Andrea Gramegna1,2*†
Andrea Lombardi1,3†
Nicola I. Lorè4
Francesco Amati5,6Ivan Barone1,2Cecilia Azzarà1,3
Daniela Cirillo4Stefano Aliberti5,6
Andrea Gori1,3
Francesco Blasi1,2- 1Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
- 2Internal Medicine Department, Respiratory Unit and Cystic Fibrosis Adult Center, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy
- 3Internal Medicine Department, Infectious Diseases Unit, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy
- 4Emerging Bacterial Pathogens Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- 5IRCCS Humanitas Research Hospital, Respiratory Unit, Milan, Italy
- 6Department of Biomedical Sciences, Humanitas University, Milan, Italy
Non-tuberculous mycobacteria (NTM) are ubiquitous environmental microorganisms capable of a wide range of infections that primarily involve the lymphatic system and the lower respiratory tract. In recent years, cases of lung infection sustained by NTM have been steadily increasing, due mainly to the ageing of the population with underlying lung disease, the enlargement of the cohort of patients undergoing immunosuppressive medications and the improvement in microbiologic diagnostic techniques. However, only a small proportion of individuals at risk ultimately develop the disease due to reasons that are not fully understood. A better understanding of the pathophysiology of NTM pulmonary disease is the key to the development of better diagnostic tools and therapeutic targets for anti-mycobacterial therapy. In this review, we cover the various types of interactions between NTM and lymphoid effectors of innate and adaptive immunity. We also give a brief look into the mechanism of immune exhaustion, a phenomenon of immune dysfunction originally reported for chronic viral infections and cancer, but recently also observed in the setting of mycobacterial diseases. We try to set the scene to postulate that a better knowledge of immune exhaustion can play a crucial role in establishing prognostic/predictive factors and enabling a broader investigation of immune-modulatory drugs in the experimental treatment of NTM pulmonary disease.
Introduction
Non-tuberculous mycobacteria (NTM) are ubiquitous microorganisms that can cause severe infections, involving in 90% of cases the lungs (NTM-LD) (1). Cases of NTM-LD are increasing worldwide, with an incidence ranging from 8.6 to 17.7 cases per 100,000 person-year (2, 3). Once considered restricted to immunocompromised subjects, NTM infections are now identified also in otherwise healthy individuals (4).
Despite being environmental microorganisms, NTM cause disease only in a small subset of individuals at risk (5–7). The reasons behind this pleomorphic expression are not completely understood and have been linked to several factors. Among pathogen-related factors, some species of NTM have high pathogenicity, with M. malmoense and M. kansasii being almost invariably associated with disease, whereas others like M. gordonae do not cause pathology in the host (8). Host predisposing factors have been also identified, with female gender, history of cigarette smoking, and concomitant chronic lung disease as bronchiectasis, chronic obstructive pulmonary disease, silicosis or cystic fibrosis being among the constitutive or acquired elements associated with the development of NTM-LD (9). Also host factors related to the immune system, like deficiencies in CD4+ T cell function due to HIV infection, anti-tumour necrosis factor (TNF) therapy, and inherited deficiencies in the production or response to interferon-gamma (IFN-γ) have been associated with disseminated NTM infection (10).
The aim of this review is to provide a global overview of the cell-mediated immunity directed toward NTM infection, focusing on lymphoid cells belonging to both innate and adaptive immunity.
The Role of Innate Lymphoid Cells
The innate lymphoid cell (ILC) family is composed of natural killer (NK) cells, ILC1, ILC2, ILC3, and lymphoid tissue-inducer cells. ILCs are only a small proportion of the total immune cells in the lung, but they have been found to promote lung homeostasis and are emerging as contributors to a variety of chronic lung diseases (11).
NK Cells
Natural killer (NK) cells are a class of innate lymphoid cells exerting both cytotoxic and immune regulatory activities and are identified among the lymphocyte subset by the expression of the surface marker CD56 in the absence of CD3 (12–14). Their subset with low CD56 expression (NKdim) targets cells characterized by modified, downregulated, or absent host major histocompatibility complex class 1 molecules expression. Instead, the subset with high CD56 expression (NKbright) produces immunoregulatory cytokines like TNF-α or IFN-γ. The activity of NK cells is finely tuned by the balance of signals provided by activating (CD16, NKG2C/D, NKp30, NKp44) or inhibitory (NKG2A, TIGIT, KIR3DL1, KIR3DL2) receptors. NK cells, and especially NKdim, are well represented in the lung where they play major effector and immunoregulatory roles to ensure the self-integrity of the organ (15).
The role played by NK cells in the context of NTM-immunity is unclear, despite it is possible to speculate a relevant function related to their ability to kill cells infected by intracellular pathogens and their relevant production of IFN-γ, a key cytokine involved in the control of mycobacterial infections (16). In 1991, Bermudez and Young demonstrated in an in-vitro model that NK cells have an important role in inducing the killing in macrophages infected with M. avium complex, both directly and by stimulation of macrophages through TNF-α (16). Moreover, in a mouse-model, Feng et al. showed that the depletion of NK cells through anti-NK antibodies leads to uncontrolled multiplication of M. avium complex, suggesting that NK cells are crucial for the control of the infection and their absence cannot easily be abrogated by the immune system (17). Similarly, Lai et al. observed that NK cell depletion is associated with increase in bacterial load and mortality in a mouse model of NTM-LD due to M. kansasi. NK cell depletion exacerbated NTM-induced pathogenesis by reducing macrophage phagocytosis, dendritic cell development, cytokine production, and lung granuloma formation. Similar pathological phenomena were observed in IFN-γ-deficient (IFN-γ-/-) mice following NTM infection and the adoptive transfer of wild-type NK cells into IFN-γ-/-mice considerably reduced NTM pathogenesis. Furthermore, the injection of recombinant IFN-γ prevented NTM-induced pathogenesis in IFN-γ-/-mice, overall suggesting that IFN-γ production by NK cells activates and shapes innate and adaptive immune responses against NTM (18). On this scenario, IFN-γ production appears as the most important contribution of NK cells against NTM infection. In a mouse model of severe combined immunodeficiency, the administration of antibodies able to abrogate NK-mediated cytolysis did not affect M. avium infection, whereas the neutralization of IFN-γ led to a reduction in macrophage activation and subsequent exacerbation of mycobacterial growth (19).
Overall, NK cells appear to be important players in the immune response against NTM in the lung, especially through the production of the immunomodulatory cytokine IFN-γ. The understanding of their role is still incomplete and newer and more comprehensive investigations are needed.
Innate Lymphoid Cells
Innate lymphoid cells (ILCs) are a group of innate immune lymphocytes, subclassified into three main classes originating from a common innate lymphoid progenitor cell (20).
Type 1 ILCs (ILC1) mediate a type 1 immune response through the production of IFN-γ and TNF-α (21). Although found in most human tissues, ILC1 are predominant in salivary glands, liver and the gastrointestinal tract, where they are supposed to activate against tumour cells and intracellular pathogens (22). Type 2 ILCs (ILC2) mediate type 2 immunity by the production of IL-4, IL-5 and IL-13 and have been associated with airway hyperactivity and allergic diseases (23). Type 3 ILCs (ILC3) are proposed to be equivalent to Th17 lymphocytes due to their production of IL-22 and/or IL-17 cytokines and are mainly involved in the gut microbiota-host homeostasis (24).
Experimental data have shown an involvement of ILCs in M. tuberculosis (Mtb) infection with a possible role in determining the outcome of the disease.
In a recent study, Corran et al. investigated local activation of lung resident ILCs in a murine model of Mtb infection. They reported that Mtb had a profound impact on ILC phenotype and induced a differentiation of ILC precursors toward an IFN-γ-producing subset (ILC1-like cells) (25).
Ardain et al. showed both depletion of ILC subgroups, especially ILC1 and ILC2, in the peripheral blood of patients with ongoing tuberculosis and their restoration after clearance of Mtb. The authors speculated that circulating ILCs are not lost from the blood due to cell death, but they migrate to the site of infection. In confirmation of this hypothesis, the authors demonstrated resident ILCs in lung biopsies of Mtb-infected participants using established markers. Consistently with these findings, ILC3 accumulation in the lungs of animal models was postulated as instrumental to massive macrophage recruitment in response to mycobacterial infection and mice lacking ILC3 showed reduced macrophage accumulation and poor infection control (26, 27).
Regarding NTM, no data are currently available about the role of ILC, even though is possible to postulate a lung recruitment and activation of them in the early stages of NTM-LD.
Unconventional T Cells
The family of unconventional T cells is composed of various subsets of innate-like effectors, which play a role in the protection against infectious non-self by mounting rapid immune responses and showing immunoregulatory capabilities. In particular, the subsets of unconventional T cells that have been better characterized are natural killer T (NKT) cells, mucosal-associated invariant T (MAIT) cells, and γδ T cells.
These subsets are defined by the expression of highly evolutionarily conserved semi-invariant αβ or γδ T-cell Receptors (TCR), which allow unconventional T cells to sense lipidic antigens, small molecules derived from microbial metabolism and other non-polymorphic molecules (28, 29). Furthermore, each unconventional TCR is able to recognize multiple antigenic specificities, aiming predominantly at pattern recognition of structures that are present across microbic species and are highly conserved (30). All unconventional T cells develop from common T cells precursors in the thymus, where they acquire the capability of moving to barrier tissues (28). Here, unconventional T cells can both mount immune responses based on the release of massive amounts of cytokines and stimulate the differentiation of CD4+ or CD8+ T-cell lineages (31).
Natural Killer T Cells
Natural killer T (NKT) cells constitute a subset of unconventional αβ T lymphocytes (32). Their peculiarity consists of the expression of a highly evolutionarily conserved αβ TCR, which is activated by the stimulation of lipidic and glycol-lipidic antigens presented by antigen-presenting cells (APC) through major histocompatibility complex (MHC) class I-like CD1d molecules (29).
Based on differences in the TCR structure, NKT cells are classified into two subsets. The NKT1 subset (also referred to as iNKT as in invariant NKT cells) is characterized by the expression of the semi-invariant TCR, which exposes Vα14-Jα18 chains paired with Vβ11 sequences in humans (31, 33). The NKT2 subset, on the other hand, express a broader TCR repertoire (34).
During their maturation, NKT cells undergo extensive expansion and acquire the capability of migrating towards barrier-like tissues, where it was demonstrated the majority of peripheral NKT cells reside (33, 35, 36). In contrast to NKT cells, conventional T cells respond to the stimulation by MHC class I and II molecules, which are highly polymorphic and, by random rearrangements of genes coding for TCRα and TCRβ chains, can express an impressing diversity, theoretically recognizing peptide antigens from any given microbe. Conventional T cells are capable of exerting this function at the expense of any antigen-specific clone being rare and therefore require clonal expansion before being able to generate a sufficiently large population of effector T cells (31).
On the other hand, NKT cells show a less diverse TCR, which responds to molecular structures that are shared by different pathogens, rather than to specific peptide antigens (37). As already mentioned, NKT cells already went through expansion when egressing the thymus and are then able to express a rapid “first-line” immune response to pathogens encountered in barrier tissues (33).
About the role of NKT cells in the defence against NTM no data is available. Nonetheless, evidence gathered studying Mtb can be probably exported due to the similarities between these pathogens. As stated above NKT cells have the ability to recognize lipidic and glycol-lipidic antigens presented by APC. For example, diacyl-glycerols (DAGs) and phosphatidyl-inositol-mannoside (PIM4), expressed on the surface of both Mtb and NTM, are known to be important NKT cell bacterial antigens (35). Mtb and NTM share many of these molecules in their structure. An example is lipoarabinomannan, a major structural component of cell membrane of mycobacteria as well as an important virulence factor for Mtb (38). Responses against antigens of this class have been described for NKT cells (39–43).
Clinical features have been linked with these responses, with the presence of NKT cells both in peripheral blood and bronchoalveolar lavage fluid, strongly activated by lipoarabinomannan, being associated with the ability to control Mtb infection in an ex-vivo study (44). Moreover, the expression of CD1d, the MHC molecules required for the presentation of antigens to NKT cells, has been described on macrophages and dendritic cells from Mtb granuloma, suggesting a crucial role of these lipid-specific T cells in the shaping of the immune response toward this pathogen (45). NKT cells express their effector functions by massive release of cytokines, particularly IL-4 and IFN-γ, the latter of which was described as central in the regulation of cell-mediated response toward NTM (35, 46). In addition to enhancing macrophage intracellular killing capabilities, IFN-γ and IL-12 were found to be important in stimulating the recruitment of CD8+ T cells and the differentiation of CD4+ T cells into T-helper 1 cells. These findings are consistent with the role of NKT in bridging innate and adaptative immune responses toward NTM (35).
Mucosal-Associated Invariant T Cells
Mucosal-associated invariant T (MAIT) cells are a subpopulation of innate-like T lymphocytes, which express an invariant TCRα chain and display effector-like characteristics in the immune response to several pathogens. More specifically, MAIT cells are defined by the expression of the iVα7.2- Jα33 TCRα chain, coupled with a limited number of Vβ chains (e.g. Vβ2 or Vβ13) (47–49). MAIT cells recognize vitamin B-based antigens presented by the non-polymorphic MHC class I related-1 molecule (MR1).
The first in vivo evidence of the antimicrobial role of MAIT cells came by Le Bourhis et al., which showed that MR1-deficient mice were exposed to increased bacterial burden in comparison to mice expressing wild type levels of MAIT cells when injected intra-peritoneally with E. coli and M. abscessus (50). It is worthy to notice that the stimulation of MAIT cells might also be independent of the interaction between MR1 and TCR and, in this case, is mediated by cytokines. The MR1-independent pathway of MAIT cells activation was found to be relevant in the MAIT cells-mediated response against viruses and NTM (51). To demonstrate that, in 2012, Chua co-cultured MAIT cells and BCG-infected macrophages in the presence of anti-MR1 antibodies and still observed MAIT cells-mediated response, resulting in the production of IFN-γ and IL17-A, and the consequent enhancement of intracellular killing of mycobacteria (52). Furthermore, in 2019 Suliman et al. confirmed that MAIT cells activation against BCG was largely mediated by both IL-12 and IL-18, and to a much lesser extent by MR1-TCR triggering (53).
Interestingly, lower frequencies of peripheral blood MAIT cells have been observed in patients with active M. avium complex pulmonary infection, and particularly with cavitary disease, when compared to healthy donors (54). These lower frequencies of peripheral blood MAIT cells were observed also during NTM-LD due to other mycobacterial species and were significantly correlated with several clinical and biochemical variables like sputum AFB positivity, extent of disease, haemoglobin levels, lymphocyte counts, CRP and ESR levels (48). The same study also described a reduced production of IFN-γ by MAIT cells from NTM patients, underlying the importance of this cytokine in the pathogenesis of NTM-LD. Finally, an exciting therapeutic role for MAIT cells has been suggested by Wakao et al. Employing a Sendai virus harbouring standard reprogramming factors, they were able to reprogram MAIT cells in to induced pluripotent stem cell (iPSC). Under T cell-permissive conditions, these iPSCs efficiently re-differentiate into MAIT-like lymphocytes that, after incubation with E. coli-fed monocytes, show enhanced production of a broad range of cytokines, including IFN-γ, (of which about a 20-fold increase was observed), IL-2, IL-17, IL-10 and TNF-α. Following adoptive transfer into immunocompromised mice, these derived MAIT cells migrated to the bone marrow, liver, spleen, and intestine and protected the recipient against Mycobacterium abscessus (55).
Gamma-Delta T Cells
The family of γδ T lymphocytes constitute a subset of unconventional T cells that express on their surface a peculiar invariant or semi-invariant TCR heterodimer, composed of one Vγ9 and one Vδ2 glycoproteic chains (56). This family of T cells is thought to be less frequent than canonical αβ T cells in peripheral blood, while taking their place preferentially in peripheral mucosal tissues, the skin and presumably the lung and the peritoneal cavity (57).
Here γδ T cells express effector capabilities by rapidly producing an array of cytokines, primarily IL-17. In these settings, IL-17 production is initiated by γδ T cells after recognition of poorly defined polymorphic structures, via their semi-invariant TCR, without the need for presentation by APCs. Some authors also demonstrated that stimulation with inflammatory cytokines, mainly IL-23 and IL-1 produced by bystander dendritic cells, is possible and does not require TCR engagement (58, 59). By doing so γδ T cells represent a crucial innate source of immunoregulatory cytokines in first-line response to pathogens. In this regard, it is ultimately not surprising that γδ responses to mycobacteria were described as early as 1989 (60). Of note, it was also reported more recently the possibility for γδ T cells to differentiate in secondary lymphoid organs to produce IL-17 after antigen-specific engagement of their TCR. This was described by Chien et al. in 2012 as an “inducible” IL-17 production by γδ T cells, as opposed to the “innate” IL-17 production we mentioned above (61). In addition, is well known the opportunity for γδ T cells to stimulate CD4+ Th1-dependent immunity: this is consistent with the notion of γδ T cells being one of the most complex components of the innate immune system, capable also to play a role in adaptive immunity (56).
The role of γδ T cells in NTM-LD is not clearly defined, due to a paucity of studies assessing their characteristics and dynamics. As stated above, γδ T cells are early recruited at the site of infection and produce cytokines that will shape the response against the pathogen. This was confirmed in a calf-model of Mycobacterium avium subspecies paratuberculosis infection, where γδ T cells were early recruited at the site of infection, their prevalence decreased during the infection, and produced significant amount of IFN-γ (62). In addition, in a ruminant model, early Mycobacterium bovis infection led to an increase in numbers of activated γδ T cells in both the lung and blood, without an apparent expansion of total circulating γδ T cells (63). In humans, γδ T cells are supposed to be the immune cytotypes devoted to respond mainly to fragments of mycobacteria. Indeed, in a study that compared the proliferation of distinct human T cell subsets in response to live, killed or soluble extracts of Mtb and M. avium complex, when soluble bacterial extracts were used as stimulators, a preferential proliferation of γδ T cells, expressing predominantly Vγ9+ and Vδ2+ T cell receptor chains, was recorded (64). Finally, ex-vivo studies performed among HIV patients with disseminated M. avium complex infections highlighted an expansion of γδ T cells in the peripheral blood (65, 66). These results must be interpreted with caution, considering that they were obtained in severely immunocompromised patients where the expansion of γδ T cells population can represent a deficiency in other cellular subsets.
Conventional T Cells and Immune Exhaustion
A crucial branch of adaptive immunity involved in the control of mycobacterial infections is represented by T lymphocytes, both CD8+ and CD4+. In the advanced stages of the human immunodeficiency virus (HIV) infection, severe and disseminated mycobacterial infections are a common manifestation. This is related to the complex impairment of the immune system due to HIV infection, involving CD4 T cells and myeloid cells such as macrophages. Particularly, the loss of appropriate and efficient CD4 T-cell responses associated with type 1 cytokine secretion (IFN-γ and TNF-α), is essential to controlling these intracellular pathogens (67). The importance of these pathways is corroborated by the association between defects in the IFN-γ pathway, due to mutations involving the IFN receptor, and NTM infection (68, 69).
Recently, another immune dysfunction regarding T lymphocytes has been associated with NTM infection. This condition is called immune exhaustion (IE) and it is defined by poor effector function (e.g. reduced IFN-γ production) and a sustained expression of inhibitory receptors (cytotoxic T-lymphocyte-associated protein 4 [CTLA-4], programmed cell death protein 1 [PD-1], and T-cell immuno- globulin domain and mucin domain 3 [TIM-3]), on the surface of T lymphocytes, which prevents optimal control of infections and tumours (70). IE is induced by several mechanisms like cell-to-cell signals including prolonged TCR engagement and co-stimulatory and/or co-inhibitory signals, soluble factors such as excessive levels of inflammatory cytokines and suppressive cytokines, and tissue and microenvironmental influences driven by changes in the expression levels of chemokine receptors, adhesion molecules and nutrient receptors (71). IE has been initially described in the setting of chronic viral infection, but it has been subsequently observed also in several tumours (72). Currently, innovative drugs called immune checkpoint inhibitors, able to re-establish a correct immune response toward the neoplastic antigen, are widely employed and are reshaping the landscape of cancer treatment with outstanding results (73).
A growing bulk of evidence is accumulating, highlighting how IE features can be identified in NTM-infected patients. Shu et al. showed that patients with M. avium complex-induced lung disease (MAC-LD) had a weak in vitro peripheral blood mononuclear cells (PBMC) response to NTM antigens, assessed in terms of IFN-γ production, and a higher expression of PD-1 and apoptosis markers on these cells. Interestingly, during antimycobacterial treatment, TNF-α and IFN-γ production by PBMC increased, supporting the notion of a relevant impact on T cell function by decreasing antigenic burden. Moreover, the partial block of PD-1 and the PD ligand with antagonizing antibodies significantly increased the cytokine production of IFN-γ and decreased the expression of apoptosis markers on T lymphocytes, highlighting how immune checkpoint pathways modulate T cell responses during MAC-LD (74). These results have been corroborated by Han et al., who highlighted an increase in PD-1, CTLA-4, and TIM-3 expression on CD4+ T cells in MAC-LD individuals after NTM-antigens stimulation (75) and Wang et al., who showed that in patients with NTM-LD, TIM-3 expression increased over CD4+ and CD8+ T cells and correlated with cell apoptosis and a reduction in specific cytokine production (IL-2, INF-γ, TNF-α) (76). In addition, Shu et al. found a higher number of PD-1+CD4+ lymphocytes and myeloid-derived suppressor cells in MAC-LD patients compared to controls and associated these alterations with a higher burden of mycobacterial bacilli, again stressing the importance of antigenic burden in the development of IE features (77). Finally, Lutzky et al. suggested that different phenotypes of IE can be present in patients with NTM-LD, related to the host factors associated with the development of the infection. Indeed, comparing cystic fibrosis patients and elderly patients with Mycobacterium abscessus complex infection to healthy controls, they highlighted a unique surface T cell phenotype with a marked global deficiency in TNFα production in the first group and a different phenotype expressing exhaustion markers and dysregulation in type 1 cytokine release in the latter (78). Table 1 provides a summary of the studies investigating conventional T cell immune exhaustion in NTM-LD.
Table 1 Summary of studies investigating conventional T cell immune exhaustion in NTM-LD.
An indirect additional element suggesting how IE is involved in NTM pathophysiology derives from several case reports describing patients who experienced recrudescence of NTM-LD while receiving cancer treatment with immune checkpoint inhibitors (79, 80). The hypothesis is that the immune system of these patients, under the impact of immune checkpoint inhibitors, mounted a vigorous response against a pre-existing but clinically silent NTM infection, leading to clinical manifestations and disease. This also suggests that the blockade of immune checkpoints might be carefully evaluated to avoid immunopathology in the host, deriving from a re-established optimal T cell function. This note of caution is supported by the recent data provided by Kaufmann et al., who showed that in a macaque animal model of Mtb infection the administration of anti-PD1 antibodies led to worse disease and higher granuloma bacterial loads compared to isotype control-treated monkeys. PD-1-mediated co-inhibition seems required for control of Mtb infection in macaques, perhaps due to its role in dampening detrimental inflammation as well as allowing for normal CD4 T cell responses (81).
Taken together, these data suggest that lymphocytes IE is recognizable during NTM-LD and that it has a crucial, yet not completely understood, role in the disease. Future research should address its possible employment as prognostic/predictive factor and the coadministration of immune checkpoint inhibitors with standard antibacterial therapy in order to achieve quickly and in a more stable manner the control of the disease (82).
Conclusions
A complete understanding of the lymphoid, cell-mediated, immune responses toward NTM causing pulmonary disease is far to be completed. Only a scarce number of studies have investigated the different cytotypes during this condition, and a large bulk of data are translated from study performed in animal models or involving the “cousin” pathogen Mtb. The lack of information about the interaction between NTM and the immune system actors analysed in our review probably hampers our capacity of understanding the pathophysiology leading to NTM-LD development and also the possibility of developing newer diagnostic and therapeutic tools.
The most promising area in this field appears T cell immune exhaustion. Measuring the expression of immune exhaustion markers on the surface of NTM-specific T cells or their production of immunomodulatory cytokines should be investigated as an instrument to quantify objectively the immune dysfunction of NTM-LD patients and to follow the response to the antimycobacterial therapy. Moreover, also the administration of immune checkpoint inhibitors, able to restore the function of exhausted T cells, should be investigated as adjuvant therapeutic approach during the treatment of NTM-LD. To avoid detrimental immunopathology deriving from a re-established optimal T cell response, it will be probably necessary to reduce the antigenic burden through canonical antimycobacterial treatment before the administration of immune checkpoint inhibitors.
The progress made by immunology in the last years, with the widespread availability of sophisticated instruments able to dissect the immune responses at the single-cell level, will probably help in understanding how we deal with NTM and why only a discrete subgroup of individuals develop the disease, a task indispensable considering the growing clinical relevance of NTM-LD and the paucity of diagnostic and therapeutic instruments.
Author Contributions
Conceptualization: AGr and AL. Data collection: IB and CA. Methodology: AGo, AL, AGr, and FB. Writing - original draft: IB, CA, and AL. Writing - review and editing: AGr, AL, IB, and CA. All authors read and approved the final manuscript.
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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References
1. Piersimoni C, Scarparo C. Extrapulmonary Infections Associated With Nontuberculous Mycobacteria in Immunocompetent Persons. Emerg Infect Dis (2009) 15(9):1351–8. doi: 10.3201/eid1509.081259
2. Winthrop KL, McNelley E, Kendall B, Marshall-Olson A, Morris C, Cassidy M, et al. Pulmonary Nontuberculous Mycobacterial Disease Prevalence and Clinical Features: An Emerging Public Health Disease. Am J Respir Crit Care Med (2010) 182(7):977–82. doi: 10.1164/rccm.201003-0503OC
3. Namkoong H, Kurashima A, Morimoto K, Hoshino Y, Hasegawa N, Ato M, et al. Epidemiology of Pulmonary Nontuberculous Mycobacterial Disease, Japan. Emerg Infect Dis (2016) 22(6):1116–7. doi: 10.3201/eid2206.151086
4. Wu UI, Holland SM. Host Susceptibility to non-Tuberculous Mycobacterial Infections. Lancet Infect Dis (2015) 15(8):968–80. doi: 10.1016/S1473-3099(15)00089-4
5. Van Ingen J, Hoefsloot W, Dekhuijzen PNR, Boeree MJ, Van Soolingen D. The Changing Pattern of Clinical Mycobacterium Avium Isolation in the Netherlands. Int J Tuberc Lung Dis (2010) 14(9):1176–80.
6. McShane PJ, Glassroth J. Pulmonary Disease Due to Nontuberculous Mycobacteria Current State and New Insights. Chest (2015) 148(6):1517–27. doi: 10.1378/chest.15-0458
7. Marras TK, Mendelson D, Marchand-Austin A, May K, Jamieson FB. Pulmonary Nontuberculous Mycobacterial Disease, Ontario, Canada, 1998-2010. Emerg Infect Dis (2013) 19(11):1889–91. doi: 10.3201/eid1911.130737
8. Van Ingen J, Boeree MJ, Van Soolingen D, Iseman MD, Heifets LB, Daley CL. Infection , Genetics and Evolution Are Phylogenetic Position , Virulence , Drug Susceptibility and In Vivo Response to Treatment in Mycobacteria Interrelated? Infect Genet Evol (2012) 12(4):832–7. doi: 10.1016/j.meegid.2011.10.006
9. Johnson MM, Odell JA. Nontuberculous Mycobacterial Pulmonary Infections. J Thorac Dis (2014) 6:210–20. doi: 10.3978/j.issn.2072-1439.2013.12.24
10. Sexton P, Harrison AC. Susceptibility to Nontuberculous Mycobacterial Lung Disease. Eur Respir J (2008) 31(6):1322–33. doi: 10.1183/09031936.00140007
11. Borger JG, Lau M, Hibbs ML. The Influence of Innate Lymphoid Cells and Unconventional T Cells in Chronic Inflammatory Lung Disease. Front Immunol (2019) 10(July):1–16. doi: 10.3389/fimmu.2019.01597
12. Cooper MA, Fehniger TA, Caligiuri MA. The Biology of Human Natural Killer-Cell Subsets. Trends Immunol (2001) 22(11):633–40. doi: 10.1016/S1471-4906(01)02060-9
13. Cook KD, Waggoner SN, Whitmire JK. NK Cells and Their Ability to Modulate T Cells During Virus Infections. Crit Rev Immunol (2014) 34(5):359–88. doi: 10.1615/CritRevImmunol.2014010604
14. Fauriat C, Long EO, Ljunggren H-G, Bryceson YT. Regulation of Human NK-Cell Cytokine and Chemokine Production by Target Cell Recognition. Blood (2016) 115(11):2167–77. doi: 10.1182/blood-2009-08-238469
15. Hervier B, Russick J, Cremer I, Vieillard V. NK Cells in the Human Lungs. Front Immunol (2019) 10(JUN):1–8. doi: 10.3389/fimmu.2019.01263
16. Bermudez LE, Young LS. Natural Killer Cell-Dependent Mycobacteriostatic and Mycobactericidal Activity in Human Macrophages. J Immunol (1991) 146(1):265–70.
17. Feng CG, Kaviratne M, Rothfuchs AG, Cheever A, Hieny S, Young HA, et al. NK Cell-Derived IFN-Gamma Differentially Regulates Innate Resistance and Neutrophil Response in T Cell-Deficient Hosts Infected With Mycobacterium Tuberculosis. J Immunol (2006) 177(10):7086–93. doi: 10.4049/jimmunol.177.10.7086
18. Lai H-C, Chang C-J, Lin C-S, Wu T-R, Hsu Y-J, Wu T-S, et al. NK Cell–Derived IFN-γ Protects Against Nontuberculous Mycobacterial Lung Infection. J Immunol (2018) 201(5):1478–90. doi: 10.4049/jimmunol.1800123
19. Florido M. The Cytolytic Activity of Natural Killer Cells is Not Involved in the Restriction of Mycobacterium Avium Growth. Int Immunol (2003) 15(8):895–901. doi: 10.1093/intimm/dxg089
20. Beck K, Ohno H, Satoh-Takayama N. Innate Lymphoid Cells: Important Regulators of Host–Bacteria Interaction for Border Defense. Microorganisms (2020) 8(9):1–22. doi: 10.3390/microorganisms8091342
21. Vivier E, Artis D, Colonna M, Diefenbach A, Di Santo JP, Eberl G, et al. Innate Lymphoid Cells: 10 Years on. Cell (2018) 174(5):1054–66. doi: 10.1016/j.cell.2018.07.017
22. Jiao Y, Huntington ND, Belz GT, Seillet C. Type 1 Innate Lymphoid Cell Biology: Lessons Learnt From Natural Killer Cells. Front Immunol (2016) 7:426. doi: 10.3389/fimmu.2016.00426
23. Neill DR, Wong SH, Bellosi A, Flynn RJ, Daly M, Langford TKA, et al. LETTERS Nuocytes Represent a New Innate Effector Leukocyte That Mediates Type-2 Immunity. Nature (2010) 464(7293):1367–70. doi: 10.1038/nature08900
24. Akdis CA, Arkwright PD, Brüggen M-C, Busse W, Gadina M, Guttman-Yassky E, et al. Type 2 Immunity in the Skin and Lungs. Kabashima (2020) 10:9. doi: 10.1111/all.14318
25. Corral D, Charton A, Krauss MZ, Blanquart E, Levillain F, Lefrançais E, et al. ILC Precursors Differentiate Into Metabolically Distinct ILC1-Like Cells During Mycobacterium Tuberculosis Infection. Cell Rep (2022) 39(3):110715. doi: 10.1016/j.celrep.2022.110715
26. Ardain A, Domingo-Gonzalez R, Das S, Kazer SW, Howard NC, Singh A, et al. Group 3 Innate Lymphoid Cells Mediate Early Protective Immunity Against Tuberculosis. Nature (2019) 570(7762):528–32. doi: 10.1038/s41586-019-1276-2
27. Steigler P, Daniels NJ, McCulloch TR, Ryder BM, Sandford SK, Kirman JR. BCG Vaccination Drives Accumulation and Effector Function of Innate Lymphoid Cells in Murine Lungs. Immunol Cell Biol (2018) 96:4:379–89. doi: 10.1111/imcb.12007
28. Pellicci DG, Koay HF, Berzins SP. Thymic Development of Unconventional T Cells: How NKT Cells, MAIT Cells and γδ T Cells Emerge. Nat Rev Immunol (2020) 20(12):756–70. doi: 10.1038/s41577-020-0345-y
29. Constantinides MG, Bendelac A. Transcriptional Regulation of the NKT Cell Lineage. Curr Opin Immunol (2013) 25(2):161–7. doi: 10.1016/j.coi.2013.01.003
30. Mayassi T, Barreiro LB, Rossjohn J, Jabri B. A Multilayered Immune System Through the Lens of Unconventional T Cells. Nature (2021) 595(7868):501–10.50. doi: 10.1038/s41586-021-03578-0
31. Godfrey DI, Uldrich AP, Mccluskey J, Rossjohn J, Moody DB. The Burgeoning Family of Unconventional T Cells. Nat Immunol (2015) 16(11):1114–23. doi: 10.1038/ni.3298
32. Godfrey DI, Stankovic S, Baxter AG. Raising the NKT Cell Family. Nat Immunol (2010) 11(3):197–206. doi: 10.1038/ni.1841
33. Bendelac A, Savage PB, Teyton L. The Biology of NKT Cells. Annu Rev Immunol (2007) 25:297–336. doi: 10.1146/annurev.immunol.25.022106.141711
34. Dasgupta S, Kumar V. Type II NKT Cells: A Distinct CD1d-Restricted Immune Regulatory NKT Cell Subset. Immunogenetics (2016) 68(8):665–76. doi: 10.1007/s00251-016-0930-1
35. Vogt S, Mattner J, Balboa L, Almeida C, De A, Pulido M. NKT Cells Contribute to the Control of Microbial Infections. Front Cell Infect Microbiol (2021) 11:718350. doi: 10.3389/fcimb.2021.718350
36. Geissmann F, Cameron TO, Sidobre S, Manlongat N, Kronenberg M, Briskin MJ, et al. Intravascular Immune Surveillance by CXCR6 Þ NKT Cells Patrolling Liver Sinusoids. PLoS Biol 2005 3(4):e113. doi: 10.1371/journal.pbio.0030113
37. Abe Y, Fukushima K, Hosono Y, Matsumoto Y, Motooka D, Ose N, et al. Molecular Sciences Host Immune Response and Novel Diagnostic Approach to NTM Infections. Int J Mol Sci 2020 21(12):4351. doi: 10.3390/ijms21124351
38. Guerardel Y, Maes E, Elass E, Leroy Y, Timmeran P, Besra GS, et al. Structural Study of Lipomannan and Lipoarabinomannan From Mycobacterium Chelonae. Presence of Unusual Components With Alpha 1,3-Mannopyranose Side Chains. J Biol Chem (2002) 277(34):30635–48. doi: 10.1074/jbc.M204398200
39. Cernadas M, Cavallari M, Watts G, Mori L, De Libero G, Brenner MB. Early Recycling Compartment Trafficking of CD1a Is Essential for Its Intersection and Presentation of Lipid Antigens. J Immunol (2010) 184(3):1235–41. doi: 10.4049/jimmunol.0804140
40. Cheng JMH, Liu L, Pellicci DG, Reddiex SJJ, Cotton RN, Cheng TY, et al. Total Synthesis of Mycobacterium Tuberculosis Dideoxymycobactin-838 and Stereoisomers: Diverse CD1a-Restricted T Cells Display a Common Hierarchy of Lipopeptide Recognition. Chem A Eur J (2017) 23(7):1694–701. doi: 10.1002/chem.201605287
41. Sieling APA, Chatterjee D, Porcelli SA, Prigozy TI, Mazzaccaro RJ, Bloom BR, et al. CD1-Restricted T Cell Recognition of Microbial Lipoglycan Antigens Published by : American Association for the Advancement of Science Stable URL : Http://Www.Jstor.Org/Stable/2888446 REFERENCES Linked References are Available on JSTOR for This Article : Y. Sci (80 ) (2016) 269(5221):227–30. doi: 10.1126/science.7542404
42. Gilleron M, Stenger S, Mazorra Z, Wittke F, Mariotti S, Böhmer G, et al. Diacylated Sulfoglycolipids Are Novel Mycobacterial Antigens Stimulating CD1-Restricted T Cells During Infection With Mycobacterium Tuberculosis. J Exp Med (2004) 199(5):649–59. doi: 10.1084/jem.20031097
43. Layre E, Collmann A, Bastian M, Mariotti S, Czaplicki J, Prandi J, et al. Mycolic Acids Constitute a Scaffold for Mycobacterial Lipid Antigens Stimulating CD1-Restricted T Cells. Chem Biol (2009) 16(1):82–92. doi: 10.1016/j.chembiol.2008.11.008
44. Busch M, Herzmann C, Kallert S, Zimmermann A, Hofer C, Mayer D, et al. Lipoarabinomannan-Responsive Polycytotoxic T Cells Are Associated With Protection in Human Tuberculosis. Am J Respir Crit Care Med(2016) 194(3):345–55. doi: 10.1164/rccm.201509-1746OC
45. Chancellor A, Tocheva AS, Cave-Ayland C, Tezera L, White A, Al Dulayymi JR, et al. CD1b-Restricted GEM T Cell Responses are Modulated by Mycobacterium Tuberculosis Mycolic Acid Meromycolate Chains. Proc Natl Acad Sci U S A (2017) 114(51):E10956–64. doi: 10.1073/pnas.1708252114
46. Savage AK, Constantinides MG, Han J, Picard D, Martin E, Li B, et al. The Transcription Factor PLZF Directs the Effector Program of the NKT Cell Lineage. Immunity (2008) 29(3):391–403. doi: 10.1016/j.immuni.2008.07.011
47. Martin E, Treiner E, Duban L, Guerri L, Lè Ne Laude H, Cile Toly C, et al. Stepwise Development of MAIT Cells in Mouse and Human. PLoS Biol 2009 7(3):e54. doi: 10.1371/journal.pbio.1000054
48. Kwon YS, Cho YN, Kim MJ, Jin HM, Jung HJ, Kang JH, et al. Mucosal-Associated Invariant T Cells are Numerically and Functionally Deficient in Patients With Mycobacterial Infection and Reflect Disease Activity. Tuberculosis (2015) 95(3):267–74. doi: 10.1016/j.tube.2015.03.004
49. Haeryfar SMM, Sztein MB, Lantz O, Cerundolo V, Howson LJ, Salio M. MR1-Restricted Mucosal-Associated Invariant T Cells and Their Activation During Infectious Diseases. Front Immunol 2015 6:303. doi: 10.3389/fimmu.2015.00303 (2015).
50. Le Bourhis L, Martin E, Péguillet I, Guihot A, Froux N, Coré M, et al. Antimicrobial Activity of Mucosal-Associated Invariant T Cells. Nat Immunol (2010) 11(8):701–8. doi: 10.1038/ni.1890
51. Van Wilgenburg B, Scherwitzl I, Hutchinson EC, Leng T, Kurioka A, Kulicke C, et al. MAIT Cells are Activated During Human Viral Infections. Nat Commun (2016) 7:11653. doi: 10.1038/ncomms11653
52. Chua WJ, Truscott SM, Eickhoff CS, Blazevic A, Hoft DF, Hansen TH. Polyclonal Mucosa-Associated Invariant T Cells Have Unique Innate Functions in Bacterial Infection. Infect Immun (2012) 80(9):3256–67. doi: 10.1128/IAI.00279-12
53. Suliman S, Murphy M, Musvosvi M, Gela A, Meermeier EW, Geldenhuys H, et al. MR1-Independent Activation of Human Mucosal-Associated Invariant T Cells by Mycobacteria. J Immunol (2019) 203(11):2917–27. doi: 10.4049/jimmunol.1900674
54. Napier RJ, Henkle E, Winthrop KL, Lewinsohn DM. The Association of Peripheral Blood Mucosal-Associated Invariant T-Cell Cells in Patients With COPD and NTM. Am J Respir Crit Care Med (2016) 193:A7500.
55. Wakao H, Yoshikiyo K, Koshimizu U, Furukawa T, Enomoto K, Matsunaga T, et al. Expansion of Functional Human Mucosal-Associated Invariant T Cells via Reprogramming to Pluripotency and Redifferentiation. Cell Stem Cell (2013) 12(5):546–58. doi: 10.1016/j.stem.2013.03.001
56. Born WK, Reardon CL, O’Brien RL. The Function of γδ T Cells in Innate Immunity. Curr Opin Immunol (2006) 18(1):31–8. doi: 10.1016/j.coi.2005.11.007
57. Holtmeier W, Kabelitz D. γδ T Cells Link Innate and Adaptive. Chem Immunol Allergy (2005) 86:151–83. doi: 10.1159/000086659
58. Zeng X, Wei YL, Huang J, Newell EW, Yu H, Kidd BA, et al. γδ T Cells Recognize a Microbial Encoded B Cell Antigen to Initiate a Rapid Antigen-Specific Interleukin-17 Response. Immunity (2012) 37(3):524–34. doi: 10.1016/j.immuni.2012.06.011
59. Kapsenberg ML. Gammadelta T Cell Receptors Without a Job. Immunity (2009) 31(2):181–3. doi: 10.1016/j.immuni.2009.08.004
60. O’Brien RL, Happ MP, Dallas A, Palmer E, Kubo R, Born WK. Stimulation of a Major Subset of Lymphocytes Expressing T Cell Receptor γδ by an Antigen Derived From Mycobacterium Tuberculosis. Cell (1989) 57(4):667–74. doi: 10.1016/0092-8674(89)90135-9
61. Chien Yh, Zeng X, Prinz I. The Natural and the Inducible: Interleukin (IL)-17-Producing γδ T Cells. Trends Immunol (2013) 34(4):151–4. doi: 10.1016/j.it.2012.11.004
62. Plattner BL, Huffman EL, Hostetter JM. Gamma-Delta T-Cell Responses During Subcutaneous Mycobacterium Avium Subspecies Paratuberculosis Challenge in Sensitized or Naıve Calves Using Matrix Biopolymers. Vet Pathol (2012) 50(4):630–7. doi: 10.1177/0300985812463404
63. Kennedy HE, Welsh MD, Bryson DG, Cassidy JP, Forster FI, Howard CJ, et al. Modulation of Immune Responses to Mycobacterium Bovis in Cattle Depleted of WC1+ γδ T Cells. Infect Immun (2002) 70(3):1488–500. doi: 10.1128/IAI.70.3.1488-1500.2002
64. Esin S, Batoni G, Kallenius G, Kallenius K, Gaines H, Campa M, et al. Proliferation of Distinct Human T Cell Subsets in Response to Live, Killed or Soluble Extracts of Mycobacterium Tuberculosis and Myco. Avium. Clin Exp Immunol 1996 104(3):419–25. doi: 10.1046/j.1365-2249.1996.d01-691.x
65. Pellegrin J-L, Taupin J-L, Dupon M, Ragnaud J-M, Maugein J, Bonneville M, et al. γδ T Cells Increase With Mycobacterium Avium Complex Infection But Not With Tuberculosis in AIDS Patients. Int Immunol (1999) 11(9):1475–8. doi: 10.1093/intimm/11.9.1475
66. Wendland T, Herren S, Yawalkar N, Cerny A, Pichler WJ. Strong αβ and γδ TCR Response in a Patient With Disseminated Mycobacterium Avium Infection and Lack of NK Cells and Monocytopenia. Immunol Lett (2000) 72(2):75–82. doi: 10.1016/S0165-2478(00)00169-3
67. Amelio P, Portevin D, Hella J, Reither K, Kamwela L, Lweno O, et al. HIV Infection Functionally Impairs Mycobacterium Tuberculosis-Specific CD4 and CD8 T-Cell Responses. J Virol (2019) 93(5):e01728–18. doi: 10.1128/JVI.01728-18
68. Remus N, Reichenbach J, Picard C, Rietschel C, Wood P, Lammas D, et al. Impaired Interferon Gamma-Mediated Immunity and Susceptibility to Mycobacterial Infection in Childhood. Pediatr Res (2001) 50(1):8–13. doi: 10.1203/00006450-200107000-00005
69. Hwang JH, Koh WJ, Kim EJ, Kang EH, Suh GY, Chung MP, et al. Partial Interferon-γ Receptor Deficiency and non-Tuberculous Mycobacterial Lung Disease. Tuberculosis (2006) 86(5):382–5. doi: 10.1016/j.tube.2005.11.002
71. Wherry EJ, Kurachi M. Molecular and Cellular Insights Into T Cell Exhaustion. Nat Rev Immunol (2015) 15(8):486–99. doi: 10.1038/nri3862
72. Castelli V, Lombardi A, Palomba E, Bozzi G, Ungaro R, Alagna L, et al. Immune Checkpoint Inhibitors in People Living With HIV/AIDS: Facts and Controversies. Cells (2021) 10(9):2227. doi: 10.3390/cells10092227
73. Lombardi A, Mondelli MU. Review Article: Immune Checkpoint Inhibitors and the Liver, From Therapeutic Efficacy to Side Effects. Aliment Pharmacol Ther (2019) 50(8):872–84. doi: 10.1111/apt.15449
74. Shu C-C, Wang J-Y, Wu M-F, Wu C-T, Lai H-C, Lee L-N, et al. Attenuation of Lymphocyte Immune Responses During Mycobacterium Avium Complex-Induced Lung Disease Due to Increasing Expression of Programmed Death-1 on Lymphocytes. Sci Rep (2017) 7(1):42004. doi: 10.1038/srep42004
75. Han SA, Ko Y, Shin SJ, Jhun BW. Characteristics of Circulating CD4+ T Cell Subsets in Patients With Mycobacterium Avium Complex Pulmonary Disease. J Clin Med (2020) 9(5):1331. doi: 10.3390/jcm9051331
76. Wang PH, Wu MF, Hsu CY, Pan SW, Shu CC, Cheng SL. The Trend of TIM3 Expression on T Cells in Patients With Nontuberculous Mycobacterial Lung Disease: From Immune Cell Dysfunction to Clinical Severity. Front Immunol (2021) 12(November):1–9. doi: 10.3389/fimmu.2021.738056
77. Shu C-C, Pan S-W, Feng J-Y, Wang J-Y, Chan Y-J, Yu C-J, et al. The Clinical Significance of Programmed Death-1, Regulatory T Cells and Myeloid Derived Suppressor Cells in Patients With Nontuberculous Mycobacteria-Lung Disease. J Clin Med (2019) 8(5):736. doi: 10.3390/jcm8050736
78. Lutzky VP, Ratnatunga CN, Smith DJ, Kupz A, Doolan DL, Reid DW, et al. Anomalies in T Cell Function are Associated With Individuals at Risk of Mycobacterium Abscessus Complex Infection. Front Immunol (2018) 9(JUN). doi: 10.3389/fimmu.2018.01319
79. Fujita K, Yamamoto Y, Kanai O, Okamura M, Nakatani K, Mio T. Development of Mycobacterium Avium Complex Lung Disease in Patients With Lung Cancer on Immune Checkpoint Inhibitors. Open Forum Infect Dis (2020) 7(3):ofaa067. doi: 10.1093/ofid/ofaa067
80. Okamoto M, Kim YH, Ouchi A, Yamaoka T, Iwamoto N, Iwatsubo S, et al. Exacerbation of Nontuberculous Mycobacterial Pulmonary Disease in a Patient With Advanced non-Small-Cell Lung Cancer During Treatment With PD-1 Inhibitor and Chemotherapy. Respir Med Case Rep (2021) 34:101529. doi: 10.1016/j.rmcr.2021.101529
81. Kauffman KD, Sakai S, Lora NE, Namasivayam S, Baker PJ, Kamenyeva O, et al. PD-1 Blockade Exacerbates Mycobacterium Tuberculosis Infection in Rhesus Macaques. Sci Immunol (2021) 6(55):eabf3861. doi: 10.1126/sciimmunol.abf3861
Keywords: non-tuberculous mycobacteria, adaptive immunity, immune checkpoint inhibitors, immune exhaustion, immune dysfunction
Citation: Gramegna A, Lombardi A, Lorè NI, Amati F, Barone I, Azzarà C, Cirillo D, Aliberti S, Gori A and Blasi F (2022) Innate and Adaptive Lymphocytes in Non-Tuberculous Mycobacteria Lung Disease: A Review. Front. Immunol. 13:927049. doi: 10.3389/fimmu.2022.927049
Received: 23 April 2022; Accepted: 31 May 2022;
Published: 28 June 2022.
Edited by:
Maryam Dadar, Razi Vaccine and Serum Research Institute, IranReviewed by:
Pia Steigler, University of Cape Town, South AfricaBahman Mirzaei, Zanjan University of Medical Sciences, Iran
Copyright © 2022 Gramegna, Lombardi, Lorè, Amati, Barone, Azzarà, Cirillo, Aliberti, Gori and Blasi. 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: Andrea Gramegna, andrea.gramegna@unimi.it
†These authors have contributed equally to this work