The faecal metabolome and its determinants in inflammatory bowel disease

Vich Vila, A.; Hu, S.; Andreu-Sanchez, S.; Collij, V.; Jansen, B. H.; Augustijn, H. E.; Bolte, L.; Ruigrok, R. A. A. A.; Abu-Ali, G.; Giallourakis, C.; Schneider, J.; Parkinson, J.; Al Garawi, A.; Zhernakova, A.; Gacesa, R.; Fu, J.; Weersma, R. K.

doi:10.1101/2022.06.15.495746

bioRxiv · 10.1101/2022.06.15.495746

The faecal metabolome and its determinants in inflammatory bowel disease

Vich Vila, A.·Hu, S.·Andreu-Sanchez, S.·Collij, V.·Jansen, B. H.·Augustijn, H. E.·Bolte, L.·Ruigrok, R. A. A. A.·Abu-Ali, G.·Giallourakis, C.·Schneider, J.·Parkinson, J.·Al Garawi, A.·Zhernakova, A.·Gacesa, R.·Fu, J.·Weersma, R. K.

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Abstract

ObjectiveInflammatory bowel disease (IBD) is a multifactorial immune-mediated inflammatory disease of the intestine, comprising Crohns disease and ulcerative colitis. By characterising metabolites in faeces, combined with faecal metagenomics, host genetics and clinical characteristics, we aimed to unravel metabolic alterations in IBD. DesignWe measured 1,684 different faecal metabolites and 8 short-chain and branched-chain fatty acids in stool samples of 424 IBD patients and 255 non-IBD controls. Regression analyses were used to compare concentrations of metabolites between cases and controls and determine the relationship between metabolites and each participants lifestyle, clinical characteristics and gut microbiota composition. Moreover, genome-wide association analysis was conducted on faecal metabolite levels. ResultsWe identified over 300 molecules that were differentially abundant in the faeces of patients with IBD. The ratio between a sphingolipid and L-urobilin could discriminate between IBD and non-IBD samples (AUC = 0.85). We found changes in the bile acid pool in patients with dysbiotic microbial communities and a strong association between faecal metabolome and gut microbiota. For example, the abundance of Ruminococcus gnavus was positively associated with tryptamine levels. In addition, we found 158 associations between metabolites and dietary patterns, and polymorphisms near NAT2 strongly associated with coffee metabolism. ConclusionIn this large-scale analysis, we identified alterations in the metabolome of patients with IBD that are independent of commonly overlooked confounders such as diet and surgical history. Considering the influence of the microbiome on faecal metabolites, our results pave the way for future interventions targeting intestinal inflammation.

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Vich Vila, A., Hu, S., Andreu-Sanchez, S., Collij, V., Jansen, B. H., Augustijn, H. E., Bolte, L., Ruigrok, R. A. A. A., Abu-Ali, G., Giallourakis, C., Schneider, J., Parkinson, J., Al Garawi, A., Zhernakova, A., Gacesa, R., Fu, J., Weersma, R. K.. 2022-06-15. The faecal metabolome and its determinants in inflammatory bowel disease. https://doi.org/10.1101/2022.06.15.495746

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