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Journal of Lipid Research, Vol. 44, 2374-2381, December 2003
Copyright © 2003 by American Society for Biochemistry and Molecular Biology




* Unit of Internal Medicine, Department of Clinical and Experimental Medicine, University of Verona, Verona, Italy
Institute of Clinical Chemistry, University of Verona, Verona, Italy
Section of Biology and Genetics, Department of Mother and Child and BiologyGenetics, University of Verona, Verona, Italy
Published, JLR Papers in Press, October 16, 2003. DOI 10.1194/jlr.M300253-JLR200
1 To whom correspondence should be addressed. e-mail: oliviero.olivieri{at}univr.it
| ABSTRACT |
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In conclusion, apoC-III-rich lipoprotein metabolism and the APOC3 polymorphism have relevant impacts on the CAD risk of MS patents.
Supplementary key words apolipoproteins apoC-III coronary disease genes lipids
| INTRODUCTION |
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All of the key components of the syndrome have a genetic basis (4, 5). As a consequence, an interaction or multiplicative effects of polymorphisms in a number of different genes may potentially be involved in the pathogenesis (4). Gene mutations interfering with specific insulin or hormone-responsive elements in the regulatory regions have been regarded lately with particular attention (5).
In addition to the presence of hypertriglyceridemia and low serum HDL cholesterol, MS and/or insulin resistance are also characterized by an increase of small LDL particles and triglyceride (TG)-rich lipoproteins, features that also contribute to the cardiovascular disease risk (48). One of the most important and reliable markers of TG-rich lipoproteins levels is apolipoprotein C-III (apoC-III). ApoC-III is a 79-amino-acid protein synthesized by liver and intestine, which is an essential constituent of circulating particles rich in triacylglycerol, i.e., chylomicrons and VLDLs. ApoC-III inhibits the hydrolysis of TG-rich particles by the lipoprotein lipase and their hepatic uptake mediated by apoE (9, 10). Therefore, the overexpression of the APOC3 gene results in an overt hypertriglyceridemia [as reviewed in ref. (11)]. In spite of this important role of apoC-III in TG metabolism, relatively few data exist in the literature regarding the relationships between apoC-III and hypertriglyceridemia in MS patients (68). The atherogenetic role of apoC-III (1217), as well as that of hypertriglyceridemia in MS for coronary artery disease (CAD) risk (36), is well recognized. However, it is still unclear whether elevated levels of TG-rich lipoproteins and apoC-III are highly coexpressed in MS and what their specific contribution is to the higher risk for cardiovascular disease in MS patients.
The APOC3 gene is transcriptionally downregulated by insulin levels (18), and sequences in the promoter region with high affinity for the nuclear transcription factors mediating the insulin response are highly polymorphic (19). Variants at positions -455 and -482 have been shown to have a reduced affinity for the nuclear transcription factors mediating the insulin response (20), so that they appeared to be the first example of a genetic polymorphism in an insulin-responsive element and of "insulin resistance" at the gene level (20).
Recently, we reported that homozygosity for the APOC3 T-455C variant represents an independent factor for the susceptibility to CAD risk (21). Because homozygosity for the -455C allele is associated with increased levels of TG and apoC-III (21), we hypothesized a possible link between the -455C insulin-resistant variant and the MS phenotype, with a potential additive interaction for CAD risk. To this aim, in a large case-control study of subjects angiographically defined as either CAD or CAD-free, we analyzed TG and apoC-III levels according to the presence of both the MS phenotype and the -455C allele.
| METHODS |
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30 kg/m2, clinically documented history of hypertension or blood pressure >140/90, fasting glucose >110 mg/dl, plasma TG >150 mg/dl, and HDL cholesterol <40 (50 for females) mg/dl. All the remaining patients (including those with only one or two of the above described clinical features) were considered to be MS-free subjects. The study was approved by our institutional review boards. Either written or oral informed consent was obtained from all patients.
Biochemical analysis
Samples of venous blood were drawn from each subject in the free-living state after an overnight fast. Serum lipids and the other routine biochemical parameters were determined as previously described (21). Insulin was measured by an immunometric "sandwich" assay (Immulite 2000 Insulin) from Diagnostic Products Corporation, Los Angeles, CA; intra- and interassay variation coefficients of the method were <5%. To obtain an estimate of insulin resistance, we applied the homeostasis model assessment (HOMA) of insulin resistance using the following formula: HOMA = fasting insulin (µIU/ml) x fasting glucose (mmol/l)/22.5 (22). ApoA-I, apoB, and apoE were measured by commercially available nephelometric immunoassays; antisera, calibrators and BNII nephelometer were from Dade Behring, Marburg, Germany. Intra-asssay variation coefficient was calculated on 10 control replicates and interassay on duplicates over 10 days. Imprecision was within manufacturer specifications, i.e., the intra-assay variation coefficients were 2.1%, 1.6%, and 1.98%, and interassay variation coefficients were 3.2%, 2.36%, and 3.98% for apoA-I, apoB, and apoE, respectively.
ApoC-III was measured by a fully automated turbidimetric immunoassay. The reagents were obtained from Wako Pure Chemical Industries (Osaka, Japan), and the procedure recommended by the manufacturer was implemented on an RXL Dimension Analyzer (Dade International Inc., Newark, DE). Imprecision was assessed on three pools of control sera with low, medium, and high concentrations of apoC-III; intra-assay variation coefficients were 1.84%, 2.02%, and 1.98%, and interassay variation coefficients were 4.4%, 3.4%, and 2.29% for low, medium, and high concentration, respectively. In a subgroup of patients (CAD, n = 80; CAD-free, n = 36), apoC-III was measured in whole serum as well as heparin-Mn++ supernatants and heparin-Mn++ precipitates. In this way, apoC-III associated with HDL or with LDL+VLDL fractions was separately quantified.
Genotype analysis
Genomic DNA was extracted from whole blood samples by the phenol-chloroform procedure, and all subjects were genotyped for the APOC3 T-455C polymorphism as previously described (21).
Statistical analysis
All computations were performed using the SPSS 10.0 statistical package (SPSS Inc., Chicago, IL). Distributions of continuous variables were expressed as means ± SD. Logarithmic transformation was performed for skewed variables, i.e., for apoC-III and TG, and the statistical differences concerning these parameters were also computed on the corresponding log-transformed values, although, for the sake of simplicity and clearness, nontransformed data are reported in the Results. Statistical significance for differences in quantitative variables was assessed by Student's unpaired t-test, and it was also tested by one-way ANOVA adjusted for age and/or sex (General Linear Model procedure). Qualitative data were analyzed by the
2 test. Correlation between log-transformed total apoC-III (measured in whole serum) and log-transformed apoC-III associated with HDL or associated with LDL-VLDL was evaluated by Pearson coefficient.
The T-455C allele and genotype frequencies were compared, by
2 analysis, with the values predicted on the basis of the Hardy-Weinberg equilibrium. Lipid variables were compared among patients with different genotypes by ANOVA, using the Tukey procedure for post hoc multivariate comparison of the means. Odds ratio (OR) and 95% confidence interval (95% CI) for CAD or MS were calculated by logistic regression analysis. In particular, to assess the extent to which APOC3 genotypes and MS were associated with CAD, the population was stratified in six patient groups (TT, TC, and CC genotypes, with or without MS) and OR with 95% CI was estimated by logistic-regression analysis. To provide separate ORs for each genotype, dummy variables were used, considering MS-free TT genotype as the reference group. Adjustment for the risk factors conventionally not associated with MS (age, gender, smoking status, and total cholesterol) was performed by including these covariates in a second set of multivariate logistic regression models. A regression model for formal interaction between MS and the T-455C genotype was also built to estimate the CAD risk proportion associated with the MS genotype term.
| RESULTS |
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40% of MS patients presented overt insulin resistance (HOMA in the upper quartile of the distribution). MS patients were characterized by increased levels of apoC-III and apoE (Table 2). In particular, 74% of MS patients had apoC-III values higher than the median distribution value of the MS-free population (=10.2 mg/dl). To evaluate whether the increase in apoC-III is a common feature in MS patients, we then computed the risk for MS associated with apoC-III levels divided in quartiles distribution of the study population as a whole. As shown in Fig. 1
, OR for MS was directly related with apoC-III levels divided in quartiles; this relationship reached statistical significance for apoC-III levels >10.58 mg/dl (values corresponding to the third or fourth quartile), and was confirmed even after adjustment for age, sex, total cholesterol, apoA-I, apoB, apoE, TG, and the other MS elements. In the patient samples analyzed by means of heparin-Mn++ centrifugation, total apoC-III was strongly correlated with non-HDL apoC-III concentration (R = 0.93; P < 0.0001) and much more weakly correlated with HDL-associated apoC-III (R = 0.38; P < 0.001).
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| DISCUSSION |
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Genetic and/or acquired mechanism(s) leading to the development of MS may, directly or indirectly, imply an increased apoC-III synthesis, due either to gene activation and/or to stabilization of its transcript, or to a decreased catabolism of the protein. The former mechanism may reasonably be invoked in the case of carriership of the -455C genetic variant. It has been shown that the most frequent promoter variant, -455T, is associated with a 4050% insulin-mediated downregulation of APOC3 gene expression (20). In contrast, the less common -455C variant seems associated with the complete loss of the insulin-mediated suppression of APOC3 gene transcription (20). Based on these findings, -455C carriership should lead, in vivo, to an increased synthesis of apoC-III in a proportion ranging from 25% to 50%, depending on the presence of the variant in heterozygosis and homozygosis, even in the presence of an effective cell insulin action. A recent study reported for the first time the reference limits for apoC-III in a large, healthy, French Caucasian population, in which the level corresponding to the 50th percentile for middle-aged men was 10 mg/dl (23). Considering the French values as a reference, our MS Italian Caucasians with either the -455TC or -455CC genotype had apoC-III levels 29% and 53% higher, respectively. Patients with the same genotypes but without MS showed, however, increments of apoC-III by 7% and 11.3%, respectively. Using the apoC-III mean values observed for -455TT MS-free subjects in our population as a reference (10.6 mg/dl, see Table 4), we observed that percent increases of apoC-III for MS patients were substantially similar to those reported in the French study (22% and 44% of increment for heterozygous and homozygous, respectively). There were none or only marginal differences (6.6%) in comparison with the corresponding genotype groups of MS-free patients. Therefore, the comparison of the data predicted by in vitro gene expression studies with those obtained in our human study suggests that the apoC-III-raising effect inherent in the genetic variant cannot be expressed in the absence of MS and becomes detectable only with the coexistence of MS. The opposite situation does not necessarily occur. In fact, increased apoC-III levels in MS do not require the presence of the -455C variant. Indeed, apoC-III was increased also in noncarriers with MS (Table 6), and no difference in distribution of T-455C genotypes was observed between MS and MS-free patients (Table 2). This observation excludes an etiologic role for the gene variant in MS and implies that other independent apoC-III-raising mechanisms, such as a reduced protein catabolic rate, also have to be activated in MS (8). In this context, it should be interesting to verify the role of other recently discovered TG-raising genetic variants on the same apoA3/A4/A5 genes cluster (2426). Similarly, we cannot exclude the possibility that the -455C mutation is in linkage disequilibrium with these new variants, resulting in being merely a marker for some of them. Our findings indicate, however, that the interaction between the insulin-resistant T-455C gene polymorphism and MS seems to play a synergic role in the expression of MS-associated lipid abnormality and in its impact on CAD risk.
In our study, MS patients affected or not by CAD differed exclusively in lipid metabolism parameters, i.e., total and LDL cholesterol, apoB, apoC-III, and apoE levels (Table 3), suggesting a primary role for lipid abnormalities in CAD risk associated with MS. Furthermore, no differences were observed in apoA-I and HDL cholesterol levels between the two groups. Increased apoB and cholesterol in circulating lipid particles is a well-known feature in CAD patients, but the notion of increased apoC-III and apoE levels in MS patients with CAD is not generally accepted. Sparse information concerning the different MS elements, such as obesity (7, 8, 27) or type II diabetes (28, 29), exist, generally confirming the relation between hypertriglyceridemia and increase of apoC-III and apoE, but there are no specific studies reporting on MS as a unique complex. To the best of our knowledge, there are no studies evaluating the CAD risk of MS patients in relation to the extent of apoC-III increase. Several reports have independently confirmed the role of apoC-III in increasing CAD risk without distinguishing between patients with or without MS (1217).
It is possible that more accurate information on CAD risk could be obtained by evaluation of non-HDL apoC-III fraction (17), and the lack of availability of these parameters for analysis in our study is certainly a limitation of the present work. However, in a subgroup of patients, total apoC-III concentration was much more strongly correlated with non-HDL fraction (R = 0.93) than with HDL apoC-III (R = 0.38), suggesting that the informative power of the total concentration of the apolipoprotein should be similar to that given by the fraction not associated with HDL.
In our population, MS was associated per se with an odds ratio for CAD of 3.39 (95% CI, 2.354.90). Consistent with our previous report (21), -455C homozygosity was also associated with CAD per se, regardless of coexisting MS (see Fig. 2, -455CC no MS group). The new and interesting finding was that a graded, strong interaction in determining CAD risk emerged when both MS and carriership of the -455C gene variant coexist in the same individual (Fig. 2, Table 5). This result is important for at least two reasons: i) it strongly supports the preeminent role of apoC-III-rich lipoproteins in increasing CAD risk in MS patients, because the mathematical relation (a factor 2) we observed between the graded ORs for CAD risk and -455C heterozygosity or homozygosity is difficult to explain without accepting the apoC-III-raising effect of the gene variant on an allelic basis; and ii) a strong interaction was also demonstrated in the cases of heterozygosis for the -455C allele, thus extending the potential impact of the gene variant in terms of general population risk. Because in the general population,
5070% of individuals are -455C carriers (3033), the risk deriving from the interaction of this polymorphism with acquired or life-style factors favoring the development of MS is potentially very relevant.
Among all factors, one of the most important is probably obesity (34) or, more generally, a condition of increased calorie availability derived from excess alimentary intake. Its role has been particularly stressed in the case of the association of hyperlipidemia with MS and insulin resistance, in which a liver abundance of free fatty acids flux stimulates the assembly and secretion of TG-rich lipoproteins (35). Recently, obese men with insulin resistance (mean BMI, 33.6 ± 4.1 kg/m2) were demonstrated to have higher plasma apoC-III and TG-rich lipoprotein levels and a lower estimated fractional catabolic rate of these particles (8). Both increased synthesis and reduced catabolic rate of apoC-III rich particles seem, therefore, to be involved in hyperlipidemia observed in MS patients, although the relative contribution of each mechanism remains to be specified. In the case of our MS patients, obese individuals (BMI
30 kg/m2) were significantly less numerous in -455C carriers than in noncarriers (21.6% vs. 34.8%), and carriers had significantly lower BMIs than did noncarriers. There was no apparent reason for this difference (particularly considering that it is the result of a post hoc analysis) unless a causal effect is attributed to -455C carriership. If a reduced catabolic rate of apoC-III-rich lipoproteins is the prevailing mechanism leading to hyperlipidemia in obesity (8), then obese individuals should be preferentially found in the group of -455C noncarriers rather than in the -455C carriers. Another reasonable interpretation is that in -455C carriers, a relatively smaller BMI increase and liver fatty acid flux are required to trigger the cascade of metabolic events peculiar to MS, i.e., an increased synthesis of TG and apoC-III. As a consequence, a generally lower threshold of risk for MS (and, in turn, for CAD) may be hypothesized for -455C carriers, with all the obvious results in terms of cardiovascular disease prevention.
| ACKNOWLEDGMENTS |
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Manuscript received June 11, 2003 and in revised form September 3, 2003.
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