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

BackgroundPerturbed 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. MethodsT... Full description

Journal Title: International Journal of Epidemiology 2018, Vol. 47(6), pp.1830-1845
Main Author: Wang, Dong D
Other Authors: Zheng, Yan , Toledo, Estefanía , Razquin, Cristina , Ruiz - Canela, Miguel , Guasch - Ferré, Marta , Yu, Edward , Corella, Dolores , Gómez - Gracia, Enrique , Fiol, Miquel , Estruch, Ramón , Ros, Emilio , Lapetra, José , Fito, Montserrat , Aros, Fernando , Serra - Majem, Lluis , Clish, Clary B , Salas - Salvadó, Jordi , Liang, Liming , Martínez - González, Miguel A , Hu, Frank B
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ID: ISSN: 0300-5771 ; E-ISSN: 1464-3685 ; DOI: 10.1093/ije/dyy198
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recordid: oxford10.1093/ije/dyy198
title: Lipid metabolic networks, Mediterranean diet and cardiovascular disease in the PREDIMED trial
format: Article
creator:
  • Wang, Dong D
  • Zheng, Yan
  • Toledo, Estefanía
  • Razquin, Cristina
  • Ruiz - Canela, Miguel
  • Guasch - Ferré, Marta
  • Yu, Edward
  • Corella, Dolores
  • Gómez - Gracia, Enrique
  • Fiol, Miquel
  • Estruch, Ramón
  • Ros, Emilio
  • Lapetra, José
  • Fito, Montserrat
  • Aros, Fernando
  • Serra - Majem, Lluis
  • Clish, Clary B
  • Salas - Salvadó, Jordi
  • Liang, Liming
  • Martínez - González, Miguel A
  • Hu, Frank B
subjects:
  • Lipid Network
  • Mediterranean Diet
  • Cardiovascular Disease
ispartof: International Journal of Epidemiology, 2018, Vol. 47(6), pp.1830-1845
description: BackgroundPerturbed 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. MethodsThis 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. ResultsLipid 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. ConclusionsThe 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.
language:
source:
identifier: ISSN: 0300-5771 ; E-ISSN: 1464-3685 ; DOI: 10.1093/ije/dyy198
fulltext: no_fulltext
issn:
  • 0300-5771
  • 03005771
  • 1464-3685
  • 14643685
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titleLipid metabolic networks, Mediterranean diet and cardiovascular disease in the PREDIMED trial
creatorWang, Dong D ; Zheng, Yan ; Toledo, Estefanía ; Razquin, Cristina ; Ruiz - Canela, Miguel ; Guasch - Ferré, Marta ; Yu, Edward ; Corella, Dolores ; Gómez - Gracia, Enrique ; Fiol, Miquel ; Estruch, Ramón ; Ros, Emilio ; Lapetra, José ; Fito, Montserrat ; Aros, Fernando ; Serra - Majem, Lluis ; Clish, Clary B ; Salas - Salvadó, Jordi ; Liang, Liming ; Martínez - González, Miguel A ; Hu, Frank B
ispartofInternational Journal of Epidemiology, 2018, Vol. 47(6), pp.1830-1845
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subjectLipid Network ; Mediterranean Diet ; Cardiovascular Disease
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descriptionBackgroundPerturbed 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. MethodsThis 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. ResultsLipid 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. ConclusionsThe 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.
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titleLipid metabolic networks, Mediterranean diet and cardiovascular disease in the PREDIMED trial
authorWang, Dong D ; Zheng, Yan ; Toledo, Estefanía ; Razquin, Cristina ; Ruiz - Canela, Miguel ; Guasch - Ferré, Marta ; Yu, Edward ; Corella, Dolores ; Gómez - Gracia, Enrique ; Fiol, Miquel ; Estruch, Ramón ; Ros, Emilio ; Lapetra, José ; Fito, Montserrat ; Aros, Fernando ; Serra - Majem, Lluis ; Clish, Clary B ; Salas - Salvadó, Jordi ; Liang, Liming ; Martínez - González, Miguel A ; Hu, Frank B
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atitleLipid metabolic networks, Mediterranean diet and cardiovascular disease in the PREDIMED trial
jtitleInternational Journal of Epidemiology
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date2018-12