2024-03-29T14:40:33Zhttp://repisalud.isciii.es/oai/requestoai:repisalud.isciii.es:20.500.12105/92872022-10-06T13:39:58Zcom_20.500.12105_2145com_20.500.12105_2051com_20.500.12105_2144col_20.500.12105_2146
Repisalud
author
Yin, Xiaoyan
author
Willinger, Christine M
author
Keefe, Joshua
author
Liu, Jun
author
Fernandez-Ortiz, Antonio
author
Ibáñez, Borja
author
Peñalvo, Jose L
author
Adourian, Aram
author
Chen, George
author
Corella, Dolores
author
Pamplona, Reinald
author
Portero-Otin, Manuel
author
Jove, Mariona
author
Courchesne, Paul
author
van Duijn, Cornelia M
author
Fuster, Valentin
author
Ordovas, Jose M
author
Demirkan, Ayşe
author
Larson, Martin G
author
Levy, Daniel
funder
National Institutes of Health (Estados Unidos)
funder
NIH - National Heart, Lung, and Blood Institute (NHLBI) (Estados Unidos)
funder
Centro Nacional de Investigaciones Cardiovasculares Carlos III (España)
funder
Banco Santander
funder
Instituto de Salud Carlos III
funder
Fundación ProCNIC
funder
Ministerio de Ciencia, Innovación y Universidades (España)
funder
AstraZeneca
funder
United States Department of Agriculture
funder
Ministerio de Economía y Competitividad (España)
funder
Unión Europea. Fondo Europeo de Desarrollo Regional (FEDER/ERDF)
funder
Government of Catalonia (España)
2020-03-19T11:33:12Z
2020-03-19T11:33:12Z
2020-01
EBioMedicine. 2020; 51:102520
23523964
http://hdl.handle.net/20.500.12105/9287
31877415
10.1016/j.ebiom.2019.10.046
2352-3964
EBioMedicine
BACKGROUND: 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.
eng
Biomarker
Cardiovascular disease
Dysglycemia
Dyslipidemia
Metabolic risk
Metabolic syndrome
Lipidomic profiling identifies signatures of metabolic risk
journal article
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URL
https://repisalud.isciii.es/bitstream/20.500.12105/9287/1/LipidomicProfilingIdentifiesSignatures_2020.pdf
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LipidomicProfilingIdentifiesSignatures_2020.pdf.txt
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https://repisalud.isciii.es/bitstream/20.500.12105/9287/14/LipidomicProfilingIdentifiesSignatures_2020_SupplMat.pdf.txt
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LipidomicProfilingIdentifiesSignatures_2020_SupplMat.pdf.txt