Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: EC:3.4.15.1 (ACE)
 18,300 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Do extremely old persons have a genetically favourable profile which has protected them from cardiovascular death? We have tried to answer this question by measuring DNA polymorphisms of selected cardiovascular risk indicators [factor VII, FVII (R/Q353, intron 7 (37bp)n, and -323ins10), beta fibrinogen (-455G/A), plasminogen activator inhibitor type 1, PAI-1 (-675(4G/5G)), tissue plasminogen activator, t-PA (intron 8 ins311), platelet receptor glycoprotein IIb/IIIa, GPIIb/IIIa (L/P33), prothrombin (20210G/A), methylene tetrahydrofolate reductase, MTHFR (A/V114), angiotensin converting enzyme, ACE (intron 16 ins287), and angiotensinogen (M/T235)]. Blood was collected from 187 unselected Danish centenarians, and 201 healthy Danish blood donors, aged 20-64 years (mean age 42 years). Genomic DNA was amplified using PCR and the genotype was determined by RFLP methods or allele-specific amplification followed by agarose gel electrophoresis. The frequencies of the high-risk alleles in centenarians were: for FVII R/Q353 0.91; for FVII intron 7 (37bp)n 0.67; for FVII-323 ins10 0.90; for fibrinogen 0.16; for PAI-1 0.52; for t-PA 0.59; for GPIIb/IIIa 0.16; for prothrombin 0.008; for MTHFR 0.33; for ACE 0.52; and for angiotensinogen 0.36. Comparable frequencies were observed in the blood donors. Subgroup analysis of men and women separately gave similar results. The genotype frequencies in the centenarians and the blood donors were similar for all polymorphisms, and this study suggests that common variations in genes associated with cardiovascular risk do not contribute significantly to longevity.
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PMID:Longevity is independent of common variations in genes associated with cardiovascular risk. 1049 71

A multilocus assay was used to genotype up to 27 variable sites in 15 genes in French and Italian, presumed to be healthy populations (n=1480, n=162, respectively). These genes are involved in lipid metabolism (APOE, APOB, APOC3, CETP, LPL, PON), homocysteine metabolism (CBS, MTHFR), blood viscosity (Fibrinogen, FV), platelet aggregation (GpIIIa), leukocyte adhesion (SELE), and renin-angiotensin system (AT1R, ACE, AGT). Allele frequencies for all the markers were compared between the two populations. Five allele frequencies differed between the two European countries: APOB 71Ile (p < 0.001), SELE 98T (p < 0.001), SELE 128Arg (p < or = 0.01), APOE E4 (p < or = 0.01) and MTHFR 677T (p < or = 0.01), suggesting the existence of a north-south gradient in European allele frequencies. The other allele frequencies : APOC3 -482T, -455C, 1100T, 3175G, 3206G; LPL -93G, 9Asn, 291Ser; CETP 405Val; PON 192Arg; ACE Del; AGT 235Thr; AT1R 1166C; CBS 278Thr, GpIIIa P1A2; Fibrinogen -455A, FV 506Gln and SELE 554Phe, were similar between the two populations. They were also similar to those observed in other European countries.
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PMID:Candidate gene polymorphisms in cardiovascular disease: a comparative study of frequencies between a French and an Italian population. 1134 49

In this investigation associations of gene complexes consisting of seven candidate for coronary atherosclerosis (ACE, AGT, NOS3, APOA1, MTHFR, PLAT, F13) with risk factors for CAD (lipid levels, blood pressure, body mass index (BMI)) were studied in Russian population. 94 male patients with CAD proven by angiography and 131 healthy individuals were involved in the case-control study. We observed a significant contribution of gene combinations ("ensembles"). ACE-MTHFR, ACE-F13, ACE-AGT-MTHFR in the variability of the total cholesterol and LDL-cholesterol levels. The "Ensembles" ACE-AGT-MTHFR were associated with variability of three atherogenic risk factors (LDL, BMI, cholesterol total). Two-locus gametic disequilibrium was analysed between gene polymorphisms. NOS3 and ACE, NOS3 and APOA1 were in gametic disequilibrium in the control group. Polymorphic markers of ACE and F13, NOS3 and F13, ACE and PLAT loci were in gametic disequilibrium in the patients. Both approaches (association analysis and gametic disequilibrium) revealed the same gene combinations contributing to the CAD risk factors. NOS3 and APOA1 markers were in gametic disequilibrium in the patients and both of them were associated with LDL. F13 and AGT were associated with systolic and diastolic blood pressure and two-locus gametic disequilibrium between F13 and AGT polymorphisms observed in the patients.
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PMID:The estimation of gametic disequilibrium between DNA markers in candidate genes for coronary artery disease (CAD) and the associations of gene complexes with risk factors for CAD. 1150 73

The contribution of 17 polymorphisms within 13 candidate genes on lipid trait variability was investigated by a multiplex assay in 772 men and 780 women coming for a health checkup examination. The studied genes were APOE, APOB, APOC3, CETP, LPL, PON, MTHFR, FGB, GpIIIa, SELE, ACE, and AGT. We found that APOB-Thr71Ile, APOE-(112/158), APOC3-1100C/T, and SELE-98G/T polymorphisms had a significant effect on lipid traits (P < or = 0.001 to P < or = 0.01). Genetic effects accounted for 3.5-5.7% of variation in apolipoprotein B (apoB)-related traits among men, and for 5.7-9.0% among women. The contribution of APOE polymorphism on apoB-related traits variability was two to three times more important in women than in men. We found suggestive evidence for interactive effects between genetics and age, smoking status, and oral contraceptives. Increase of LDL-cholesterol and apoB concentrations with age was stronger among the epsilon4 carriers in women, and apolipoprotein A-I (apoA-I) concentration decreased with age in epsilon4 male carriers. The effect of epsilon2 allele on LDL-cholesterol was more important in the oral contraceptive users. In nonsmokers only, the APOC3-1100C allele in women was related to lower apoB-related traits concentrations, and in men to higher apoA-I and HDL-cholesterol concentrations. In conclusion, this work, in addition to the reinforcement of the already known associations between APOB, APOE, and APOC3 genes and lipids, leads to new perspectives in the complex relationships among genes and environmental factors. The newly observed relationships between E-selectine gene and lipid concentrations support the hypotheses of multiple metabolic pathways contributing to the complexity of lipids variability.
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PMID:Genetic influences on lipid metabolism trait variability within the Stanislas Cohort. 1171 57

The following seven polymorphic marker loci of genes responsible for predisposition to coronary atherosclerosis (CAS) were studied: the ACE locus responsible for angiotensin-converting enzyme insertion/deletion polymorphism for the presence or absence of the Alu insertion in the gene; the F13, PLAT, and APOA1 loci, controlling the clotting factor 13, plasminogen-activating tissue factor, and apolipoprotein A, respectively; the MTHFR and AGT polymorphic loci responsible for point mutations in methylenetetrahydrofolate reductase and those in angiotensinogen, respectively, and the NOS3 locus controlling the number of tandem repeats in the nitric oxide synthase gene. These loci are located on different chromosomes and encode products involved into various metabolic pathways leading to CAS. In the populations studied, significant differences between healthy subjects and patients predisposed to cardiovascular diseases were revealed with regard to the above seven markers. The 174M allele (T174M polymorphism in the ACE gene) was significantly associated with coronary atherosclerosis. It was found that specific gene combinations are involved in the CAS development and determine variation in the pathogenetically important quantitative traits.
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PMID:[Analysis of gene complexes predisposing to coronary atherosclerosis]. 1196 67

Alzheimer's disease (AD) is a complex disorder associated with multiple genetic defects either mutational or of susceptibility. Information available on AD genetics does not explain in full the etiopathogenesis of AD, suggesting that environmental factors and/or epigenetic phenomena may also contribute to AD pathology and phenotypic expression of dementia. The genomics of AD is still in its infancy, but is helping to understand novel aspects of the disease including genetic epidemiology, multifactorial risk factors, pathogenic mechanisms associated with genetic networks and genetically-regulated metabolic cascades. AD genomics is also helping to develop new strategies in pharmacogenomic research and prevention. Functional genomics, proteomics, pharmacogenomics, high-throughput methods, combinatorial chemistry and modern bioinformatics will greatly contribute to accelerate drug development for AD and other complex disorders. Main genes involved in AD include mutational loci (APP, PS1, PS2, TAU) and multiple susceptibility loci (APOE, A2M, AACT, LRP1, IL1A, TNF, ACE, BACE, BCHE, CST3, MTHFR, GSK3B, NOS) distributed across the human genome. Genomic associations integrate bigenic, trigenic, tetragenic or polygenic matrix models to investigate the genomic organization of AD in comparison to the control population. Similar genetic models are used in pharmacogenomics to elucidate genotype-specific responses of AD patients to a particular drug or combination of drugs. Using APOE-related monogenic models it has been demonstrated that the therapeutic response to drugs in AD is genotype-specific. A multifactorial therapy combining 3 different drugs yielded positive results during the 6-12 months in approximately 60% of the patients. With this therapeutic strategy, APOE-4/4 carriers were the worst responders, and patients with the APOE-3/4 genotype were the best responders. In bigenic and trigenic models it was possible to differentiate the influencial effect of PS1 and PS2 polymorphic variants on mental performance in response to multifactorial therapy. The application of functional genomics to AD can be a suitable strategy for harmonization in molecular diagnosis and drug clinical trials. Furthermore, the pharmacogenomics of AD may contribute in the future to optimise drug development and therapeutics, increasing efficacy and safety, and reducing side-effects and unnecessary costs.
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PMID:Pharmacogenomics in Alzheimer's disease. 1236 58

Alzheimer's disease (AD) is a genetically complex disorder associated with multiple genetic defects either mutational or of susceptibility. Current AD genetics does not explain in full the etiopathogenesis of AD, suggesting that environmental factors and/or epigenetic phenomena may also contribute to AD pathology and phenotypic expression of dementia. The genomics of AD is still in its infancy, but is helping us to understand novel aspects of the disease including genetic epidemiology, multifactorial risk factors, pathogenic mechanisms associated with genetic networks and genetically-regulated metabolic cascades. AD genomics is also fostering new strategies in pharmacogenomic research and prevention. Functional genomics, proteomics, pharmacogenomics, high-throughput methods, combinatorial chemistry and modern bioinformatics will greatly contribute to accelerating drug development for AD and other complex disorders. The multifactorial genetic dysfunction in AD includes mutational loci (APP, PS1, PS2) and diverse susceptibility loci (APOE, A2M, AACT, LRP1, IL1A, TNF, ACE, BACE, BCHE, CST3, MTHFR, GSK3B, NOS3) distributed across the human genome, probably converging in common pathogenic mechanisms that lead to premature neuronal death. Genomic associations integrate polygenic matrix models to elucidate the genomic organization of AD in comparison to the control population. Using APOE-related monogenic models it has been demonstrated that the therapeutic response to drugs (e.g., cholinesterase inhibitors, non-cholinergic compounds) in AD is genotype-specific. A multifactorial therapy combining three different drugs yielded positive results during 6-12 months in approximately 60% of the patients. With this therapeutic strategy, APOE-4/4 carriers were the worst responders and patients with the APOE-3/4 genotype were the best responders. Other polymorphic variants (PS1, PS2) also influence the therapeutic response to different drugs in AD patients, suggesting that the final pharmacological outcome is the result of multiple genomic interactions, including AD-related genes and genes associated with drug metabolism, disposition, and elimination. The pharmacogenomics of AD may contribute in the future to optimise drug development and therapeutics, increasing efficacy and safety, and reducing side-effects and unnecessary costs.
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PMID:Pharmacogenomics for the treatment of dementia. 1245 80

During the last years several genetic markers have appeared which were extensively studied for their clinical consequences and impact. Therefore, we developed 14 new genetic tests using the TaqMan technology. The new test systems detect the alpha1-antitrypsin, ACE, apolipoprotein B-100, apolipoprotein E, factor V Leiden, prothrombin, HFE, MTHFR, COL1A1, VDR and HLA-B27 mutations. These new kits were compared to the established endonuclease restriction digestion and flow cytometry, respectively. The results showed, that the allelic discrimination assays (TaqMan method) were in 100% concordance with the formerly used digestion method. Flow cytometry revealed a lower specificity in contrast to the TaqMan PCR system. Thus, it could be demonstrated that the new TaqMan assays are robust, rapid and automated methods for high throughput applications which avoid time consuming (and therefore expensive) and difficult post-PCR steps.
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PMID:A highly reproducible and economically competitive SNP analysis of several well characterized human mutations. 1520 39

Migraine, with and without aura (MA and MO), is a prevalent and complex neurovascular disorder that is likely to be influenced by multiple genes some of which may be capable of causing vascular changes leading to disease onset. This study was conducted to determine whether the ACE I/D gene variant is involved in migraine risk and whether this variant might act in combination with the previously implicated MTHFR C677T genetic variant in 270 migraine cases and 270 matched controls. Statistical analysis of the ACE I/D variant indicated no significant difference in allele or genotype frequencies (P > 0.05). However, grouping of genotypes showed a modest, yet significant, over-representation of the DD/ID genotype in the migraine group (88%) compared to controls (81%) (OR of 1.64, 95% CI: 1.00-2.69, P = 0.048). Multivariate analysis, including genotype data for the MTHFR C677T, provided evidence that the MTHFR (TT) and ACE (ID/DD) genotypes act in combination to increase migraine susceptibility (OR = 2.18, 95% CI: 1.15-4.16, P = 0.018). This effect was greatest for the MA subtype where the genotype combination corresponded to an OR of 2.89 (95% CI:1.47-5.72, P = 0.002). In Caucasians, the ACE D allele confers a weak independent risk to migraine susceptibility and also appears to act in combination with the C677T variant in the MTHFR gene to confer a stronger influence on the disease.
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PMID:Genetic variants of angiotensin converting enzyme and methylenetetrahydrofolate reductase may act in combination to increase migraine susceptibility. 1589 94

Our recent study indicated that MTHFR C677T polymorphism may involve in genetic control of blood pressure response to treatment by benazepril, an ACE inhibitor. Currently, we proposed to further investigate whether short-term blood pressure response to benazepril, was modulated by haplotypes re-constructed from both C677T and A1298C polymorphisms in MTHFR gene. A total of 410 hypertensive patients recruited from 344 nuclear families were treated orally with benazepril at a daily dosage of 10 mg for 15 consecutive days. Blood pressures were measured at baseline and on the 16th day of treatment. In addition, 689 family members of these patients were also genotyped. Among these patients, the frequency of MTHFR A1298C AA, AC and CC genotypes was 74.4%, 23.9%, and 1.7%, respectively. The frequency of MTHFR C677T CC, CT and TT genotypes was 23.7%, 51.2%, and 25.1%, respectively. Only three haplotypes, 677T-1298A (50.8%), 677C-1298A (35.7%), and 677C-1298C (13.5%) were re-constructed. Multivariate regression models with generalized estimating equation (GEE) correction detected that the individuals carrying one copy of haplotype 677C-1298C had significantly lower diastolic and systolic blood pressure response (DeltaDBP and DeltaSBP) to benazepril treatment (p= 0.003 and p =0.043, respectively), in comparison to those without haplotype 677C-1298C. The results of family-based association test further confirmed that haplotype 677C-1298C was more frequently transmitted in subjects with either lower residual of DeltaDBP or DeltaSBP. For residual of DeltaDBP, the p-values are 0.007 in an additive model and 0.005 in a dominant model. For residual of DeltaSBP, the p-values are 0.009 in an additive model and 0.006 in a dominant model. Our findings suggest that MTHFR 677C-1298C haplotype modulate blood pressure responsiveness to shortterm treatment of ACE inhibitor in Chinese essential hypertensive patients.
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PMID:A common haplotype on methylenetetrahydrofolate reductase gene modifies the effect of angiotensin-converting enzyme inhibitor on blood pressure in essential hypertension patients--a family-based association study. 1608 43


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