early microbiome signatures of MASH in a STAM/HFD mouse model
Detecting metabolic dysfunction-associated steatohepatitis (MASH) before fibrosis develops remains a major challenge. We used a longitudinal streptozotocin/high-fat diet (STAM/HFD) mouse model to identify microbial and metabolic features that emerge before histological MASH onset. Integrative 16S rRNA and untargeted LC-MS/MS analyses revealed microbial, and metabolite shifts weeks before disease development. Lachnospiraceae and Oscillospiraceae increased in non-MASH mice and were negatively correlated with fatty acids elevated under MASH conditions, consistent with an inverse association. Analysis of a human MAFLD cohort confirmed higher abundances of Lachnospiraceae bacteria in healthy participants. Our results identify early microbial and metabolic features that are associated with subsequent histologic MASH onset and reveal how temporal factors influence biomarker detection.
Detecting metabolic dysfunction-associated steatohepatitis (MASH) before fibrosis develops remains a major challenge. We used a longitudinal streptozotocin/high-fat diet (STAM/HFD) mouse model to identify microbial and metabolic features that emerge before histological MASH onset. Integrative 16S rRNA and untargeted LC-MS/MS analyses revealed microbial, and metabolite shifts weeks before disease development. Lachnospiraceae and Oscillospiraceae increased in non-MASH mice and were negatively correlated with fatty acids elevated under MASH conditions, consistent with an inverse association. Analysis of a human MAFLD cohort confirmed higher abundances of Lachnospiraceae bacteria in healthy participants. Our results identify early microbial and metabolic features that are associated with subsequent histologic MASH onset and reveal how temporal factors influence biomarker detection.