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Gut microbiome composition in patients with liver cirrhosis with and without hepatic encephalopathy: A systematic
Xiao-Tong Xu1,2, Min-Jie Jiang3, Yun-Lai Fu1,2
1Beijing Institute of Hepatology, Beijing YouAn Hospital, Capital Medical University, Beijing 100069, China.
Background:
The gut microbiome is associated with hepatic encephalopathy (HE), but research results on the gut microbiome characteristics of patients with liver cirrhosis with and without HE are inconsistent.
Aim:
To study the gut microbiota characteristics of patients with liver cirrhosis with and without HE.
Methods:
We searched the PubMed, Web of Science, EMBASE, and Cochrane databases using two keywords, HE, and gut microbiome. According to the inclusion and exclusion criteria, suitable literature was screened to extract data on the diversity and composition of the fecal microbiota in patients with liver cirrhosis with and without HE. The data were analyzed using RevMan and STATA.
Results:
Seventeen studies were included: (1) A meta-analysis of 7 studies revealed that the Shannon index in liver cirrhosis patients with HE was significantly lower than that in patients without HE [-0.20, 95% confidence interval (CI): -0.28 to -0.13, I = 20%]; (2) The relative abundances of Lachnospiraceae (-2.73, 95%CI: -4.58 to -0.87, I = 38%) and Ruminococcaceae (-2.93, 95%CI: -4.29 to -1.56, I = 0%) in liver cirrhosis patients with HE was significantly lower than those in patients without HE; (3) In patients with HE, Enterococcus, Proteobacteria, Enterococcaceae, and Enterobacteriaceae proportions increased, but Ruminococcaceae, Lachnospiraceae, Prevotellaceae, and Bacteroidetes proportions decreased; (4) Differences in the fecal metabolome between liver cirrhosis patients with and without HE were detected; and (5) Differential gut microbiomes may serve as diagnostic and prognostic tools.
Conclusion:
The gut microbiomes of patients with liver cirrhosis with and without HE differ. Some gut microbiomes may distinguish liver cirrhosis patients with or without HE and determine patient prognosis.
