Multi-strain probiotic enhances metformin tolerance by modulating gut microbiome and bile acid pathways: Insight from...

Metformin is the cornerstone therapy for type 2 diabetes, but gastrointestinal intolerance commonly limits dose escalation and long-term adherence. In the ProGasMet trial, multi-strain probiotic supplementation improved metformin tolerability. However, the underlying microbiome-metabolome mechanisms remain unclear.

We performed an exploratory multi-omics analysis using Period 1 of a randomized, double-blind, placebo-controlled trial. Participants with metformin intolerance received a multi-strain probiotic or placebo for 12 weeks. Paired stool samples collected at baseline and end of treatment were available from 34 participants (68 samples). We integrated shotgun metagenomic species profiles, predicted gut metabolic modules, and untargeted faecal LC-MS metabolomics using multi-block sparse PLS (DIABLO), complemented by longitudinal covariate-adjusted feature-level analyses and associations with gastrointestinal symptom burden (QACSMI and a simplified GI score).

In multi-omics integration at 12 weeks, bile acid-related metabolites were among the strongest contributors to group separation, with hyodeoxycholic acid and related compounds enriched in the probiotic arm. Global biodiversity and community-wide turnover did not differ between groups. Feature-level analyses suggested modest, directionally coherent changes in selected taxa, functional modules, and metabolites. Higher hyodeoxycholic acid concentrations were associated with lower gastrointestinal symptom burden in probiotic-treated participants, a pattern not observed under placebo.

Probiotic supplementation may be associated with coordinated microbiome-metabolome shifts in metformin-intolerant type 2 diabetes, highlighting bile acid remodelling, particularly hyodeoxycholic acid, as a plausible candidate for improved tolerability. These results support prioritising secondary bile acid-microbiome pathways for confirmation in larger trials incorporating targeted bile acid quantification and causal modelling.