Baseline Gut Microbiome-Metabolome Signatures Are Associated with Drinking Severity and Reduction Following Dutasteride Treatment in Alcohol Use Disorder

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Abstract

The gut microbiome has been implicated in alcohol use disorder (AUD), but its relationship to drinking intensity and treatment response remains poorly understood. We conducted a longitudinal multi-omics analysis of stool samples collected at baseline and endpoint (after 12 weeks) from 122 participants enrolled in a double-blind, placebo-controlled trial of dutasteride for AUD. Gut microbiome composition was characterized using 16S rRNA gene sequencing, and fecal metabolites were measured by LC-MS–based metabolomics. At baseline, drinking intensity was associated with increasingly lower microbial richness. Genera in the class Clostridia emerged as key microbial hubs associated with drinking intensity in an age- and sex-dependent manner. Drinking intensity promoted co-enrichment of [ Ruminococcus ] gnavus group and [ Clostridium ] inocuum group with amino acid catabolites, as well as the co-depletion of diverse Clostridia taxa and lipid metabolites. Dutasteride treatment and drinking reduction had minimal impact on gut microbiome composition. Random forest models integrating baseline clinical, microbiome, and metabolome data improved the classification of clinically meaningful drinking reduction compared to models using clinical data alone. These findings show that a coupled baseline gut microbiome-metabolome signature is associated with drinking intensity and future treatment response in AUD, highlighting the potential for multi-omics integration to inform precision treatment approaches.

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