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. 2024 Jan 23;149(4):305-316.
doi: 10.1161/CIRCULATIONAHA.123.065530. Epub 2023 Dec 4.

Role of Polyunsaturated Fat in Modifying Cardiovascular Risk Associated With Family History of Cardiovascular Disease: Pooled De Novo Results From 15 Observational Studies

Affiliations

Role of Polyunsaturated Fat in Modifying Cardiovascular Risk Associated With Family History of Cardiovascular Disease: Pooled De Novo Results From 15 Observational Studies

Federica Laguzzi et al. Circulation. .

Abstract

Background: It is unknown whether dietary intake of polyunsaturated fatty acids (PUFA) modifies the cardiovascular disease (CVD) risk associated with a family history of CVD. We assessed interactions between biomarkers of low PUFA intake and a family history in relation to long-term CVD risk in a large consortium.

Methods: Blood and tissue PUFA data from 40 885 CVD-free adults were assessed. PUFA levels ≤25th percentile were considered to reflect low intake of linoleic, alpha-linolenic, and eicosapentaenoic/docosahexaenoic acids (EPA/DHA). Family history was defined as having ≥1 first-degree relative who experienced a CVD event. Relative risks with 95% CI of CVD were estimated using Cox regression and meta-analyzed. Interactions were assessed by analyzing product terms and calculating relative excess risk due to interaction.

Results: After multivariable adjustments, a significant interaction between low EPA/DHA and family history was observed (product term pooled RR, 1.09 [95% CI, 1.02-1.16]; P=0.01). The pooled relative risk of CVD associated with the combined exposure to low EPA/DHA, and family history was 1.41 (95% CI, 1.30-1.54), whereas it was 1.25 (95% CI, 1.16-1.33) for family history alone and 1.06 (95% CI, 0.98-1.14) for EPA/DHA alone, compared with those with neither exposure. The relative excess risk due to interaction results indicated no interactions.

Conclusions: A significant interaction between biomarkers of low EPA/DHA intake, but not the other PUFA, and a family history was observed. This novel finding might suggest a need to emphasize the benefit of consuming oily fish for individuals with a family history of CVD.

Keywords: biomarkers; cardiovascular diseases; family medical history; polyunsaturated fatty acids; precision medicine.

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Conflict of interest statement

Disclosures Dr Murphy reports having worked as a consultant for Pharmavite (until 2021). The remaining authors have reported no relationships relevant to the contents of this article. Dr Psaty serves on the steering committee of the Yale Open Data Access Project, funded by Johnson and Johnson.

Figures

Figure 1.
Figure 1.
EPA/DHA cut-off for family history A. Study-specific and pooled risk estimates for cardiovascular disease in relation to low EPA/DHA (≤25th percentile cut-off) and family history of cardiovascular disease (ie, family history A). A, Presence of low EPA/DHA in absence of family history definition A. B, Presence of family history A in absence of low EPA/DHA. C, Presence of low EPA/DHA, and family history A. A through C, Reference category consists of individuals with neither low EPA/DHA nor family history A. For pooled analyses, 15 408 individuals formed the reference category; 3408 were cases of cardiovascular disease. 60YO indicates Stockholm Cohort of 60-Year-Olds; AGES-R, Age, Gene/Environment Susceptibility–Reykjavik study; CHS, Cardiovascular Health Study; CIRCS, Circulatory Risk in Communities Study; CRHS, Costa Rica Heart Study; EPIC-Norfolk, European Prospective Investigation into Cancer and Nutrition–Norfolk study; EPIC-Potsdam, European Prospective Investigation into Cancer and Nutrition–Potsdam study; FHS, Framingham Heart Study–Offspring Cohort; Hisayama, Hisayama Study; InCHIANTI, Invecchiare in Chianti; KIHD, Kuopio Ischaemic Heart Disease Risk Factor study; MCCS, Melbourne Collaborative Cohort Study; MESA, Multi-Ethnic Study of Atherosclerosis; METSIM, Metabolic Syndrome in Men; and WHIMS, Women’s Health Initiative Memory Study.
Figure 2.
Figure 2.
LA cut-off for family history A. Study-specific and pooled risk estimates for cardiovascular disease in relation to low LA (≤25th percentile cut-off) and family history of cardiovascular disease (ie, family history A). A, Presence of low LA in absence of family history A. B, Presence of family history A in absence of low LA. C, Presence of low LA and family history A. A through C, Reference category consists of individuals with neither low LA nor family history A. For pooled analyses, 17 060 individuals formed the reference category; 3665 were cases of cardiovascular disease. 60YO indicates Stockholm Cohort of 60-Year-Olds; AGES-R, Age, Gene/Environment Susceptibility–Reykjavik study; CHS, Cardiovascular Health Study; CIRCS, Circulatory Risk in Communities Study; CRHS, Costa Rica Heart Study; EPIC-Norfolk, European Prospective Investigation into Cancer and Nutrition–Norfolk study; EPIC-Potsdam, European Prospective Investigation into Cancer and Nutrition–Potsdam study; FHS, Framingham Heart Study–Offspring Cohort; Hisayama, Hisayama Study; InCHIANTI, Invecchiare in Chianti; KIHD, Kuopio Ischaemic Heart Disease Risk Factor study; LA, linoleic acid; MCCS, Melbourne Collaborative Cohort Study; MESA, Multi-Ethnic Study of Atherosclerosis; METSIM, Metabolic Syndrome in Men; and WHIMS, Women’s Health Initiative Memory Study.
Figure 3.
Figure 3.
ALA cut-off for family history A. Study-specific and pooled risk estimates for cardiovascular disease in relation to low ALA (≤25th percentile cut-off) and family history of cardiovascular disease (ie, family history A). A, Presence of low ALA in absence of family history A. B, Presence of family history A in absence of low ALA. C, Presence of low ALA and family history A. A through C, Reference category consists of individuals with neither low ALA nor family history A. For pooled analyses, 17 210 individuals formed the reference category; 3715 were cases of cardiovascular disease. 60YO indicates Stockholm Cohort of 60-Year-Olds; AGES-R, Age, Gene/Environment Susceptibility–Reykjavik study; ALA, alpha linolenic acid; CHS, Cardiovascular Health Study; CIRCS, Circulatory Risk in Communities Study; CRHS, Costa Rica Heart Study; EPIC-Norfolk, European Prospective Investigation into Cancer and Nutrition–Norfolk study; EPIC-Potsdam, European Prospective Investigation into Cancer and Nutrition–Potsdam study; FHS, Framingham Heart Study–Offspring Cohort; Hisayama, Hisayama Study; InCHIANTI, Invecchiare in Chianti; KIHD, Kuopio Ischaemic Heart Disease Risk Factor study; MCCS, Melbourne Collaborative Cohort Study; MESA, Multi-Ethnic Study of Atherosclerosis; METSIM, Metabolic Syndrome in Men; and WHIMS, Women’s Health Initiative Memory Study.

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