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* Netherlands Organization for Applied Scientific Research (TNO), Nutrition and Food Research, Zeist, The Netherlands
Wageningen University, Wageningen, The Netherlands
Departments of Biochemistry and Cell Biology & Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands
** Laboratoire de Biochimie, Faculté des Sciences Pharmaceutiques, Châtenay-Malabry, France
Published, JLR Papers in Press, July 1, 2004. DOI 10.1194/jlr.M400109-JLR200
1 To whom correspondence should be addressed. e-mail: hendriks{at}voeding.tno.nl
| ABSTRACT |
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In conclusion, this study shows that moderate alcohol consumption increases the capacity of serum to induce cholesterol efflux from J774 mouse macrophages, which may be mediated by ABCA1.
Abbreviations: apoA-I, apolipoprotein A-I; BMI, body mass index; CE, cholesteryl ester; CETP, cholesteryl ester transfer protein; CVD, cardiovascular disease; FC, free cholesterol; HDL-C, HDL cholesterol; LpA-I, lipoprotein A-I; PL, phospholipid; PLTP, phospholipid transfer protein; RCT, reverse cholesterol transport; SR-BI, scavenger receptor class B type I; TC, total cholesterol; TG, triacylglycerol
Supplementary key words ATP binding cassette transporter 1 reverse cholesterol transport J774 macrophages Fu5AH cells preß-high density lipoprotein body mass index
| INTRODUCTION |
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Epidemiologic studies have shown that moderate alcohol consumption is associated with a decreased risk of CVD (2). Several mechanisms, such as a reduction in blood coagulation and fibrinolysis, may be involved in the protective effect of moderate alcohol consumption on CVD (3, 4). However, more than 50% of the protective action of alcohol consumption is mediated by an increase of HDL cholesterol (HDL-C) (5, 6). In previous studies, we have shown that moderate alcohol consumption results in an increased blood HDL-C concentration (79). The functional consequences of this increase in HDL-C concentration are not fully understood, but one of the protective actions may involve an increase of paraoxonase activity, an HDL-associated enzyme that may protect LDL against oxidation (8, 10, 11).
The role of HDL in reverse cholesterol transport (RCT) is another proposed mechanism for these protective effects. RCT consists of the following steps: efflux of free cholesterol (FC) from peripheral tissue, esterification of FC by plasma LCAT, and incorporation of cholesteryl esters (CEs) in the HDL particle. HDL-CEs are cleared from plasma by the liver for catabolism via several pathways (12).
The first step in RCT, cholesterol efflux, can be mediated by three mechanisms (13, 14). The first mechanism is aqueous diffusion, in which cholesterol molecules desorb from the plasma membrane to be captured by acceptors such as mature HDL particles. The second mechanism of efflux involves the scavenger receptor class B type I (SR-BI). SR-BI mediates cellular cholesterol efflux to mature HDL particles in addition to its role in selective lipid uptake (13, 14). In one of our previous studies (15), we showed that moderate alcohol consumption increased plasma capacity to induce cholesterol efflux from Fu5AH rat hepatoma cells, which have high levels of SR-BI.
The third mechanism of cholesterol efflux involves the release of FC to lipid-free or lipid-poor apolipoproteins, particularly apolipoprotein A-I (apoA-I) and preß-HDL, which is mediated by ABCA1. This lipid efflux is the first stage of HDL biogenesis. Subsequently, FC is esterified by LCAT and mature, spherical
-HDL particles are formed (13). Efficient cholesterol efflux from macrophages is critical for the prevention of foam cell formation, and increased cellular ABCA1 levels may thus protect against atherosclerosis (16). To the best of our knowledge, the effect of moderate alcohol consumption on cholesterol efflux mediated by the ABCA1 receptor has never been investigated. Therefore, we have used the recently validated model of ABCA1-expressing J774 macrophages (17) to study the effect of moderate alcohol intake on serum cholesterol efflux capacity.
| SUBJECTS AND METHODS |
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Study design
The subjects entered a randomized, partially diet-controlled, crossover trial consisting of two periods of 17 days. A random sample of 12 men were allocated to the sequence of consuming whisky (Famous Grouse Scotch Whisky, 40 vol% alcohol) during dinner in the first period followed by drinking tap water (control beverage) during dinner in the second period. The other 12 men consumed water first, followed by whisky. The participants and staff administering the protocol were not blinded to the treatment sequence.
Four glasses (125 ml in total) of each beverage were consumed daily during dinner at TNO BIBRA. One glass was taken before dinner, two glasses during dinner, and one glass after dinner. During the whisky period, alcohol intake equaled 40 g/day.
The daily dinner contained
4,200 kJ and consisted of
21% of energy from protein, 38% of energy from fat, and 41% of energy from carbohydrate. The menu consisted of a 4-day rotation. Dinner was prepared each day by a local caterer using the same source of ingredients throughout.
Each period was preceded by 3 alcohol-free days to prevent carryover effects. Subjects were asked to continue their normal eating habits (except for the provided dinner) and carry on with their normal everyday activities. Compliance with the protocol was checked by a daily questionnaire. Body weight was measured on the first and last days of each treatment period with the subjects wearing indoor clothing, without shoes, wallet, and keys. An alcohol breath test (Alcoholtest 7410; Dräger Nederland, Zoetermeer, The Netherlands) was performed during the whisky treatment to ensure that subjects left the institute safely.
At the end of each treatment period, fasting blood samples were collected in the morning. Blood was taken from an antecubital vein and collected in a tube containing lithium-heparin to obtain plasma and in a tube containing gel and clot activator to obtain serum (Vacutainer Systems; Becton Dickinson, Plymouth, UK). To obtain plasma, the blood was centrifuged for 20 min at 2,000 g and 4°C between 15 and 30 min after collection. To obtain serum, the blood was centrifuged for 15 min at 2,000 g and 4°C between 15 and 30 min after collection. The plasma and serum samples were stored at 80°C until analysis.
HDL was separated from the apoB fraction by precipitation of the latter with polyethylene glycol. Serum total and HDL-C (cholesterol oxidase/peroxidase-amidopyrine method) and triacylglycerols (TGs; glycerol phosphate oxidase/peroxidase-amidopyrine method), as well as unesterified cholesterol, TG, and phospholipids (PLs) in HDL, were analyzed enzymatically. The coefficients of variation within runs were 0.8% for total cholesterol (TC), 1.5% for TG, and 1.3% for HDL-C. CEs were calculated as the difference between HDL-FC and total HDL-C. LDL-C was calculated by the equation of Friedewald, Levy, and Fredrickson (18). ApoA-I was analyzed in serum according to a commercial nephelometric assay on the Cobas Mira S (Roche). Lipoprotein A-I (LpA-I; containing apoA-I but not apoA-II) concentrations were determined by double rocket immunoelectrophoresis using the assay kit provided by Sebia (Benelux N.V., Brussels, Belgium), according to the instructions of the manufacturer. The stained and dried gels were scanned and rocket heights were determined. A standard curve was made based on the linear relationship between rocket height and concentration. LpA-I concentration was determined as a function of rocket height, whereas LpA-I:A-II was calculated by subtraction (total plasma apoA-I minus LpA-I).
Quantification of preß-HDL by crossed immunoelectrophoresis
The crossed immunoelectrophoresis consisted of agarose electrophoresis in the first dimension for separation of lipoproteins with preß and
mobility. Antigen migration from the first agarose gel onto the second agarose gel, containing goat anti-human apoA-I antiserum (3%, v/v), was used to quantitatively precipitate apoA-I. The antiserum was monospecific for human apoA-I. Lipoprotein electrophoresis was carried out on 1% (w/v) agarose gels in barbital buffer (50 mmol/l, pH 8.6). Plasma was applied at 3 µl/well and run in an LKB 2117 system (4°C for 2 h, 250 V for the first dimension). The track of the first agarose gel was excised and annealed with melted agarose to a gel containing 3% (v/v) goat anti-human apoA-I antiserum that was cast on GelBond film (Pharmacia). The plate was run in an LKB 2117 system (4°C for 20 h, 50 V) in barbital buffer. Unreacted antibody was removed by extensive washing in phosphate-buffered saline. The gel was stained with Coomassie brilliant blue R250 and subsequently dried. Areas under the preß-HDL and
-HDL peaks were scanned and calculated using Scion software. The preß-HDL area can be expressed as the percentage of the sum of the preß-HDL and the
-HDL areas. The preß-HDL concentrations are given in absolute amounts (milligrams of apoA-I present in preß-HDL per milliliter of plasma). These values were calculated from the percentage of apoA-I present in preß-HDL and the total plasma apoA-I concentration.
Plasma cholesteryl ester transfer protein, LCAT, and phospholipid transfer protein activity
Plasma cholesteryl ester transfer protein (CETP) activity was determined after removal of VLDL and LDL from each sample as described previously (19, 20). The isotope assay measures the transfer of [1-14C-oleate]CE from labeled LDL to an excess of unlabeled normal HDL. LCAT was inhibited with dithiobis-2-nitrobenzoic acid. CETP activity was calculated as the bidirectional transfer between labeled LDL and HDL. There is a strong correlation between the measured CETP activities and CETP mass (21). Plasma LCAT activity was measured using excess exogenous substrate as described (22). Plasma phospholipid transfer protein (PLTP) activity was also measured with exogenous substrates (20). Plasma samples were incubated with [3H]phosphatidylcholine-labeled liposomes and an excess of HDL. Thereafter, the liposomes were precipitated with a mixture of NaCl, MgCl2, and heparin (final concentrations of 230 mmol/l, 92 mmol/l, and 200 U/ml, respectively). This method is not affected by the PL transfer-stimulating action of CETP (20). The measured CETP, LCAT, and PLTP activities are linearly related to the amount of plasma used in all incubations. The plasma CETP, LCAT, and PLTP activities obtained with these methods reflect the active amount of these proteins in plasma and are not influenced by the endogenous plasma lipoproteins.
For each assay, all plasma samples were analyzed in one run using the same batch of substrates. Plasma CETP, LCAT, and PLTP activities were related to a reference pool of human plasma obtained by mixing equal amounts of plasma, isolated at 4°C, from 250 healthy blood donors. All activities are expressed in arbitrary units, corresponding to the percentages of the respective activities in the reference pool plasma; 100% is equivalent to the following activities: 216 nmol/ml/h for CETP, 65 nmol/ml/h for LCAT, and 13.9 µmol/ml/h for PLTP. The within-assay coefficients of variation for the assays of plasma CETP, LCAT, and PLTP activities amount to 2.7, 4.5, and 3.5%, respectively.
Cholesterol efflux from J774 cells
Cholesterol efflux from J774 mouse macrophage cells was determined by the use of a previously validated modification (17, 23, 24) of the general technique described by Sakr et al. (25). The current experiment is based on previous tests using normolipidemic human serum to obtain an optimal dilution for serum and was carried out strictly according to the experimental conditions described by Fournier et al. (17). Briefly, serum samples diluted to 1% were incubated at 37°C with the [3H]cholesterol-labeled cells pretreated for 1012 h with or without 0.3 mmol/l 8-(4-chlorophenylthio) cAMP (Sigma). To prevent intracellular cholesterol esterification, the ACAT inhibitor GW 447C88 was added into the medium during the labeling period and all subsequent stages of the experiment. After 4 h of incubation, the radioactivity released to the medium was expressed as the fraction of the total radioactive cholesterol present in the well. The percentage of ABCA1-mediated FC efflux was calculated as the percentage of FC efflux from cells upregulated with cAMP minus the percentage of FC efflux from control J774 cells. This calculation controls for the contribution of FC efflux from the aqueous diffusion mechanism and yields data that are specific for the contribution of ABCA1 (ABCA1-dependent cholesterol efflux). All determinations were made in triplicate. A standard pool of human serum was used to assess the daily variation in efflux experiments. The efflux values obtained with the standard pool of all experiments are averaged, and this serves as the 100% value. Each value of the experiments with the standard pool is calculated as a percentage of the overall average, and this percentage is applied to correct all test values for that day.
Cholesterol efflux from Fu5AH cells
The capacity of plasma to induce cholesterol efflux from Fu5AH cells was measured as described by de la Llera Moya, et al. (26). In short, Fu5AH cells were grown to confluency in the presence of [3H]cholesterol. After removal of medium containing the labeled cholesterol, the cells were allowed to equilibrate for 24 h. Subsequently, cholesterol efflux was measured in triplicate over 4 h in the presence of 20-fold-diluted plasma samples. Cholesterol efflux (radiolabel present in the culture medium after 4 h) is expressed as a percentage of the radioactivity initially present in the cells (fractional efflux). Data were corrected for blanks, being the amount of label in the medium after 4 h in the absence of plasma. The within-assay coefficient of variation of the cholesterol efflux assay is 5.5%. The fractional cholesterol efflux using Fu5AH cells is mainly attributed to SR-BI, because this cell line has a high expression of SR-BI (27).
Statistical analysis
Data analysis was performed using the SAS statistical software package (SAS/STAT version 6.12; SAS Institute, Cary, NC). Data were tested for normality using the Shapiro-Wilk test and by visually inspecting normality plots. Treatment effects were evaluated by ANOVA using the mixed-model procedure. The factors treatment, moment, treatment order, BMI, and the interaction term of treatment and BMI were included in the model. The effect of BMI on the outcome measures was obtained from the BMI factor in the ANOVA model. Correlation coefficients to assess the association between (relative changes) outcome measures were calculated according to Pearson or Spearman if variables were not distributed normally. Two-sided probability values were considered statistically significant at P < 0.05.
| RESULTS |
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27). Also, the cholesterol efflux capacity using Fu5AH cells tended to be lower in overweight men. However, ABCA1-dependent cholesterol efflux capacity was not different between lean and overweight men. Table 5 shows that HDL-C, HDL-PL, apoA-I, and LpA-I were higher in lean men than in overweight men, whereas LCAT activity was 9.2% higher in overweight men. VLDL-C and TG tended to be lower in lean men than in overweight men. No significant interaction between BMI and alcohol consumption has been found for any of the efflux and lipoprotein variables.
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| DISCUSSION |
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The study was partially diet-controlled and performed according to a randomized crossover design. No important deviations from the study protocol occurred, and no significant changes of body weight were found during the study. It is therefore unlikely that the results of this study are confounded by carryover effects or by changes in diet or body weight. In this study, serum and plasma used for the cholesterol efflux experiments were diluted to 1% to approach the composition of the interstitial fluid that comes in direct contact with the cells. Cholesterol efflux capacities measured in this study were of the same order of magnitude as those described previously (15, 17, 28). Nevertheless, any extrapolation of the ex vivo cholesterol efflux capacity to the in vivo situation should only be done with caution. However, the consistency between our results of cholesterol efflux capacity and related parameters measured in vivo indicate that in this case this extrapolation is not unreasonable.
The findings of this study, however, do not agree with those of Marmillot et al. (29), who showed a 21% decrease of cholesterol efflux from mouse J774 macrophages induced by plasma of male Wistar-Furth rats after chronic alcohol consumption. Apart from the species difference, the rats were fed a diet containing as much as 36% of energy from alcohol, which is much higher than the moderate dose of alcohol (
10 energy %) in our study. This is another reason why the results of these studies cannot be directly compared. A similar inhibition of cholesterol efflux has been reported in a study with in vitro fibroblasts by Avdulov et al. (30) using a high alcohol concentration.
In human intervention studies with moderate alcohol consumption, the effect on cholesterol efflux has only been investigated using Fu5AH hepatoma cells. These studies showed increases in cholesterol efflux of 57% (15, 31), which is in accordance with the findings of our current study using this cell system (4.6%). The impact of moderate alcohol consumption on cAMP-stimulated (6.3%) and particularly on ABCA1-dependent cholesterol efflux capacity in J774 cells (17.5%) was greater than the effects observed using Fu5AH cells. Our results show that both mechanisms may play a role in the cardioprotective effect of moderate alcohol consumption but suggest that ABCA1-mediated cholesterol efflux may be a more relevant pathway in this respect.
Besides the increased cholesterol efflux capacity, other parameters involved in RCT were also increased by moderate whisky consumption (preß-HDL, HDL-C, HDL-PL, apoA-I, LpA-I, LpA-I:A-II, and LCAT activity). Moreover, total apoA-I correlated significantly with cAMP-stimulated cholesterol efflux capacity, which is in agreement with the concept that cholesterol efflux from macrophages may be mediated by cholesterol-poor apoA-I (32, 33). On the other hand, the increase of cholesterol efflux capacity did not correlate significantly with changes of preß-HDL. This may simply be attributable to the relatively large variance in the cholesterol efflux capacity measure. However, because preß-HDL was measured in vivo and cholesterol efflux was measured ex vivo after 4 h of incubation, serum proteins involved in the cycle of apoA-I between nascent and mature HDL species such as LCAT, CETP, or PLTP may influence the cholesterol efflux process (17, 34). LCAT, which increased significantly after whisky consumption in this study, may contribute to the preß-HDL concentration (17, 34). On the other hand, additional formation of preß-HDL through PLTP may also occur (35, 36), as we found a relatively strong correlation (r = 0.65) between changes of preß-HDL and PLTP activity in this study. Even using the highly diluted serum, these events could take place during the 4 h incubation period and may lead to attenuation of the correlation between preß-HDL and cholesterol efflux capacity. Finally, the chemical composition of preß-HDL may also play a role. This composition is not entirely defined but is likely to contain both precursors and products of ABCA1-mediated cholesterol efflux (34). Thus, because the lipid content of preß-HDL may influence the structure and functional properties of apoA-I (37), these variations may affect cholesterol efflux capacity and therefore attenuate its correlation with preß-HDL concentration.
We also found significant positive correlations between cholesterol efflux capacity both from J774 and Fu5AH cells and HDL-PL. The latter correlation is in accordance with earlier studies that reported that SR-BI-rich cells are highly sensitive to HDL-PL concentrations (38, 39). The correlation between cholesterol efflux capacity from cAMP-treated J774 cells and HDL-PL was also found in patients with primary hypertriglyceridemia by Brites et al. (40). Recent results of Yancey et al. (28) using plasma from human apoA-I transgenic mice, however, are not entirely consistent with these data. This may be attributable to the relatively extreme changes in HDL composition resulting from overexpression in these transgenic mice or to a species difference.
Furthermore, this study shows that cholesterol efflux capacities of serum, HDL-C, HDL-PL, apoA-I, and LpA-I were significantly lower in obese than in lean subjects. VLDL-C and TG tended to be higher and LCAT activity was significantly higher in obese than in lean subjects. Although the differences in our study are less pronounced, our findings show the same pattern as the results of Sasahara et al. (41), who studied the pathway of cholesterol efflux from human fibroblasts in lean and obese subjects. They found a somewhat larger difference between lean and obese subjects, but this may be attributable to methodological differences, such as another study population or the use of another cell system (fibroblasts). Syvänne et al. (42), using the Fu5AH cell system, observed a decreased cholesterol efflux capacity in patients with non-insulin-dependent diabetes mellitus (7%) or coronary artery disease (7%) of the same magnitude as our findings in obese subjects.
To the best of our knowledge, this is the first study to show that moderate alcohol consumption increases ABCA1-dependent cholesterol efflux capacity of human serum measured with J774 macrophages. This increase of cholesterol efflux capacity using J774 cells was larger than the increase using Fu5AH cells, suggesting that the ABCA1 transporter is more relevant for the effect of moderate alcohol consumption on HDL-C than the SR-BI. At the same time, moderate alcohol consumption increased other parameters of the RCT pathway, such as total apoA-I, LpA-I:A-II, preß-HDL, HDL-C, and LCAT activity. The increase in serum cholesterol efflux capacity from J774 cells correlated with the increase of total apoA-I, but the correlation with preß-HDL did not reach statistical significance. Altogether, these findings suggest that moderate alcohol consumption may stimulate early steps in the RCT pathway mediated by ABCA1.
| ACKNOWLEDGMENTS |
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Manuscript received March 18, 2004 and in revised form May 18, 2004.
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