Five-year alterations in BMI are associated with clustering of changes in cardiovascular risk factors in a gender-dependant way: the Stanislas study.

OBJECTIVE: The purpose of the present longitudinal study was to describe the associations between the 5-year changes in body mass index (BMI) and alterations in the clusters of metabolic syndrome (MS)-related factors. METHODS: The study population comprised 1099 middle-aged adults drawn from the Stanislas study. Individuals were stratified into four groups according to the 5-year changes in BMI (weight loss (<0 kg/m(2)), and weight gain (0-1, 1-2 and >2 kg/m(2))). Changes in various MS-related variables and clusters were compared between groups: anthropometric indices, blood pressure, lipid and inflammatory markers, liver enzymes, uric acid and the five summary factors extracted by using factor analysis ('risk lipids', 'liver enzymes', 'inflammation', 'protective lipids' and 'blood pressure'). RESULTS: There was a strong linear trend between increasing BMI and worsening of risk lipids and blood pressure factors for both men and women (P

Genetic Polymorphism of CYP2C19 gene in the Stanislas cohort. A link with inflammation.

CYP2C19, a member of the cytochrome P450 family, metabolises arachidonic acid to produce epoxyeicosanoid acids, which are involved in vascular tone and inflammation. Thus, this study describes the possible relationship between a CYP2C19 polymorphism (681G>A) and three inflammatory markers: interleukin (IL)-6, tumor necrosis factor-alpha (TNF-alpha) and high sensitivity C-reactive protein (hs-CRP) in healthy individuals. In a sub-sample of 178 men and 181 women from the Stanislas study, we quantified plasma IL-6 and TNF-alpha concentrations by using an enzyme-linked immunosorbent assay, and serum hs-CRP concentration by immunonephelometry. The CYP2C19 681G>A polymorphism was genotyped using the kinetic thermocycling allele specific PCR method. In the Stanislas cohort, the frequency of the allele CYP2C19*2 (681A) was 17.8%. Circulating levels of inflammatory factors were increased in individuals homozygous for the defective allele CYP2C19*2 (A) notably IL-6 in the whole sample (P= 0.0008) and hs-CRP only in women (P= 0.008), with a significant interaction with sex (P= 0.005), in comparison to carriers of one copy or more of the wild type allele CYP2C19*1 (G). Only a trend of association (P= 0.089) was found between this polymorphism and TNF-alpha concentration in the whole sample. The association between CYP2C19*2 polymorphism and inflammatory markers' concentrations could suggest that CYP2C19 may be considered as a new candidate gene for cardiovascular risks via inflammation.

[Pharmacogenomics and pharmacoproteomics: a strategy for cardio-vascular drugs]. / Pharmacogénomique et pharmacoprotéomique.

The development of personalized medicine will require improved knowledge of biological variability, particularly concerning the important impact of each individual's genetic makeup. A five-step strategy can be followed when trying to identify genes and gene products involved in differential responses to cardiovascular drugs: 1) Pharmacokinetic-related genes and phenotypes; (2) Pharmacodynamic targets, genes and products; (3) Cardiovascular diseases and risks depending on specific or large metabolic cycles; (4) Physiological variations of previously identified genes and proteins; (5) Environmental influences on them. After summarizing the most well known genes involved in drug metabolism, we used statins as an example. In addition to their economic impact, statins are generally considered to be of significant importance in terms of public health. Individuals respond differently to these drugs depending on multiple polymorphisms. Applying a pharmacoproteomic strategy, it is important to use available information on peptides, proteins and metabolites, generally gene products, in each of the five steps. A profiling approach dealing with genomics as well as proteomics is useful. In conclusion, the ever growing volume of available data will require an organized interpretation of variations in DNA and mRNA as well as proteins, both on the individual and population level.

Heritability of serum hs-CRP concentration and 5-year changes in the Stanislas family study: association with apolipoprotein E alleles.

We aimed at estimating additive genetic heritability, household component effect and the influence of common alleles of the apolipoprotein E gene (APOE) on serum high-sensitivity C-reactive protein (hs-CRP) concentrations and the subsequent changes over 5 years. A sub-sample of 320 nuclear families was randomly selected from the Stanislas Family Study. Serum hs-CRP concentration was measured by immunonephelometry at entrance and after 5 years. APOE alleles were determined by restriction fragment length polymorphism. After adjustment for covariates, the number of the epsilon4 allele was negatively associated with serum concentration of hs-CRP in the whole sample, at entrance and 5 years later, without significant interaction with sex by generation groups (P=0.003 and P=0.0003, respectively). However, no significant association was found between epsilon4 allele and 5-year changes in hs-CRP concentration. Using a variance component analysis, no significant genetic influence was shown in family aggregation of both hs-CRP measurements and 5-year changes; the household common component was between 6.5 and 12.8%. In addition, after adjustment for APOE gene polymorphisms, degrees of resemblance were almost unchanged. In the Stanislas Family Study, epsilon4 allele of the APOE gene was associated with lower hs-CRP concentration, but not with 5-year changes. However, variance component analysis did not evidence a significant polygenic effect.

Pharmacogenomics and drug response in cardiovascular disorders.

There are a total of 17 families of drugs that are used for treating the heterogeneous group of cardiovascular diseases. We propose a comprehensive pharmacogenomic approach in the field of cardiovascular therapy that considers the five following sources of variability: the genetics of pharmacokinetics, the genetics of pharmacodynamics (drug targets), genetics linked to a defined pathology and its corresponding drug therapies, the genetics of physiologic regulation, and environmental-genetic interactions. Examples of the genetics of pharmacokinetics are presented for phase I (cytochromes P450) and phase II (conjugating enzymes) drug-metabolizing enzymes and for phase III drug transporters. The example used to explain the genetics of pharmacodynamics is glycoprotein IIIa and the response to antiplatelet effects of aspirin. Genetics linked to a defined pathology and its corresponding drug therapies is exemplified by ADRB1, ACE, CETP and APOE and drug response in metabolic syndrome. The examples of cytochrome P450s, APOE and ADRB2 in relation to ethnicity, age and gender are presented to describe genetics of physiologic regulation. Finally, environmental-genetic interactions are exemplified by CYP7A1 and the effects of diet on plasma lipid levels, and by APOE and the effects of smoking in cardiovascular disease. We illustrate this five-tiered approach using examples of cardiovascular drugs in relation to genetic polymorphism.