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The potential mechanisms of reciprocal regulation of gut microbiota-liver immune signaling in metabolic dysfunction-associated steatohepatitis revealed in multi-omics analysis

脂肪性肝炎 免疫系统 肠道菌群 组学 互惠的 生物 计算生物学 代谢组学 生物信息学 脂肪肝 免疫学 医学 内科学 疾病 语言学 哲学
作者
Zhao‐Yang Lu,Liangyue Yu,Yun Bai,Yifeng Cui,Meixin Shi,Zhitao Li,Xiaoxue Li,Xin Zhong,Ye Jin,Can Wei
出处
期刊:MSystems [American Society for Microbiology]
卷期号:10 (7): e0051825-e0051825
标识
DOI:10.1128/msystems.00518-25
摘要

ABSTRACT As a commonly known aggressive liver-related manifestation within the spectrum of metabolic syndrome with a significant risk of progressing to cirrhosis and hepatocellular carcinoma, metabolic dysfunction-associated steatohepatitis (MASH) is closely intertwined with obesity, insulin resistance, and dyslipidemia. Although the gut microbiota is implicated in MASH progression, the underlying mechanisms require further investigation. In this study, we sought to combine the analysis of the liver transcriptome, circulating metabolome, and gut microbiota to investigate the potential molecular mechanisms underlying the reciprocal regulation between gut microbiota and liver immune signaling. We utilized a high-fat and methionine/choline-deficient diet (HFMCD)-induced MASH model in a db/db mouse. Following annotation analysis using KEGG and Metorigin, a comprehensive correlation analysis was conducted among these genes and specific metabolites (such as L-glutamine, isocitric acid, putrescine, pyroglutamic acid, rhamnose) and gut microbiota genera ( Enteroccus and Romboutsia ). The results revealed intricate interactions among the liver’s immune microenvironment, the metabolome, and the gut microbiota. These interactions suggest a potential regulatory mechanism for metabolic disorders and immune responses. IMPORTANCE Our multi-omics analysis showed that the interactions between gut microbiota and liver immune responses mediated by the disorders in lipid, amino acid, and glucose metabolism are associated with activation of the JAK-STAT and NF-κB signaling pathway in MASH. The multi-omics analysis provides valuable insights into the interactions among microbiota, circulating metabolites, and immune signaling. These insights can be harnessed to enhance the management of MASH.
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