Association of circulating fatty acids with cardiovascular disease risk: Analysis of individual-level data in three large prospective cohorts and updated meta-analysis.


Journal

European journal of preventive cardiology
ISSN: 2047-4881
Titre abrégé: Eur J Prev Cardiol
Pays: England
ID NLM: 101564430

Informations de publication

Date de publication:
04 Oct 2024
Historique:
received: 24 04 2024
revised: 21 05 2024
accepted: 02 10 2024
medline: 4 10 2024
pubmed: 4 10 2024
entrez: 4 10 2024
Statut: aheadofprint

Résumé

Associations of saturated and unsaturated fatty acids (FAs) with cardiovascular disease (CVD) remain controversial. We therefore aimed to investigate the prospective associations of objectively measured FAs with CVD, including incident coronary heart disease (CHD) and stroke, as well as CVD mortality. Circulating FA concentrations expressed as the percentage of total FAs were assayed in 172,891 participants without prior vascular disease at baseline from the European Prospective Investigation into Cancer and Nutrition-CVD (EPIC-CVD) (7,343 CHD; 6,499 stroke), UK Biobank (1,825; 1,474), and INTERVAL (285; 209) cohort studies. Hazard ratio (HR) per 1-standard deviation (SD) higher FA concentrations was estimated using Cox regression models and pooled by random-effects meta-analysis. Systematic reviews with meta-analysis published by 6 May 2023 on associations between FAs and CVDs were systematically searched and updated meta-analyses using random-effects model were conducted. Evidence from randomized controlled trials (RCTs) was also summarized. Higher concentrations of total saturated FAs (SFAs) were associated with higher cardiovascular risks in the combined analysis, with differential findings noted for SFA subtypes in further analysis restricted to EPIC-CVD: positive associations for even-chain SFA [HR for CHD 1.24 (95% CI: 1.18-1.32); stroke 1.23 (1.10-1.38)] and negative associations for odd-chain [0.82 (0.76-0.87); 0.73 (0.67-0.78)] and longer-chain [0.95 (0.80-1.12); 0.84 (0.72-0.99)] SFA. In the combined analysis, total n-3 polyunsaturated FA (PUFA) [0.91 (0.85-0.97)], including docosahexaenoic acid (DHA) [0.91 (0.84-0.98)], was negatively associated with incident CHD risk. Similarly, total n-6 PUFA [0.94 (0.91-0.98)], including linoleic acid (LA) [0.89 (0.83-0.95)], was negatively associated with incident stroke risk. By contrast, more detailed analyses in EPIC-CVD revealed that several downstream n-6 PUFAs of LA were positively associated with CHD risk. Updated meta-analyses of 37 FAs including 49 non-overlapping studies, involving between 7,787 to 22,802 CHD and 6,499 to 14,221 stroke cases, showed broadly similar results as our combined empirical analysis and further suggested significant inverse associations of individual long-chain n-3 PUFAs and LA on both CHD and stroke. The findings of long-chain n-3 PUFAs were consistent with those from published RCTs on CHD despite insufficient evidence in monotherapy, while RCT evidence remained unclear for the rest of the explored FAs. Our study provides an overview of the most recent evidence on the associations between objectively measured FAs and CVD outcomes. Collectively, the data reveals notable differences in associations by SFA subtypes and calls for further studies, especially RCTs, to explore these links. We conducted the largest analysis to date to examine the association of circulating saturated and unsaturated fatty acids, either individually or in combination, with incident cardiovascular disease outcomes. Our study reinforces that cardiovascular disease associations vary importantly across saturated fatty acid subtypes, with positive associations for even-chain saturated fatty acids but negative associations for odd-chain and longer-chain saturated fatty acids, challenging the current broad dietary recommendations focused solely on lowering overall saturated fat intake.Marine-derived n-3 polyunsaturated fatty acids and linoleic acid were negatively associated with both coronary heart disease and stroke, except for eicosapentaenoic acid which was null for stroke. It supports the potential cardiovascular benefits of individual marine-derived n-3 polyunsaturated fatty acids and linoleic acid and provides evidence to help inform currently inconsistent and insufficient trial evidence.

Sections du résumé

BACKGROUND BACKGROUND
Associations of saturated and unsaturated fatty acids (FAs) with cardiovascular disease (CVD) remain controversial. We therefore aimed to investigate the prospective associations of objectively measured FAs with CVD, including incident coronary heart disease (CHD) and stroke, as well as CVD mortality.
METHODS METHODS
Circulating FA concentrations expressed as the percentage of total FAs were assayed in 172,891 participants without prior vascular disease at baseline from the European Prospective Investigation into Cancer and Nutrition-CVD (EPIC-CVD) (7,343 CHD; 6,499 stroke), UK Biobank (1,825; 1,474), and INTERVAL (285; 209) cohort studies. Hazard ratio (HR) per 1-standard deviation (SD) higher FA concentrations was estimated using Cox regression models and pooled by random-effects meta-analysis. Systematic reviews with meta-analysis published by 6 May 2023 on associations between FAs and CVDs were systematically searched and updated meta-analyses using random-effects model were conducted. Evidence from randomized controlled trials (RCTs) was also summarized.
RESULTS RESULTS
Higher concentrations of total saturated FAs (SFAs) were associated with higher cardiovascular risks in the combined analysis, with differential findings noted for SFA subtypes in further analysis restricted to EPIC-CVD: positive associations for even-chain SFA [HR for CHD 1.24 (95% CI: 1.18-1.32); stroke 1.23 (1.10-1.38)] and negative associations for odd-chain [0.82 (0.76-0.87); 0.73 (0.67-0.78)] and longer-chain [0.95 (0.80-1.12); 0.84 (0.72-0.99)] SFA. In the combined analysis, total n-3 polyunsaturated FA (PUFA) [0.91 (0.85-0.97)], including docosahexaenoic acid (DHA) [0.91 (0.84-0.98)], was negatively associated with incident CHD risk. Similarly, total n-6 PUFA [0.94 (0.91-0.98)], including linoleic acid (LA) [0.89 (0.83-0.95)], was negatively associated with incident stroke risk. By contrast, more detailed analyses in EPIC-CVD revealed that several downstream n-6 PUFAs of LA were positively associated with CHD risk. Updated meta-analyses of 37 FAs including 49 non-overlapping studies, involving between 7,787 to 22,802 CHD and 6,499 to 14,221 stroke cases, showed broadly similar results as our combined empirical analysis and further suggested significant inverse associations of individual long-chain n-3 PUFAs and LA on both CHD and stroke. The findings of long-chain n-3 PUFAs were consistent with those from published RCTs on CHD despite insufficient evidence in monotherapy, while RCT evidence remained unclear for the rest of the explored FAs.
CONCLUSIONS CONCLUSIONS
Our study provides an overview of the most recent evidence on the associations between objectively measured FAs and CVD outcomes. Collectively, the data reveals notable differences in associations by SFA subtypes and calls for further studies, especially RCTs, to explore these links.
We conducted the largest analysis to date to examine the association of circulating saturated and unsaturated fatty acids, either individually or in combination, with incident cardiovascular disease outcomes. Our study reinforces that cardiovascular disease associations vary importantly across saturated fatty acid subtypes, with positive associations for even-chain saturated fatty acids but negative associations for odd-chain and longer-chain saturated fatty acids, challenging the current broad dietary recommendations focused solely on lowering overall saturated fat intake.Marine-derived n-3 polyunsaturated fatty acids and linoleic acid were negatively associated with both coronary heart disease and stroke, except for eicosapentaenoic acid which was null for stroke. It supports the potential cardiovascular benefits of individual marine-derived n-3 polyunsaturated fatty acids and linoleic acid and provides evidence to help inform currently inconsistent and insufficient trial evidence.

Autres résumés

Type: plain-language-summary (eng)
We conducted the largest analysis to date to examine the association of circulating saturated and unsaturated fatty acids, either individually or in combination, with incident cardiovascular disease outcomes. Our study reinforces that cardiovascular disease associations vary importantly across saturated fatty acid subtypes, with positive associations for even-chain saturated fatty acids but negative associations for odd-chain and longer-chain saturated fatty acids, challenging the current broad dietary recommendations focused solely on lowering overall saturated fat intake.Marine-derived n-3 polyunsaturated fatty acids and linoleic acid were negatively associated with both coronary heart disease and stroke, except for eicosapentaenoic acid which was null for stroke. It supports the potential cardiovascular benefits of individual marine-derived n-3 polyunsaturated fatty acids and linoleic acid and provides evidence to help inform currently inconsistent and insufficient trial evidence.

Identifiants

pubmed: 39365172
pii: 7810960
doi: 10.1093/eurjpc/zwae315
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© The Author(s) 2024. Published by Oxford University Press on behalf of the European Society of Cardiology.

Auteurs

Fanchao Shi (F)

BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Cambridge, UK.

Rajiv Chowdhury (R)

Stempel College of Public Health and Social Work, Florida International University, Miami, FL, USA.

Eleni Sofianopoulou (E)

BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Cambridge, UK.

Albert Koulman (A)

Medical Research Council Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK.

Luanluan Sun (L)

BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Cambridge, UK.

Marinka Steur (M)

Division of Human Nutrition and Health, Wageningen University, Wageningen, The Netherlands.

Krasimira Aleksandrova (K)

Biomarkers and Metabolism Research Group, Department of Epidemiological Methods and Etiological Research, Leibniz Institute for Prevention Research and Epidemiology, Bremen, Germany.
Faculty of Human and Health Sciences, University of Bremen, Bremen, Germany.

Christina C Dahm (CC)

Department of Public Health, Aarhus University, Aarhus, Denmark.

Matthias B Schulze (MB)

Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.
Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany.

Yvonne T van der Schouw (YT)

Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.

Claudia Agnoli (C)

Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.

Pilar Amiano (P)

Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP) Madrid Spain.
Ministry of Health of the Basque Government Sub Directorate for Public Health and Addictions of Gipuzkoa San Sebastian Spain.
Biodonostia Health Research Institute Epidemiology of Chronic and Communicable Diseases Group San Sebastian Spain.

Jolanda M A Boer (JMA)

National Institute of Public Health and the Environment, Bilthoven, The Netherlands.

Christian S Bork (CS)

Department of Cardiology, Aalborg University Hospital, Aalborg, Denmark.

Natalia Cabrera-Castro (N)

Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP) Madrid Spain.
Department of Epidemiology, Regional Health Council, IMIB-Arrixaca, Murcia, Spain.

Fabian Eichelmann (F)

Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.
German Center for Diabetes Research (DZD), Neuherberg, Germany.

Alexis Elbaz (A)

Paris-Saclay University, UVSQ, Inserm, Gustave Roussy, CESP, Villejuif, France.

Marta Farràs (M)

Unit of Nutrition and Cancer, Epidemiology Research Program, Catalan Institute of Oncology (ICO), Bellvitge Biomedical Research Institute (IDIBELL), 08908 L'Hospitalet de Llobregat, Spain.

Alicia K Heath (AK)

Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.

Rudolf Kaaks (R)

Department of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.

Verena Katzke (V)

Department of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.

Pekka Keski-Rahkonen (P)

Nutrition and Metabolism Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France.

Giovanna Masala (G)

Clinical Epidemiology Unit, Institute for cancer research, prevention and clinical network (ISPRO) Florence, Italy.

Conchi Moreno-Iribas (C)

Instituto de Salud Pública y Laboral de Navarra, 31003 Pamplona, Spain.
Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain.
Navarra Institute for Health Research (IdiSNA), 31008 Pamplona, Spain.

Salvatore Panico (S)

School of Medicine, Federico II University, Naples, Italy.

Keren Papier (K)

Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.

Dafina Petrova (D)

Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain.
Escuela Andaluza de Salud Pública (EASP), 18011 Granada, Spain.
Instituto de Investigación Biosanitaria ibsGRANADA, 18012 Granada, Spain.

J Ramón Quirós (JR)

Public Health Directorate, Asturias, Spain.

Fulvio Ricceri (F)

Centre for Biostatistics, Epidemiology, and Public Health (C-BEPH), Department of Clinical and Biological Sciences, University of Turin, Italy.

Gianluca Severi (G)

Paris-Saclay University, UVSQ, Inserm, Gustave Roussy, CESP, Villejuif, France.
Department of Statistics, Computer Science, Applications "G Parenti", University of Florence, Florence, Italy.

Anne Tjønneland (A)

The Danish Cancer Institute, Strandboulevarden 49, 2100 Copenhagen O, Denmark.
Department of Public Health, University of Copenghagen, Copenhagen, Denmark.

Tammy Y N Tong (TYN)

Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.

Rosario Tumino (R)

Hyblean Association for Epidemiological Research (AIRE -ONLUS), Ragusa, Italy.

Nick Wareham (N)

Medical Research Council Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK.

Elisabete Weiderpass (E)

International Agency for Research on Cancer (IARC/WHO), Lyon, France.

Emanuele Di Angelantonio (E)

BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Cambridge, UK.
BHF Centre of Research Excellence, School of Clinical Medicine, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK.
Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Hinxton, UK.
NIHR Blood and Transplant Research Unit in Donor Health and Behaviour, University of Cambridge, Cambridge, UK.
Health Data Science Centre, Human Technopole, Milan, Italy.

Nita Forouhi (N)

Medical Research Council Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK.

John Danesh (J)

BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Cambridge, UK.
BHF Centre of Research Excellence, School of Clinical Medicine, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK.
Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Hinxton, UK.
NIHR Blood and Transplant Research Unit in Donor Health and Behaviour, University of Cambridge, Cambridge, UK.
Department of Human Genetics, Wellcome Sanger Institute, Hinxton, UK.

Adam S Butterworth (AS)

BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Cambridge, UK.
BHF Centre of Research Excellence, School of Clinical Medicine, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK.
Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Hinxton, UK.
NIHR Blood and Transplant Research Unit in Donor Health and Behaviour, University of Cambridge, Cambridge, UK.

Stephen Kaptoge (S)

BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Cambridge, UK.
NIHR Blood and Transplant Research Unit in Donor Health and Behaviour, University of Cambridge, Cambridge, UK.

Classifications MeSH