Lu Zhaoyang, Yu Ligen, Bai Yun, Cui Yifeng, Shi Meixin, Li Zhitao, Li Xiaoxue, Zhong Xin, Jin Ye, Wei Can
Department of General Surgery, Key Laboratory of Hepatosplenic Surgery, Ministry of Education, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Department of Pathophysiology, Harbin Medical University, Harbin, Heilongjiang, China.
mSystems. 2025 Jul 22;10(7):e0051825. doi: 10.1128/msystems.00518-25. Epub 2025 Jun 10.
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 ( and ). 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.IMPORTANCEOur 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.
作为代谢综合征范围内一种常见的侵袭性肝脏相关表现,代谢功能障碍相关脂肪性肝炎(MASH)有进展为肝硬化和肝细胞癌的重大风险,它与肥胖、胰岛素抵抗和血脂异常密切相关。尽管肠道微生物群与MASH的进展有关,但其潜在机制仍需进一步研究。在本研究中,我们试图结合肝脏转录组、循环代谢组和肠道微生物群的分析,以研究肠道微生物群与肝脏免疫信号之间相互调节的潜在分子机制。我们在db/db小鼠中使用高脂和蛋氨酸/胆碱缺乏饮食(HFMCD)诱导的MASH模型。在使用KEGG和Metorigin进行注释分析后,对这些基因与特定代谢物(如L-谷氨酰胺、异柠檬酸、腐胺、焦谷氨酸、鼠李糖)和肠道微生物属(和)进行了全面的相关性分析。结果揭示了肝脏免疫微环境、代谢组和肠道微生物群之间复杂的相互作用。这些相互作用提示了一种代谢紊乱和免疫反应的潜在调节机制。
重要性 我们的多组学分析表明,脂质、氨基酸和葡萄糖代谢紊乱介导的肠道微生物群与肝脏免疫反应之间的相互作用与MASH中JAK-STAT和NF-κB信号通路的激活有关。多组学分析为微生物群、循环代谢物和免疫信号之间的相互作用提供了有价值的见解。这些见解可用于加强MASH的管理。
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