Gut microbiome and metabolome signatures in liver cirrhosis-related complications

肝硬化 胃肠病学 代谢组 肝肾综合征 肝性脑病 内科学 医学 微生物群 肠道菌群 乳果糖 微生物学 生物 代谢物 免疫学 生物信息学
作者
Satya Priya Sharma,Haripriya Gupta,Goo-Hyun Kwon,Sangyoon Lee,Seol Hee Song,J. S. Kim,Jeong Ha Park,Min Ju Kim,Dong‐Hoon Yang,Hyunjoon Park,Sung‐Min Won,Jin-Ju Jeong,Ki‐Kwang Oh,Jung A Eom,Kyeong Jin Lee,Sang Jun Yoon,Young Lim Ham,Gwang Ho Baik,Dong Joon Kim,Ki Tae Suk
出处
期刊:Clinical and molecular hepatology [The Korean Association for the Study of the Liver]
标识
DOI:10.3350/cmh.2024.0349
摘要

Background/Aims: Shifts in the gut microbiota and metabolites are interrelated with liver cirrhosis progression and complications.However, causal relationships have not been evaluated comprehensively.Here, we identified complication-dependent gut microbiota and metabolic signatures in patients with liver cirrhosis.Methods: Microbiome taxonomic profiling was performed on 194 stool samples (52 controls and 142 cirrhosis patients) via V3-V4 16S rRNA sequencing.Next, 51 samples (17 controls and 34 cirrhosis patients) were selected for fecal metabolite profiling via gas chromatography mass spectrometry and liquid chromatography coupled to time-of-flight-mass spectrometry.Correlation analyses were performed targeting the gut-microbiota, metabolites, clinical parameters, and presence of complications (varices, ascites, peritonitis, encephalopathy, hepatorenal syndrome, hepatocellular carcinoma, and deceased).Results: Veillonella bacteria, Ruminococcus gnavus, and Streptococcus pneumoniae are cirrhosis-related microbiotas compared with control group.Bacteroides ovatus, Clostridium symbiosum, Emergencia timonensis, Fusobacterium varium, and Hungatella_uc were associated with complications in the cirrhosis group.The areas under the receiver operating characteristic curve (AUROCs) for the diagnosis of cirrhosis, encephalopathy, hepatorenal syndrome, and deceased were 0.863, 0.733, 0.71, and 0.69, respectively.The AUROCs of mixed microbial species for the diagnosis of cirrhosis and complication were 0.808 and 0.847, respectively.According to the metabolic profile, 5 increased fecal metabolites in patients with cirrhosis were biomarkers (AUROC > 0.880) for the diagnosis of cirrhosis and complications.Clinical markers were significantly correlated with the gut microbiota and metabolites. Conclusion:Cirrhosis-dependent gut microbiota and metabolites present unique signatures that can be used as noninvasive biomarkers for the diagnosis of cirrhosis and its complications.
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