Autor según el artículo: Wang DD; Zheng Y; Toledo E; Razquin C; Ruiz-Canela M; Guasch-Ferré M; Yu E; Corella D; Gómez-Gracia E; Fiol M; Estruch R; Ros E; Lapetra J; Fito M; Aros F; Serra-Majem L; Clish CB; Salas-Salvadó J; Liang L; Martínez-González MA; Hu FB
Departamento: Bioquímica i Biotecnologia
Autor/es de la URV: Salas Salvadó, Jorge
Palabras clave: Mediterranean diet Lipid network Cardiovascular disease
Resumen: Background: Perturbed lipid metabolic pathways may play important roles in the development of cardiovascular disease (CVD). However, existing epidemiological studies have focused more on discovering individual lipid metabolites for CVD risk prediction rather than assessing metabolic pathways. Methods: This study included a subcohort of 787 participants and all 230 incident CVD cases from the PREDIMED trial. Applying a network-based analytical method, we identified lipid subnetworks and clusters from a global network of 200 lipid metabolites and linked these subnetworks/clusters to CVD risk. Results: Lipid metabolites with more double bonds clustered within one subnetwork, whereas lipid metabolites with fewer double bonds clustered within other subnetworks. We identified 10 lipid clusters that were divergently associated with CVD risk. The hazard ratios [HRs, 95% confidence interval (CI)] of CVD per a 1-standard deviation (SD) increment in cluster score were 1.39 (1.17-1.66) for the hydroxylated phosphatidylcholine (HPC) cluster and 1.24 (1.11-1.37) for a cluster that included diglycerides and a monoglyceride with stearic acyl chain. Every 1-SD increase in the score of cluster that included highly unsaturated phospholipids and cholesterol esters was associated with an HR for CVD of 0.81 (95% CI, 0.67-0.98). Despite a suggestion that MedDiet modified the association between a subnetwork that included most lipids with a high degree of unsaturation and CVD, changes in lipid subnetworks/clusters during the first-year follow-up were not significantly different between intervention groups. Conclusions: The degree of unsaturation was a major determinant of the architecture of lipid metabolic network. Lipid clusters that strongly predicted CVD risk, such as the HPC cluster, warrant further functional investigations.
Áreas temáticas: Sociologia i política Serviço social Saúde coletiva Public, environmental & occupational health Odontología Nutrição Medicine (miscellaneous) Medicina iii Medicina ii Medicina i Matemática / probabilidade e estatística Interdisciplinar Geografía General o multidisciplinar General medicine Epidemiology Ensino Enfermagem Educação física Ciências biológicas iii Ciências biológicas ii Ciências biológicas i Ciência da computação Biotecnología Arquitetura e urbanismo Antropologia / arqueologia
Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
ISSN: 03005771
Direcció de correo del autor: jordi.salas@urv.cat
Identificador del autor: 0000-0003-2700-7459
Fecha de alta del registro: 2024-09-07
Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
Enlace a la fuente original: https://academic.oup.com/ije/article/47/6/1830/5181400
URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
Referencia al articulo segun fuente origial: International Journal Of Epidemiology. 47 (6): 1830-1845
Referencia de l'ítem segons les normes APA: Wang DD; Zheng Y; Toledo E; Razquin C; Ruiz-Canela M; Guasch-Ferré M; Yu E; Corella D; Gómez-Gracia E; Fiol M; Estruch R; Ros E; Lapetra J; Fito M; Ar (2018). Lipid metabolic networks, Mediterranean diet and cardiovascular disease in the PREDIMED trial. International Journal Of Epidemiology, 47(6), 1830-1845. DOI: 10.1093/ije/dyy198
DOI del artículo: 10.1093/ije/dyy198
Entidad: Universitat Rovira i Virgili
Año de publicación de la revista: 2018
Tipo de publicación: Journal Publications
Repositori URV