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ORIGINAL RESEARCH COMMUNICATION |
1 From the UMR INSERM unit 557/INRA unit 1125, Institut Scientifique et Technique de la Nutrition et de lAlimentation (LIM, GPdC, MZ, SB, SH, and PG) and the Unité de Surveillance et dEpidémiologie Nutritionnelle, Institut de Veille Sanitaire (LIM and SH), Conservatoire National des Arts et Metiers, Paris; the Laboratoire de Physiologie, Faculté de Médecine, Dijon, France (J-CG); and the Laboratoire de Biologie du Stress Oxydant, Faculté de Pharmacie, Grenoble, France (VD and AF).
2 Supported by Centre des Informations Scientifiques sur la Bière, Paris. The Hercule SA kit was a gift from BioRad, Vitry sur Seine, France. 3 Address reprint requests to LI Mennen, UMR INSERM U557/INRA U1125, ISTNA-CNAM, 5 rue du Vertbois, 75003 Paris, France. E-mail: s_mennen{at}vcnam.cnam.fr.
| ABSTRACT |
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Objective: The objective of the study was to evaluate in a predominantly wine-drinking French population whether the relation between alcohol consumption and homocysteine concentrations is dependent on the type of alcoholic beverage consumed.
Design: In 1996, a cross-sectional study measuring tHcy and red blood cell folate concentrations was conducted in 1196 middle-aged women and men from the French Supplementation with Antioxidant Vitamins and Minerals Study. Intakes of alcohol, energy, coffee, and B vitamins were assessed by 6 separate 24-h dietary records from the previous year.
Results: tHcy concentrations were positively associated with wine intake (P = 0.01) in the women and with beer intake in the men (P = 0.002). No association with the consumption of spirits was observed. The association between beer consumption and tHcy concentrations in the men was modified by the consumption of wine; the association was positive in wine drinkers, whereas an inverse trend was seen in those who drank no wine.
Conclusion: Wine consumption may increase tHcy concentrations, whereas beer consumption seems to have no effect (or even an inverse effect) on tHcy.
Key Words: Alcohol consumption beer folate homocysteine wine
| INTRODUCTION |
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10 mg betaine/L; betaine is a methyl donor in the methylation of homocysteine, and, in sufficient amounts, it can decrease tHcy. Recently, de Bree et al (22) observed an inverse relation between beer consumption and tHcy concentrations in a population-based study. No effect of wine drinking was seen, but wine consumption in the Netherlands is relatively low. None of the above-mentioned studies was performed in a predominately wine-drinking population. We therefore studied the possible relation between tHcy concentrations and the consumption of various alcoholic beverages in an adult population in France, where wine drinking is common, to derive a more complete picture on this topic.
| SUBJECTS AND METHODS |
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-carotene, selenium, and zinc) supplementation at nutritional doses on the incidence of cancer and ischemic heart disease. The cohort consists of women aged 3560 y (
± SD: 46.4 ± 6.7 y) and men aged 4560 y (
: 51.1 ± 4.7 y), none of whom use vitamin supplements other than those under study. Subjects were invited to participate by a multimedia campaign conducted throughout France. Potential subjects received detailed information on the study and performed a self-test of the acceptability of the daily supplement. A total of 12735 subjects were included at baseline in 1994, and they were followed for 8 y. The recruitment and study design was reported in detail earlier (23). tHcy concentrations were measured in a random subsample of 2000 subjects from both the intervention and placebo groups. Among these 2000 subjects, 1196 had completed
6 dietary records during the year before the tHcy measurement and were included for the present analyses. The selected subsample did not differ from the total study population in classic cardiovascular disease risk factors or in tHcy concentrations. The study was approved by the Ethics Committee for Studies on Human Subjects (CCPPRB no. 706) of Paris-Cochin Hospital and the Comité National Informatique et Liberté (CNIL no. 334641), which requires that all medical information be kept confidential and anonymous.
Dietary assessment
Subjects completed a 24-h record every 2 mo, for a total of 6 records per year. The day of the record was randomly allocated to 2 weekend days and 4 weekdays per year in such a way that, by the end of the study, there were records for each day of the week in all seasons. Information was collected with the use of the Minitel Telematic Network (France Telecom, Paris). The Minitel is a small terminal widely used in France as an adjunct to the telephone, and the system can be considered a primitive version of the Internet. At the beginning of the study, participants received (free of charge) a tiny central processing unit specifically developed for the study and loaded with specialized software that allows them to fill out the computerized dietary record offline and to transmit data during brief telephone connections. The software allowed the subjects to communicate with the coordinating center and to ask questions, which were answered within a day by one of the investigators. This software and an instruction manual for the codification of foods guided the participants during the completion of the records. The manual contains photographs showing portions in 3 sizes; with the use of those sizes and 4 hypothetical portions2 intermediate (volume between that in photographs A and B and volume between that in photographs B and C) and 2 extreme (less than the volume in photograph A and more than the volume in photograph C)7 choices are available by which the participants could indicate the portion consumed. Photographs of portion sizes were previously validated by using 780 subjects in a pilot study (24). Data on variables such as cooking methods, seasoning, types of foods (eg, fresh, frozen, and canned), and place and time of consumption were also collected. Six dietary records allow the estimation of macronutrient intake with a precision of 90% (25).
Measurements
All measurements were performed at the end of the second study year (19951996). Weight and height were measured with subjects in underwear, and body mass index (in kg/m2) was calculated. Information on smoking habits was obtained by means of a questionnaire. Blood samples were obtained in evacuated tubes (Vacutainer; Becton Dickinson, Le Pont de Claix, France) from participants who had been fasting for 12 h. Plasma tHcy concentrations were measured by using a BioRad kit (Hercule SA, Vitry sur Seine, France) and HPLC with fluorometric detection; the intraassay CV was 6.8% and the interassay CV was 5.7% (26). Folate concentrations were estimated by microbiological assay with the use of Lactobacillus casei (Lactobacillus rhamnosus, ATCC 7469; Institut Pasteur, Paris) and a folic acidcasei medium (Difco Labs, Detroit) (27). The CV for each assay was <7%. Red blood cell folate values were calculated by using packed cell volume measured with the use of microcentrifugation at 7000 x g for 5 min at room temperature (28). Laboratory quality assurance included analysis of serum from standard pools with each run and, if available, international standards.
Statistical analysis
Intakes of energy, alcohol, vitamins B-6 and B-12, and folate were calculated from food-consumption data (including alcoholic beverages) with the use of the French computerized food-composition table CIQUAL (Agence Française de la Securité des Aliments, Maisons-Alfort, France; 29). Associations between tHcy concentration or red blood cell folate and alcohol consumption were evaluated by using linear regression analyses. These analyses were adjusted for confounding factors (ie, age, smoking, intakes of energy and B vitamins, coffee consumption, and body mass index) that were initially selected on the basis of information from the literature and that were included in the final multivariate model if they influenced the ß-coefficient of the dependent variables when compared with a nonadjusted model. To test the linearity of the relations, we included second-order variables in the regression model. All statistical analyses were carried out with SAS statistical software (version 6.2; SAS Institute Inc, Cary, NC).
| RESULTS |
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-coefficient was 0.096.
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| DISCUSSION |
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These results were obtained through cross-sectional analyses, and thus no conclusions about causality can be drawn. However, because the consumption of alcoholic beverages was estimated over the year before the tHcy measurement, it seems likely that alcohol consumption is causally related to tHcy concentrations. Furthermore, the relation between tHcy concentrations and the consumption of alcoholic beverages persisted after adjustment for the major lifestyle determinants of tHcy, and thus a lifestyle related to the consumption of alcoholic beverages probably does not explain the observed associations.
It is well known that tHcy concentrations are greatly elevated in persons with chronic alcoholism (16,17). This effect is in part due to nutritional deficiencies of folic acid and vitamin B-6 in alcoholics. On the other hand, it was shown that chronic ethanol feeding inhibited methionine synthase in rats (30). There is probably a direct interference of alcohol or its metabolites with the intracellular metabolism of folic acid, vitamin B-6, and vitamin B-12 at more than one site (16).
Although studies on the effects of alcohol on tHcy in the general population showed seemingly contradicting results, it is noteworthy that the studies showing an inverse association were performed in populations that drank little wine and predominantly drank beer. Two studies in the Netherlands and one study in the United Kingdom observed an inverse association between alcohol consumption and tHcy (15,31,32). In addition, de Bree et al (22) found an inverse association in a mainly beer-drinking population but no association with the consumption of wine or spirits. Mayer et al (33) observed an inverse relation between beer consumption and tHcy concentrations in adult residents of Pilsen (Czech Republic). Furthermore, Jacques et al (13) showed that the positive association of alcohol consumption with tHcy concentrations in their study was due to the consumption of wine and spirits only; beer drinking was not associated with tHcy. In a randomized crossover trial in which subjects consumed 4 glasses of wine, spirits, beer, or water, Van der Gaag et al (20) showed, more strongly, that wine and spirit consumption increased tHcy, whereas that of beer did not. Two studies in the United States, one in young women and one in elderly subjects, found a J-shaped relation between total alcohol consumption and tHcy (8,14). Three studies in middle-aged US subjects observed a positive association between these 2 variables (13,34,35), whereas Gudnason et al (36), who evaluated data from various European countries, and Lussier-Cacan et al (37), who studied subjects living in Montreal, did not find any relation between alcohol intake and tHcy. In the present study, we observed a positive association between beer consumption and tHcy concentrations in men. However, when we evaluated the association in those who drank no wine, it became inverse, although not significantly so, probably because of the low numbers in that group [there were too few women who drank beer and no wine (n = 12) to explore this effect in women as well]. This finding confirms our hypothesis that beer drinking is inversely related to tHcy in persons who drink no wine. It is possible that the B-vitamin content of beer (vitamins B-12 and B-6 and folate) is enough to counteract the tHcy-increasing effect of the alcohol in beer, but not enough to compensate for the effects of the alcohol in wine consumed in the same period. Apparently the betaine content in wine (21) is too low to counteract the negative effects of alcohol on tHcy. This hypothesis may explain the lack of effect of total alcohol consumption in the European study in which the wine-drinking and beer-drinking populations were mixed (36). That may also have been the case in the study from Montreal (37). If we speculate even further, the observed J-shaped relation between total alcohol consumption and tHcy in 2 studies in young women and elderly subjects (8,14) may be logical in light of this hypothesis if those subjects who were low alcohol consumers were beer drinkers and those who were high alcohol consumers were wine drinkers.
Finally, the fact that we did not find a positive effect of wine consumption on tHcy in the men can be explained by the positive association between red blood cell folate and wine consumption in these subjects. This relation may have masked the increasing effect of wine consumption. When we adjusted the model for folate (red blood cell folate) status, the association between wine consumption and tHcy indeed increased 10-fold (ß-coefficient: 0.43 µmol/L per glass), but it still was not significant (P = 0.21). The consumption of spirits in our population was probably too low to show a positive effect on tHcy.
At the start of our study, we hypothesized that a J-shaped relation exists between alcohol consumption and tHcy concentrations. From our results and those of the above-mentioned studies, we must refute this hypothesis, because the consumption of wine and spirits seems to increase tHcy in a linear fashion as a result of the effects of alcohol. Moderate beer consumption, however, seems to have no effect (or even an inverse effect) on tHcy, probably because of the folate, vitamin B-6, and vitamin B-12 contents of beer.
| ACKNOWLEDGMENTS |
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