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Integration of epidemiologic, pharmacologic, genetic and gut microbiome data in a drug-metabolite atlas

Authors :
Liu, J.
Liu, J.
Lahousse, L.
Nivard, M.G.
Bot, M.
Chen, L.M.
van Klinken, J.B.
Thesing, C.S.
Beekman, M.
van den Akker, E.B.
Slieker, R.C.
Waterham, E.
van der Kallen, C.J.H.
de Boer, I.
Li-Gao, R.F.
Vojinovic, D.
Amin, N.
Radjabzadeh, D.
Kraaij, R.
Alferink, L.J.M.
Murad, S.D.
Uitterlinden, A.G.
Willemsen, G.
Pool, R.
Milaneschi, Y.
van Heemst, D.
Suchiman, H.E.D.
Rutters, F.
Elders, P.J.M.
Beulens, J.W.J.
van der Heijden, A.A.W.A.
van Greevenbroek, M.M.J.
Arts, I.C.W.
Onderwater, G.L.J.
van den Maagdenberg, A.M.J.M.
Mook-Kanamori, D.O.
Hankemeier, T.
Terwindt, G.M.
Stehouwer, C.D.A.
Geleijnse, J.M.
't Hart, L.M.
Slagboom, P.E.
van Dijk, K.W.
Zhernakova, A.
Fu, J.Y.
Penninx, B.W.J.H.
Boomsma, D.I.
Demirkan, A.
Stricker, B.H.C.
van Duijn, C.M.
Liu, J.
Liu, J.
Lahousse, L.
Nivard, M.G.
Bot, M.
Chen, L.M.
van Klinken, J.B.
Thesing, C.S.
Beekman, M.
van den Akker, E.B.
Slieker, R.C.
Waterham, E.
van der Kallen, C.J.H.
de Boer, I.
Li-Gao, R.F.
Vojinovic, D.
Amin, N.
Radjabzadeh, D.
Kraaij, R.
Alferink, L.J.M.
Murad, S.D.
Uitterlinden, A.G.
Willemsen, G.
Pool, R.
Milaneschi, Y.
van Heemst, D.
Suchiman, H.E.D.
Rutters, F.
Elders, P.J.M.
Beulens, J.W.J.
van der Heijden, A.A.W.A.
van Greevenbroek, M.M.J.
Arts, I.C.W.
Onderwater, G.L.J.
van den Maagdenberg, A.M.J.M.
Mook-Kanamori, D.O.
Hankemeier, T.
Terwindt, G.M.
Stehouwer, C.D.A.
Geleijnse, J.M.
't Hart, L.M.
Slagboom, P.E.
van Dijk, K.W.
Zhernakova, A.
Fu, J.Y.
Penninx, B.W.J.H.
Boomsma, D.I.
Demirkan, A.
Stricker, B.H.C.
van Duijn, C.M.
Source :
Nature Medicine vol.26 (2020) date: 2020-01-01 nr.1 p.110-117 [ISSN 1078-8956]
Publication Year :
2020

Abstract

Progress in high-throughput metabolic profiling provides unprecedented opportunities to obtain insights into the effects of drugs on human metabolism. The Biobanking BioMolecular Research Infrastructure of the Netherlands has constructed an atlas of drug-metabolite associations for 87 commonly prescribed drugs and 150 clinically relevant plasma-based metabolites assessed by proton nuclear magnetic resonance. The atlas includes a meta-analysis of ten cohorts (18,873 persons) and uncovers 1,071 drug-metabolite associations after evaluation of confounders including co-treatment. We show that the effect estimates of statins on metabolites from the cross-sectional study are comparable to those from intervention and genetic observational studies. Further data integration links proton pump inhibitors to circulating metabolites, liver function, hepatic steatosis and the gut microbiome. Our atlas provides a tool for targeted experimental pharmaceutical research and clinical trials to improve drug efficacy, safety and repurposing. We provide a web-based resource for visualization of the atlas (http://bbmri.researchlumc.nl/atlas/).

Details

Database :
OAIster
Journal :
Nature Medicine vol.26 (2020) date: 2020-01-01 nr.1 p.110-117 [ISSN 1078-8956]
Notes :
DOI: 10.1038/s41591-019-0722-x, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1298679474
Document Type :
Electronic Resource