%0 Journal Article
%A Klier, Kristin
%A Mehrjerd, Ameneh
%A Fässler, Daniel
%A Franck, Maximilien
%A Weihs, Antoine
%A Budde, Kathrin
%A Bahls, Martin
%A Frost, Fabian
%A Henning, Ann-Kristin
%A Heinken, Almut
%A Völzke, Henry
%A Dörr, Marcus
%A Nauck, Matthias
%A Grabe, Hans Jörgen
%A Friedrich, Nele
%A Hertel, Johannes
%T Integrating population-based metabolomics with computational microbiome modelling identifies methanol as a urinary biomarker for protective diet-microbiome-host interactions.
%J Food & function
%V 16
%N 18
%@ 2042-6496
%C Cambridge
%I RSC
%M DZNE-2025-01106
%P 7067 - 7081
%D 2025
%X Background: Diet-microbiome interactions are core to human health, in particular through bacterial fibre degradation pathways. However, biomarkers reflective of these interactions are not well described. Methods: Using the population-based SHIP-START-0 cohort (n = 4017), we combined metabolome-wide screenings with elastic net machine learning models on 33 food items captured using a food frequency questionnaire (FFQ) and 43 targeted urine nuclear magnetic resonance (NMR) metabolites, identifying methanol as a marker of plant-derived food items. We utilised the independent SHIP-START-0 cohort for the replication of food-metabolite associations. Moreover, constraint-based microbiome community modelling using the Human Microbiome data (n = 149) was performed to predict and analyse the contribution of the microbiome to the human methanol pools through bacterial fibre degradation. Finally, we employed prospective survival analysis in the SHIP-START-0 cohort, testing urinary methanol on its predictive value for mortality. Results: Among 21 metabolites associated with 17 dietary FFQ variables after correction for multiple testing, urinary methanol emerged as the top hit for a range of plant-derived food items. In line with this, constraint-based community modelling demonstrated that gut microbiomes can produce methanol via pectin degradation with the genera Bacteroides (68.9
%K Humans
%K Biomarkers: urine
%K Methanol: urine
%K Methanol: metabolism
%K Metabolomics
%K Male
%K Gastrointestinal Microbiome: physiology
%K Female
%K Middle Aged
%K Diet
%K Adult
%K Host Microbial Interactions
%K Aged
%K Biomarkers (NLM Chemicals)
%K Methanol (NLM Chemicals)
%F PUB:(DE-HGF)16
%9 Journal Article
%$ pmid:40856313
%R 10.1039/D5FO00761E
%U https://pub.dzne.de/record/281359