| Title: | 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 |
| Published: | 4 Oct 2024 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/39365172/ |
| DOI: | https://doi.org/10.1093/eurjpc/zwae315 |
Publication 13281
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Abstract
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.</p>
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.</p>
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.</p>
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.</p>
40 Authors
- Fanchao Shi
- Rajiv Chowdhury
- Eleni Sofianopoulou
- Albert Koulman
- Luanluan Sun
- Marinka Steur
- Krasimira Aleksandrova
- Christina C Dahm
- Matthias B Schulze
- Yvonne T van der Schouw
- Claudia Agnoli
- Pilar Amiano
- Jolanda M A Boer
- Christian S Bork
- Natalia Cabrera-Castro
- Fabian Eichelmann
- Alexis Elbaz
- Marta Farràs
- Alicia K Heath
- Rudolf Kaaks
- Verena Katzke
- Pekka Keski-Rahkonen
- Giovanna Masala
- Conchi Moreno-Iribas
- Salvatore Panico
- Keren Papier
- Dafina Petrova
- J Ramón Quirós
- Fulvio Ricceri
- Gianluca Severi
- Anne Tjønneland
- Tammy Y N Tong
- Rosario Tumino
- Nick Wareham
- Elisabete Weiderpass
- Emanuele Di Angelantonio
- Nita Forouhi
- John Danesh
- Adam S Butterworth
- Stephen Kaptoge
1 Application
| Application ID | Title |
|---|---|
| 30418 | Biomarker profiling by NMR metabolomics for the study of chronic disease risk and underlying risk factors |
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