AUTHOR=Lou Jiamin , Jiang Yan , Rao Benchen , Li Ang , Ding Suying , Yan Hang , Zhou Heqi , Liu Zhenguo , Shi Qingmiao , Cui Guangying , Yu Zujiang , Ren Zhigang 

TITLE=Fecal Microbiomes Distinguish Patients With Autoimmune Hepatitis From Healthy Individuals

JOURNAL=Frontiers in Cellular and Infection Microbiology

VOLUME=10

YEAR=2020

URL=https://www.frontiersin.org/journals/cellular-and-infection-microbiology/articles/10.3389/fcimb.2020.00342

DOI=10.3389/fcimb.2020.00342

ISSN=2235-2988

ABSTRACT=<p><bold>Objective:</bold> 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.</p><p><bold>Design:</bold> We collected 115 fecal samples from AIH patients (<italic>N</italic> = 37) and HCs (<italic>N</italic> = 78) in Central China and performed gene sequencing. Fecal microbiomes were characterized and microbial markers for AIH were identified.</p><p><bold>Results:</bold> Fecal microbial diversity showed a downward trend in AIH compared with HCs. Fecal microbial communities significantly differed between both groups. At the phylum level, <italic>Verrucomicrobi</italic>a abundance was significantly increased, while <italic>Lentisphaerae</italic> and <italic>Synergistetes</italic> were significantly decreased in the AIH patients vs. the HCs. Compared to the HCs, 15 genera, including <italic>Veillonella, Faecalibacterium</italic>, and <italic>Akkermansia</italic>, were enriched, while 19 genera, such as <italic>Pseudobutyrivibrio, Lachnospira</italic>, and <italic>Ruminococcaceae</italic>, were decreased in the AIH patients. Ten genera, including <italic>Veillonella, Faecalibacterium</italic>, and <italic>Akkermansia</italic>, 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 vs. HCs, achieving 83.25% value of area under the curve.</p><p><bold>Conclusion:</bold> We present the characteristics of AIH patients in Central China for the first time. Five microbial biomarkers, including <italic>Lachnospiraceae, Veillonella, Bacteroides, Roseburia</italic>, and <italic>Ruminococcaceae</italic>, achieved a high potential distinguishing AIH patients from HCs.</p>