Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: EC:2.6.1.44 (AGT)
 770 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

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

Single-gene disorders explain only a minority of stroke cases. Stroke represents a complex trait, which is usually assumed to be polygenic. On this topic, the role of a wide number of candidate genes has been investigated in stroke through association studies, with controversial results. Therefore, it is difficult for the clinician to establish the validity and the level of clinical applicability of the previously reported associations between genetic factors and stroke. This review is an update and an extensive analysis of the more recent association studies conducted in stroke. We evaluated a number of studies on several candidate genes (including F5, F2, FGA/FGB/FGG, F7, F13A1, vWF, F12, SERPINE1, ITGB3/PLA1/PLA2/ITGA2B, ITGA2, GP1BA, ACE, AGT, NOS3, APOE, LPL, PON1, PDE4D, ALOX5AP, MTHFR, MTR, and CBS), providing a final panel of genes and molecular variants. We categorized this panel in relation to the degree of association with stroke, supported by the results of meta-analyses and case-control studies. Our findings could represent a useful tool to address further molecular investigations and to realize more detailed meta-analyses.
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PMID:Genetic polymorphisms for the study of multifactorial stroke. 1842 1

In an electronic search of the literature, the authors systematically retrieved all published studies that investigated genetic susceptibility to peripheral arterial disease (PAD). They created a comprehensive database of all eligible studies, collecting detailed genetic and bioinformatics data on each polymorphism. Data from eligible studies were synthesized using meta-analysis techniques. Gene variants were classified into distinct pathophysiologic pathways, and their potential involvement in PAD pathogenesis was determined. Forty-one publications that examined 44 gene polymorphisms were included. For 37 polymorphisms, the variant form had a functional effect. Twenty-three polymorphisms in 22 potential PAD candidate genes (F2, FGB, MTHFR, ITGB3, ACE, AGT, IL6, CCL2, ICAM1, SELE, MMP9, PPARG, MMP1, ADD1, P2RY12, LIPC, PLA2G7, SCARB1, MMP3, MTTP, LPA, CHRNA3) showed a significant association in individual studies. Eighty-eight percent of the studies had statistical power of less than 50%, and in 15 studies the genotype distribution in the control group did not conform to Hardy-Weinberg equilibrium. Data on 12 polymorphisms (F5 1691 G/A, MTHFR 677C/T, F2 20210 G/A, ITGB3 1565 T/C, ACE I/D, AGT 704C/T, AGT -6G/A, AGT 733C/T, IL6 -174 G/C, MMP9 -1562C/T, ICAM1 1462A/G, CHRNA3 831C/T) were synthesized, and a positive association was found for 3 (IL6 -174 G/C, ICAM1 1462A/G, CHRNA3 831C/T).
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PMID:A field synopsis and meta-analysis of genetic association studies in peripheral arterial disease: The CUMAGAS-PAD database. 1943 65

The analysis of alleles and genotypes frequencies of 14 SNP in genes of rennin-angiotensin system (REN, AGT, AGTR1, AGTR2, BKR2, ADRB2) and hemostasis system (FGB, F2, F5, F7, ITGB3, SERPINE1, MTHFR), as well as ACE insertion-deletion polymorphism in patients with stroke comparing to healthy controls matched by age, sex and ethnicity has been carried out. The genotyping procedure included the amplification of selected gene sequences following by hybridization of fluorescently labeled fragments with SNP-specific DNA probes. The analysis of allele frequencies of each gene separately revealed no statistically significant differences between groups of patients with stroke and healthy donors. Also the complex study has been performed to estimate the contribution of rennin-angiotensin system and hemostasis system genes to the genetic susceptibility to ischemic stroke among Russians from Central Russia using method MDR (Multifactor Dimensionality Reduction). The combination with increased risk for development of ischemic stroke was presented by complex genotype FGB G/- x ACE I/- x MTHFR C/- x SERPINE1 5G/5G (p = 0.03, OR = 2.4, 95% CI 1.1-5.3), which frequency was statistically significant higher in patients with stroke compared to healthy control.
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PMID:[Association study of renin-angiotensin system genes and hemostasis system genes with ischemic stroke among Russians of Central Russia]. 2267 May 17

The aim of the study was to describe the relationship of clinical outcome after percutaneous coronary intervention (PCI) with stenting and genetic polymorphisms (GP) which are known to relate to the incidence of in-stent restenosis and late thrombotic complications. The study included 190 patients with standardized clinical follow-up over 5 years, which were initially treated with PCI. We investigated clinical data, angiographic characteristics, 10 polymorphisms involved in neointimal hyperplasia and late thrombosis at 6 different levels and their relationship with the major adverse cardiac events (MACE). The long-term clinical outcome was defined by MACE: death, target vessel revascularization (PCI or coronary bypass grafting, CABG) and myocardial infarction. Angiotensin receptor type I (AGTR A1166C) and angiotensinogen (AGT MET235THR) GPs correlated with repeat revascularization and total MACE. Carriers of G allele for NOS3 A922G GP were shown to have a significantly lower repeat revascularization rate in comparison with the AA genotype, as did the T allele carriers in the NOS3 C690T GP analysis when compared to the CC genotype. The Asp genome carriers with the NOS3 GLU298ASP GP were also shown to have significantly less re-PCI in contrast to the Glu/Glu genotype. The study could document the protective influence of the 4G/5G GP for plasminogen inhibitor activator-1, which carried the lowest rate of re-PCI and total MACE during the follow-up. GPs for beta-1 G-protein subunit GNB3 C825T, fibrinogen FGB G455A and E-selectins Ser128Arg and Leu554Phe did not show statistical correlation with the clinical outcome. The results illustrate the potential use of genetic markers in defining patients with possibly worse clinical outcome after PCI, who may profit from more aggressive prevention of restenosis and late thrombotic complications.
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PMID:Relationship of genetic markers for atherosclerosis and long-term outcome after percutaneous coronary intervention with stenting. 2339 Aug 38

Small intestinal atresia (SIA) is a rare congenital occlusion of the small intestine. SIA development, particularly in the jejunum and ileum, has been associated with in utero disruption of vascular supply. However, the number of studies of the vascular hypothesis is limited. This study considers the vascular hypothesis by exploring risks associated with 32 SNPs of genes involved in vascular processes of homocysteine metabolism, coagulation, cell-cell interactions, inflammatory response, and blood pressure regulation. A total of 206 SIA cases were ascertained by the California Birth Defects Monitoring Program, and 573 infants with no major congenital anomalies by their first birthday were selected as controls. Genomic DNA was genotyped for 32 SNPs involving the following genes: MTHFR, F2, F5, F7, SERPINE1, FGB, ITGA2, ITGB3, SELE, ICAM1, MMP3, TNF, LTA, NOS3, AGTR1, AGT, NPPA, ADD1, SCNN1A, GNB3, and ADRB2. Risks were estimated as odds ratios, adjusted for maternal age and race, with 95% confidence intervals. Cases were considered collectively and by subgroups based on atresia location (duodenal/jejunum/ileum). Three SNPs had reduced risk: SERPINE1 11053 T/G, MMP3 (-1171) A6/A5, and ADRB2 gln27glu. Two had increased risk: ITGA2 873 G/A and NPPA 2238 T/C. No intestinal subphenotypes showed a unique pattern of SNP associations. The association of two SNPs with increased risk lends some, albeit limited, support to vascular impairment as a possible mechanism leading to SIA. These results also identify genes meriting further exploration in SIA studies. Hence, this study makes an important contribution by exploring the long-held but not well-investigated vascular hypothesis.
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PMID:Considering the vascular hypothesis for the pathogenesis of small intestinal atresia: a case control study of genetic factors. 2344 56

Objective: Extranodal natural killer /T-cell lymphoma (ENKTL) is an aggressive and unusual subtype of non-Hodgkin lymphoma (NHL) that it is related with the Epstein-Barr virus (EBV). CSF is considered as an ideal source of high-concenrtation disease-related proteins. We aimed at identifying the proteomic markers changes of CSF in ENKTL patients and used such changes to diagnose ENKTL. Materials and methods: In this study, CSF samples were acquired from hospitalization patients from the Cancer Center of West China Hospital, Chengdu, China. Comparative proteomic profiling are commonly used to do label-free liquid chromatography-tandem mass spectrometry (LC-MS/MS). And in this study the same method was used to characterize the variety of proteins in ENKTL patients and none-ENKTL people. Results: In the aggregate, 421 non-excrescent and functional proteins were identified among the samples. Of these proteins, 45 proteins quantified match the involved criteria. HRG, TIMP-1, SERPINA3, FGA, FGG, TF, FGB, APP, and AGT were significantly up-regulated. Discussion: We discovered that some proteins were significantly up-regulated. Also, these proteins themselves or with others proteins may be potential markers to diagnose ENKTL. The changes of proteomics may be a potential method to precisely identify the pathogenesis of the ENKTL.
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PMID:Proteomic Analysis of Cerebrospinal Fluid From Patients With Extranodal NK-/T-Cell Lymphoma of Nasal-Type With Ethmoidal Sinus Metastasis. 3199 45

(1) Aims: Diabesity, defined as diabetes occurring in the context of obesity, is a serious health problem that is associated with an increased risk of premature heart attack, stroke, and death. To date, a key challenge has been to understand the molecular pathways that play significant roles in diabesity. In this study, we aimed to investigate the genetic links between diabetes and obesity in diabetic individuals and highlight the role(s) of shared genes in individuals with diabesity. (2) Methods: The interactions between the genes were analyzed using the Search Tool for the Retrieval of Interacting Genes (STRING) tool after the compilation of obesity genes associated with type 1 diabetes (T1D), type 2 diabetes (T2D), and maturity-onset diabetes of the young (MODY). Cytoscape plugins were utilized for enrichment analysis. (3) Results: We identified 546 obesity genes that are associated with T1D, T2D, and MODY. The network backbone of the identified genes comprised 514 nodes and 4126 edges with an estimated clustering coefficient of 0.242. The Molecular Complex Detection (MCODE) generated three clusters with a score of 33.61, 16.788, and 6.783, each. The highest-scoring nodes of the clusters were AGT, FGB, and LDLR genes. The genes from cluster 1 were enriched in FOXO-mediated transcription of oxidative stress, renin secretion, and regulation of lipolysis in adipocytes. The cluster 2 genes enriched in Src homology 2 domain-containing (SHC)-related events triggered by IGF1R, regulation of lipolysis in adipocytes, and GRB2: SOS produce a link to mitogen-activated protein kinase (MAPK) signaling for integrins. The cluster 3 genes ere enriched in IGF1R signaling cascade and insulin signaling pathway. (4) Conclusion: This study presents a platform to discover potential targets for diabesity treatment and helps in understanding the molecular mechanism.
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PMID:Involvement of Essential Signaling Cascades and Analysis of Gene Networks in Diabesity. 3311 59