Back

Gut microbial interaction networks control autoimmunity to neuroretina

Zhang, A.; Horai, R.; Jittayasothorn, Y.; Badger, J. H.; Wu, Z.; Gupta, A.; Arunkumar, S.; Murphy, C. E.; Shi, G.; Nagarajan, V.; McCulloch, J. A.; Kodati, S.; Sen, H. N.; Lee, J. W.; Jacobs, J. P.; Xu, X.; Mattapallil, M. J.; Peng, Z.; Xu, B.; Palmer, R. J.; Majdalani, N.; Honda, K.; O'hUigin, C.; Caspi, R. R.

2025-12-06 immunology
10.64898/2025.12.04.691931 bioRxiv
Show abstract

The gut microbiome influences the development of immune-mediated inflammatory diseases. One such condition is autoimmune uveitis, a sight-threatening ocular inflammation driven by retina-specific T cells1. Using a model of spontaneous experimental autoimmune uveitis (sEAU) we showed that gut commensals provide innate and adaptive immune stimuli that trigger the disease2. Here we report that uveitis-promoting microbes are present in human gut flora and that colonization of germ-free (GF) mice with commensal flora from healthy human donors was sufficient to provoke disease. Severity of sEAU correlated with expansion of Akkermansia and contraction of short-chain fatty acid (SCFA)-producing Firmicutes, as well as decreased SCFA levels and a dominant gut Th1 effector response. Mechanistic gain-of-function experiments, enriching GF sEAU mice with Akkermansia, reproduced these microbiome, metabolite and immune phenotype shifts, and exacerbated disease. We propose that Akkermansia promotes autoimmunity by outcompeting SCFA-producers and enhancing Th1-type responses. Notably, an inverse correlation between Akkermansia (Verrucomicrobia) and Firmicutes was also present in fecal microbiome of patients with uveitis, multiple sclerosis and Crohns disease. These findings reveal a stereotypic gut microbial interaction network that regulates systemic immune balance, and may represent an ecologically conserved mechanism through which the gut microbiome modulates autoimmune and inflammatory diseases.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.