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dc.contributor.authorYin, Xiaoyan
dc.contributor.authorWillinger, Christine M
dc.contributor.authorKeefe, Joshua
dc.contributor.authorLiu, Jun
dc.contributor.authorFernandez-Ortiz, Antonio 
dc.contributor.authorIbáñez, Borja 
dc.contributor.authorPeñalvo, Jose L 
dc.contributor.authorAdourian, Aram
dc.contributor.authorChen, George
dc.contributor.authorCorella, Dolores
dc.contributor.authorPamplona, Reinald
dc.contributor.authorPortero-Otin, Manuel
dc.contributor.authorJove, Mariona
dc.contributor.authorCourchesne, Paul
dc.contributor.authorvan Duijn, Cornelia M
dc.contributor.authorFuster, Valentin 
dc.contributor.authorOrdovas, Jose M 
dc.contributor.authorDemirkan, Ayşe
dc.contributor.authorLarson, Martin G
dc.contributor.authorLevy, Daniel
dc.date.accessioned2020-03-19T11:33:12Z
dc.date.available2020-03-19T11:33:12Z
dc.date.issued2020-01
dc.identifier.citationEBioMedicine. 2020; 51:102520es_ES
dc.identifier.issn23523964es_ES
dc.identifier.urihttp://hdl.handle.net/20.500.12105/9287
dc.description.abstractBACKGROUND: Metabolic syndrome (MetS), the clustering of metabolic risk factors, is associated with cardiovascular disease risk. We sought to determine if dysregulation of the lipidome may contribute to metabolic risk factors. METHODS: We measured 154 circulating lipid species in 658 participants from the Framingham Heart Study (FHS) using liquid chromatography-tandem mass spectrometry and tested for associations with obesity, dysglycemia, and dyslipidemia. Independent external validation was sought in three independent cohorts. Follow-up data from the FHS were used to test for lipid metabolites associated with longitudinal changes in metabolic risk factors. RESULTS: Thirty-nine lipids were associated with obesity and eight with dysglycemia in the FHS. Of 32 lipids that were available for replication for obesity and six for dyslipidemia, 28 (88%) replicated for obesity and five (83%) for dysglycemia. Four lipids were associated with longitudinal changes in body mass index and four were associated with changes in fasting blood glucose in the FHS. CONCLUSIONS: We identified and replicated several novel lipid biomarkers of key metabolic traits. The lipid moieties identified in this study are involved in biological pathways of metabolic risk and can be explored for prognostic and therapeutic utility.es_ES
dc.description.sponsorshipThe Framingham Heart Study is funded by National Institutes of Health (NIH) contract N01-HC-25195. This study was made possible by a CRADA between BG Medicine, Inc., Boston University, and the NHLBI, and the laboratory work for this research was supported by the Division of Intramural Research of the National Heart, Lung, and Blood Institute (NHLBI). Analytical work was funded by the Division of Intramural Research of NHLBI as well as the Center for Information Technology, NIH, Bethesda, MD. The views expressed in this manuscript are those of the authors and do not necessarily represent the views of the National Heart, Lung, and Blood Institute; the National Institutes of Health; or the U.S. Department of Health and Human Services. The PESA study is supported by a non-competitive unrestricted grant shared between the National Center for Cardiovascular Research Carlos III (CNIC) and the Bank of Santander. The PESA study is a noncommercial study independent of the health and pharmaceutical industry. The CNIC is supported by the Spanish Ministry of Science, Innovation and Universities, the Instituto de Salud Carlos III, and the proCNIC Foundation. The study was partially funded by a grant from AstraZeneca (TANSNIP project). JMO is supported by the US Department of Agriculture, under agreement no. 8050-51000-098-00D. MPO and MJ acknowledge an Institute of Health Carlos III grant (PI 17-00134). This research was in part funded by the Spanish Ministry of Economy and Competitiveness, Institute of Health Carlos III (PI14/00328), co-financed by FEDER funds from the European Union ('A way to built Europe'), and the Generalitat of Catalonia, Department of Health(SLT002/16/00250) and Department of Business and Knowledge(2017SGR696) to R.P. MJ is a Serra Hunter Fellow.es_ES
dc.language.isoenges_ES
dc.publisherElsevier es_ES
dc.type.hasVersionVoRes_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectBiomarkeres_ES
dc.subjectCardiovascular diseasees_ES
dc.subjectDysglycemiaes_ES
dc.subjectDyslipidemiaes_ES
dc.subjectMetabolic riskes_ES
dc.subjectMetabolic syndromees_ES
dc.titleLipidomic profiling identifies signatures of metabolic riskes_ES
dc.typejournal articlees_ES
dc.rights.licenseAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.identifier.pubmedID31877415es_ES
dc.format.volume51es_ES
dc.format.page102520es_ES
dc.identifier.doi10.1016/j.ebiom.2019.10.046es_ES
dc.contributor.funderNational Institutes of Health (Estados Unidos) 
dc.contributor.funderNIH - National Heart, Lung, and Blood Institute (NHLBI) (Estados Unidos) 
dc.contributor.funderCentro Nacional de Investigaciones Cardiovasculares Carlos III (España) 
dc.contributor.funderBanco Santander 
dc.contributor.funderInstituto de Salud Carlos III 
dc.contributor.funderFundación ProCNIC 
dc.contributor.funderMinisterio de Ciencia, Innovación y Universidades (España) 
dc.contributor.funderAstraZeneca 
dc.contributor.funderUnited States Department of Agriculture 
dc.contributor.funderMinisterio de Economía y Competitividad (España) 
dc.contributor.funderUnión Europea. Fondo Europeo de Desarrollo Regional (FEDER/ERDF) 
dc.contributor.funderGovernment of Catalonia (España) 
dc.description.peerreviewedes_ES
dc.identifier.e-issn2352-3964es_ES
dc.relation.publisherversionhttps://doi.org/10.1016/j.ebiom.2019.10.046es_ES
dc.identifier.journalEBioMedicinees_ES
dc.repisalud.orgCNICCNIC::Grupos de investigación::Laboratorio Traslacional para la Imagen y Terapia Cardiovasculares_ES
dc.repisalud.orgCNICCNIC::Grupos de investigación::Imagen Cardiovascular y Estudios Poblacionaleses_ES
dc.repisalud.institucionCNICes_ES
dc.rights.accessRightsopen accesses_ES


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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Este Item está sujeto a una licencia Creative Commons: Attribution-NonCommercial-NoDerivatives 4.0 Internacional