| Literature DB >> 35899041 |
Zilu Cheng1, Ling Yang1, Huikuan Chu1.
Abstract
Autoimmune hepatitis (AIH) is a chronic immune-mediated liver disease distributed globally in all ethnicities with increasing prevalence. If left untreated, the disease will lead to cirrhosis, liver failure, or death. The intestinal microbiota is a complex ecosystem located in the human intestine, which extensively affects the human physiological and pathological processes. With more and more in-depth understandings of intestinal microbiota, a substantial body of studies have verified that the intestinal microbiota plays a crucial role in a variety of digestive system diseases, including alcohol-associated liver disease (ALD) and non-alcoholic fatty liver disease (NAFLD). However, only a few studies have paid attention to evaluate the relationship between AIH and the intestinal microbiota. While AIH pathogenesis is not fully elucidated yet, some studies have indicated that intestinal microbiota putatively made significant contributions to the occurrence and the development of AIH by triggering several specific signaling pathways, altering the metabolism of intestinal microbiota, as well as modulating the immune response in the intestine and liver. By collecting the latest related literatures, this review summarized the increasing trend of the aerobic bacteria abundance in both AIH patients and AIH mice models. Moreover, the combination of specific bacteria species was found distinct to AIH patients, which could be a promising tool for diagnosing AIH. In addition, there were alterations of luminal metabolites and immune responses, including decreased short-chain fatty acids (SCFAs), increased pathogen associated molecular patterns (PAMPs), imbalanced regulatory T (Treg)/Th17 cells, follicular regulatory T (TFR)/follicular helper T (TFH) cells, and activated natural killer T (NKT) cells. These alterations participate in the onset and the progression of AIH via multiple mechanisms. Therefore, some therapeutic methods based on restoration of intestinal microbiota composition, including probiotics and fecal microbiota transplantation (FMT), as well as targeted intestinal microbiota-associated signaling pathways, confer novel insights into the treatment for AIH patients.Entities:
Keywords: autoimmune hepatitis; fecal microbiota transplantation; gut-liver axis; intestinal microbiota; probiotics
Mesh:
Year: 2022 PMID: 35899041 PMCID: PMC9310656 DOI: 10.3389/fcimb.2022.947382
Source DB: PubMed Journal: Front Cell Infect Microbiol ISSN: 2235-2988 Impact factor: 6.073
Changes of intestinal microbiota associated with AIH in feces.
| Participants | Comparison | Change of intestinal microbiota | Method | Ref | |
|---|---|---|---|---|---|
| Increased | Decreased | ||||
| AIH patients (n=24) | AIH vs Healthy |
| 16S rDNA quantitative PCR |
| |
| HLA-DR3 NOD mice | AIH vs Healthy | Proteobacteria; Bacteriodetes | 16S rRNA sequencing |
| |
| AIH patients (n=72) | AIH vs Healthy |
|
| 16S rRNA sequencing |
|
| AIH patients (n=37) | AIH vs Healthy | Verrucomicrobia; | Lentisphaerae; | 16S rRNA sequencing |
|
| AIH patients (n=15) | AIH vs Healthy | Firmicutes; Bacteroides; |
| 16S rRNA sequencing |
|
| AIH patients (n=91) | AIH vs Healthy |
|
| 16S rRNA sequencing | Wei et al.10 |
| TCE-treated mice | AIH vs Healthy |
|
| 16S rRNA sequencing | Wang et al15 |
Comparison of condition A vs condition B: ↑signifies an increase in condition A relative to condition B. ↓signifies a decrease in condition A relative to condition B.
AIH, autoimmune hepatitis; HLA, human leukocyte antigen; NOD, nonobese-diabetic; WT, wild type; TCE, Trichloroethene.
Figure 1The receptor pathways in the intestine. High dose LPS induced by the increased abundance of Veillonella in AIH activates TLR4 expressed on IECs, then leads to the phosphorylation and activation of FAK, which regulates the activation of MyD88 and IRAK4, ultimately disrupting the intestinal TJ barrier. GPR41/43 on IECs activates ERK1/2 and p38MPAK signaling pathways by SCFAs, contributing to cytokines and chemokines secretion, which mediate protective immunity. Moreover, the activation of GPR43 by butyrate induces AMPs production by activating mTOR and STAT3. Furthermore, GPR109a promotes the expression of IL-18, which confers protection against intestinal inflammation. Herein, the reduction of Ruminococcus, Clostridium and Bifidobacterium in AIH, which results in the decrease of SCFAs, inhibits the afore-mentioned signaling pathways activated by SCFAs, thus contributing to intestinal barrier disruption. AIH, autoimmune hepatitis; IECs, intestinal epithelial cells; LPS, lipopolysaccharide; TLR4, Toll-like receptor 4; FAK, focal adhesion kinase; MyD88, myeloid differentiation factor 88; IRAK4, IL-1R–associated kinase 4; NF-kB, nuclear factor kappa B; TJ, tight junction; SCFAs, short-chain fatty acids; GPR41/43/109a, G-protein-coupled receptors 41/43/109a; ERK1/2, extracellular signal-related kinase 1/2; MAPK, mitogen-activated protein kinase; mTOR, mammalian target of rapamycin; STAT3, signal transducers and activator of transcription 3; AMPs, antimicrobial peptides; IL-18, interleukin 18.
Figure 2The receptor pathways in the liver. The activation of NLRs by PAMPs activates NLRP3 inflammasome, thus promoting caspase-1 cleavage as well as IL-1β secretion. TLR4 expressed on HSCs, Kupffer cells and hepatocytes enhances inflammatory chemokines and cytokines secretion by activating IRF3, MAPK and NF-kB. Moreover, LPS also stimulates TLR4 on macrophages to initiate RIP3 signaling pathway, thus mediating macrophage/monocyte activation, and promoting the secretion of IL-6. Furthermore, the activation of TLR9 in immune cells by bacterial DNA activates NF-kB/MAPK signaling axis, and with it the secretion of IL-12 and TNF-α. Ah R ligand, derived from translocated Enterococcus gallinarum, activates AhR-CYP1A1 signaling pathway, thus inducing the production of Th17 cells and TFH cells. The decrease of secondary bile acids attenuates GPBAR1-IL10 axis, and with it, the decrease of NKT10 cells and IL10. PAMPs, pathogen associated molecular patterns; NLRs, NOD-like receptors; NLRP3, NOD-like receptor protein 3; IL-1β, interleukin-1β; LPS, lipopolysaccharide; TLR4/9, Toll-like receptor 4/9; MyD88, myeloid differentiation factor 88; IRAK4, IL-1R–associated kinase 4; NF-kB, nuclear factor kappa B; MAPK, mitogen-activated protein kinase; TRAM, TRIF-related adapter molecule; TRIF, TIR domain-containing adaptor inducing IFN-β; RIP3, receptor-interacting protein kinase 3; TNF-α, tumor necrosis factor-α; Ah R, aryl hydrocarbon receptor; CYP1A1, cytochrome P450 family 1A1; GPBAR1, G-protein coupled bile acid receptor 1; NKT cells, natural killer T cells; TFH, follicular helper T; HSC, hepatic stellate cell.