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)

Regulatory guidelines suggest testing chemicals up to cytotoxic doses in chromosomal-aberration assays. To investigate the utility and limitations of various cytotoxicity indicators we used Chinese hamster ovary (CHO) cells to test 8 chemicals with differing ratios of cytotoxicity to clastogenicity. We measured immediate or delayed cell killing and growth inhibition (ATP levels, cell counts, colony-forming efficiency, CFE) and cell-cycle perturbations (mitotic index, MI; average generation time, AGT). Aberrations (abs) were scored 10 and 24 h from the beginning of the 3-h treatment. All 8 compounds induced abs at concentrations that reduced cell growth at 24 h by 50% or less. Concentrations of each chemical which induced at least 15% cells with abs, gave little loss of CFE (0-20%) for mitomycin C, adriamycin, cadmium sulfate and 2,6-diaminotoluene in contrast to the marked loss of CFE (70-80%) for eugenol (EUG), 2-aminobiphenyl and 8-hydroxyquinoline (8-HQ). 2,4-Diaminotoluene (2,4-DAT) was intermediate. Higher aberration yields were found at 24 h than at 10 h, even when minimal cell-cycle delay was detected by AGT estimates from BrdUrd-labeled cells. Cells with multiple abs were seen at 24 but not at 10 h, and often confirmed clastogenicity when there was only a weak increase in the percentage of cells with aberrations. Total ATP per culture did not always correlate with cell number, especially at later times after treatment. This is likely due to metabolic perturbations or altered cell biomass that are known to affect cell ATP content. MI suppression often did not correlate with AGT, e.g., only small increases in AGT were seen for 8-HQ, 2,4-DAT and EUG despite severe mitotic suppression at 10 h. By 24 h the MI for all chemicals had recovered, sometimes exceeding control levels. Marked mitotic accumulation was seen at 10 h for 2,4-DAT, indicating cell synchrony. Thus, the MI has limited value for dose selection. In conclusion, even weakly active chemicals were detected at a single time without exceeding a 50% growth reduction at 24 h.
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PMID:A quantitative assessment of the cytotoxicity associated with chromosomal aberration detection in Chinese hamster ovary cells. 137 Feb 42

Alzheimer's disease (AD) and dementia with vascular component (DVC) are the most prevalent forms of dementia. Both clinical entities share many similarities, but they differ in major phenotypic and genotypic profiles as revealed by structural and functional genomics studies. Comparative phenotypic studies have identified significant differences in 25% of more than 100 parametric variables, including anthropometry, cardiovascular function, aortic atherosclerosis, brain atrophy, blood pressure, blood biochemistry, hematology, thyroid function, folate and vitamin B12 levels, brain hemodynamics and lymphocyte markers. The phenotypic profile of patients with DVC differs from that of AD patients in the following: anthropometric values (weight, height); cardiovascular function (ECG, heart rate); blood pressure; lipid metabolism (HDL-CHO, TGs); uric acid metabolism; peripheral calcium homeostasis; liver function (GOT, GPT, GGT); alkaline phosphatase; lactate dehydrogenase; red and white blood cells; regional brain atrophy (left temporal region, inter-hippocampal distance); and left anterior blood flow velocity. Functional genomics studies incorporating APOE-related changes in biological markers extended the difference between AD and DVC up to 57%. Brain perfusion studies show a severe brain hypoperfusion in dementia associated with enlarged age-dependent arterial perfusion times. Structural genomics studies with AD-related genes, including APP, MAPT, APOE, PS1, PS2, A2M, ACE, AGT, cFOS and PRNP genes, demonstrate different genetic profiles in AD and DVC, with an absolute genetic variation rate ranging from 30% to 80%, depending upon genes and genetic clusters. Single gene analysis identifies relative genetic variations ranging from 0% to 5%. The relative polymorphic variation in genetic clusters integrated by two, three or four genes associated with AD ranges from 1% to 3%. The main phenotypic differences between AD and DVC are genotype-dependent, especially in AD, probably indicating that different genomic factors are determinant for the expression of dementia symptoms which might be accelerated or induced by environmental and/or cerebrovascular factors.
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PMID:Phenotypic profiles and functional genomics in Alzheimer's disease and in dementia with a vascular component. 1526 64

Constitutive genomics are probably determinant for the onset of dementia in conjunction with cerebrovascular and environmental factors. Furthermore, pharmacogenomic studies predict that the therapeutic response in Alzheimer's disease (AD) is genotype-specific, and that the expression of genes involved in the regulation of drug metabolism can influence efficacy and safety issues in pharmacotherapy. AD and dementia with a vascular component (DVC = VD + MXD) are the most prevalent forms of dementia. These clinical entities share many similarities, but they differ in major phenotypic and genotypic profiles, as revealed by structural and functional genomics studies. Comparative phenotypic studies have identified significant differences in 25% of more than 100 parametric variables, including anthropometry, cardiovascular function, aortic atherosclerosis, brain atrophy, blood pressure, blood biochemistry, hematology, thyroid function, folic acid and vitamin B(12) levels, brain hemodynamics and lymphocyte markers. The phenotypic profile of patients with DVC differs from that of AD patients in the following: (a) anthropometric values, (b) cardiovascular function, (c) blood pressure, (d) lipid metabolism, (e) uric acid levels, (f) peripheral calcium levels, (g) liver function (GOT, GPT, GGT), (h) alkaline phosphatase, (i) lactate dehydrogenase, (j) red and white blood cells, (k) regional brain atrophy (left temporal region, inter-hippocampal distance) and (l) brain blood flow velocity. Functional genomics studies incorporating APOE-related changes in biological markers extended the difference between AD and DVC up to 57%. Structural genomics studies with AD-related genes, including APP, MAPT, APOE, PS1, PS2, A2M, ACE, AGT, cFOS and PRNP genes, demonstrate different genetic profiles in AD and DVC, with an absolute genetic variation rate ranging from 30 to 80%, depending upon genes and genetic clusters. Single gene analysis identifies relative genetic variations ranging from 0 to 5%. The relative polymorphic variation in genetic clusters integrated by 2, 3 or 4 genes associated with AD ranges from 1 to 3%. The main phenotypic differences between AD and DVC are genotype-dependent, especially in AD, probably indicating that different genomic factors are essential for the expression of dementia symptoms that might be accelerated or induced by environmental and/or cerebrovascular factors.
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PMID:Genomics and phenotypic profiles in dementia: implications for pharmacological treatment. 1534 38

More than 180 genes distributed across the human genome are potentially involved in the pathogenesis of Alzheimer's disease (AD). The AD population shows a higher genetic variation rate than the control population. Significant differences in allelic distribution and frequency exist when AD-related polygenic clusters are compared with other forms of dementia, indicating that the genetic component in neurodegenerative dementia differs from that of other CNS disorders. The characterization of AD genotype-related phenotypic profiles reveals substantial differences in biological markers among AD clusters associated with different genes and/or allelic combinations. AD and dementia with vascular component (DVC) are the most prevalent forms of dementia. Both clinical entities share many similarities, but they differ in their major phenotypic and genotypic profiles, as revealed by structural and functional genomics studies. Comparative phenotypic studies have identified significant differences in 25% of more than 100 parametric variables, including anthropometric values, cardiovascular function, blood pressure, lipid metabolism, uric acid metabolism, peripheral calcium homeostasis, liver function, alkaline phosphatase, lactate dehydrogenase, red and white blood cells, regional brain atrophy, and brain blood flow velocity. Functional genomic studies incorporating apolipoprotein E (APOE)-related changes in biological markers extended the difference between AD and DVC by up to 57%. Structural genomic studies with AD-related genes, including APP, MAPT, APOE, PS1, PS2, A2M, ACE, AGT, cFOS, and PRNP, demonstrate different genetic profiles in AD and DVC, with an absolute genetic variation rate in the range of 30-80%, depending upon genes and genetic clusters. The relative polymorphic variation in genetic clusters integrated by two, three or four genes associated with AD ranges from 1 to 3%. The main phenotypic differences in AD are genotype dependent, indicating a powerful influence of polygenic factors on the AD phenotypic profile. All these genotypic and phenotypic variations bring about important consequences for the pharmacogenomics of AD.
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PMID:Genomic characterization of Alzheimer's disease and genotype-related phenotypic analysis of biological markers in dementia. 1558 76

To explore genetic contributions of Alzheimer's disease (AD) at the level of biological terms and pathways, we analyzed three Caucasian population-based genome-wide association study datasets (TGEN_ND, GeneADA and NIA_LOAD) using the Database for Annotation, Visualization and Integrated Discovery (DAVID). This analysis identified 4 annotation terms ("Fibronectin type III-like fold," "Cell adhesion," "Cell motion" and "Ig-like-C2-type 3") and 17 genes that associated with AD susceptibility in two or more of the GWAS datasets. Ten of these genes, have previously been identified as candidate AD liability genes in genetic association studies (AGT, COL11A1) or encode proteins that function in biological systems or pathways previously implicated in AD (BARHL2, CSF3R, DAB1, HMCN1, LEPR, PTPRF, PXDN, TNR). Among these, DAB1 (Dab, reelin signal transducer, homolog 1) was of particular interest, since it encodes a protein that functions downstream from reelin, a signaling pathway previously identified as protective in AD. Multiple linear regression analysis of correlations between brain DAB1 mRNA expression and SNP genotype using data from the "BrainCloud" database identified five SNPs within the DAB1 locus that correlated with mRNA expression in human dorsolateral prefrontal cortex. Analysis of predicted levels of DAB1 mRNA expression based on genotype combinations present in AD cases and controls vs. the log10-transformed odds ratios for AD diagnosis, revealed statistically significant correlations in one of the GWAS datasets (GenADA), with high DAB1 mRNA expression correlating with AD protection. Multidimensional scaling (MDS) analysis of cases and controls in the three GWAS, revealed genetic differences between GenADA and TGEN_ND/NIA_LOAD, which were similar to each other. To our knowledge, this study is the first to provide genetic evidence for DAB1 as a candidate AD liability/protection gene, although the strength of the contribution of DAB1 may differ among populations.
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PMID:Functional enrichment analysis of three Alzheimer's disease genome-wide association studies identities DAB1 as a novel candidate liability/protective gene. 2602 59

Alzheimer's disease (AD) is a polygenic/complex disorder in which genomic, epigenomic, cerebrovascular, metabolic, and environmental factors converge to define a progressive neurodegenerative phenotype. Pharmacogenetics is a major determinant of therapeutic outcome in AD. Different categories of genes are potentially involved in the pharmacogenetic network responsible for drug efficacy and safety, including pathogenic, mechanistic, metabolic, transporter, and pleiotropic genes. However, most drugs exert pleiotropic effects that are promiscuously regulated for different gene products. Only 20% of the Caucasian population are extensive metabolizers for tetragenic haplotypes integrating CYP2D6-CYP2C19-CYP2C9-CYP3A4/5 variants. Patients harboring CYP-related poor (PM) and/or ultra-rapid (UM) geno-phenotypes display more irregular profiles in drug metabolism than extensive (EM) or intermediate (IM) metabolizers. Among 111 pentagenic (APOE-APOB-APOC3-CETP-LPL) haplotypes associated with lipid metabolism, carriers of the H26 haplotype (23-TT-CG-AG-CC) exhibit the lowest cholesterol levels, and patients with the H104 haplotype (44-CC-CC-AA-CC) are severely hypercholesterolemic. Furthermore, APOE, NOS3, ACE, AGT, and CYP variants influence the therapeutic response to hypotensive drugs in AD patients with hypertension. Consequently, the implementation of pharmacogenetic procedures may optimize therapeutics in AD patients under polypharmacy regimes for the treatment of concomitant vascular disorders.
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PMID:Pharmacogenetics of Vascular Risk Factors in Alzheimer's Disease. 2930 87