Dysbiosis, departure of the gut microbiome from a healthy state, has been suggested to be a powerful biomarker of disease incidence and progression. Diagnostic applications have been proposed for inflammatory bowel disease diagnosis and prognosis, colorectal cancer prescreening and therapeutic choices in melanoma. Noninvasive sampling could facilitate large-scale public health applications, including early diagnosis and risk assessment in metabolic and cardiovascular diseases. To understand the generalizability of microbiota-based diagnostic models of metabolic disease, we characterized the gut microbiota of 7,009 individuals from 14 districts within 1 province in China. Among phenotypes, host location showed the strongest associations with microbiota variations. Microbiota-based metabolic disease models developed in one location failed when used elsewhere, suggesting that such models cannot be extrapolated. Interpolated models performed much better, especially in diseases with obvious microbiota-related characteristics. Interpolation efficiency decreased as geographic scale increased, indicating a need to build localized baseline and disease models to predict metabolic risks.

Gut microbiota has been well recognized in regulation of intestinal homeostasis and pathogenesis of inflammatory bowel diseases. However, the mechanisms involved are still not completely understood. Further, the components of the microbiota which are critically responsible for such effects are also largely unknown. Accumulating evidence suggests that, in addition to pathogen-associated molecular patterns (PAMP), nutrition and bacterial metabolites might greatly impact the immune response in the gut and beyond. Short-chain fatty acids (SCFA), which are metabolized by gut bacteria from otherwise indigestible fiber-rich diets, have been shown to ameliorate diseases in animal models of inflammatory bowel diseases (IBD) and allergic asthma. Although the exact mechanisms for the action of SCFA are still not completely clear, most notable among the SCFA targets is the mammalian G protein-coupled receptor pair of GPR41 and GPR43. In addition to the well-documented inhibition of histone deacetylases (HDAC) activity mainly by butyrate and propionate, which causes anti-inflammatory activities on IEC, macrophages, and dendritic cells, SCFA has recently been implicated in promoting development of Treg cells and possibly other T cells. In addition to animal models, the beneficial effects have also been reported from the clinical studies that used SCFA therapeutically in controlled trial settings in inflammatory disease, in that application of SCFA improved indices of IBD and therapeutic efficacy was demonstrated in acute radiation proctitis. In this review article, we will summarize recent progresses of SCFA in regulation of intestinal homeostasis as well as in pathogenesis of IBD.

T-cells are crucial in maintanence of intestinal homeostasis, however, it is still unclear how microbiota metabolites regulate T-effector cells. Here we show gut microbiota-derived short-chain fatty acids (SCFAs) promote microbiota antigen-specific Th1 cell IL-10 production, mediated by G-protein coupled receptors 43 (GPR43). Microbiota antigen-specific Gpr43−/− CBir1 transgenic (Tg) Th1 cells, specific for microbiota antigen CBir1 flagellin, induce more severe colitis compared with wide type (WT) CBir1 Tg Th1 cells in Rag−/− recipient mice. Treatment with SCFAs limits colitis induction by promoting IL-10 production, and administration of anti-IL-10R antibody promotes colitis development. Mechanistically, SCFAs activate Th1 cell STAT3 and mTOR, and consequently upregulate transcription factor B lymphocyte-induced maturation protein 1 (Blimp-1), which mediates SCFA-induction of IL-10. SCFA-treated Blimp1−/− Th1 cells produce less IL-10 and induce more severe colitis compared to SCFA-treated WT Th1 cells. Our studies, thus, provide insight into how microbiota metabolites regulate Th1 cell functions to maintain intestinal homeostasis.