Literature DB >> 36216932

Influence of the microbiome, diet and genetics on inter-individual variation in the human plasma metabolome.

Lianmin Chen1,2,3,4, Daria V Zhernakova1,5, Alexander Kurilshikov1, Sergio Andreu-Sánchez1,2, Daoming Wang1, Hannah E Augustijn1,6, Arnau Vich Vila1,7, Rinse K Weersma7, Marnix H Medema6, Mihai G Netea8,9, Folkert Kuipers2,10, Cisca Wijmenga1, Alexandra Zhernakova1, Jingyuan Fu11,12.   

Abstract

The levels of the thousands of metabolites in the human plasma metabolome are strongly influenced by an individual's genetics and the composition of their diet and gut microbiome. Here, by assessing 1,183 plasma metabolites in 1,368 extensively phenotyped individuals from the Lifelines DEEP and Genome of the Netherlands cohorts, we quantified the proportion of inter-individual variation in the plasma metabolome explained by different factors, characterizing 610, 85 and 38 metabolites as dominantly associated with diet, the gut microbiome and genetics, respectively. Moreover, a diet quality score derived from metabolite levels was significantly associated with diet quality, as assessed by a detailed food frequency questionnaire. Through Mendelian randomization and mediation analyses, we revealed putative causal relationships between diet, the gut microbiome and metabolites. For example, Mendelian randomization analyses support a potential causal effect of Eubacterium rectale in decreasing plasma levels of hydrogen sulfite-a toxin that affects cardiovascular function. Lastly, based on analysis of the plasma metabolome of 311 individuals at two time points separated by 4 years, we observed a positive correlation between the stability of metabolite levels and the amount of variance in the levels of that metabolite that could be explained in our analysis. Altogether, characterization of factors that explain inter-individual variation in the plasma metabolome can help design approaches for modulating diet or the gut microbiome to shape a healthy metabolome.
© 2022. The Author(s).

Entities:  

Year:  2022        PMID: 36216932     DOI: 10.1038/s41591-022-02014-8

Source DB:  PubMed          Journal:  Nat Med        ISSN: 1078-8956            Impact factor:   87.241


  61 in total

1.  Human metabolic individuality in biomedical and pharmaceutical research.

Authors:  So-Youn Shin; Ann-Kristin Petersen; Nicole Soranzo; Christian Gieger; Karsten Suhre; Robert P Mohney; David Meredith; Brigitte Wägele; Elisabeth Altmaier; Panos Deloukas; Jeanette Erdmann; Elin Grundberg; Christopher J Hammond; Martin Hrabé de Angelis; Gabi Kastenmüller; Anna Köttgen; Florian Kronenberg; Massimo Mangino; Christa Meisinger; Thomas Meitinger; Hans-Werner Mewes; Michael V Milburn; Cornelia Prehn; Johannes Raffler; Janina S Ried; Werner Römisch-Margl; Nilesh J Samani; Kerrin S Small; H-Erich Wichmann; Guangju Zhai; Thomas Illig; Tim D Spector; Jerzy Adamski
Journal:  Nature       Date:  2011-08-31       Impact factor: 49.962

2.  The long-term genetic stability and individual specificity of the human gut microbiome.

Authors:  Lianmin Chen; Daoming Wang; Sanzhima Garmaeva; Alexander Kurilshikov; Arnau Vich Vila; Ranko Gacesa; Trishla Sinha; Eran Segal; Rinse K Weersma; Cisca Wijmenga; Alexandra Zhernakova; Jingyuan Fu
Journal:  Cell       Date:  2021-04-09       Impact factor: 41.582

3.  Causal relationships among the gut microbiome, short-chain fatty acids and metabolic diseases.

Authors:  Serena Sanna; Natalie R van Zuydam; Anubha Mahajan; Alexander Kurilshikov; Arnau Vich Vila; Urmo Võsa; Zlatan Mujagic; Ad A M Masclee; Daisy M A E Jonkers; Marije Oosting; Leo A B Joosten; Mihai G Netea; Lude Franke; Alexandra Zhernakova; Jingyuan Fu; Cisca Wijmenga; Mark I McCarthy
Journal:  Nat Genet       Date:  2019-02-18       Impact factor: 38.330

4.  Development of the food-based Lifelines Diet Score (LLDS) and its application in 129,369 Lifelines participants.

Authors:  Petra C Vinke; Eva Corpeleijn; Louise H Dekker; David R Jacobs; Gerjan Navis; Daan Kromhout
Journal:  Eur J Clin Nutr       Date:  2018-06-12       Impact factor: 4.016

5.  A reference map of potential determinants for the human serum metabolome.

Authors:  Noam Bar; Tal Korem; Omer Weissbrod; David Zeevi; Daphna Rothschild; Sigal Leviatan; Noa Kosower; Maya Lotan-Pompan; Adina Weinberger; Caroline I Le Roy; Cristina Menni; Alessia Visconti; Mario Falchi; Tim D Spector; Jerzy Adamski; Paul W Franks; Oluf Pedersen; Eran Segal
Journal:  Nature       Date:  2020-11-11       Impact factor: 49.962

6.  Microbiome connections with host metabolism and habitual diet from 1,098 deeply phenotyped individuals.

Authors:  Francesco Asnicar; Sarah E Berry; Ana M Valdes; Long H Nguyen; Gianmarco Piccinno; David A Drew; Emily Leeming; Rachel Gibson; Caroline Le Roy; Haya Al Khatib; Lucy Francis; Mohsen Mazidi; Olatz Mompeo; Mireia Valles-Colomer; Adrian Tett; Francesco Beghini; Léonard Dubois; Davide Bazzani; Andrew Maltez Thomas; Chloe Mirzayi; Asya Khleborodova; Sehyun Oh; Rachel Hine; Christopher Bonnett; Joan Capdevila; Serge Danzanvilliers; Francesca Giordano; Ludwig Geistlinger; Levi Waldron; Richard Davies; George Hadjigeorgiou; Jonathan Wolf; José M Ordovás; Christopher Gardner; Paul W Franks; Andrew T Chan; Curtis Huttenhower; Tim D Spector; Nicola Segata
Journal:  Nat Med       Date:  2021-01-11       Impact factor: 87.241

7.  Genomewide landscape of gene-metabolome associations in Escherichia coli.

Authors:  Tobias Fuhrer; Mattia Zampieri; Daniel C Sévin; Uwe Sauer; Nicola Zamboni
Journal:  Mol Syst Biol       Date:  2017-01-16       Impact factor: 11.429

8.  Cohort profile: LifeLines DEEP, a prospective, general population cohort study in the northern Netherlands: study design and baseline characteristics.

Authors:  Ettje F Tigchelaar; Alexandra Zhernakova; Jackie A M Dekens; Gerben Hermes; Agnieszka Baranska; Zlatan Mujagic; Morris A Swertz; Angélica M Muñoz; Patrick Deelen; Maria C Cénit; Lude Franke; Salome Scholtens; Ronald P Stolk; Cisca Wijmenga; Edith J M Feskens
Journal:  BMJ Open       Date:  2015-08-28       Impact factor: 2.692

9.  The Genome of the Netherlands: design, and project goals.

Authors:  Dorret I Boomsma; Cisca Wijmenga; Eline P Slagboom; Morris A Swertz; Lennart C Karssen; Abdel Abdellaoui; Kai Ye; Victor Guryev; Martijn Vermaat; Freerk van Dijk; Laurent C Francioli; Jouke Jan Hottenga; Jeroen F J Laros; Qibin Li; Yingrui Li; Hongzhi Cao; Ruoyan Chen; Yuanping Du; Ning Li; Sujie Cao; Jessica van Setten; Androniki Menelaou; Sara L Pulit; Jayne Y Hehir-Kwa; Marian Beekman; Clara C Elbers; Heorhiy Byelas; Anton J M de Craen; Patrick Deelen; Martijn Dijkstra; Johan T den Dunnen; Peter de Knijff; Jeanine Houwing-Duistermaat; Vyacheslav Koval; Karol Estrada; Albert Hofman; Alexandros Kanterakis; David van Enckevort; Hailiang Mai; Mathijs Kattenberg; Elisabeth M van Leeuwen; Pieter B T Neerincx; Ben Oostra; Fernanodo Rivadeneira; Eka H D Suchiman; Andre G Uitterlinden; Gonneke Willemsen; Bruce H Wolffenbuttel; Jun Wang; Paul I W de Bakker; Gert-Jan van Ommen; Cornelia M van Duijn
Journal:  Eur J Hum Genet       Date:  2013-05-29       Impact factor: 4.246

10.  An atlas of genetic influences on human blood metabolites.

Authors:  So-Youn Shin; Eric B Fauman; Ann-Kristin Petersen; Jan Krumsiek; Rita Santos; Jie Huang; Matthias Arnold; Idil Erte; Vincenzo Forgetta; Tsun-Po Yang; Klaudia Walter; Cristina Menni; Lu Chen; Louella Vasquez; Ana M Valdes; Craig L Hyde; Vicky Wang; Daniel Ziemek; Phoebe Roberts; Li Xi; Elin Grundberg; Melanie Waldenberger; J Brent Richards; Robert P Mohney; Michael V Milburn; Sally L John; Jeff Trimmer; Fabian J Theis; John P Overington; Karsten Suhre; M Julia Brosnan; Christian Gieger; Gabi Kastenmüller; Tim D Spector; Nicole Soranzo
Journal:  Nat Genet       Date:  2014-05-11       Impact factor: 38.330

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