Gene/Protein Disease Symptom Drug Enzyme Compound
Pivot Concepts: Gene/Protein Disease Symptom Drug Enzyme Compound   Target Concepts: 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)

We have investigated the frequencies of seven markers among 100 unrelated individuals with angiographically documented CAD (Coronary Artery Disease) and among 100 unrelated healthy blood donors in the central region of Corsica island (France). The seven polymorphisms analyzed were chosen from six candidate genes involved in (1) Renin-Angiotensin system: Angiotensin converting enzyme (ACE I/D), (2) Lipid metabolism: Cholesterol Ester Transfer Protein gene (CETP TAQ1B), (3) Platelet aggregation: alpha and beta subunits of the platelet GpIIb/GpIIIa integrin complex (GpIIb HPA3 and GpIIIa Pl(A1/A2)), (4) Coagulation fibrinolysis: Plasminogen Activator Tissue (PLAT TPA25 I/D) and Methylenetetrahydrofolate Reductase (MTHFR C677T and A1298C). The samples were genotyped using the polymerase chain reaction followed by restriction enzyme analysis for the RFLPs. No significant difference in allele frequencies between patient and control groups was observed. The occurrence of the MTHFR T677T genotype and of the T677T/A1298A compound genotype is higher in cases (20%) than in the controls (4%). Odds ratio seems to indicate that individuals with the MTHFR T677T genotype and the T677T/A1298A compound genotype had a 6-fold increased risk for developing CAD (ORs = 6; 95% CIs = 1.96-18.28) suggesting a possible association of MTHFR C677T with the risk of CAD in Corsican population.
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PMID:Prevalence of genetic risk factors for coronary artery disease in Corsica island (France). 1624 96

Hypertension in pregnancy (HP), one of the most common causes of perinatal deaths, is a multifactorial disease with genetic and environmental factors involved in its etiology. We have carried out molecular epidemiologic research with the purpose of (1) identifying gene variants associated with HP in Japanese women, and (2) analyzing the genetic and environmental factors involved in the pathophysiology of the disease. Self-administered questionnaires were returned by the subjects between 1 and 6 months after delivery. The candidate genetic variants were identified by use of a PCR-RFLP method. T235 of AGT, C1166 of AT1 and Asp298 of NOS3 were respectively associated with HP, although no significant associations were found between the common genetic variants and HP in ACE, FV, MTHFR, B3AR, TNF-A, PAI-1, GSTP1, mEH, and LPL. In analyses using genetic, environmental and lifestyle factors, 5 factors before pregnancy and 4 factors during pregnancy were significantly associated with HP in univariate analysis. Further multivariate analysis revealed 3 factors before pregnancy, i.e. "prepregnancy BMI > or = 24 kg/m(2)", "family history of hypertension" and "TT genotype of AGT", and 2 factors during pregnancy, i.e. "mentally stressful condition" and "salty dishes preferred". Dividing the subjects into 2 subgroups according to whether they possessed "TT genotype of AGT" or not, we identified acquired risk factors before and during pregnancy for HP in each groups. The multivariate analysis identified "mentally stressful condition" as a potent significant risk factor during pregnancy in the former subgroup. However, there were no significant risk factors concerning and "mental stress" in the latter subgroup. Through further exploration of the risk factors associated with HP, we hope to provide useful suggestions about the development of new and effective preventive measures for a range of multifactorial diseases.
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PMID:Genetic and environmental factors associated with the development of hypertension in pregnancy. 1636 2

Alzheimer's disease is a genetically complex disorder associated with multiple genetic defects, either mutational or of susceptibility. Although potentially associated with an accelerated stochastically driven aging process, Alzheimer's disease is an independent clinical entity in which the aging process exerts a deleterious effect on brain activity in conjunction with polymodal genetic factors and other pathological conditions (i.e., age-related cerebrovascular deterioration) and environmental factors (i.e., nutrition). Alzheimer's disease genetics does not explain in full the etiopathogenesis of this disease. Therefore, it is likely that environmental factors and/or epigenetic phenomena also contribute to Alzheimer's disease pathology and phenotypic expression of dementia. The genomics of Alzheimer's disease is still in its infancy, but this field is aiding the understanding of novel aspects of this disease, including genetic epidemiology, multifactorial risk factors, pathogenic mechanisms associated with genetic networks and genetically regulated metabolic cascades. Alzheimer's disease 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 Alzheimer's disease and other complex disorders. The multifactorial genetic dysfunction in dementia includes mutational loci (APP, PS1, PS2, TAU) and diverse susceptibility loci (APOE, alpha2M, alphaACT, LRP1, IL1 alpha, TNF, ACE, BACE, BCHE, CST3, MTHFR, GSK3 beta, NOS3 and many other genes) distributed across the human genome, probably converging in a common pathogenic mechanism that leads to premature neuronal death, in which mitochondrial DNA mutations may contribute to increased genetic variability and heterogeneity. In Alzheimer's disease, multiple pathogenic events, including genetic factors, accumulation of aberrant or misfolded proteins, protofibril formation, ubiquitin-proteasome system dysfunction, excitotoxic reactions, oxidative and nitrosative stress, mitochondrial injury, synaptic failure, altered metal homeostasis, dysfunction of axonal and dendritic transport, and chaperone misoperation may converge in pathogenic pathways leading to premature death and neurodegeneration. Some of these mechanisms are common to several neurodegenerative disorders, which differ depending upon the gene(s) affected and the involvement of specific genetic networks, together with epigenetic factors and environmental events. Many genes potentially associated with Alzheimer's disease in some studies cannot be confirmed as candidate genes in replication studies, indicating that methodological problems and genomic complexity are leading to erroneous conclusions. A different approach to Alzheimer's disease functional genomics is to integrate individual genetic information in polygenic genotypes (haplotype-like model) and to investigate genotype-phenotype correlations and genotype-related pharmacogenomic behaviors. The application of functional genomics to Alzheimer's disease can be a suitable strategy for molecular diagnosis and for understanding pathophysiological mechanisms associated with Alzheimer's disease-related neurodegeneration. Furthermore, the pharmacogenomics of Alzheimer's disease may contribute in the future to optimize drug development and therapeutics, increasing efficacy and safety, and reducing side-effects and unnecessary costs.
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PMID:Molecular genetics of Alzheimer's disease and aging. 1647 Feb 48

Acute thrombotic complications remain a constant, proportionally increasing complication before and after renal transplantation. We sought to investigate predictors for a prothrombotic state that increased the risk of vascular access thrombosis, among chronic renal failure patients during the waiting period prior to cadaveric renal transplantation. Chronic renal failure patients awaiting cadaveric renal transplantation and followed between January 2002 and January 2005 were included in this study. The 109 subjects including, 61 females and 48 males of mean age: 47.4 +/- 12.9 years; There were 36 continuous ambulatory peritoneal dialysis and 73 hemodialysis patients. Serum albumin, prealbumin, CRP, d-dimer, fibrinogen, antithrombin III, anticardiolipin antibodies (immunoglobulins G and M), homocystein, vitamin B12, folic acid, total cholesterol, triglyceride, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, and total platelet count were measured in each patient. Factor V Leiden, prothrombin 20210, ACE and MTHFR gene mutations were studied in all patients. Vascular Access thrombosis was detected in 62 patients. During follow-up 31 of 109 patients died. Vascular access thrombosis occurred in 78 patients who survived and 31 who died. The patients who died showed a significantly higher rate of thrombosis than those who survived (P = .003, OR: 4.61, CI: 1.70 to 12.50). Among the above biochemical risk factors, multiple regression analysis and backward logistic analysis revealed that d-dimer was the strongest biochemical predictor of thrombosis (P = .013, RR: 17.8). Upon evaluation of genetic risk factors, only factor V Leiden mutation was related to vascular access thrombosis (P = .001). In conclusion, the presence of vascular access thrombosis is a risk factor for mortality during the waiting period for cadaveric renal transplantation. As patients with factor V Leiden mutation or high serum d-dimer levels are at high risk for vascular access thrombosis, we recommend close monitorizing of these patients and use of anticoagulant therapy during the waiting period prior to renal transplantation.
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PMID:Predictors of vascular access thrombosis among patients on the cadaveric renal transplantation waiting list. 1654 34

Collection and analysis of DNA, most commonly from blood or buccal cells, is becoming more common in epidemiologic studies. Buccal samples, which are painless to take and relatively easily collected, are often the preferred source. There are several buccal cell collection methods: swabs, brushes, mouthwash, and treated cards, such as FTA or IsoCode cards. Few studies have systematically compared methods of buccal cell collection with respect to DNA yield and amplification success under similar conditions. We compared buccal DNA collection and amplification using buccal swabs and FTA cards in 122 control subjects from our Australian case-control study of childhood acute lymphoblastic leukaemia. Buccal DNA was quantified using a real-time PCR for beta-actin and genotyped at the loci of three polymorphisms (MTHFR 677C>T, ACE I/D, and XPD 1012G>A). PCR was successful with DNA from buccal swabs for 62% to 89% of subjects and from FTA cards for 83% to 100% of subjects, depending on the locus. The matched pair odds ratios (95% confidence interval) comparing success of FTA cards with buccal swabs are as follows: MTHFR 677C>T using PCR-RFLP, 12.5 (11.6-13.5) and using real-time PCR, 130.0 (113.1-152.8); ACE I/D using PCR-amplified fragment length polymorphism, 3.36 (3.2-3.5); XPD 1012G>A using real-time PCR, 150.0 (132.7-172.3). FTA cards are a robust DNA collection method and generally produce DNA suitable for PCR more reliably than buccal swabs. There are, however, technical challenges in handling discs punched from FTA cards that intending users should be aware of.
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PMID:Buccal DNA collection: comparison of buccal swabs with FTA cards. 1661 29

The authors hypothesized that genetic predisposition to diabetes complications would be more evident among low-risk individuals and aimed to identify genes related to developing complications (confirmed distal symmetric polyneuropathy, overt nephropathy, or coronary artery disease) in low-risk groups. Participants in the Pittsburgh, Pennsylvania, Epidemiology of Diabetes Complications Study of childhood-onset type 1 diabetes, first seen in 1986-1988 (mean age, 28 years; diabetes duration, 19 years), were reexamined biennially for 10 years. For each complication, subgroups with the lowest disease risk were identified by using tree-structured survival analysis, and 15 candidate genes were compared between subjects with and without complications. In the group with the lowest incidence of confirmed distal symmetric polyneuropathy (n = 123), confirmed distal symmetric polyneuropathy risk increased fivefold for those with the eNOS GG genotype (p < 0.05). In the group with the lowest risk of overt nephropathy (n = 340), the ACE D polymorphism increased overt nephropathy risk twofold (p = 0.05), whereas a protective effect was observed for the LIPC CC genotype (p < 0.05). In the group with the lowest incidence of coronary artery disease (n = 331), the MTHFR CC genotype increased coronary artery disease risk threefold (p < 0.05). Tree-structured survival analysis may help identify genetic predispositions among individuals who, despite low risk, develop diabetes-related complications.
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PMID:Identifying genetic susceptibilities to diabetes-related complications among individuals at low risk of complications: An application of tree-structured survival analysis. 1692 30

The aim of this study was to determine the frequencies of ACE (I/D), AGT (M235T), AT1R (A1166C) and MTHFR (C677T) polymorphisms in a well-defined (in regards to health and nutritional status and lifestyle) population of young, healthy, exercise-trained subjects (no. 100) from the Campania region of Southern Italy. We also investigated whether there was any correlation between these polymorphisms and biochemical, hematological and hemostatic parameters in this "low-risk" population. Gene polymorphisms were analyzed with the polymerase chain reaction and restriction enzyme analysis. Allele frequencies of the genotypes examined were in Hardy-Weinberg equilibrium and agree with those reported in the Italian population. No associations were found between ACE, AGT, AT1R gene polymorphisms and anthropometric, clinical and laboratory parameters. However, the MTHFR (C677T) polymorphism was significantly associated with lower hemoglobin plasma levels in TT vs. CC + CT females (p < 0.016). This report is the first to describe the frequencies of RAS and MTHFR gene polymorphisms in young, exercise-trained volunteers from Campania and to identify an association between the MTHFR gene polymorphisms and lower hemoglobin plasma levels in young healthy females.
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PMID:RAS and MTHFR gene polymorphisms in a healthy exercise-trained population: association with the MTHFR (TT) genotype and a lower hemoglobin level. 1702 48

Stroke constitutes a major global challenge for health policy and healthcare economics. Reducing stroke burden requires extensive knowledge of risk factors and, if applicable, preventive control. Risk factors may be categorized in non-modifiable biological factors, such as age, gender, race/ethnicity; proatherosclerotic/prothrombotic factors (hypertension, diabetes, dyslipidaemia, other serologic and haemostasis factors); cardiac comorbidity (CAD, CHF, atrial fibrillation); lifestyle factors, which play an increasing role, e.g. smoking, physical inactivity, alcohol consumption. These traditional risk factors are extended by rapidly growing efforts in elucidating genetic backgrounds for stroke. Genetic polymorphisms of functionally or pathophysiologically important proteins are investigated in the setting of case-control-studies for their role as candidate genes. Meta-analyses have corroborated the association of the factor V-Leiden arg506gln, MTHFR-C677T, and ACE-insertion-deletion polymorphisms with stroke. Current population-based, genome-wide linkage analyses face high expectations for identifying new genetic risk factors.
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PMID:[Stroke: epidemiology, risk factors, and genetics]. 1714 42

The past decade has witnessed hundreds of reports declaring or refuting genetic association with putative Alzheimer disease susceptibility genes. This wealth of information has become increasingly difficult to follow, much less interpret. We have created a publicly available, continuously updated database that comprehensively catalogs all genetic association studies in the field of Alzheimer disease (http://www.alzgene.org). We performed systematic meta-analyses for each polymorphism with available genotype data in at least three case-control samples. In addition to identifying the epsilon4 allele of APOE and related effects, we pinpointed over a dozen potential Alzheimer disease susceptibility genes (ACE, CHRNB2, CST3, ESR1, GAPDHS, IDE, MTHFR, NCSTN, PRNP, PSEN1, TF, TFAM and TNF) with statistically significant allelic summary odds ratios (ranging from 1.11-1.38 for risk alleles and 0.92-0.67 for protective alleles). Our database provides a powerful tool for deciphering the genetics of Alzheimer disease, and it serves as a potential model for tracking the most viable gene candidates in other genetically complex diseases.
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PMID:Systematic meta-analyses of Alzheimer disease genetic association studies: the AlzGene database. 1719 85

Although the risk for coronary heart disease (CHD) associated with single SNPs is modest it has been suggested that, in combination, several common risk-associated alleles could lead to a substantially better heart disease risk prediction. We have modelled this using 10 SNPs in ten candidate genes (APOB, NOS3, APOE, ACE, SERPINE1, MTHFR, ITGA2B, PON 1, LPL, and CETP) and their predicted summary risk estimates from meta-analysis. Based on published allele frequencies, approximately 29% of the general population would be expected to carry less than three risk alleles, approximately 55% would carry 3 or 4 risk alleles, 4% would have 6 and 1% 7 or more risk alleles. Compared to the mean of those with 3 or 4 risk associated genotypes, those with 6 and 7-or-more alleles have a significantly higher risk odds ratio (OR) of CHD (mean OR (95% Confidence Intervals), 1.70 (1.14 to 2.55); and 4.51 (2.89 to 7.04) respectively), while compared to those in the lowest decile of risk, those in the highest decile have a CHD odds ratio in the range of 3.05 (2.24 to 4.14). Taking into account age and the risk alleles carried, the mean 10 year probability for developing CHD for a 55 year old man was calculated to be 15% (8.6% to 24.8%), with nearly 1 in 5 having more than 20% risk. Whether this particular group of 10 SNPs will improve the accuracy of CHD predictions over the combination of classical risk factors in clinical use requires further experimental evidence.
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PMID:The use of meta-analysis risk estimates for candidate genes in combination to predict coronary heart disease risk. 1740 27


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