Fecal Microbiomes Distinguish Patients With Autoimmune Hepatitis From Healthy Individuals

Jiamin Lou(First Affiliated Hospital of Zhengzhou University), Yan Jiang(First Affiliated Hospital of Zhengzhou University), Benchen Rao(First Affiliated Hospital of Zhengzhou University), Ang Li(First Affiliated Hospital of Zhengzhou University), Suying Ding(First Affiliated Hospital of Zhengzhou University), Hang Yan(First Affiliated Hospital of Zhengzhou University), Heqi Zhou(First Affiliated Hospital of Zhengzhou University), Zhenguo Liu(First Affiliated Hospital of Zhengzhou University), Qingmiao Shi(First Affiliated Hospital of Zhengzhou University), Guangying Cui(First Affiliated Hospital of Zhengzhou University), Zujiang Yu(First Affiliated Hospital of Zhengzhou University), Zhigang Ren(First Affiliated Hospital of Zhengzhou University)
Frontiers in Cellular and Infection Microbiology
August 3, 2020
Cited by 66Open Access
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Abstract

Objective: The intestinal microbiome is associated with various autoimmune diseases. Regional difference is the main influencing factor of intestinal microbial difference. This study aimed to identify the differences in fecal microbiome between autoimmune hepatitis (AIH) patients and healthy controls (HCs) in Central China, and to validate the efficacy of fecal microbiome as a diagnostic tool for AIH. Design: We collected 115 fecal samples from AIH patients (N = 37) and HCs (N = 78) in Central China and performed gene sequencing. Fecal microbiomes were characterized and microbial markers for AIH were identified. Results: Fecal microbial diversity showed a downward trend in AIH compared with HCs. Fecal microbial communities significantly differed between both groups. At the phylum level, Verrucomicrobia abundance was significantly increased, while Lentisphaerae and Synergistetes were significantly decreased in the AIH patients versus the HCs. Compared to the HCs, fifteen genera, including Veillonella, Faecalibacterium and Akkermansia, were enriched, while nineteen genera, such as Pseudobutyrivibrio, Lachnospira and Ruminococcaceae, were decreased in the AIH patients. Ten genera, including Veillonella, Faecalibacterium and Akkermansia, predominated in the AIH patients. Five microbial biomarkers were deemed optimal diagnostic tools for AIH. The probability of disease was significantly increased in AIH group versus HCs, achieving 83.25% value of area under the curve. Conclusion: We present the characteristics of AIH patients in Central China for the first time. Five microbial biomarkers, including Lachnospiraceae, Veillonella, Bacteroides, Roseburia and Ruminococcaceae, achieved a high potential distinguishing AIH patients from HCs.


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