Gut Microbiota and Liver Fibrosis: One Potential Biomarker for Predicting Liver Fibrosis

作者：Zhiming Li, Ming Ni, Haiyang Yu, Lili Wang, Xiaoming Zhou, Tao Chen, Guangzhen Liu, Yuanxiang Gao · 发表于：BioMed Research International · 年份：2020 · DOI：10.1155/2020/3905130 · 被引用次数：35 · 研究领域：Liver Disease Diagnosis and Treatment、Gut microbiota and health、Liver physiology and pathology

Purpose . To investigate the relationship between gut microbiota and liver fibrosis and establish a microbiota biomarker for detecting and staging liver fibrosis. Methods . 131 Wistar rats were used in our study, and liver fibrosis was induced by carbon tetrachloride. Stool samples were collected within 72 hours after the last administration. The V4 regions of 16S rRNA gene were amplified. The sequencing data was processed using the Quantitative Insights Into Microbial Ecology (QIIME version 1.9). The diversity, principal coordinate analysis (PCoA), nonmetric multidimensional scaling (NMDS), and linear discriminant analysis (LDA) effect size (LEfSe) were performed. Random‐Forest classification was performed for discriminating the samples from different groups. Microbial function was assessed using the PICRUST. Results . The Simpson in the control group was lower than that in the liver fibrosis group ( p = 0.048) and differed significantly among different fibrosis stages ( p = 0.047). The Chao1 index in the control group was higher than that in the liver fibrosis group ( p < 0.001). NMDS analysis showed a marked difference between the control and liver fibrosis groups ( p < 0.001). PCoA analysis indicated the different community composition between the control and liver fibrosis groups with variances of PC1 13.76% and PC2 5.89% and between different liver fibrosis stages with variances of PC1 10.51% and PC2 7.78%. LEfSe analysis showed alteration of gut microbiota in the...