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dc.contributorUniversitat Ramon Llull. Facultat de Ciències de la Salut Blanquerna
dc.contributor.authorDomínguez-Barragán, Jorge
dc.contributor.authorFernández Sanlés, Alba
dc.contributor.authorHernáez, Álvaro
dc.contributor.authorLlauradó-Pont, Joana
dc.contributor.authorMarrugat, Jaume
dc.contributor.authorRobinson, Oliver
dc.contributor.authorTzoulaki, Ioanna
dc.contributor.authorElosua Llanos, Roberto
dc.contributor.authorLassale, Camille
dc.date.accessioned2024-01-26T20:47:44Z
dc.date.available2024-01-26T20:47:44Z
dc.date.created2023-05
dc.date.issued2023-10
dc.identifier.urihttp://hdl.handle.net/20.500.14342/3793
dc.description.abstractAims Diet quality might influence cardiometabolic health through epigenetic changes, but this has been little investigated in adults. Our aims were to identify cytosine–phosphate–guanine (CpG) dinucleotides associated with diet quality by conducting an epigenome-wide association study (EWAS) based on blood DNA methylation (DNAm) and to assess how diet-related CpGs associate with inherited susceptibility to cardiometabolic traits: body mass index (BMI), systolic blood pressure (SBP), triglycerides, type 2 diabetes (T2D), and coronary heart disease (CHD). Methods and results Meta-EWAS including 5274 participants in four cohorts from Spain, the USA, and the UK. We derived three dietary scores (exposures) to measure adherence to a Mediterranean diet, to a healthy plant-based diet, and to the Dietary Approaches to Stop Hypertension. Blood DNAm (outcome) was assessed with the Infinium arrays Human Methylation 450K BeadChip and MethylationEPIC BeadChip. For each diet score, we performed linear EWAS adjusted for age, sex, blood cells, smoking and technical variables, and BMI in a second set of models. We also conducted Mendelian randomization analyses to assess the potential causal relationship between diet-related CpGs and cardiometabolic traits. We found 18 differentially methylated CpGs associated with dietary scores (P < 1.08 × 10−7; Bonferroni correction), of which 12 were previously associated with cardiometabolic traits. Enrichment analysis revealed overrepresentation of diet-associated genes in pathways involved in inflammation and cardiovascular disease. Mendelian randomization analyses suggested that genetically determined methylation levels corresponding to lower diet quality at cg02079413 (SNORA54), cg02107842 (MAST4), and cg23761815 (SLC29A3) were causally associated with higher BMI and at cg05399785 (WDR8) with greater SBP, and methylation levels associated with higher diet quality at cg00711496 (PRMT1) with lower BMI, T2D risk, and CHD risk and at cg0557921 (AHRR) with lower CHD risk. Conclusion Diet quality in adults was related to differential methylation in blood at 18 CpGs, some of which related to cardiometabolic health.ca
dc.format.extent12 p.ca
dc.language.isoengca
dc.publisherOxford University Pressca
dc.relation.ispartofEuropean Journal of Preventive Cardiology, 2024, 31, 191-202ca
dc.rights© L'autor/aca
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subject.otherMetilacióca
dc.subject.otherADNca
dc.subject.otherDietaca
dc.subject.otherQualitat de la dietaca
dc.subject.otherSistema cardiovascular -- Malaltiesca
dc.subject.otherEpidemiologiaca
dc.subject.otherNutricióca
dc.titleBlood DNA methylation signature of diet quality and association with cardiometabolic traitsca
dc.typeinfo:eu-repo/semantics/articleca
dc.rights.accessLevelinfo:eu-repo/semantics/openAccess
dc.embargo.termscapca
dc.subject.udc613ca
dc.subject.udc616.1ca
dc.identifier.doihttps://doi.org/10.1093/eurjpc/zwad317ca
dc.relation.projectIDinfo:eu-repo/grantAgreement/La Caixa/ID 100010434ca
dc.relation.projectIDinfo:eu-repo/grantAgreement/H2020/MSC/Grant agreement 847 648ca
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO/ISCIII i FEDER/FIS PI12/00232ca
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO/ISCIII i FEDER/FIS PI15/00051ca
dc.relation.projectIDinfo:eu-repo/grantAgreement/SUR del DEC/SGR/PERIS SLT002/16/00088ca
dc.relation.projectIDinfo:eu-repo/grantAgreement/SUR del DEC/SGR/2017SGR222ca
dc.relation.projectIDinfo:eu-repo/grantAgreement/British Heart Foundation/AA/18/1/34219ca
dc.relation.projectIDinfo:eu-repo/grantAgreement/MRC/MC_UU_00011/6ca
dc.relation.projectIDinfo:eu-repo/grantAgreement/UKRI/MR/S03532X/1ca
dc.relation.projectIDinfo:eu-repo/grantAgreement/NHLBI i BU/N01-HC-25195ca
dc.relation.projectIDinfo:eu-repo/grantAgreement/NHLBI i BU/HHSN268201500001Ica
dc.relation.projectIDinfo:eu-repo/grantAgreement/NHLBI/N01WH22110ca
dc.relation.projectIDinfo:eu-repo/grantAgreement/NHLBI/24152ca
dc.relation.projectIDinfo:eu-repo/grantAgreement/NHLBI/32100-2ca
dc.relation.projectIDinfo:eu-repo/grantAgreement/NHLBI/32105-6ca
dc.relation.projectIDinfo:eu-repo/grantAgreement/NHLBI/32108-9ca
dc.relation.projectIDinfo:eu-repo/grantAgreement/NHLBI/32111-13ca
dc.relation.projectIDinfo:eu-repo/grantAgreement/NHLBI/32115ca
dc.relation.projectIDinfo:eu-repo/grantAgreement/NHLBI/32115ca
dc.relation.projectIDinfo:eu-repo/grantAgreement/NHLBI/32118-32119ca
dc.relation.projectIDinfo:eu-repo/grantAgreement/NHLBI/32122ca
dc.relation.projectIDinfo:eu-repo/grantAgreement/NHLBI/42107-26ca
dc.relation.projectIDinfo:eu-repo/grantAgreement/NHLBI/42129-32ca
dc.relation.projectIDinfo:eu-repo/grantAgreement/NHLBI/44221ca
dc.description.versioninfo:eu-repo/semantics/publishedVersionca


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