Integration of metabolomics, genomics, and immune phenotypes reveals the causal roles of metabolites in disease
Chu, Xiaojing; Jaeger, Martin; Beumer, Joep; Bakker, Olivier B.; Aguirre-Gamboa, Raul; Oosting, Marije; Smeekens, Sanne P.; Moorlag, Simone; Mourits, Vera P.; Koeken, Valerie A.C.M.; de Bree, Charlotte; Jansen, Trees; Mathews, Ian T.; Dao, Khoi; Najhawan, Mahan; Watrous, Jeramie D.; Joosten, Irma; Sharma, Sonia; Koenen, Hans J.P.M.; Withoff, Sebo; Jonkers, Iris H.; Netea-Maier, Romana T.; Xavier, Ramnik J.; Franke, Lude; Xu, Cheng Jian; Joosten, Leo A.B.; Sanna, Serena; Jain, Mohit; Kumar, Vinod; Clevers, Hans; Wijmenga, Cisca; Netea, Mihai G.; Li, Yang
(2021) Genome Biology, volume 22, issue 1, pp. 1 - 22
(Article)
Abstract
Background: Recent studies highlight the role of metabolites in immune diseases, but it remains unknown how much of this effect is driven by genetic and non-genetic host factors. Result: We systematically investigate circulating metabolites in a cohort of 500 healthy subjects (500FG) in whom immune function and activity are deeply
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measured and whose genetics are profiled. Our data reveal that several major metabolic pathways, including the alanine/glutamate pathway and the arachidonic acid pathway, have a strong impact on cytokine production in response to ex vivo stimulation. We also examine the genetic regulation of metabolites associated with immune phenotypes through genome-wide association analysis and identify 29 significant loci, including eight novel independent loci. Of these, one locus (rs174584-FADS2) associated with arachidonic acid metabolism is causally associated with Crohn’s disease, suggesting it is a potential therapeutic target. Conclusion: This study provides a comprehensive map of the integration between the blood metabolome and immune phenotypes, reveals novel genetic factors that regulate blood metabolite concentrations, and proposes an integrative approach for identifying new disease treatment targets.
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Keywords: Genomics, Immune phenotypes, Integrative analysis, Metabolomics, Ecology, Evolution, Behavior and Systematics, Genetics, Cell Biology
ISSN: 1474-7596
Publisher: BioMed Central
Note: Funding Information: This work was supported in part by grants from the National Institutes of Health (NIH), including R01ES027595 and S10OD020025 (M.J.), R01CA199376 (S.S.), K01DK116917 (J.D.W.), and F31CA236405 (I.T.M.). X.C. was supported by the China Scholarship Council (201706040081). M.O. was supported by a Netherlands Organization for Scientific Research (NWO) VENI grant (016.176.006). R.J.X. was supported by NIH grants DK43351, AT009708, and AI137325. I.T.M. was additionally supported by NIH grant T32GM007752. M.G.N. was supported by an ERC Advanced Grant (833247), an IN-CONTROL CVON grant (CVON2012-03), and an NWO Spinoza prize (NWO SPI 94-212). This study was further supported by an ERC advanced grant (FP/2007-2013/ERC grant 2012-322698) and an NWO Spinoza prize (NWO SPI 92-266) to C.W.. Y.L. was supported by an ERC Starting Grant (948207) and the Radboud University Medical Centre Hypatia Grant (2018) for Scientific Research. Open Access funding enabled and organized by Projekt DEAL. Publisher Copyright: © 2021, The Author(s).
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