity, and activate its resident immune cells, causing microglial activation which in turn creates a medium of neuroinflammation (Almutairi et al., 2021). Interleukin-6 (IL-6) stimulates the synthesis of ferritin and hepcidin in a cytokine storm (Daher et al., 2017; Bessman et al., 2020). Hepcidin and hepcidin-like proteins bind to ferroportin, the cellular iron exporter, which prevents iron outflow and contributes to enhanced LIP, posing the risk of the Fenton reaction and ferroptosis when GPX4 does not eliminate the excess lipid ROS (Frazer and Anderson, 2014; Ganz, 2018). Hoarding iron into the cell as in cases of iron overload could be detrimental since SARS-CoV-2 replication requires iron (Liu W. et al., 2020). Furthermore, SARS-CoV-2 attacks hemoglobin, leading to iron release into the circulation (Zhang et al., 2022). Therefore, the interaction between the cytokine storm and iron dysregulation, with potential subsequent ferroptosis in COVID-19, could activate molecular mechanisms that result in brain damage. In that case, brain damage could heavily rely on higher hepcidin levels, excessive iron influx through transferrin receptors, and the release of free iron into the circulation due to infection. In addition, during ferroptosis, mitochondria stop elongating, condense, and reduce in size and number. Microglia get activated, engulf synapses, and are polarized to a pro-inflammatory phenotype, flooding the brain with pro-inflammatory cytokines such as tumor necrosis factor alpha (TNF-α), leading to changes in cognition and behavior (Figure 2; Zhang et al., 2022).
Figure 2. Potential mechanisms of physiological and neurological ferroptosis-associated changes due to SARS-CoV-2 infection. SARS-CoV-2 virus enters the cells through the ACE2 receptor, and triggers cytokine storm, and ferroptosis, which together contributes to mitochondrial damage, and microglial activation. The activation of all these mechanisms together contribute to the enhancement of ADAM17, TNF-, IL-6, with simultaneous inhibition of GPX4, ferroportin, reduction of oxygen supply, and blood flow. These physiological and neurological changes will lead to behavioral disturbances, cognitive decline, and memory loss.
Ferroptosis inhibition: a possible therapeutic target for neurological post-COVID syndrome
Ferroptosis can be classified as a new type of cell death that is dependent on lipid peroxidation and characterized by mitochondrial shrinkage (Liu P. et al., 2020). Ferroptosis contributes to the development of several pathologic processes, including inflammation and neurodegenerative diseases (Zhang et al., 2022). Multiple neurodegenerative diseases present with iron accumulation and lipid peroxidation in the brain (Farahani et al., 2022). Hambright et al. tested the efficacy of tamoxifen-induced deletion of forebrain neuronal GPx4 gene (Gpx4BIKO mice) as a model of ferroptosis. Gpx4BIKO mice exhibited significant deficits in spatial learning and memory function associated with lipid peroxidation and hippocampal neurodegeneration. Treatment with the ferroptosis inhibitor liproxstatin-1 ameliorated neurodegeneration (Hambright et al., 2017). Recent studies have also documented the role of ferroptosis in mediating cognitive dysfunction in animal models of Alzheimer’s disease (AZ). Using the 5xFAD mouse model (has low GPx4 and cognitive impairment), Chen et al. generated a 5xFAD mice that overexpress Gpx4 (5xFAD/GPX4). These mice with overexpressed GPx4 performed significantly better in memory and learning tasks compared to the control 5xFAD mice and had reduced neurodegeneration (Chen et al., 2022). Bao et al. showed that selective genetic deletion of ferroportin 1 led to ferroptosis, hippocampal atrophy and memory deficits, while restoring ferroportin 1 ameliorated ferroptosis and memory impairment in the APPswe/PS1dE9 mouse model of AZ (Bao et al., 2021). Along the same lines, Hao et al. showed that cognitive dysfunction in the streptozotocin rat model of type 1 diabetes is related to hippocampal iron overload and ferroptosis mediated by down regulation of ferroportin 1 gene (Hao et al., 2021). A growing body of evidence suggests ferroptosis as a plausible mechanism behind the SARS-CoV-2-associated neuropsychiatric symptoms, cognitive decline, and memory loss (Zhang et al., 2022). In an ischemic stroke model, Acyl-coenzyme A synthase long-chain family member 4 (ACSL4), which is crucial to ferroptosis-related lipid peroxidation, promoted ferroptosis-induced brain injury and neuroinflammation with similar findings to neuro-COVID-19 events, such as infarct size increase, reduced neurological function, microglial activation, and increased pro-inflammatory cytokines (Cui et al., 2021). In the context of COVID 19, we can see glimpses of potential iron perturbation along with neuroinflammation in several forms. High serum ferritin (Cheng et al., 2020) and hepcidin levels (Hortová-Kohoutková et al., 2023), low serum iron levels (Gaiatto et al., 2023), and low transferrin saturation (Claise et al., 2022) have been significantly correlated with COVID-19 severity, hospitalization, and mortality (Zhou et al., 2020; Kaushal et al., 2022; Suriawinata and Mehta, 2022). In COVID-19 patients, altered iron metabolism, depletion of glutathione (GSH) (Kumar et al., 2022), inactivation of GPX4 (Muhammad et al., 2021), and up regulation of lipid peroxidation biomarkers strongly propose ferroptosis as a plausible mechanism for COVID-19 multi-organ affection, including neuropsychiatric sequelae (Yang and Lai, 2020).
It is repeatedly reported that the use of multiple iron chelators such as deferoxamine prevents the formation of ROS by averting electron donation from iron to oxygen, which could minimize ferroptosis (Ren et al., 2020; Anthonymuthu et al., 2021). To prevent ferroptosis, ferrostatin-1 plays a role as a lipid ROS scavenger (Yang and Stockwell, 2016). Ferrostatin-1 alleviates angiotensin II-induced inflammation and ferroptosis by inhibiting the enhancement of ROS levels in astrocytes and the subsequent reactive gliosis (Li et al., 2021). Another recent study showed that ferrostatin-1 diminishes the levels of ROS and malondialdehyde and enhances superoxide dismutase activity in HT-22 cells, revealing a protective effect of this ferroptosis inhibitor (Chu et al., 2020). Curiously, a recent study reported that ferrostatin-1, in the presence of reduced iron levels, eliminates lipid hydroperoxides, presenting a similar effect as GPX4 (Miotto et al., 2020). The use of deferoxamine as a ferroptosis inhibitor showed success in reducing inflammation and improving memory in different models of neurodegenerative diseases (Xue et al., 2016; Fine et al., 2020; Lee et al., 2021). These results propose ferroptosis inhibition as a plausible approach to managing the post-COVID neurological disturbances (Table 1).
Table 1. Ferroptosis inhibitors/ROS scavengers.
Conclusion
The attenuation of ferroptosis as a potential therapeutic target for neurological post-COVID syndrome is not yet fully established. However, inactivation of GPX4 and up regulation of lipid peroxidation and ROS are constitutive components of both SARS-CoV-2 infection and ferroptosis, suggesting a potentially major role for ferroptosis inhibitors. Identifying the possible beneficial molecular changes in the brain caused by these inhibitors in the context of COVID-19 would provide a great insight into managing post-COVID neuropsychiatric manifestations.
Author contributions
OA: concept and design, drafting of the manuscript, and supervision. All authors: critical revision of the manuscript for important intellectual content.
Funding
This work was funded by the Department of Psychiatry and Psychology at the Mayo Clinic Arizona.
Conflict of interest
The authors declare 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
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Keywords: ferroptosis, post-COVID syndrome, SARS-CoV-2, therapeutic target, long COVID
Citation: Sousa RAL, Yehia A and Abulseoud OA (2023) Attenuation of ferroptosis as a potential therapeutic target for neuropsychiatric manifestations of post-COVID syndrome. Front. Neurosci. 17:1237153. doi: 10.3389/fnins.2023.1237153
Edited by:
Song Zhang, Shanghai Jiao Tong University, ChinaReviewed by:
Barnali Ray Basu, University of Calcutta, IndiaCopyright © 2023 Sousa, Yehia and Abulseoud. 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: Osama A. Abulseoud, Abulseoud.osama@Mayo.edu