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Individual variations in cardiovascular-disease-related protein levels are driven by genetics and gut microbiome

Despite a growing body of evidence, the role of the gut microbiome in cardiovascular diseases (CVDs) is still unclear. Here we present a systems-genome-wide and metagenome-wide association study on plasma concentrations of 92 CVD-related proteins in the population cohort Lifelines-DEEP. We identifie...

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Detalles Bibliográficos
Autores principales: Zhernakova, Daria V., Le, Trang H., Kurilshikov, Alexander, Atanasovska, Biljana, Bonder, Marc Jan, Sanna, Serena, Claringbould, Annique, Võsa, Urmo, Deelen, Patrick, Franke, Lude, de Boer, Rudolf A., Kuipers, Folkert, Netea, Mihai G., Hofker, Marten H., Wijmenga, Cisca, Zhernakova, Alexandra, Fu, Jingyuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6241851/
https://www.ncbi.nlm.nih.gov/pubmed/30250126
http://dx.doi.org/10.1038/s41588-018-0224-7
Descripción
Sumario:Despite a growing body of evidence, the role of the gut microbiome in cardiovascular diseases (CVDs) is still unclear. Here we present a systems-genome-wide and metagenome-wide association study on plasma concentrations of 92 CVD-related proteins in the population cohort Lifelines-DEEP. We identified genetic components for 73 proteins and microbial associations for 41 proteins, of which 31 were associated to both. The genetic and microbial factors identified mostly exert additive effects and collectively explain up to 76.6% of inter-individual variation (17.5% on average). Genetics contributes most to concentrations of immune-related proteins, while the gut microbiome contributes most to proteins involved in metabolism and intestinal health. We found several host-microbe interactions that impact proteins involved in epithelial function, lipid metabolism and central nervous system function. This study reveals important evidence for a joint genetic and microbial effect in cardiovascular disease and provides directions for future applications in personalized medicine.