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Erythrocyte stearidonic acid and other n-3 fatty acids and CHD in the Physicians' Health Study

Published online by Cambridge University Press:  26 October 2012

Chisa Matsumoto*
Affiliation:
Division of Aging, Brigham and Women's Hospital, Boston, MA02120, USA Harvard Medical School, Boston, MA, USA
Nirupa R. Matthan
Affiliation:
JM USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA
Jemma B. Wilk
Affiliation:
Division of Aging, Brigham and Women's Hospital, Boston, MA02120, USA Harvard Medical School, Boston, MA, USA
Alice H. Lichtenstein
Affiliation:
JM USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA
J. Michael Gaziano
Affiliation:
Division of Aging, Brigham and Women's Hospital, Boston, MA02120, USA Harvard Medical School, Boston, MA, USA Boston Veterans Affairs Healthcare System, Boston, MA, USA Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA, USA
Luc Djoussé
Affiliation:
Division of Aging, Brigham and Women's Hospital, Boston, MA02120, USA Harvard Medical School, Boston, MA, USA Boston Veterans Affairs Healthcare System, Boston, MA, USA
*
*Corresponding author: C. Matsumoto, fax +1 617 525 7739, email cmatsumoto2@partners.org
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Abstract

Intake of marine-based n-3 fatty acids (EPA, docosapentaenoic acid and DHA) is recommended to prevent CHD. Stearidonic acid (SDA), a plant-based n-3 fatty acid, is a precursor of EPA and may be more readily converted to EPA than α-linolenic acid (ALA). While transgenic soyabeans might supply SDA at low cost, it is unclear whether SDA is associated with CHD risk. Furthermore, associations of other n-3 fatty acids with CHD risk remain inconsistent. The present ancillary study examined the association of erythrocyte SDA as well as other n-3 fatty acids with the risk of CHD. In a prospective nested case–control study of the Physicians' Health Study, we randomly selected 1000 pairs of incident CHD with matching controls. Erythrocyte fatty acids were measured using GC. We used conditional logistic regression to estimate relative risks. Mean age was 68·7 (sd 8·7) years. In a multivariable model controlling for matching factors and established CHD risk factors, OR for CHD for each standard deviation increase of log-SDA was 1·03 (95 % CI 0·90, 1·18). Corresponding values for log-ALA and log-marine n-3 fatty acids were 1·04 (95 % CI 0·94, 1·16) and 0·97 (95 % CI 0·88, 1·07), respectively. In conclusion, the present data did not show an association among erythrocyte SDA, ALA or marine n-3 fatty acids and the risk of CHD in male physicians.

Type
Full Papers
Copyright
Copyright © The Authors 2012 

Although rates of CHD mortality have decreased substantially over the last 3 decades(Reference Rodriguez, Malvezzi and Chatenoud1), CHD still remains a major public health problem in the USA and other nations around the world. About 48 % of the reduction in CHD deaths has been attributed to improvement in modifiable lifestyle and dietary risk factors(Reference Wijeysundera, Machado and Farahati2). Therefore, identifying novel lifestyle and dietary factors that could further lower the risk of CHD remains important in CHD prevention. It has been several decades since cardioprotective effects of fish consumption were reported. An inverse association between intake of marine-based n-3 PUFA, EPA (20 : 5 n-3), DHA (22 : 6 n-3), docosapentaenoic acid (22:5 n-3), and perhaps the plant-based n-3 fatty acid (FA) α-linolenic acid (ALA; 18:3 n-3) and CHD has been reported(Reference Sun, Ma and Campos35). Based on those findings, the American Heart Association recommends consumption of at least two fish meals per week for primary prevention and 1 g of EPA+DHA/d for secondary prevention of CHD(Reference Lloyd-Jones, Hong and Labarthe6). However, findings on the effects of these n-3 FA on CHD have not been consistent(Reference Kromhout, Giltay and Geleijnse7, Reference Wang, Harris and Chung8). Stearidonic acid (SDA; 18 : 4 n-3) is an n-3 FA found in small concentrations in certain plants and may be more readily converted to EPA than ALA(Reference Harris9). A previous investigation reported that increased intake of SDA may increase erythrocyte EPA concentration(Reference Harris9). Recently, transgenic soyabeans, which can supply SDA at low cost, have been developed. However, it is unclear whether erythrocyte SDA is associated with a lower risk of CHD. Hence, the present ancillary study examined the association of erythrocyte membrane SDA as well as other n-3 FA with CHD risk in a nested case–control study within the Physicians' Health Study (PHS).

Subjects and methods

Study population

The PHS 1 was a randomised, double-blind, placebo-controlled trial designed to test the effects of low-dose aspirin and β-carotene on CVD and cancer among 22 071 US male physicians. The PHS 2 was a randomised trial designed to test the benefits and risks of vitamins E and C, β-carotene and multivitamins in the prevention of cancer, CVD, age-related eye diseases and cognitive function among 14 642 US male physicians aged ≥ 50 years at baseline. A detailed description of both studies has been published previously(10, Reference Christen, Gaziano and Hennekens11).

Using a prospective nested case–control design, we randomly selected 1000 incident CHD cases that provided blood samples between 1995 and 2001 for the present ancillary study. For each case, we used a density sampling technique to randomly select one control subject who was alive and free of confirmed CHD at the time of the index case diagnosis and matched on age at blood collection (within 1 year), year of birth (within 2 years) and time of blood collection (within 3 months). Each case was eligible to serve as a control before CHD diagnosis. Similarly, each control was eligible to later become a CHD case to assure that controls were representative of a total population that gave rise to the CHD cases.(Reference Rothman, Greenland and Lash12) Ultimately, twenty-seven controls later developed CHD after enrolment and served as cases in the present study. The present study was conducted according to the guidelines laid down in the Declaration of Helsinki. Each participant gave written informed consent, and the Brigham and Women's Hospital (Boston, MA, USA) Institutional Review Board approved the study protocol.

Blood collection and storage

For the present project, blood was collected between 1995 and 2001. Detailed description of methods of blood collection and storage has been published previously(Reference Djousse, Kurth and Gaziano13).

Measurement of erythrocyte fatty acid profiles

Baseline erythrocyte samples from all cases and controls were handled identically throughout sample collection, long-term storage, sample retrieval and assays. All investigators and laboratory personnel were unaware of participants' case–control status. The FA content of erythrocyte membranes was determined as follows: after osmotic haemolysis, the erythrocyte membranes were washed three times with NaCl, an internal standard (heptadecanoate) was added to the cell pellet and total lipids were extracted according to the Folch method(Reference Folch, Lees and Sloane Stanley14), followed by saponification and methylation(Reference Morrison and Smith15). The resultant FA methyl esters were dried down under N2, re-suspended in 100 μl of hexane, transferred into amber GC vials and stored at − 20°C until the time of analysis(Reference Matthan, Dillard and Lecker16, Reference McKay, Chen and Yeum17). The erythrocyte FA methyl esters were analysed using an Autosystem XL gas chromatograph (Perkin Elmer) equipped with a 100 m × 0·25 mm inner diameter (film thickness 0·25 μm) capillary column (SP-2560; Supelco). Peaks of interest were identified by comparison with authentic FA standards (Nu-Chek Prep, Inc.) and expressed as molar percentage proportions of FA relative to the internal standard. Relative values of inter-assay CV were < 4·5 % for the n-3 FA reported here.

Ascertainment of incidence of CHD

We obtained information on the occurrence of major diseases including CHD through annual follow-up questionnaires. CHD was the primary outcome and was defined as non-fatal myocardial infarction, fatal myocardial infarction, percutaneous transluminal coronary angioplasty, coronary artery bypass graft, coronary death and sudden death. Fatal CHD consisted of fatal myocardial infarction, coronary death and sudden death. All cardiovascular events in the PHS have been adjudicated by an endpoint committee(10). The diagnosis of myocardial infarction was confirmed by using WHO criteria(Reference Organization18). Revascularisation procedures were confirmed by hospital records.

Other variables

Information on age, height, body weight, BMI, cigarette smoking, exercise, fish consumption, alcohol consumption, hypertension, diabetes mellitus and hypercholesterolaemia was collected at baseline through annual questionnaires and semi-quantitative FFQ. While the FFQ was not validated in the PHS, it has been validated elsewhere(Reference Rimm, Giovannucci and Stampfer19).

Statistical analysis

The distributions of each erythrocyte FA were skewed to the right (e.g. SDA: skewness; 3·63, kurtosis; 17·73, Shapiro–Wilk test; PW< 0·0001). Thus, we used the natural logarithm to normalise their distributions and created tertiles of each erythrocyte FA based on the respective distribution in the control series for SDA, ALA and marine n-3 FA (sum EPA, DHA and docosapentaenoic acid). Baseline CHD risk factors were compared according to tertiles of each erythrocyte FA, using ANOVA for means and χ2 tests for proportions. Spearman correlation coefficients between erythrocyte and dietary FA were evaluated. We used conditional logistic regression to compute multivariable-adjusted OR (95 % CI) for CHD for each standard deviation increase of log-transformed FA. The initial model only controlled for matching factors and a final model also controlled for BMI, smoking status (never, current and past smokers), exercise (vigorous exercise < 1 time/week, ≥ 1 time/week), alcohol consumption ( < 1 time/week, 1–4 times/week, 5–7 times/week, >7 times/week), hypertension, diabetes mellitus and hypercholesterolaemia. In a secondary analysis, we examined the association between erythrocyte FA and fatal CHD. The present ancillary study was designed to have 80 % power to detect a relative risk of 0·74 for the primary outcome (total CHD), with a two-sided α level of 0·05. Post hoc power calculations indicated that with 165 fatal CHD events, we had 80 % power to detect a relative risk of 0·50 for CHD death (two-sided α = 0·05). All analyses were completed using SAS (version 9.2; SAS Institute). All statistical tests were two-sided and P< 0·05 was considered significant.

Results

Mean age was 68·7 (sd 8·7) years. Baseline characteristics of the participants by tertiles of each erythrocyte n-3 FA are summarised in Table 1. Erythrocyte marine n-3 FA were associated with lower BMI, non-smoking status and frequent alcohol and fish consumption. Erythrocyte marine n-3 FA were inversely correlated with erythrocyte SDA and erythrocyte ALA, and Spearman correlation coefficients were − 0·27 (P< 0·001) and − 0·05 (P= 0·02), respectively. In contrast, SDA was positively correlated with ALA (r 0·10, P< 0·001). The correlation coefficients between dietary marine n-3 FA and erythrocyte marine n-3 FA were greater than that of ALA. For example, the Spearman correlation coefficient between dietary EPA and erythrocyte EPA was 0·33 (n 1674, P< 0·001); the corresponding value for DHA was 0·36 (n 1674, P< 0·001) and was 0·02 (n 1674, P= 0·53) for ALA.

Table 1 Baseline characteristics of the 2000 study participants according to levels of erythrocyte n-3 fatty acids in the Physicians' Health Study (Mean values and standard deviations)

SDA, stearidonic acid; ALA, α-linolenic acid; marine n-3, sum of EPA, DHA and docosapentaenoic acid.

* Value was significantly different from that for the 1st tertile (P< 0·05, ANOVA for continuous variables, and χ2 test was used for categorical variables).

In a conditional logistic regression adjusting for matching factors, the OR (95 % CI) for CHD for each sd higher log-SDA was 1·04 (95 % CI 0·91, 1·18). The corresponding value per sd increase in log-ALA was 1·06 (95 % CI 0·96, 1·17) and for log-marine n-3 FA, it was 0·92 (95 % CI 0·84, 1·00; Table 2). Additional adjustment for BMI, alcohol intake, smoking, physical activity, history of hypertension, diabetes and hypercholesterolaemia did not alter these results (Table 2). Only log-EPA in a model adjusting for matching factors showed significant inverse association with the risk of CHD. However, after adjustment for other risk factors, this association was no longer significant (Table 2). In a secondary analysis, each erythrocyte FA was not associated with fatal CHD (multivariable-adjusted OR (95 % CI) were 1·05 (95 % CI 0·75, 1·45) for each sd increase of log-SDA; 1·19 (95 % CI 0·89, 1·60) per sd increase in log-ALA; and 0·98 (95 % CI 0·76, 1·25) per sd increase in log-marine n-3 FA (Table 2). We also did not observe an association between combined erythrocyte EPA+DHA and CHD risk in the present study. Mutual adjustment for other erythrocyte FA (i.e. adjusting for ALA, EPA, DHA and docosapentaenoic acid when assessing association of SDA with CHD) did not alter the results. The OR for CHD for each sd higher log-SDA was 1·03 (95 % CI 0·90, 1·18); the corresponding values were 1·04 (95 % CI 0·94, 1·16) for log ALA and 0·99 (95 % CI 0·94, 1·04) for log-marine n-3 FA.

Table 2 Total CHD and fatal CHD according to erythrocyte n-3 fatty acids per 1 standard deviation increase in each erythrocyte fatty acid in the Physicians' Health Study (Odds ratios and 95 % confidence intervals)

SDA, erythrocyte stearidonic acid; ALA, erythrocyte α-linolenic acid; marine n-3, sum of erythrocyte EPA, docosapentaenoic acid (DPA) and DHA.

* Conditional logistic regression matched for age, the date of blood kit returned, the same population, the age at blood test.

Adjusted for BMI, smoking status, exercise level, alcohol consumption, history of hypertension, history of diabetes and history of hypercholesterolaemia.

Discussion

Summary of main findings

In the present prospective nested case–control study, we found no evidence for associations between erythrocyte SDA, ALA or marine n-3 FA and the risk of total or fatal CHD in the US male physicians.

Erythrocyte membrane stearidonic acid/α-linolenic acid and risk of CHD

To the best of our knowledge, the present study is the first and largest study to assess the association between erythrocyte SDA and the risk of CHD. The lack of a meaningful association between SDA and CHD as well as ALA and CHD merits some comments. The conversion of ALA to EPA requires Δ-6 desaturase, a rate-limiting enzyme(Reference Ursin20). While such a conversion of ALA to EPA in humans is negligible (0·2–7 %), SDA is readily converted to EPA(Reference Pawlosky, Hibbeln and Novotny21Reference Yamazaki, Fujikawa and Hamazaki23). A negative correlation (r − 0·27; P< 0·0001) observed between erythrocyte SDA and marine n-3 FA is supportive of this conversion in the present data. Although not readily available, there is a future possibility that consumption of plant-based SDA from genetically engineered soyabean oil may make SDA a cost-effective way to enrich the diet with plant-based n-3 FA that can be converted to EPA. A lack of an association between SDA and CHD could be partially explained by the small contribution of SDA to the total erythrocyte membrane FA (range 0·03–0·04 % of total erythrocyte membrane FA). Alternatively, the fact that all participants were male physicians with optimal dietary intake(Reference Djousse, Driver and Gaziano24) might have made it very difficult to detect a small effect size. It is also possible that SDA may not be associated with CHD risk despite the reported increase in ω-3 index after consumption of SDA(Reference Harris9). Lastly, we examined total CHD as the primary outcome of the present study which was heavily driven by non-fatal CHD. We cannot exclude differential associations of SDA with other types of CHD. Additional studies are needed to clarify such hypotheses.

ALA is another plant-based n-3 FA that is relatively inexpensive and more widely available than marine n-3 FA. However, we did not observe a significant association between erythrocyte ALA and the risk of CHD or fatal CHD. Findings from previous studies do not show a consistent association of ALA with CHD risk(Reference Oomen, Ocke and Feskens25). Some investigators have reported that high tissue ALA, including erythrocyte ALA, may be positively associated with CHD risk and sudden death(Reference Lemaitre, King and Sotoodehnia26). The reason for such a positive relation with CHD risk is unclear. As the conversion of ALA to EPA and then to DHA depends not only on dietary factors, but also on the metabolic processes of Δ-5 and 6 desaturases, it is possible that variation in erythrocyte ALA may be partially influenced by genetic differences in enzymatic activity of Δ-5/6 desaturases; this may help account for some of the inconsistencies reported on associations of dietary ALA consumption and erythrocyte ALA with CHD risk(Reference Lemaitre, King and Sotoodehnia26). Unfortunately, we did not have similar data on the conversion of ALA to EPA in the present study for comparison.

Erythrocyte membrane marine n-3 fatty acids (EPA, DHA and docosapentaenoic acid) and risk of CHD

The present study did not show a significant association between erythrocyte marine n-3 FA and the risk of total or fatal CHD. This finding is also consistent with those reported for the Nurses' Health Study(Reference Sun, Ma and Campos3). In contrast, several observational studies reported inverse associations between marine n-3 FA and either CHD or fatal CHD(Reference Albert, Campos and Stampfer27, Reference Block, Harris and Reid28). In an earlier report by Albert et al. (Reference Albert, Campos and Stampfer27) using the Physicians' Health cohort, an inverse association between marine n-3 FA and sudden cardiac death was documented. These apparent divergent findings from the same cohort merit some comments. First, in the present nested case–control study, the focus was on total CHD as the primary outcome and not on sudden death, as in the previous paper by Albert and colleagues. Hence, subjects included in the present paper are different from those included in the earlier PHS paper. Second, sudden death was not a primary outcome for the present analysis and we do not have enough power to detect the association between marine n-3 FA and sudden cardiac death due to the small number of sudden deaths in the present study (n 41). Third, we used erythrocyte FA in the present study, while Albert et al. used whole-blood FA in their study. It has been shown that erythrocyte n-3 FA are highly reproducible and will assure accurate exposure classification(Reference Sun, Ma and Campos29). Fourth, the time of blood collection in the present study is more than 15 years (maximum 20 years) later than in the earlier PHS paper. It is possible that dietary patterns of the present study population has changed over time, given the American Heart Association guidelines recommending intake of fish and marine n-3 FA were announced after Albert's publication(Reference Lloyd-Jones, Hong and Labarthe6). The association of marine n-3 FA with CHD could differ by background levels of marine n-3 FA in the population. In a Japanese trial (Japanese EPA Lipid Intervention Study; JELIS), where participants consume fish five times more than the US participants and other countries, EPA intervention did not show significant effect on sudden cardiac death, possibly due to high background levels of EPA and other marine n-3 FA(Reference Yokoyama, Origasa and Matsuzaki30). The association between marine n-3 FA and total CHD, fatal CHD or other cardiovascular outcomes may also differ. Further studies are needed for clarification.

Strengths and limitations

The present study has some limitations. First, we have only one baseline measurement of erythrocyte FA. Thus, we were not able to account for change in erythrocyte FA during the follow-up period. Second, as the present study is an observational study, we cannot exclude residual and unmeasured confounding as a partial explanation of the present findings. Third, the sample used in the present study consists of highly educated male physicians; thus, the findings from the present study may not apply to other socio-economic or ethnic groups and women. Nevertheless, the present study has several strengths, including a large sample size, matching on key confounders to minimise confounding, prospective study design, validation of incident CHD and the use of reproducible biomarkers (erythrocyte FA) to assess n-3 FA.

Conclusions

In conclusion, the present findings did not show evidence for an association among erythrocyte SDA, ALA and marine n-3 FA and CHD risk in US male physicians.

Acknowledgements

We are indebted to the participants in the PHS for their outstanding commitment and cooperation and also thank the entire PHS staff. The present ancillary study was supported by grant R21 HL088081 (L. D.) from the National Heart, Lung, and Blood Institute Bethesda, MD. The PHS is supported by grants CA-34944, CA-40360 and CA-097193 from the National Cancer Institute and grants HL-26490 and HL-34595 from the National Heart, Lung, and Blood Institute, Bethesda, MD. The author contributions are as follows: L. D. contributed to the design and the conception of the study. The measurements of SFA were taken by A. H. L. and N. R. M. The statistical analyses were conducted by C. M., J. B. W. and L. D. C. M. and L. D. The first draft of the manuscript was written by All the authors contributed to the review of the manuscript for scientific content. L. D. obtained the funding for the present study and also supervised the entire study. The sponsors of the study had no role in the design and conduct of the study; collection, management, analysis and interpretation of the data; and preparation, review or approval of the manuscript. The authors declare no conflict of interest.

References

1Rodriguez, T, Malvezzi, M, Chatenoud, L, et al. (2006) Trends in mortality from coronary heart and cerebrovascular diseases in the Americas: 1970–2000. Heart 92, 453460.Google Scholar
2Wijeysundera, HC, Machado, M, Farahati, F, et al. (2010) Association of temporal trends in risk factors and treatment uptake with coronary heart disease mortality, 1994–2005. JAMA 303, 18411847.Google Scholar
3Sun, Q, Ma, J, Campos, H, et al. (2008) Blood concentrations of individual long-chain n-3 fatty acids and risk of nonfatal myocardial infarction. Am J Clin Nutr 88, 216223.CrossRefGoogle ScholarPubMed
4de Lorgeril, M, Salen, P, Martin, JL, et al. (1999) Mediterranean diet, traditional risk factors, and the rate of cardiovascular complications after myocardial infarction: final report of the Lyon Diet Heart Study. Circulation 99, 779785.Google Scholar
5Anonymous (1999) Dietary supplementation with n-3 polyunsaturated fatty acids and vitamin E after myocardial infarction: results of the GISSI-Prevenzione trial. Gruppo Italiano per lo Studio della Sopravvivenza nell'Infarto miocardico. Lancet 354, 447455.Google Scholar
6Lloyd-Jones, DM, Hong, Y, Labarthe, D, et al. (2010) Defining and setting national goals for cardiovascular health promotion and disease reduction: the American Heart Association's strategic Impact Goal through 2020 and beyond. Circulation 121, 586613.Google Scholar
7Kromhout, D, Giltay, EJ & Geleijnse, JM (2010) n-3 Fatty acids and cardiovascular events after myocardial infarction. New Engl J Med 363, 20152026.Google Scholar
8Wang, C, Harris, WS, Chung, M, et al. (2006) n-3 Fatty acids from fish or fish-oil supplements, but not alpha-linolenic acid, benefit cardiovascular disease outcomes in primary- and secondary-prevention studies: a systematic review. Am J Clin Nutr 84, 517.Google Scholar
9Harris, WS (2012) Stearidonic acid-enhanced soybean oil: a plant-based source of (n-3) fatty acids for foods. J Nutr 142, 600S604S.Google Scholar
10Anonymous (1989) Final report on the aspirin component of the ongoing Physicians' Health Study. Steering Committee of the Physicians' Health Study Research Group. New Engl J Med 321, 129135.Google Scholar
11Christen, WG, Gaziano, JM & Hennekens, CH (2000) Design of Physicians' Health Study II – a randomised trial of beta-carotene, vitamins E and C, and multivitamins, in prevention of cancer, cardiovascular disease, and eye disease, and review of results of completed trials. Ann Epidemiol 10, 125134.Google Scholar
12Rothman, KJ, Greenland, S & Lash, TL (2008) Modern Epidemiology. Philadelphia, PA: Lippincott Williams & Wilkins. http://ovidsp.ovid.com/ovidweb.cgi?T= JS&PAGE = booktext&NEWS = N&DF = bookdb&AN = 013,37562/3rd_Edition&XPATH = /PG(0).Google Scholar
13Djousse, L, Kurth, T & Gaziano, JM (2008) Cystatin C and risk of heart failure in the Physicians' Health Study (PHS). Am Heart J 155, 8286.CrossRefGoogle ScholarPubMed
14Folch, J, Lees, M & Sloane Stanley, GH (1957) A simple method for the isolation and purification of total lipides from animal tissues. J Biol Chem 226, 497509.CrossRefGoogle ScholarPubMed
15Morrison, WR & Smith, LM (1964) Preparation of fatty acid methyl esters and dimethylacetals from lipids with boron fluoride–methanol. J Lipid Res 5, 600608.Google Scholar
16Matthan, NR, Dillard, A, Lecker, JL, et al. (2009) Effects of dietary palmitoleic acid on plasma lipoprotein profile and aortic cholesterol accumulation are similar to those of other unsaturated fatty acids in the F1B golden Syrian hamster. J Nutr 139, 215221.CrossRefGoogle ScholarPubMed
17McKay, DL, Chen, CY, Yeum, KJ, et al. (2010) Chronic and acute effects of walnuts on antioxidant capacity and nutritional status in humans: a randomized, cross-over pilot study. Nutr J 9, 21.Google Scholar
18Organization, WH (1971) Report of the Fifth Working Group, Including a Second Revision of the Operating Protocol, Copenhagen, 26–29 April 1971. Copenhagen: Regional Office for Europe, World Health Organization.Google Scholar
19Rimm, EB, Giovannucci, EL & Stampfer, MJ (1992) Reproducibility and validity of an expanded self-administered semiquantitative food frequency questionnaire among male health professionals. Am J Epidemiol 135, 11141126, discussion 1127–1136.Google Scholar
20Ursin, VM (2003) Modification of plant lipids for human health: development of functional land-based omega-3 fatty acids. J Nutr 133, 42714274.Google Scholar
21Pawlosky, RJ, Hibbeln, JR, Novotny, JA, et al. (2001) Physiological compartmental analysis of alpha-linolenic acid metabolism in adult humans. J Lip Res 42, 12571265.Google Scholar
22Goyens, PL, Spilker, ME, Zock, PL, et al. (2005) Compartmental modeling to quantify alpha-linolenic acid conversion after longer term intake of multiple tracer boluses. J Lip Res 46, 14741483.CrossRefGoogle ScholarPubMed
23Yamazaki, K, Fujikawa, M, Hamazaki, T, et al. (1992) Comparison of the conversion rates of alpha-linolenic acid (18 : 3(n-3)) and stearidonic acid (18 : 4(n-3)) to longer polyunsaturated fatty acids in rats. Biochim Biophys Acta 1123, 1826.Google Scholar
24Djousse, L, Driver, JA & Gaziano, JM (2009) Relation between modifiable lifestyle factors and lifetime risk of heart failure. JAMA 302, 394400.Google Scholar
25Oomen, CM, Ocke, MC, Feskens, EJ, et al. (2001) Alpha-linolenic acid intake is not beneficially associated with 10-y risk of coronary artery disease incidence: the Zutphen Elderly Study. Am J Clin Nutr 74, 457463.Google Scholar
26Lemaitre, RN, King, IB, Sotoodehnia, N, et al. (2009) Red blood cell membrane alpha-linolenic acid and the risk of sudden cardiac arrest. Metabolism 58, 534540.Google Scholar
27Albert, C, Campos, H, Stampfer, MJ, et al. (2002) Blood levels of long-chain n-3 fatty acids and the risk of sudden death. New Engl J Med 346, 11131118.Google Scholar
28Block, R, Harris, W, Reid, K, et al. (2008) EPA and DHA in blood cell membranes from acute coronary syndrome patients and controls. Atherosclerosis 197, 821828.Google Scholar
29Sun, Q, Ma, J, Campos, H, et al. (2007) Comparsion between plasma and erythrocyte fatty acid content as biomarkers of fatty acid intake in US women. Am J Clin Nutr 86, 7481.Google Scholar
30Yokoyama, M, Origasa, H, Matsuzaki, M, et al. (2007) Effects of eicosapentaenoic acid on major coronary events in hypercholeterolaemic patients (JELIS): a randomised open label, blinded endpoint analysis. Lancet 369, 10901098.Google Scholar
Figure 0

Table 1 Baseline characteristics of the 2000 study participants according to levels of erythrocyte n-3 fatty acids in the Physicians' Health Study (Mean values and standard deviations)

Figure 1

Table 2 Total CHD and fatal CHD according to erythrocyte n-3 fatty acids per 1 standard deviation increase in each erythrocyte fatty acid in the Physicians' Health Study (Odds ratios and 95 % confidence intervals)