Please use this identifier to cite or link to this item:
http://hdl.handle.net/10553/112673
DC Field | Value | Language |
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dc.contributor.author | Bulló, Mònica | en_US |
dc.contributor.author | Papandreou, Christopher | en_US |
dc.contributor.author | García-Gavilán, Jesus | en_US |
dc.contributor.author | Ruiz-Canela, Miguel | en_US |
dc.contributor.author | Li, Jun | en_US |
dc.contributor.author | Guasch-Ferré, Marta | en_US |
dc.contributor.author | Toledo, Estefanía | en_US |
dc.contributor.author | Clish, Clary | en_US |
dc.contributor.author | Corella, Dolores | en_US |
dc.contributor.author | Estruch, Ramon | en_US |
dc.contributor.author | Ros, Emilio | en_US |
dc.contributor.author | Fitó, Montserrat | en_US |
dc.contributor.author | Lee, Chih Hao | en_US |
dc.contributor.author | Pierce, Kerry | en_US |
dc.contributor.author | Razquin, Cristina | en_US |
dc.contributor.author | Arós, Fernando | en_US |
dc.contributor.author | Serra-Majem, Lluis | en_US |
dc.contributor.author | Liang, Liming | en_US |
dc.contributor.author | Martínez-González, Miguel A. | en_US |
dc.contributor.author | Hu, Frank B. | en_US |
dc.contributor.author | Salas-Salvadó, Jordi | en_US |
dc.date.accessioned | 2021-11-16T13:13:24Z | - |
dc.date.available | 2021-11-16T13:13:24Z | - |
dc.date.issued | 2021 | en_US |
dc.identifier.issn | 0026-0495 | en_US |
dc.identifier.uri | http://hdl.handle.net/10553/112673 | - |
dc.description.abstract | Background: Tricarboxylic acid (TCA) cycle deregulation may predispose to cardiovascular diseases, but the role of TCA cycle-related metabolites in the development of atrial fibrillation (AF) and heart failure (HF) remains unexplored. This study sought to investigate the association of TCA cycle-related metabolites with risk of AF and HF. Methods: We used two nested case-control studies within the PREDIMED study. During a mean follow-up for about 10 years, 512 AF and 334 HF incident cases matched by age (±5 years), sex and recruitment center to 616 controls and 433 controls, respectively, were included in this study. Baseline plasma levels of citrate, aconitate, isocitrate, succinate, malate and D/L-2-hydroxyglutarate were measured with liquid chromatography-tandem mass spectrometry. Multivariable conditional logistic regression models were fitted to estimate odds ratios (OR) and 95% confidence intervals (95% CI) for metabolites and the risk of AF or HF. Potential confounders included smoking, family history of premature coronary heart disease, physical activity, alcohol intake, body mass index, intervention groups, dyslipidemia, hypertension, type 2 diabetes and medication use. Results: Comparing extreme quartiles of metabolites, elevated levels of succinate, malate, citrate and D/L-2-hydroxyglutarate were associated with a higher risk of AF [ORQ4 vs. Q1 (95% CI): 1.80 (1.21–2.67), 2.13 (1.45–3.13), 1.87 (1.25–2.81) and 1.95 (1.31–2.90), respectively]. One SD increase in aconitate was directly associated with AF risk [OR (95% CI): 1.16 (1.01–1.34)]. The corresponding ORs (95% CI) for HF comparing extreme quartiles of malate, aconitate, isocitrate and D/L-2-hydroxyglutarate were 2.15 (1.29–3.56), 2.16 (1.25–3.72), 2.63 (1.56–4.44) and 1.82 (1.10–3.04), respectively. These associations were confirmed in an internal validation, except for aconitate and AF. Conclusion: These findings underscore the potential role of the TCA cycle in the pathogenesis of cardiac outcomes. | en_US |
dc.language | eng | en_US |
dc.relation.ispartof | Metabolism: Clinical and Experimental | en_US |
dc.source | Metabolism: Clinical and Experimental [ISSN 0026-0495], n. 125 | en_US |
dc.subject | 320501 Cardiología | en_US |
dc.subject.other | Atrial fibrillation | en_US |
dc.subject.other | Heart failure | en_US |
dc.subject.other | Hydroxyglutarate | en_US |
dc.subject.other | PREDIMED | en_US |
dc.subject.other | Tricarboxylic acid cycle metabolites | en_US |
dc.title | Tricarboxylic acid cycle related-metabolites and risk of atrial fibrillation and heart failure | en_US |
dc.type | info:eu-repo/semantics/Article | en_US |
dc.type | article | en_US |
dc.identifier.doi | 10.1016/j.metabol.2021.154915 | en_US |
dc.identifier.scopus | 2-s2.0-85117952072 | - |
dc.contributor.orcid | #NODATA# | - |
dc.contributor.orcid | #NODATA# | - |
dc.contributor.orcid | #NODATA# | - |
dc.contributor.orcid | #NODATA# | - |
dc.contributor.orcid | #NODATA# | - |
dc.contributor.orcid | #NODATA# | - |
dc.contributor.orcid | #NODATA# | - |
dc.contributor.orcid | #NODATA# | - |
dc.contributor.orcid | #NODATA# | - |
dc.contributor.orcid | #NODATA# | - |
dc.contributor.orcid | #NODATA# | - |
dc.contributor.orcid | #NODATA# | - |
dc.contributor.orcid | #NODATA# | - |
dc.contributor.orcid | #NODATA# | - |
dc.contributor.orcid | #NODATA# | - |
dc.contributor.orcid | #NODATA# | - |
dc.contributor.orcid | #NODATA# | - |
dc.contributor.orcid | #NODATA# | - |
dc.contributor.orcid | #NODATA# | - |
dc.contributor.orcid | #NODATA# | - |
dc.contributor.orcid | #NODATA# | - |
dc.investigacion | Ciencias de la Salud | en_US |
dc.type2 | Artículo | en_US |
dc.utils.revision | Sí | en_US |
dc.identifier.ulpgc | Sí | en_US |
dc.contributor.buulpgc | BU-MED | en_US |
dc.description.sjr | 2,733 | |
dc.description.jcr | 13,934 | |
dc.description.sjrq | Q1 | |
dc.description.jcrq | Q1 | |
dc.description.scie | SCIE | |
item.fulltext | Con texto completo | - |
item.grantfulltext | open | - |
crisitem.author.dept | GIR IUIBS: Nutrición | - |
crisitem.author.dept | IU de Investigaciones Biomédicas y Sanitarias | - |
crisitem.author.dept | Departamento de Ciencias Clínicas | - |
crisitem.author.orcid | 0000-0002-9658-9061 | - |
crisitem.author.parentorg | IU de Investigaciones Biomédicas y Sanitarias | - |
crisitem.author.fullName | Serra Majem, Luis | - |
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