Your new experience awaits. Try the new design now and help us make it even better

OPINION article

Front. Immunol., 01 December 2025

Sec. Autoimmune and Autoinflammatory Disorders : Autoimmune Disorders

Volume 16 - 2025 | https://doi.org/10.3389/fimmu.2025.1718417

This article is part of the Research TopicNovel therapeutic targets in autoimmune diseases: intestinal microbiota and adaptive immunity regulationView all 6 articles

Targeting the role played by microbiota and adaptive immunity within autoimmune disease complexity

Anders Bredberg,*Anders Bredberg1,2*Katrine R. NermoKatrine R. Nermo1Gunnel HenrikssonGunnel Henriksson2
  • 1Department of Medical Microbiology, Innlandet Hospital Trust, Lillehammer, Norway
  • 2Department of Laboratory Medicine, Lund University, Lund, Sweden

Introduction

All human individuals are constantly exposed to microbes including their own microbiota, and a need for defenses against this threat including an immune system and all the epithelial barriers located at body sites bordering the environment seems obvious. At the same time, the advantage conferred by the extensive microbiota at these barriers is well-documented, and especially so for the largest of them, the intestinal microbiota (1). This includes the requirement during childhood of microbiota for normal development of the immune system. The intestinal barrier is not only a mechanical defense line but also serves as an advanced physiologic defense regulator balancing costs of the defense against its benefits. The barrier contains, in addition to epithelial cells, an intricate network of immune cells dominated by a special type of T cells and of neurons constituting the enteric nervous system (ENS). It is thus not surprising that the intestinal microbiota and barrier influence autoimmune disease (27). The aim of this opinion article is to make clear the vast scale of autoimmune disease complexity, and it argues that today’s focus on targeting specific activating components of adaptive immunity should be complemented with other approaches involving not the least the intestinal microbiota.

The vast scale of autoimmune disease complexity

For a long time, the pathogenesis of autoimmune diseases was considered to be largely limited to malfunctioning adaptive immunity (8, 9). More lately, a more complex picture has emerged along with the recognition of the danger theory of immunity and recent insights into how the immune system interacts with, e.g., the central nervous system (CNS) and the microbiota (1018). The presence within each of these complexity components of opposing stimulating and inhibitory activities eventually forming an optimum balance point contributes to the vast scale of this complexity of the disease pathogenesis. One example illustrating the wide repertoire of factors involved in the complexity is the anti-DNA autoantibodies typical for SLE penetrating into cell nuclei and inhibiting the DNA damage response (DDR) defense type (19, 20). Another example of the complexity of microbiota and adaptive immunity interactions is how bacteria escaping from the intestinal microbiota into the blood can elicit a cascade of defense events starting with production of inflammatory cytokines which, if left unchecked by regulatory activities, may cause septic shock. This defense involves the ‘inflammatory reflex’ initiated by bacterial endotoxin stimulating the vagal nerve and ending with inhibition of splenic macrophage cytokine secretion. The mechanism of the neurotransmitter acetylcholine (Ach) within this reflex was originally thought to be direct binding to macrophages, but activation by the splenic nerve of Ach-secreting CD4+ T cells is now considered to be more important (21, 22).

The critical role for many diseases (not only the autoimmune) played by the intestinal microbiota within the complex defense against dangers has been documented in detail for checkpoint immune therapy in cancer (23, 24). A ‘beneficial’ microbiota composition is a strong prognostic indicator that the therapy can cure cancer by pushing the physiological balance point towards more activity, releasing cytotoxic T cells from blockade exerted by Treg cells. This benefit is often accompanied by the cost of autoimmune adverse events; the pathologic balance point in most autoimmune diseases is characterized by too much activation and too little inhibition. There is preliminary evidence indicating a clinical potential against autoimmune diseases of pushing this balance in the opposite direction, including a nanomedicine-based novel tool (2527). A critical role is supported also by some integrated omics data and a mechanistic mathematics-based approach documenting, for example, a bidirectional feedback interaction between intestinal microbiota and intraepithelial T cells (28, 29). This complex interplay involves modulation of microbiota composition by both adaptive immune cells and diet.

To summarize this outline on autoimmune disease complexity: it seeks to illustrate the overall message of this opinion article: complex regulatory activities within a network addressing commonly occurring dangers may cause autoimmune disease, and therapeutic modulation of this systemic network has a potential to be curative.

Sjögren’s disease illustrates autoimmune disease complexity

Sjögren’s disease (SjD) can serve to illustrate the vast complexity of autoimmune disease because there is ample evidence that the patients display over-reactivity of a complex defense network including the immune system, the DDR, the nervous system and the gastrointestinal tract (8, 3033). Immune system and DDR abnormalities overlap; the V(D)J recombinase complex participates in both repair of DNA damage and the DNA recombination needed for maturation of the adaptive immune system (30). Two of its components, Ku protein and DNA-dependent protein kinase catalytic subunit (DNA-PKcs), are targets of autoantibody formation and display increased activity in SjD cells (30).

Gastrointestinal abnormalities in SjD include dysbiosis of the microbiota and increased intestinal inflammation and permeability of the intestinal barrier (i.e., ‘gut leakage’) (2, 33). In order to further illustrate autoimmune disease complexity, in multiple sclerosis (MS), where the autoimmunity is considered to be limited to the CNS, there are no signs of intestinal inflammation, but MS shares with SjD both dysbiosis and a leaky gut. Thus, in MS the intestinal pathology may be secondary to CNS-mediated regulation of the ENS while in SjD it may be mediated by autoimmune destruction of intestinal barrier exocrine cells (33).

There is emerging evidence suggesting the possibility that anti-tumor defense can cause SjD and other forms of autoimmune disease (34). Some scleroderma patients have an antinuclear autoantibody to RNA polymerase III subunit C1 (RPC1) and in addition a cancer harboring a mutation in the RPCI POLR3A gene. This autoantibody reacts similarly with the mutant and the wild type form of the RPC1 protein, suggesting that the tumor triggered the patient’s autoimmune disease. It can be speculated that scleroderma patients with no clinical history of cancer may have benefitted from a stress response strong enough to eliminate a preclinical tumor (but at the same time causing this autoimmune disease). There is an odd observation indicating the relevance of this type of stress response in SjD; there is a markedly reduced incidence of some female cancer types including breast cancer in this the most women-dominated of all autoimmune diseases (35).

Consequences of complexity for therapeutic modulation of intestinal microbiota and adaptive immunity

Treatment of autoimmune diseases spans a wide spectrum from molecule-specific targeting drugs to broadly acting glucocorticoids suppressing a number of physiologic processes (36). These regimens bring significant benefit by reducing morbidity and increasing life expectancy. Although our understanding of disease mechanism has greatly advanced, current therapy still emanates to a large extent from an old era, and most patients cannot be cured. This forms a parallel with another common disease, namely cancer, and autoimmune disease and cancer shares some important components of disease complexity: adaptive immunity and the intestinal microbiota (23, 37).

A basic feature of the complexity may be the regulation of the body’s attempt to restore homeostasis in the face of threats (38). Observations on autoimmune complexity indicate that it has much in common with how complexity is viewed within systems biology and chaos theory (3941). Systems biology assumes that the whole of complexity is more than the sum of its components. A complicated system or problem like a human-made machine, e.g., a PET scanner, typically contains many components, with well-known properties and interactions. Stimulating or blocking a component has a predictable and reproducible effect. If disease complexity were such a problem, the current targeting strategy would be ideal. In contrast, complexity is ‘dynamic’ (meaning that it is continuously modified in many dimensions), and it is difficult to predict the effect resulting from manipulation of a specific component. Nevertheless, chaos theory suggests that many complex but seemingly stochastic biological phenomena follow some simple rules that allow for predictability of the consequences of such manipulation. If we find that our present view on autoimmune disease fits with this description of complexity, then it is not surprising that targeting a single or a few molecules will seldom lead to a cure.

To summarize this reflection on complexity and the current targeting approach to autoimmune disease: while the omics revolution most probably will continue to provide substantial clinical benefits, the vast scale of the complexity may turn out to be an unsurmountable challenge if we aim at a curative effect.

Suggestions for future work on intestinal microbiota and adaptive immunity

The frontline of autoimmune disease therapy centers on inhibition of stimulatory targets within the immune system (36). However, it may be wise to consider that such targeting of specific network components may not be ideal for solving a complex problem. It might be worthwhile to explore the potential of activating the inhibitory arm of physiological stress responses or to look for molecules with an overarching regulatory role (12, 16, 28, 29). A predictable as well as precise effect, possibly conferring an extraordinarily sustained disease remission, by disabling the CD40 ligand (CD40L) (having nonredundant and far-reaching immunoregulatory effects) has recently been documented in SLE, SjD and MS patients (42). Releasing immunosuppressive Treg cells from brakes imposed by stress response regulation has been attempted (12) as well as a variant of checkpoint immunotherapy activating (instead of blocking) the inhibitory T cell surface PD-1 molecule (2527). Teplizumab targeting the pan T cell CD3 surface molecule is documented to postpone the diagnosis of diabetes mellitus type 1 in high-risk children (43). The mechanism has been found to be regulatory, in the sense that it involves enhancing the suppressive T reg subset and exhaustion of activated autoimmune CD8+ T cells.

Another way to meet the challenge posed by complexity may be to combine several drugs targeting different stress response systems known to be involved in autoimmune disease.

There is a trend in the literature to explore the therapeutical potential of modulating the intestinal microbiota and the CNS, instead of only the immune system (5, 1318). There is evidence pointing to the microbiota’s bidirectional feedback crosstalk with T cells, and to more complex contacts with nerve cells and metabolism (44, 45). One way to indirectly modulate the intestinal microbiota may be to reprogram the complex CNS – adaptive immunity – microbiota interplay (44) by means of targeting the Ach receptor on T cells (22). Along the same line of reasoning, a single targeting agent could be employed to modulate two major stress response types. One candidate such target is DNA-PKcs being part of both the immune system and the DDR. This candidate is supported by some recent findings. The first is on Graves’ disease and Hashímoto’s thyroiditis suggested to be caused by a stress response type named ‘autoimmune surveillance of hypersecreting mutants’ with T cells attacking somatically mutated thyroid cells and helping B cells to produce the pathogenic autoantibodies (46). Furthermore, it has been shown that an elevated level of DNA damage is a normal part of the exceptionally rapid proliferation rate displayed by T cells (47).

The architecture and regulating function of the intestinal barrier seems to be an important meeting point between the microbiota and host responses (48). Because of this complexity, it may be worthwhile to make an attempt to move beyond the currently dominating targeting strategy towards systemic modulation. There is preliminary data supporting that this is not merely a speculative idea. A novel method based on single cell integrated omics results has documented interactions between adaptive immunity and other cells in the intestinal barrier as well as throughout multiple organs (49, 50). The authors of one of these reports argue that intestinal epithelial lymphocytes therefore ‘represent intriguing but underexamined therapeutic targets for inflammatory diseases ….’ (49). Interestingly, a future research field may be to look for potential benefits conferred by well-known common drugs prescribed for other diseases than the autoimmune and influencing multiple organs and systemic factors such as hormones and metabolism (51).

The challenges with microbiota therapy can be illustrated by findings that each person has her own microbial ‘signature’, which is as specific as her fingerprint, and that the definition of a beneficial signature and of dysbiosis may vary between persons and types of autoimmune diseases (1, 9, 52, 53). Several ways to modulate the microbiota have been outlined, encompassing not only the transfer of feces but also diet and orally taken species thought to act beneficially (probiotics) (54). Safety and ethics aspects of treatments involving modulation of a patient’s intestinal microbiota’s personal ‘signature’ must be addressed. They were recently discussed in a report demonstrating unintended and persistent alterations of metabolism and immune regulation (15). In addition, a review on fecal microbiota transplantation concludes that the methodology needs to be improved due to rare but serious adverse events linked to infection caused by an intestinal microbiota species (55). An intriguing idea, while perhaps hard to realize, but counteracting many safety and ethics concerns, is for every healthy person to submit a fecal sample for a detailed metagenomic sequencing mapping. In the case a patient becomes diagnosed with an autoimmune disease, the intestinal microbiota could then be therapeutically modified in the direction of the patient’s known healthy signature. It is just possible that the beneficial intestinal microbiota is capable to persuade the complex stress response to return to the healthy balance point and thus achieve the cure.

Conclusions

The vast scale of autoimmune disease complexity and its implications for development of future therapies are described. The great potential of modulating the intestinal microbiota’s crosstalk with adaptive immunity as well as other systemic factors such as the CNS and the DDR is outlined. It is hypothesized that alternatives to a targeting strategy, taking into consideration experiences within systems biology, might bring a curative effect.

Author contributions

AB: Conceptualization, Writing – original draft, Writing – review & editing. KN: Writing – review & editing. GH: Writing – review & editing.

Funding

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

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.

Generative AI statement

The author(s) declare that no Generative AI was used in the creation of this manuscript.

Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.

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.

References

1. Hou K, Wu Z-X, Chen X-Y, Wang J-Q, Zhang D, Xiao C, et al. Microbiota in health and diseases. Signal Transduct Target Ther. (2022) 7:135. doi: 10.1038/s41392-022-00974-4

PubMed Abstract | Crossref Full Text | Google Scholar

2. Christovich A and Luo XM. Gut microbiota, leaky gut, and autoimmune diseases. Front Immunol. (2022) 13:946248. doi: 10.3389/fimmu.2022.946248

PubMed Abstract | Crossref Full Text | Google Scholar

3. Wang Y, Zhang W, Doherty M, Zhang Y, Xie H, Li E, et al. Gut dysbiosis in rheumatic diseases: A systematic review and meta-analysis of 92 observational studies. eBio Med. (2022) 80:104055. doi: 10.1016/j.ebiom.2022.104055

PubMed Abstract | Crossref Full Text | Google Scholar

4. Mousa WK, Chehadeh F, and Husband DS. Microbial dysbiosis in the gut drives systemic autoimmune diseases. Front Immunol. (2022) 13:906258. doi: 10.3389/fimmu.2022.906258

PubMed Abstract | Crossref Full Text | Google Scholar

5. Wang X, Yuan W, Yang C, Wang Z, Zhang J, Xu D, et al. Emerging role of gut microbiota in autoimmune diseases. Front Immunol. (2024) 15:1365554. doi: 10.3389/fimmu.2024.1365554

PubMed Abstract | Crossref Full Text | Google Scholar

6. Bhutta NK, Xu X, Jian C, Wang Y, Liu Y, Sun J, et al. Gut microbiota mediated T cells regulation and autoimmune diseases. Front Microbiol. (2024) 15:1477187. doi: 10.3389/fmicb.2024.1477187

PubMed Abstract | Crossref Full Text | Google Scholar

7. Kuhn KA, Yomogida K, Knoop K, Wu H-JJ, and Zaiss MM. More than a leaky gut: how gut priming shapes arthritis. Nat Rev Immunol. (2025) 21:513–25. doi: 10.1038/s41584-025-01282-1

PubMed Abstract | Crossref Full Text | Google Scholar

8. Kroemer G, Montegut L, Kepp O, and Zitvogel L. The danger theory of immunity revisited. Nat Rev Immunol. (2024) 24:912–28. doi: 10.1038/s41577-024-01102-9

PubMed Abstract | Crossref Full Text | Google Scholar

9. De Luca F and Shoenfeld Y. The microbiome in autoimmune diseases. Clin Exp Immunol. (2019) 195:74–85. doi: 10.1111/cei.13158

PubMed Abstract | Crossref Full Text | Google Scholar

10. Edwards M and Brockmann L. Microbiota-dependent modulation of intestinal anti-inflammatory CD4+ T cell responses. Semin Immunopathol. (2023) 47:23. doi: 10.1007/s00281-025-01049-6

PubMed Abstract | Crossref Full Text | Google Scholar

11. Miyauchi E, Shimokawa C, Steimle A, Desai MS, and Ohno H. The impact of the gut microbiome on extra-intestinal autoimmune diseases. Nat Rev Immunol. (2023) 23:9–23. doi: 10.1038/s41577-022-00727-y

PubMed Abstract | Crossref Full Text | Google Scholar

12. Sun L, Su Y, Jiao A, Wang X, and Zhang B. T cells in health and disease. Signal Transduct Targ Ther. (2023) 8:235. doi: 10.1038/s41392-023-01471-y

PubMed Abstract | Crossref Full Text | Google Scholar

13. Reel JM, Abbadi J, and Cox MA. T cells at the interface of neuroimmune communication. J Allergy Clin Immunol. (2024) 153:894–903. doi: 10.1016/j.jaci.2023.10.026

PubMed Abstract | Crossref Full Text | Google Scholar

14. Tran M, Huh JR, and Devlin AS. The role of gut microbial metabolites in the T cell lifecycle. Nat Immunol. (2025) 26:1246–57. doi: 10.1038/s41590-025-02227-2

PubMed Abstract | Crossref Full Text | Google Scholar

15. DeLeon O, Mocanu M, Tan A, Sidebottom AM, Koval J, Ceccato HD, et al. Microbiome mismatches from microbiota transplants lead to persistent off-target metabolic and immunomodulatory effects. Cell. (2025) 188:3927–41. doi: 10.1016/j.cell.2025.05.014

PubMed Abstract | Crossref Full Text | Google Scholar

16. Leunig A, Gianeselli M, Russo SJ, and Swirski FK. Connection and communication between the nervous and immune systems. Nat Rev Immunol. (2025) 25:912–33. doi: 10.1038/s41577-025-01199-6. ahead of print.

PubMed Abstract | Crossref Full Text | Google Scholar

17. Yoshida TM, Nguyen M, Zhang L, Lu BY, Zhu B, Murray KN, et al. The subfornical organ is a nucleus for gut-derived T cells that regulate behaviour. Nature. (2025) 643:499–508. doi: 10.1038/s41586-025-09050-7

PubMed Abstract | Crossref Full Text | Google Scholar

18. White Z, Cabrera I, Mei L, Clevenger M, Ochoa-Raya A, Kapustka I, et al. Gut inflammation promotes microbiota-specific CD4 T cell-mediated neuroinflammation. Nature. (2025) 643:509–18. doi: 10.1038/s41586-025-09120-w

PubMed Abstract | Crossref Full Text | Google Scholar

19. Weisbart R, Chan G, Jordaan G, Noble PW, Liu Y, Glazer PM, et al. DNA-dependent targeting of cell nuclei by a lupus autoantibody. (2015) Sci Rep. (2015) 5:12022. doi: 10.1038/srep12022

PubMed Abstract | Crossref Full Text | Google Scholar

20. Wang L, Noyer L, Jishage M, Wang Y-H, Tao AY, McDermott M, et al. CLNS1A regulates genome stability and cell cycle progression to control CD4 T cell function and autoimmunity. Sci Immunol. (2025) 10:eadq8860. doi: 10.1126/sciimmunol.adq8860

PubMed Abstract | Crossref Full Text | Google Scholar

21. Borovikova LV, Ivanova S, Zhang H, Botchkina GI, Watkins LR, Wang H, et al. Vagus nerve stimulation attenuates the systemic inflammatory response to endotoxin. Nature. (2000) 405:458–62. doi: 10.1038/35013070

PubMed Abstract | Crossref Full Text | Google Scholar

22. Fuji T, Mashimo M, Moriwaki Y, Misawa H, Ono S, Horiguchi K, et al. Expression and function of the cholinergic system in immune cells. Front Immunol. (2017) 8:1085. doi: 10.3389/fimmu.2017.01085

PubMed Abstract | Crossref Full Text | Google Scholar

23. Blake SJ, Wolf Y, Boursi B, and Lynn DJ. Role of the microbiota in response to and recovery from cancer therapy. Nat Rev Immunol. (2024) 24:308–35. doi: 10.1038/s41577-023-00951-0

PubMed Abstract | Crossref Full Text | Google Scholar

24. Curti BD. Checkpoint immunotherapy for melanoma - offering hope for cure. Editorial. New Engl J Med. (2025) 392:81–2. doi: 10.1056/NEJMe2412226

PubMed Abstract | Crossref Full Text | Google Scholar

25. Edner NM, Carlesso G, Rush JS, and Walker LSK. Targeting co-stimulatory molecules in autoimmune disease. Nat Rev Drug Discov. (2020) 19:860–83. doi: 10.1038/s41573-020-0081-9

PubMed Abstract | Crossref Full Text | Google Scholar

26. Grebinoski S and Vignali DA. Inhibitory receptor agonists: the future of autoimmune disease therapeutics? Curr Opin Immunol. (2020) 67:1–9. doi: 10.1016/j.coi.2020.06.001

PubMed Abstract | Crossref Full Text | Google Scholar

27. Xiang G, Cui Y, Wang P, Feng Y, Zhang C, Lou J, et al. Nanomedicine targeting the PD-1/PD-L1 axis in autoimmune diseases: breaking conventional barriers to restore immune tolerance. J Nanobiotechnol. (2025) 23:664. doi: 10.1186/s12951-025-03766-4

PubMed Abstract | Crossref Full Text | Google Scholar

28. Maynard CL, Elson CO, Hatton RD, and Weaver CT. Reciprocal interactions of the intestinal microbiota and immune system. Nature. (2012) 489:231–41. doi: 10.1038/nature11551

PubMed Abstract | Crossref Full Text | Google Scholar

29. Haghebaert M, Laroche B, Sala L, Mondot S, and Dore J. A mechanistic modelling approach of the host-microbiota interactions to investigate beneficial symbiotic resilience in the human gut. J R Soc Interface. (2024) 21:20230756. doi: 10.1098/rsif.2023.0756

PubMed Abstract | Crossref Full Text | Google Scholar

30. Bredberg A, Henriksson G, Larsson A, Manthorpe R, and Sallmyr A. Sjogren’s syndrome and the danger model. Rheumatology. (2005) 44:965–70. doi: 10.1093/rheumatology/keh647

PubMed Abstract | Crossref Full Text | Google Scholar

31. Ramos-Casals M, Baer AN, del Pilar Brito-Zeron M, Hammitt KM, Bouillot C, Retamozo S, et al. 2023 International Rome consensus for the nomenclature of Sjögren disease. Nat Rev Rheumatol. (2025) 21:426–37. doi: 10.1038/s41584-025-01268-z

PubMed Abstract | Crossref Full Text | Google Scholar

32. Su C, Wang W, Cheng F, Zhao F, and Zheng SG. The role of B cells in Sjögren’s syndrome and their impact on the nervous system. Autoimmun Rev. (2025) 24:103852. doi: 10.1016/j.autrev.2025.103852

PubMed Abstract | Crossref Full Text | Google Scholar

33. Sjostrom B, Bredberg A, Mandl T, Alonso-Magdalena L, Ohlsson B, Lavasani S, et al. Increased intestinal permeability in primary Sjögren’s syndrome and multiple sclerosis. J Transl Autoimmun. (2021) 4:100082. doi: 10.1016/j.jtauto.2021.100082

PubMed Abstract | Crossref Full Text | Google Scholar

34. Joseph CG, Darrah E, Shah AA, Skora AD, Casciola-Rosen LA, Wigley FM, et al. Association of the autoimmune disease scleroderma with an immunologic response to cancer. Science. (2014) 343:152–7. doi: 10.1126/science.1246886

PubMed Abstract | Crossref Full Text | Google Scholar

35. Hemminki K, Liu X, Ji J, Forsti A, Sundquist J, and Sundquist K. Effect of autoimmune diseases on risk and survival in female cancers. Gynecol Oncol. (2012) 127:180–5. doi: 10.1016/j.ygyno.2012.07.100

PubMed Abstract | Crossref Full Text | Google Scholar

36. Fauconnier A, Melis M, Berenbeck M, Pio B, and Croisier T. Trends in the drug target landscape for autoimmune diseases. Nat Rev Drug Deliv. (2025) 24:415–6. doi: 10.1038/d41573-025-00061-7

PubMed Abstract | Crossref Full Text | Google Scholar

37. Zitvogel L, Derosa L, Routy B, Loibl S, Heinzerling L, de Vries IJM, et al. Impact of the ONCOBIOME network in cancer microbiome research. Nat Med. (2025) 31:1085–98. doi: 10.1038/s41591-025-03608-8

PubMed Abstract | Crossref Full Text | Google Scholar

38. Bredberg A. Cancer complexity: why we need a novel cancer research strategy. Front Oncol. (2025) 15:1624467. doi: 10.3389/fonc.2025.1624467

PubMed Abstract | Crossref Full Text | Google Scholar

39. Rickles D, Hawe P, and Shiell A. Glossary. A simple guide to chaos and complexity. J Epidemiol Community Health. (2007) 61:933–7. doi: 10.1136/jech.2006.054254

PubMed Abstract | Crossref Full Text | Google Scholar

40. Uthamacumaran A. A review of dynamical systems approaches for the detection of chaotic attractors in cancer networks. Patterns. (2021) 2:4. doi: 10.1016/j.patter.2021.100226

PubMed Abstract | Crossref Full Text | Google Scholar

41. New England Complex Systems Institute. Concepts: Chaos vs. Complex Systems. New England: Complex Systems Institute. Available online at: https://necsi.edu/chaos-vscomplexsystems (Accessed September 30, 2025).

Google Scholar

42. Laman JD, Molloy M, and Noelle RJ. Switching off autoimmunity. Science. (2024) 385:827–9. doi: 10.1126/science.ade6949

PubMed Abstract | Crossref Full Text | Google Scholar

43. Lledo-Delgado A, Preston-Hurlburt P, Currie S, Clark P, Linsley PS, Long A, et al. Teplizumab induces persistent changes in the antigen-specific repertoire in individuals at risk for type 1 diabetes. J Clin Invest. (2024) 134:e177492. doi: 10.1172/JCI177492

PubMed Abstract | Crossref Full Text | Google Scholar

44. Di Marco Barros R, Fitzpatrick Z, and Clatworthy MR. The gut-meningeal immune axis: Priming brain defense against the most likely invaders. J Exp Med. (2022) 219:e20211520. doi: 10.1084/jem.20211520

PubMed Abstract | Crossref Full Text | Google Scholar

45. Li S, Guo Y, An S, Ge L, You J, and Ren W. Gut microbiota-host post-translational modification axis in immunometabolic diseases. Trends Immunol. (2025) 46:586–601. doi: 10.1016/j.it.2025.06.006

PubMed Abstract | Crossref Full Text | Google Scholar

46. Milo T, Kohanim YK, Toledano Y, and Alon U. Autoimmune thyroid diseases as a cost of physiological autoimmune surveillance. Trends Immunol. (2023) 44:365–71. doi: 10.1016/j.it.2023.03.007

PubMed Abstract | Crossref Full Text | Google Scholar

47. Koufaris C, Berger M, and Aquelian R. Causes and consequences of T cell DNA damage. Trends Immunol. (2025) 46:536–49. doi: 10.1016/j.it.2025.04.006

PubMed Abstract | Crossref Full Text | Google Scholar

48. An J, Liu Y, Wang Y, Fan R, Hu X, Zhang F, et al. The role of intestinal mucosal barrier in autoimmune disease: A potential target. Front Immunol. (2022) 13:871713. doi: 10.3389/fimmu.2022.871713

PubMed Abstract | Crossref Full Text | Google Scholar

49. Lockhart A, Mucida D, and Bilate AM. Intraepithelial lymphocytes of the intestine. Annu Rev Immunol. (2024) 42:289–316. doi: 10.1146/annurev-immunol-090222-100246

PubMed Abstract | Crossref Full Text | Google Scholar

50. Nakandakari S, Walker S, Canesso MCC, van der Heide V, Chudnovskiy A, Kim D-Y, et al. Universal recording of immune cell interactions. vivo. Nature. (2024) 627:399–406. doi: 10.1038/s41586-024-07134-4

PubMed Abstract | Crossref Full Text | Google Scholar

51. Garrido-Mesa J, Rodriguez-Nogales A, Algieri F, Vezza T, Hidalgo-Garcia L, Garrido-Barros M, et al. Immunomodulatory tetracyclines shape the intestinal inflammatory response inducing mucosal healing and resolution. Br J Pharmacol. (2018) 175:4353–70. doi: 10.1111/bph.14494

PubMed Abstract | Crossref Full Text | Google Scholar

52. Kragsnaes MS, Kjeldsen J, Horn HC, Munk HL, Pedersen JK, Just SA, et al. Safety and efficacy of faecal microbiota transplantation for active peripheral psoriatic arthritis: an exploratory randomised placebo-controlled trial. Ann Rheum Dis. (2021) 80:1158–67. doi: 10.1136/annrheumdis-2020-219511

PubMed Abstract | Crossref Full Text | Google Scholar

53. Gilbert JA, Azad MB, Backhed F, Blaser MJ, Byndloss M, Chiu CY, et al. Clinical translation of microbiome research. Nat Med. (2025) 31:1099–113. doi: 10.1038/s41591-025-03615-9

PubMed Abstract | Crossref Full Text | Google Scholar

54. Nayak RR and Orellana DA. The impact of the human gut microbiome on the treatment of autoimmune disease. Immunol Rev. (2024) 325:107–30. doi: 10.1111/imr.13358

PubMed Abstract | Crossref Full Text | Google Scholar

55. Marcella C, Cui B, Kelly CR, Ianiro G, Cammarota G, and Zhang F. Systematic review: the global incidence of faecal microbiota transplantation-related adverse events from 2000 to 2020. Ailment Pharmacol Ther. (2021) 53:33–42. doi: 10.1111/apt.16148

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: microbiota, adaptive immunity, autoimmune disease, intestinal microbiota, autoimmune disease complexity

Citation: Bredberg A, Nermo KR and Henriksson G (2025) Targeting the role played by microbiota and adaptive immunity within autoimmune disease complexity. Front. Immunol. 16:1718417. doi: 10.3389/fimmu.2025.1718417

Received: 03 October 2025; Accepted: 19 November 2025; Revised: 12 November 2025;
Published: 01 December 2025.

Edited by:

Caio Cesar Souza Alves, Universidade Federal dos Vales do Jequitinhonha e Mucuri, Brazil

Reviewed by:

Mohammad Hossein Karimi, Shiraz University of Medical Sciences, Iran

Copyright © 2025 Bredberg, Nermo and Henriksson. 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: Anders Bredberg, YW5kZXJzLmJyZWRiZXJnQHN5a2VodXNldC1pbm5sYW5kZXQubm8=

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.