Articles producció científica> Bioquímica i Biotecnologia

Lipid metabolic networks, Mediterranean diet and cardiovascular disease in the PREDIMED trial

  • Identification data

    Identifier: imarina:4140213
    Authors:
    Wang DDZheng YToledo ERazquin CRuiz-Canela MGuasch-Ferré MYu ECorella DGómez-Gracia EFiol MEstruch RRos ELapetra JFito MAros FSerra-Majem LClish CBSalas-Salvadó JLiang LMartínez-González MAHu FB
    Abstract:
    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, warr
  • Others:

    Author, as appears in the article.: 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
    Department: Bioquímica i Biotecnologia
    URV's Author/s: Salas Salvadó, Jorge
    Keywords: Mediterranean diet Lipid network Cardiovascular disease
    Abstract: 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.
    Thematic Areas: 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
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    ISSN: 03005771
    Author's mail: jordi.salas@urv.cat
    Author identifier: 0000-0003-2700-7459
    Record's date: 2024-09-07
    Papper version: info:eu-repo/semantics/publishedVersion
    Link to the original source: https://academic.oup.com/ije/article/47/6/1830/5181400
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Papper original source: International Journal Of Epidemiology. 47 (6): 1830-1845
    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
    Article's DOI: 10.1093/ije/dyy198
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2018
    Publication Type: Journal Publications
  • Keywords:

    Epidemiology,Medicine (Miscellaneous),Public, Environmental & Occupational Health
    Mediterranean diet
    Lipid network
    Cardiovascular disease
    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
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