4.8 Article

Altered faecal microbiome and metabolome in IgG4-related sclerosing cholangitis and primary sclerosing cholangitis

期刊

GUT
卷 71, 期 5, 页码 899-909

出版社

BMJ PUBLISHING GROUP
DOI: 10.1136/gutjnl-2020-323565

关键词

autoimmune disease; hepatobiliary disease; intestinal microbiology

资金

  1. National Natural Science Foundation of China [81830016, 81771732, 81620108002, 81922010, 81873561, 81570469, 81800504, 81421001, 81790634, 81300299, 81500435]
  2. Shanghai Municipal Science and Technology Committee of Shanghai outstanding academic leaders plan [20XD1422500]
  3. 'Shuguang Program' - Shanghai Education Development Foundation
  4. Shanghai Municipal Education Commission [18SG17]
  5. Shanghai Municipal Education Commission-Gaofeng Clinical Medicine [20161311]
  6. 'Chen Guang' project - Shanghai Municipal Education Commission
  7. Shanghai Education Development Foundation [19CG16]
  8. Shanghai Sailing Program [18YF1412900, 20YF1425500]
  9. Shanghai Rising-Star Program [18QA1402700]
  10. Innovative research team of high-level local universities in Shanghai

向作者/读者索取更多资源

Comparative analysis of gut microbiome and metabolome in IgG4-SC and PSC patients revealed distinct host-microbe interactions that may contribute to disease pathogenesis, highlighting the uniqueness of IgG4-SC.
Objective Multiple clinical similarities exist between IgG4-related sclerosing cholangitis (IgG4-SC) and primary sclerosing cholangitis (PSC), and while gut dysbiosis has been extensively studied in PSC, the role of the gut microbiota in IgG4-SC remains unknown. Herein, we aimed to evaluate alterations of the gut microbiome and metabolome in IgG4-SC and PSC. Design We performed 16S rRNA gene amplicon sequencing of faecal samples from 135 subjects with IgG4-SC (n=34), PSC (n=37) and healthy controls (n=64). A subset of the samples (31 IgG4-SC, 37 PSC and 45 controls) also underwent untargeted metabolomic profiling. Results Compared with controls, reduced alpha-diversity and shifted microbial community were observed in IgG4-SC and PSC. These changes were accompanied by differences in stool metabolomes. Importantly, despite some common variations in the microbiota composition and metabolic activity, integrative analyses identified distinct host-microbe associations in IgG4-SC and PSC. The disease-associated genera and metabolites tended to associate with the transaminases in IgG4-SC. Notable depletion of Blautia and elevated succinic acid may underlie hepatic inflammation in IgG4-SC. In comparison, potential links between the microbial or metabolic signatures and cholestatic parameters were detected in PSC. Particularly, concordant decrease of Eubacterium and microbiota-derived metabolites, including secondary bile acids, implicated novel host-microbial metabolic pathways involving cholestasis of PSC. Interestingly, the predictive models based on metabolites were more effective in discriminating disease status than those based on microbes. Conclusions Our data reveal that IgG4-SC and PSC possess divergent host-microbe interplays that may be involved in disease pathogenesis. These data emphasise the uniqueness of IgG4-SC.

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