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February 12, 2026SHILAP Revista de lepidopterología0 citationsOpen Access

Exploring the gut microbiota-microbial metabolites-targets regulatory network in metabolic dysfunction-associated steatotic liver disease

DYDapeng YinWWWei WuXWX. Wang

Key Points

  • This research aims to explore the role of gut microbiota and their metabolites in the development of metabolic dysfunction-associated steatotic liver disease (MASLD).
  • Conducted Mendelian randomization analysis to identify causative gut microbiota for MASLD.
  • Evaluated microbial metabolites and predicted their targets.
  • Performed protein-protein interaction network analysis and functional enrichment analysis.
  • Validated binding interactions through molecular docking simulations.
  • Utilized an animal model of MASLD to assess expression differences in key targets.
  • Identified 11 gut microbiota causally associated with MASLD via MR analysis.
  • Obtained 19 different microbial metabolites linked to the disease.
  • Core targets focused on cholesterol metabolism and specific signaling pathways such as PPAR and HIF-1.
  • Four key targets were determined: ACE, HMGCR, PPARA, and PPARG.
  • Notable expression differences in core target genes were observed in MASLD mice.

Abstract

Background Metabolic dysfunction-associated steatotic liver disease (MASLD), which has emerged as a significant global public health concern. The regulatory role of gut microbiota and their metabolites in the pathogenesis of MASLD has attracted significant attention. Methods Mendelian randomization (MR) analysis was performed to identify gut microbiota that were causally associated with MASLD. Evaluate the metabolites derived from the microbiota and predict their targets. Obtaining overlapping targets between metabolites and MASLD. The core targets were screened by protein-protein interaction (PPI) network, and functional enrichment analysis were performed. Binding interactions between metabolites and targets are validated through molecular docking. Meanwhile, the MASLD animal model was used to verify the expression differences of the core targets. Finally, the regulatory network of gut microbiota-metabolites-targets was constructed. Results We identified 11 gut microbiota causally linked to MASLD by MR analysis. And 19 kinds of microbial metabolites were obtained. Enrichment analysis revealed that the intersection targets were concentrated cholesterol metabolism, PPAR and HIF-1 signaling pathways. Four core targets were identified, including ACE, HMGCR, PPARA and PPARG. Through molecular docking simulations, we predicted that there is potential stable binding affinity between the core targets and metabolites. Notably, a marked difference expression of key target genes was identified in the MASLD mice. Conclusion Gut microbiota and microbial metabolites played an important role in the development of MASLD. This involved a multi-target and multi-pathway regulatory network, providing new evidence for the mechanism research and targeted intervention of MASLD.

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Cite This Study

Yin et al. (2026) studied this question.

synapsesocial.com/papers/698d6d445be6419ac0d52246https://doi.org/10.3389/fmolb.2026.1764479
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