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ORIGINAL RESEARCH COMMUNICATION |
1 From the Departments of Nutrition (QS, HC, and FBH) and Epidemiology (DM and FBH), Harvard School of Public Health, Boston, MA, and the Channing Laboratory (JM, DM, and FBH), the Division of Cardiovascular Medicine (CMA and DM), and the Division of Preventive Medicine (KMR and CMA), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
2 Supported by research grants CA49449, CA42182, HL24074, HL34594, and CA87969 from the National Institutes of Health, by a Postdoctoral Fellowship from the Unilever Corporate Research (to QS), and by an American Heart Association Established Investigator Award (to FBH). 3 Reprints not available. Address correspondence to FB Hu, Department of Nutrition, Harvard School of Public Health, 665 Huntington Avenue, Boston, MA 02115. E-mail: frank.hu{at}channing.harvard.edu.
| ABSTRACT |
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Objective: We aimed to investigate the effect of long-chain n–3 fatty acids in blood on the risk of nonfatal MI.
Design: Baseline blood samples were collected from 32 826 participants of the Nurses' Health Study in 1989–1990, among whom 146 incident cases of nonfatal MI were ascertained during 6 y of follow-up and matched with 288 controls.
Results: After multivariate adjustment, the relative risks (95% CI) comparing the highest with the lowest quartiles in plasma were 0.23 (0.09, 0.55; P for trend = 0.001) for eicosapentaenoic acid (EPA), 0.40 (0.20, 0.82; P for trend = 0.004) for docosapentaenoic acid (DPA), and 0.46 (0.18, 1.16; P for trend = 0.07) for docosahexaenoic acid (DHA). The associations for these fatty acids in erythrocytes were generally weaker and nonsignificant. In contrast to EPA and DHA, blood concentrations of DPA were not correlated with dietary consumption of n–3 fatty acids. Higher plasma concentrations of EPA, DPA, and DHA were associated with higher plasma concentrations of HDL cholesterol and lower concentrations of triacylglycerol and inflammatory markers.
Conclusions: Higher plasma concentrations of EPA and DPA are associated with a lower risk of nonfatal MI among women. These findings may partly reflect dietary consumption but, particularly for DPA, may indicate important risk differences based on metabolism of long-chain n–3 fatty acids.
| INTRODUCTION |
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Compared with the literature on fatal CHD, less epidemiologic evidence exists regarding associations of consumption of fish or long-chain n–3 fatty acid intake with the risk of nonfatal MI (3-5, 14-16). In most prospective cohort studies conducted in Western countries, higher fish consumption or long-chain n–3 fatty acid intake either was not associated or was weakly associated with lower risk of nonfatal MI without significant trends (4, 5, 14-16). In a previous analysis in the Nurses' Health Study, we found that higher consumption of total long-chain n–3 fatty acids was significantly associated with a lower risk of both coronary death and nonfatal MI, although the association was stronger for coronary death (3). In 2 hospital-based retrospective case-control studies, whole blood or serum contents of EPA+DHA were associated with a lower risk of nonfatal coronary events (17, 18), but this association was not observed in the prospective Cardiovascular Health Study (14). Recently, among Japanese with background fish intake much higher than that in usual Western diets, a clinical trial showed that EPA supplementation significantly reduced the incidence of nonfatal CHD (19), and a cohort study also showed that very high levels of fish intake in Japan were significantly associated with a lower risk of nonfatal CHD (20).
To further investigate the relations of n–3 fatty acids with nonfatal MI, particularly of individual long-chain n–3 fatty acids in tissues that might be affected by both diet and metabolism, as well as precursors of these fatty acids, we examined the associations of EPA, docosapentaenoic acid (DPA), and DHA concentrations in plasma and in erythrocyte membranes with the risk of nonfatal MI in a nested case-control study.
| SUBJECTS AND METHODS |
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–130 °C until analysis. The current case-control study was conducted among the nurses who provided blood samples and were free of diagnosed cancer or cardiovascular disease at the time of phlebotomy. During 6 y of follow-up, we documented 147 nonfatal MI and 20 fatal CHD. For each case, 2 controls were randomly selected by risk-set sampling and were matched to the case for age (±1 y), smoking status (never, past, or current), and fasting status (fasting for 8 h or not). In the current study, we excluded fatal CHD because of the small numbers and likely different mechanisms for the reduction in fatal events for n–3 fatty acids. After exclusion of the participants with missing fatty acid data, 146 nonfatal MI cases and 288 controls were available for the present analysis.
All participants gave written informed consent. The study protocol was approved by the Institutional Review Board of the Brigham and Women's Hospital and by the Human Subjects Committee Review Board of the Harvard School of Public Health.
Ascertainment of coronary heart disease
Participants reporting cardiovascular endpoints on biennial questionnaires were asked for their medical records to confirm endpoints. Study physicians who were blinded to the exposure status of participants reviewed available medical records to confirm nonfatal MI by using World Health Organization criteria (22), which require typical symptoms plus either diagnostic electrocardiographic findings or elevated cardiac enzyme concentrations. For those whose medical records were unavailable, the diagnosis was considered probable if supported by telephone interview or other supplemental information. Of 146 nonfatal MI cases, 143 (97.9%) were confirmed by medical records, and 3 (2.1%) were confirmed by telephone interview.
Laboratory procedures
We shipped each case-control triplet to the lab in the same batch and assayed the samples in a random sequence under identical conditions. Technicians and laboratory personnel were blinded to the disease status of participants. Fatty acid concentrations in whole plasma and erythrocytes were analyzed by gas-liquid chromatography in 2 separate runs. Blood samples of cases and controls identified in 1990–1994 were assayed in 2000–2001; case-control triplets identified in 1996 were assayed in 2002. A detailed description of laboratory process was published elsewhere (23).
Laboratory control samples were run along with the case-control samples. Within-run CVs (%) were assessed by repeatedly analyzing quality-control samples. The within-run CV for EPA was 8.5% (plasma) and 16.7% (erythrocytes); for DPA, it was 6.0% (plasma) and 5.2% (erythrocytes); for DHA, it was 5.6% (plasma) and 5.3% (erythrocytes); and for
-linolenic acid (ALA), it was 6.5% (plasma) and 6.5% (erythrocytes).
Assessment of covariates
Medical history, lifestyle risk factors, and dietary habits were assessed by means of validated questionnaires in 1990 (closest in time to the blood sampling). Usual diet habits were assessed and updated every 4 y since 1980 by validated semi-quantitative food-frequency questionnaires inquiring about food consumption in the previous year. A detailed description of the reproducibility and validity of the questionnaires was published elsewhere (24). Four questions inquired about the intake of canned tuna fish, dark-meat fish, other fish, and shellfish. Estimated dietary consumption of long-chain n–3 fatty acids, including EPA, DPA, and DHA, was calculated on the basis of the responses to these questions and the estimated nutrient contents of each portion from the Harvard Food Composition Database. Long-chain n–3 fatty acid intake from supplements was also taken into account, although only 4 cases and 7 controls reported the use of supplements.
Plasma total and HDL cholesterol and triacylglycerol were measured enzymatically on the Hitachi 911 analyzer (Roche Diagnostics, Basel, Switzerland). LDL cholesterol was measured by using a homogenous direct method (Genzyme, Cambridge, MA). A detailed description of laboratory methods and procedures was published elsewhere (25). Concentrations of E-selectin, interleukin-6, intercellular adhesion molecule 1, and vascular cell adhesion molecule 1 were measured by using a commercial enzyme-linked immunosorbent assay (R&D Systems, Minneapolis, MN). C-reactive protein concentrations were measured by using a high-sensitivity latex-enhanced immunonephelometric assay (Dade Behring, Deerfield, IL).
Statistical analysis
We assessed the correlation between plasma and erythrocyte long-chain n–3 fatty acids and self-reported consumption of fish (servings/wk) and long-chain n–3 fatty acids (% of total fat) among controls. Spearman partial-rank correlation coefficients were calculated to control for the effects of other variables (26), including energy intake (in MJ), age at phlebotomy (y), smoking status (never smoked, past smoker, or currently smoke 1–14 cigarettes/d, 15–24 cigarettes/d, or
25 cigarettes/d), body mass index (BMI; in kg/m2), fasting status (yes or no), postmenopausal status (yes or no), postmenopausal hormone use (never, past, or current), and assay batch. We used the t test to examine the significance of Spearman partial correlation coefficients according to the following equation (26):
![]() | (1) |
Quartiles of long-chain n–3 fatty acids were constructed according to the distribution among controls. Because case-control triplets diagnosed in 1990–1994 and 1996 were measured in 2 different runs in 2 different time periods, we created run-specific quartiles and merged the data for analysis to account for the potential between-run laboratory variation. We used conditional logistic regressions to estimate the relative risks (RRs) of nonfatal MI associated with these biomarkers. In nested case-control studies using risk-set sampling, odds ratios derived from conditional logistic regressions are unbiased estimates of RRs that take into account the matching factors (27). In multivariate models, we further adjusted for established risk factors for CHD including BMI (< 25, 25–29, or
30), physical activity (in tertiles), alcohol intake (0, 1–4, 5–14, or
15 g/d), total fat intake (% of total calories), parental history of MI before age 65 y (yes or no), history of hypertension (presence or absence), history of hypercholesterolemia (presence or absence), history of diabetes (presence or absence), postmenopausal status (yes or no), and postmenopausal hormone use (never, past, or current). To evaluate whether ALA could explain the association between long-chain n–3 fatty acids and the risk of nonfatal MI, we also adjusted for ALA concentrations in blood. P values for linear trend were calculated by entering a continuous score based on the median value in each quartile of fatty acid into the models.
We used multivariable linear regressions to examine the linear trend of plasma triacylglycerol, HDL, and inflammatory markers across quartiles of total long-chain n–3 fatty acids in plasma and erythrocytes in controls after adjustment for age, fasting status, smoking status, BMI, postmenopausal status and hormone use, physical activity, alcohol and total fat intake, parental history of MI, total trans fatty acids and ALA in blood, and assay batch. We calculated least-squares means for each quartile of individual long-chain n–3 fatty acids by using robust estimators of variance (28). P values for linear trend were estimated by entering the median value of each quartile of individual n–3 fatty acid content into the model as an ordinal variable. We found similar correlations between long-chain n–3 fatty acids and triacylglycerol for fasting and nonfasting samples, and we therefore used the entire control group for analysis after adjustment for fasting status.
All P values were 2-sided (P < 0.05). The 95% CIs were calculated for RRs and least-squares means. Data were analyzed with SAS software (version 9.1; SAS Institute Inc, Cary, NC).
| RESULTS |
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| DISCUSSION |
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Long-chain n–3 fatty acids—ie, EPA (20:5n–3), DPA (22:5n–3), and DHA (22:6n–3)—have been hypothesized to be the constituents of the diet of Greenland Eskimos that are the major explanation for their low CHD mortality (29). In Western diets, seafood, especially dark-meat fish, is the primary dietary source of these fatty acids. In several well-conducted prospective cohort studies that assessed multiple CHD outcomes, fish intake was associated with lower risk of fatal CHD or sudden cardiac death but not with risk of nonfatal MI (2, 4, 5, 15, 16). Studies using biomarker data of long-chain n–3 fatty acid intake have also found significant inverse associations with sudden cardiac death (6, 30). In addition, in a secondary-prevention randomized trial conducted among MI survivors, supplementation with 1 g EPA + DHA/d significantly reduced the risk of sudden death by 45% but had no effects on nonfatal MI (13). These data support the proposed antiarrhythmic effects of EPA and DHA (10, 12).
Fewer studies have evaluated the relations of tissue concentrations of long-chain n–3 fatty acids and the risk of nonfatal MI, and their results have been inconsistent (14, 17, 18). Other biomarker studies that examined total CHD (combined nonfatal MI and fatal CHD) as the major outcome also have yielded mixed results (31, 32). In this study, EPA and DPA in blood, particularly in plasma, were associated with lower incidence of nonfatal MI after adjustment for other risk factors. It is interesting that we observed significantly inverse associations of DPA concentrations with risk, despite the fact that DPA was not correlated with estimated dietary consumption of n–3 fatty acids. Conversely, DHA content in plasma and erythrocytes was correlated with estimated dietary consumption but was not significantly associated with the risk of nonfatal MI.
Because the metabolisms for individual long-chain n–3 fatty acids are quite different, concentrations of these fatty acids in human blood may have different biological meanings. In both prior studies (33, 34) and the present analysis, DHA in plasma or erythrocytes is a better marker of dietary fish and n–3 fatty acid intake than is EPA. Blood concentrations of EPA could be influenced by several nondietary factors. EPA is preferentially mobilized from adipose tissue into the bloodstream at a much higher rate than is DHA (35). Compared with DHA, EPA is more likely to be distributed in the outer phospholipids layer of cell membranes, especially in lecithin (36), which is dynamically exchanged with plasma lecithin (37). The more dynamic metabolism, mobilization, and incorporation of EPA than of DHA may explain why DHA is a better marker of dietary consumption. It is important that these characteristics of EPA suggest that plasma EPA may represent a more dynamic and readily available pool of long-chain n–3 fatty acids than does DHA. In both plasma and erythrocytes, EPA has been shown to have higher incorporation and wash-out rates than does DHA, which indicates that EPA in blood may be metabolically more active and more available than is DHA (38). In comparison with EPA and DHA, much less is known about the metabolism, mobilization, and incorporation of DPA in tissues. In humans, DPA can be formed by means of the elongation of EPA or the retroconversion of DHA; the former is the much more dominant process (39, 40). The rapid retroconversion of DPA to EPA in human blood fractions also suggests the possibility that DPA could serve as a storage pool for EPA (41). In the present study, higher correlations observed between DPA and EPA concentrations than between DPA and DHA concentrations support this notion. In addition, DPA concentrations were not correlated with dietary fish or n–3 fatty acid consumption, which suggests that metabolic influences are the predominant determinants of DPA concentrations in plasma and erythrocytes. Therefore, either DPA itself or the processes related to DPA metabolism may play an important role in the risk of developing nonfatal MI.
Although ALA can be converted to long-chain n–3 fatty acids in vivo, the significance of this contribution in humans was unclear (42). In the current analysis, ALA was not correlated with the concentrations of these long-chain n–3 fatty acids. Adjustment of ALA did not substantially change the associations for these long-chain n–3 fatty acids, which suggested that ALA was unlikely to explain the inverse associations for EPA and DPA. Data on tissue or blood concentratins of ALA in relation to CHD risk were limited, and their results were mixed (43). In the current study, ALA concentrations in blood were not significantly associated with the risk of nonfatal MI. However, we cannot entirely exclude the possibility that, if ALA reduces the risk of CHD primarily through conversion to EPA, then women with a higher capacity for this conversion may have a lower risk of CHD.
Multiple potential effects of long-chain n–3 fatty acids may lower the risk of nonfatal MI. In vivo and in vitro, these fatty acids can reduce the production of atherogenic eicosanoids (44), improve endothelial dysfunction (45), and modulate plasma lipids (46). In the present study, plasma concentrations of EPA and DPA and, to a lesser extent, DHA were associated with more favorable concentrations of triacylglycerol, HDL cholesterol, and several inflammatory markers. By means of a dynamic exchange of cholesterol-ester and phospholipids (37, 47), circulating EPA and DPA in plasma may enter tissues and cell membranes and may modulate the production of atherogenic molecules, such as inflammatory mediators or atherogenic lipids, by affecting cell membrane receptors or binding to transcriptional factors or nuclear receptors, such as peroxisome proliferator–activated receptors, sterol regulatory element–binding protein, and nuclear factor-kappa B (48). Conversely, in the present study, n–3 fatty acids in erythrocytes were generally not associated with plasma concentrations of inflammatory markers. This observation is probably due to the fact that fatty acids in plasma phospholipids or cholesterol-esters are directly available to tissue cells, whereas only 60% of erythrocyte phospholipids can be exchanged into circulation (37).
Two recent Japanese studies indicated that high levels of fish intake or EPA supplementation may significantly lower the risk of nonfatal coronary events (19, 20). Because the usual fish intake in Japan is substantially higher than that in typical Western populations, it is not clear whether these results are generalizable to other populations. For example, as indicated by our findings for DHA, the current level of fish intake in the United States may not be sufficient to prevent nonfatal MIs. Furthermore, the efficacy of fish intake or fish-oil use in preventing total cardiovascular diseases is still a matter of debate (49-52). However, our study raises the possibility that increasing the availability of circulating EPA and DPA in plasma (through dietary intake or changes in mobilization, enzymatic activities of elongases and desaturases, or incorporation that facilitates the availability of EPA and DPA) may be beneficial to the prevention of CHD, independent of antiarrhythmic effects of long-chain n–3 fatty acids.
Several potential limitations should be considered. First, although we carefully controlled for major known CHD risk factors in the analyses, we cannot entirely exclude the possibility that the observed associations were due to other associated healthy lifestyles or dietary patterns. However, the strongest associations were seen for EPA and DPA, which were less strongly associated with dietary consumption than was DHA. Second, greater measurement error for erythrocyte EPA (within-run CV: 16.7%) may have substantially decreased statistical power to detect associations between erythrocyte EPA and nonfatal MI. Third, these findings may not be generalized to populations other than that of the present study—ie, white nurses.
In conclusion, this prospective study provides new evidence that plasma concentrations of EPA and DPA are associated with a lower incidence of nonfatal MI among US women. These results suggest that blood concentrations of individual long-chain n–3 fatty acids, which reflect both dietary intake and metabolic influences, may have important biological effects on cardiovascular risk beyond antiarrhythmic effects.
| ACKNOWLEDGMENTS |
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