Metabolomics is vital for understanding biological processes but analyzing complex data is challenging. This talk covers advances in computational tools like FERMO and msFeaST, which streamline data analysis, linking phenotypes to metabolomic profiles.

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This talk presents a recent study that combined metabolomic, metagenomic, and metabolic modeling to assess the prevalence of bacterial auxotrophies in the human gut and their correlation with the host’s metabolome.

Gut regionality is key in physiology studies but often ignored in metabolome research. It’s crucial for understanding metabolic changes, especially during pregnancy.

The study analyzed pre-diagnostic serum samples from healthy women in the Norwegian Trøndelag Health Study (HUNT2 study) to identify molecular biomarkers linked to breast cancer risk.