Russell W Fankhouser, Derek E Murrell, Yaa Y Anane, David L Hurley, Hadii M Mamudu, Sam Harirforoosh
{"title":"2型糖尿病:选定的代谢酶和转运体及其对心血管和肾脏生物标志物的影响的探索性遗传关联分析","authors":"Russell W Fankhouser, Derek E Murrell, Yaa Y Anane, David L Hurley, Hadii M Mamudu, Sam Harirforoosh","doi":"10.1515/dmpt-2021-0135","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>This study sought to identify potential pharmacogenetic associations of selected enzymes and transporters with type 2 diabetes (T2D). In addition, pharmacogenomic profiles, concentrations of asymmetric dimethylarginine (ADMA) or kidney injury molecule-1 (KIM-1), and several covariates were investigated.</p><p><strong>Methods: </strong>Whole blood was collected from 63 patients, with 32 individuals with T2D. A pharmacogenomic panel was used to assay genetic profiles, and biomarker ELISAs were run to determine subject concentrations of ADMA and KIM-1. Additive genetic modeling with multiple linear and logistic regressions were performed to discover potential SNPs-outcome associations using PLINK.</p><p><strong>Results: </strong>Ten SNPs were found to be significant (p<0.05) depending on the inclusion or exclusion of covariates. Of these, four were found in association with the presence of T2D, rs2231142, rs1801280, rs1799929, and rs1801265 depending on covariate inclusion or exclusion. Regarding ADMA, one SNP was found to be significant without covariates, rs1048943. Five SNPs were identified in association with KIM-1 and T2D in the presence of covariates, rs12208357, rs34059508, rs1058930, rs1902023, and rs3745274. Biomarker concentrations were not significantly different in the presence of T2D.</p><p><strong>Conclusions: </strong>This exploratory study found several SNPs related to T2D; further research is required to validate and understand these relationships.</p>","PeriodicalId":11332,"journal":{"name":"Drug metabolism and personalized therapy","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Type 2 diabetes: an exploratory genetic association analysis of selected metabolizing enzymes and transporters and effects on cardiovascular and renal biomarkers.\",\"authors\":\"Russell W Fankhouser, Derek E Murrell, Yaa Y Anane, David L Hurley, Hadii M Mamudu, Sam Harirforoosh\",\"doi\":\"10.1515/dmpt-2021-0135\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objectives: </strong>This study sought to identify potential pharmacogenetic associations of selected enzymes and transporters with type 2 diabetes (T2D). In addition, pharmacogenomic profiles, concentrations of asymmetric dimethylarginine (ADMA) or kidney injury molecule-1 (KIM-1), and several covariates were investigated.</p><p><strong>Methods: </strong>Whole blood was collected from 63 patients, with 32 individuals with T2D. A pharmacogenomic panel was used to assay genetic profiles, and biomarker ELISAs were run to determine subject concentrations of ADMA and KIM-1. Additive genetic modeling with multiple linear and logistic regressions were performed to discover potential SNPs-outcome associations using PLINK.</p><p><strong>Results: </strong>Ten SNPs were found to be significant (p<0.05) depending on the inclusion or exclusion of covariates. Of these, four were found in association with the presence of T2D, rs2231142, rs1801280, rs1799929, and rs1801265 depending on covariate inclusion or exclusion. Regarding ADMA, one SNP was found to be significant without covariates, rs1048943. Five SNPs were identified in association with KIM-1 and T2D in the presence of covariates, rs12208357, rs34059508, rs1058930, rs1902023, and rs3745274. Biomarker concentrations were not significantly different in the presence of T2D.</p><p><strong>Conclusions: </strong>This exploratory study found several SNPs related to T2D; further research is required to validate and understand these relationships.</p>\",\"PeriodicalId\":11332,\"journal\":{\"name\":\"Drug metabolism and personalized therapy\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Drug metabolism and personalized therapy\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1515/dmpt-2021-0135\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Pharmacology, Toxicology and Pharmaceutics\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Drug metabolism and personalized therapy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1515/dmpt-2021-0135","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Pharmacology, Toxicology and Pharmaceutics","Score":null,"Total":0}
Type 2 diabetes: an exploratory genetic association analysis of selected metabolizing enzymes and transporters and effects on cardiovascular and renal biomarkers.
Objectives: This study sought to identify potential pharmacogenetic associations of selected enzymes and transporters with type 2 diabetes (T2D). In addition, pharmacogenomic profiles, concentrations of asymmetric dimethylarginine (ADMA) or kidney injury molecule-1 (KIM-1), and several covariates were investigated.
Methods: Whole blood was collected from 63 patients, with 32 individuals with T2D. A pharmacogenomic panel was used to assay genetic profiles, and biomarker ELISAs were run to determine subject concentrations of ADMA and KIM-1. Additive genetic modeling with multiple linear and logistic regressions were performed to discover potential SNPs-outcome associations using PLINK.
Results: Ten SNPs were found to be significant (p<0.05) depending on the inclusion or exclusion of covariates. Of these, four were found in association with the presence of T2D, rs2231142, rs1801280, rs1799929, and rs1801265 depending on covariate inclusion or exclusion. Regarding ADMA, one SNP was found to be significant without covariates, rs1048943. Five SNPs were identified in association with KIM-1 and T2D in the presence of covariates, rs12208357, rs34059508, rs1058930, rs1902023, and rs3745274. Biomarker concentrations were not significantly different in the presence of T2D.
Conclusions: This exploratory study found several SNPs related to T2D; further research is required to validate and understand these relationships.
期刊介绍：
Drug Metabolism and Personalized Therapy (DMPT) is a peer-reviewed journal, and is abstracted/indexed in relevant major Abstracting Services. It provides up-to-date research articles, reviews and opinion papers in the wide field of drug metabolism research, covering established, new and potential drugs, environmentally toxic chemicals, the mechanisms by which drugs may interact with each other and with biological systems, and the pharmacological and toxicological consequences of these interactions and drug metabolism and excretion. Topics: drug metabolizing enzymes, pharmacogenetics and pharmacogenomics, biochemical pharmacology, molecular pathology, clinical pharmacology, pharmacokinetics and drug-drug interactions, immunopharmacology, neuropsychopharmacology.
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