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Metabolomics Signature of Plasma Renin Activity and Linkage with Blood Pressure Response to Beta Blockers and Thiazide Diuretics in Hypertensive European American Patients. Metabolites 2021; 11:metabo11090645. [PMID: 34564461 PMCID: PMC8466669 DOI: 10.3390/metabo11090645] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2021] [Revised: 09/13/2021] [Accepted: 09/14/2021] [Indexed: 01/13/2023] Open
Abstract
Plasma renin activity (PRA) is a predictive biomarker of blood pressure (BP) response to antihypertensives in European–American hypertensive patients. We aimed to identify the metabolic signatures of baseline PRA and the linkages with BP response to β-blockers and thiazides. Using data from the Pharmacogenomic Evaluation of Antihypertensive Responses-2 (PEAR-2) trial, multivariable linear regression adjusting for age, sex and baseline systolic-BP (SBP) was performed on European–American individuals treated with metoprolol (n = 198) and chlorthalidone (n = 181), to test associations between 856 metabolites and baseline PRA. Metabolites with a false discovery rate (FDR) < 0.05 or p < 0.01 were tested for replication in 463 European–American individuals treated with atenolol or hydrochlorothiazide. Replicated metabolites were then tested for validation based on the directionality of association with BP response. Sixty-three metabolites were associated with baseline PRA, of which nine, including six lipids, were replicated. Of those replicated, two metabolites associated with higher baseline PRA were validated: caprate was associated with greater metoprolol SBP response (β = −1.7 ± 0.6, p = 0.006) and sphingosine-1-phosphate was associated with reduced hydrochlorothiazide SBP response (β = 7.6 ± 2.8, p = 0.007). These metabolites are clustered with metabolites involved in sphingolipid, phospholipid, and purine metabolic pathways. The identified metabolic signatures provide insights into the mechanisms underlying BP response.
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Cao N, Tang H, Tian M, Gong X, Xu Z, Zhou B, Lan C, Chen C, Qu S, Zheng S, Ren H, Fan C, Jose PA, Zeng C, Xia T. Genetic variants of GRK4 influence circadian rhythm of blood pressure and response to candesartan in hypertensive patients. Clin Exp Hypertens 2021; 43:597-603. [PMID: 33899625 DOI: 10.1080/10641963.2021.1919357] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
Background: Genetic variants of coding genes related to blood pressure regulation participate in the pathogenesis of hypertension and determines the response to specific antihypertensive drugs. G protein-coupled receptor kinase 4 (GRK4) and its variants are of great importance in pathogenesis of hypertension. However, little is known about role of GRK4 variants in determine circadian rhythm of blood pressure and response to candesartan in hypertension. The aim of this study was to analyze the correlation of GRK4 variants and circadian rhythm of blood pressure, and to explore their effect on antihypertensive efficiency of candestartan.Methods: In this study, a total of 1239 cases were eligible, completed ambulatory blood pressure monitoring (ABPm) observation and exon sequencing of G protein-coupled receptor kinase 4 (GRK4). ABPm was obtained before and after 4-week treatment of candesartan. Diurnal variation of systolic blood pressure and antihypertensive effect of candesartan were then assessed.Results: Compared to GRK4 wild type (GRK4-WT), patients with GRK4 variants were more likely to be non-dippers (odds ratio (OR) 6.672, 95% confidence interval (CI) 5.124-8.688, P < .001), with GRK4 A142V (OR 5.888, 95% CI 4.332-8.003, P < .001), A486V (OR 7.102, 95% CI 5.334-9.455, P < .001) and GRK4 R65L (OR 3.273, 95% CI 2.271-4.718, P < .001), respectively. Correlation analysis revealed that non-dippers rhythm of blood pressure were associated with GRK4 variants (r = .420, P < .001), with GRK4 A142V (r = .416, P < .001), A486V (r = .465, P < .001) and GRK4 R65L (r = .266, P < .001), respectively. When given 4-week candesartan, patients with GRK4 variants showed better antihypertensive effect as to drop in blood pressure (24 h mSBP, 21.21 ± 4.99 vs 12.34 ± 4.78 mmHg, P < .001) and morning peak (MP-SBP, 16.54 ± 4.37 vs 11.52 ± 4.14 mmHg, P < .001), as well as greater increase in trough to peak ratio (SBP-T/P, .71 ± .07 vs .58 ± .07, P < .001) and smoothness index (SBP-SI, 1.44 ± .16 vs 1.17 ± .11, P < .001) than those with GRK4 WT.Conclusion: This study indicates that hypertensive patients with GRK4 variants are more likely to be non-dippers. What's more, patients with GRK4 variants possess a significantly better antihypertensive response to candesartan than those with GRK4 WT.
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Affiliation(s)
- Nian Cao
- Department of Cardiology, Daping Hospital, Third Military Medical University, Chongqing, P.R. China.,Chongqing Key Laboratory for Hypertension Research, Chongqing Cardiovascular Clinical Research Center, Chongqing Key Laboratory for Hypertension Research, Chongqing Cardiovascular Clinical Research Center, Chongqing Institute of Cardiology, Chongqing, P.R. China
| | - Hui Tang
- Department of Cardiology, Daping Hospital, Third Military Medical University, Chongqing, P.R. China.,Chongqing Key Laboratory for Hypertension Research, Chongqing Cardiovascular Clinical Research Center, Chongqing Key Laboratory for Hypertension Research, Chongqing Cardiovascular Clinical Research Center, Chongqing Institute of Cardiology, Chongqing, P.R. China
| | - Miao Tian
- Department of Cardiology, Daping Hospital, Third Military Medical University, Chongqing, P.R. China.,Chongqing Key Laboratory for Hypertension Research, Chongqing Cardiovascular Clinical Research Center, Chongqing Key Laboratory for Hypertension Research, Chongqing Cardiovascular Clinical Research Center, Chongqing Institute of Cardiology, Chongqing, P.R. China
| | - Xue Gong
- Department of Cardiology, Daping Hospital, Third Military Medical University, Chongqing, P.R. China.,Chongqing Key Laboratory for Hypertension Research, Chongqing Cardiovascular Clinical Research Center, Chongqing Key Laboratory for Hypertension Research, Chongqing Cardiovascular Clinical Research Center, Chongqing Institute of Cardiology, Chongqing, P.R. China
| | - Zaicheng Xu
- Department of Cardiology, Daping Hospital, Third Military Medical University, Chongqing, P.R. China.,Chongqing Key Laboratory for Hypertension Research, Chongqing Cardiovascular Clinical Research Center, Chongqing Key Laboratory for Hypertension Research, Chongqing Cardiovascular Clinical Research Center, Chongqing Institute of Cardiology, Chongqing, P.R. China
| | - Binqing Zhou
- Department of Cardiology, Daping Hospital, Third Military Medical University, Chongqing, P.R. China.,Chongqing Key Laboratory for Hypertension Research, Chongqing Cardiovascular Clinical Research Center, Chongqing Key Laboratory for Hypertension Research, Chongqing Cardiovascular Clinical Research Center, Chongqing Institute of Cardiology, Chongqing, P.R. China
| | - Cong Lan
- Department of Cardiology, Daping Hospital, Third Military Medical University, Chongqing, P.R. China.,Chongqing Key Laboratory for Hypertension Research, Chongqing Cardiovascular Clinical Research Center, Chongqing Key Laboratory for Hypertension Research, Chongqing Cardiovascular Clinical Research Center, Chongqing Institute of Cardiology, Chongqing, P.R. China
| | - Caiyu Chen
- Department of Cardiology, Daping Hospital, Third Military Medical University, Chongqing, P.R. China.,Chongqing Key Laboratory for Hypertension Research, Chongqing Cardiovascular Clinical Research Center, Chongqing Key Laboratory for Hypertension Research, Chongqing Cardiovascular Clinical Research Center, Chongqing Institute of Cardiology, Chongqing, P.R. China
| | - Shuang Qu
- Department of Cardiology, Daping Hospital, Third Military Medical University, Chongqing, P.R. China.,Chongqing Key Laboratory for Hypertension Research, Chongqing Cardiovascular Clinical Research Center, Chongqing Key Laboratory for Hypertension Research, Chongqing Cardiovascular Clinical Research Center, Chongqing Institute of Cardiology, Chongqing, P.R. China
| | - Shuo Zheng
- Department of Cardiology, Daping Hospital, Third Military Medical University, Chongqing, P.R. China.,Chongqing Key Laboratory for Hypertension Research, Chongqing Cardiovascular Clinical Research Center, Chongqing Key Laboratory for Hypertension Research, Chongqing Cardiovascular Clinical Research Center, Chongqing Institute of Cardiology, Chongqing, P.R. China
| | - Hongmei Ren
- Department of Cardiology, Daping Hospital, Third Military Medical University, Chongqing, P.R. China.,Chongqing Key Laboratory for Hypertension Research, Chongqing Cardiovascular Clinical Research Center, Chongqing Key Laboratory for Hypertension Research, Chongqing Cardiovascular Clinical Research Center, Chongqing Institute of Cardiology, Chongqing, P.R. China
| | - Chao Fan
- Department of Cardiology, Daping Hospital, Third Military Medical University, Chongqing, P.R. China.,Chongqing Key Laboratory for Hypertension Research, Chongqing Cardiovascular Clinical Research Center, Chongqing Key Laboratory for Hypertension Research, Chongqing Cardiovascular Clinical Research Center, Chongqing Institute of Cardiology, Chongqing, P.R. China
| | - Pedro A Jose
- Department of Medicine and Pharmacology-Physiology, The George Washington University School of Medicine & Health Sciences, Washington, DC, USA
| | - Chunyu Zeng
- Department of Cardiology, Daping Hospital, Third Military Medical University, Chongqing, P.R. China.,Chongqing Key Laboratory for Hypertension Research, Chongqing Cardiovascular Clinical Research Center, Chongqing Key Laboratory for Hypertension Research, Chongqing Cardiovascular Clinical Research Center, Chongqing Institute of Cardiology, Chongqing, P.R. China.,State Key Laboratory of Trauma, Burns and Combined Injury, Daping Hospital, The Third Military Medical University, Chongqing, P.R. China
| | - Tianyang Xia
- Department of Cardiology, Daping Hospital, Third Military Medical University, Chongqing, P.R. China.,Chongqing Key Laboratory for Hypertension Research, Chongqing Cardiovascular Clinical Research Center, Chongqing Key Laboratory for Hypertension Research, Chongqing Cardiovascular Clinical Research Center, Chongqing Institute of Cardiology, Chongqing, P.R. China
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Mehanna M, Chen YE, Gong Y, Handberg E, Roth B, De Leon J, Smith SM, Harrell JG, Cooper-DeHoff RM. Optimizing Precision of Hypertension Care to Maximize Blood Pressure Control: A Pilot Study Utilizing a Smartphone App to Incorporate Plasma Renin Activity Testing. Clin Transl Sci 2020; 14:617-624. [PMID: 33142006 PMCID: PMC7993275 DOI: 10.1111/cts.12922] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Accepted: 10/17/2020] [Indexed: 12/13/2022] Open
Abstract
Only half of patients with hypertension (HTN) respond to any given antihypertensive medication. Heterogeneity in pathophysiologic pathways underlying HTN is a major contributor. Personalizing antihypertensive therapy could improve blood pressure (BP) reduction. The objective of this study was to assess the effect of pragmatic implementation of a personalized plasma renin activity (PRA)‐based smartphone app on improving BP reduction. Patients with untreated or treated but uncontrolled HTN were recruited. BP and PRA were measured at baseline with final BP measured at 6 months. Patient’s information was entered into the app and treatment recommendations were returned. Clinicians were at liberty to follow or disregard the app’s recommendations. BP levels and percent BP control among patients whose clinicians did and did not follow the app’s recommendations were compared using independent t‐test and Fisher’s exact test, respectively. Twenty‐nine European American patients were included (38% women) with mean age of 52 ± 9 years and median PRA of 1.3 ng/mL/hr (interquartile range 0.5–3.1 ng/mL/hr). Participants whose clinicians followed the app’s recommendations (n = 16, 55%) as compared with those whose clinicians did not (n = 13, 45%), had a greater reduction in 6‐month systolic BP (−15 ± 21 vs. −3 ± 21 mm Hg; adjusted‐P = 0.1) and diastolic BP (−8 ± 8 vs. −1 ± 8 mm Hg; adjusted‐P = 0.04). BP control at 6 months tended to be greater among patients whose clinicians accepted the app’s recommendations vs. those whose clinicians did not (63% vs. 23%, P = 0.06). This pilot study demonstrates that acceptance of the app’s recommendations was associated with a greater BP reduction. Future studies to confirm these pilot findings are warranted.
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Affiliation(s)
- Mai Mehanna
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics, College of Pharmacy, University of Florida, Gainesville, Florida, USA
| | - Yiqing E Chen
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics, College of Pharmacy, University of Florida, Gainesville, Florida, USA
| | - Yan Gong
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics, College of Pharmacy, University of Florida, Gainesville, Florida, USA
| | - Eileen Handberg
- Department of Medicine, College of Medicine, University of Florida, Gainesville, Florida, USA
| | - Brittney Roth
- Department of Health Outcomes & Biomedical Informatics, College of Medicine, University of Florida, Gainesville, Florida, USA
| | - Jessica De Leon
- Division of Research & Graduate Programs, College of Medicine, Florida State University, Tallahassee, Florida, USA
| | - Steven M Smith
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics, College of Pharmacy, University of Florida, Gainesville, Florida, USA
| | - Jonathan G Harrell
- Department of Community Health & Family Medicine, University of Florida, Gainesville, Florida, USA
| | - Rhonda M Cooper-DeHoff
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics, College of Pharmacy, University of Florida, Gainesville, Florida, USA
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Clemmer JS, Pruett WA, Lirette ST. Racial and Sex Differences in the Response to First-Line Antihypertensive Therapy. Front Cardiovasc Med 2020; 7:608037. [PMID: 33392272 PMCID: PMC7773696 DOI: 10.3389/fcvm.2020.608037] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Accepted: 11/27/2020] [Indexed: 12/12/2022] Open
Abstract
Objective: As compared to whites, the black population develops hypertension (HTN) at an earlier age, has a greater frequency and severity of HTN, and has poorer control of blood pressure (BP). Traditional practices and treatment efforts have had minor impact on these disparities, with over a 2-fold higher death rate currently for blacks as compared to whites. The University of Mississippi Medical Center (UMC) is located in the southeastern US and the Stroke Belt, which has higher rates of HTN and related diseases as compared to the rest of the country. Methods: We retrospectively analyzed the UMC's Research Data Warehouse, containing >30 million electronic health records from >900,000 patients to determine the initial BP response following the first prescribed antihypertensive drug. Results: There were 5,973 white (45% overall HTN prevalence) and 10,731 black (57% overall HTN prevalence) patients who met criteria for the study. After controlling for age, BMI, and drug dosage, black males were overall less likely to have controlled BP (defined as < 140/90 mmHg) and were associated with smaller falls in BP as compared to whites and black females. Blockers of the renin-angiotensin system (RAS) failed to significantly improve odds of HTN control vs. the untreated group in black patients. However, our data suggests that these drugs do provide significant benefit in blacks when combined with THZ, as compared to untreated and as compared to THZ alone. Conclusion: These data support the use of a single-pill formulation with ARB or ACE inhibitor with a thiazide in blacks for initial first-line HTN therapy and suggests that HTN treatment strategies should consider both race and gender. Our study gives a unique insight into initial antihypertensive responses in actual clinical practice and could have an impact in BP control efficiency in a state with prevalent socioeconomic and racial disparities.
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Affiliation(s)
- John S Clemmer
- Department of Physiology and Biophysics, Center for Computational Medicine, University of Mississippi Medical Center, Jackson, MS, United States
| | - W Andrew Pruett
- Department of Physiology and Biophysics, Center for Computational Medicine, University of Mississippi Medical Center, Jackson, MS, United States
| | - Seth T Lirette
- Department of Data Science, John D. Bower School of Population Health, University of Mississippi Medical Center, Jackson, MS, United States
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5
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Cunningham PN, Wang Z, Grove ML, Cooper-DeHoff RM, Beitelshees AL, Gong Y, Gums JG, Johnson JA, Turner ST, Boerwinkle E, Chapman AB. Hypertensive APOL1 risk allele carriers demonstrate greater blood pressure reduction with angiotensin receptor blockade compared to low risk carriers. PLoS One 2019; 14:e0221957. [PMID: 31532792 PMCID: PMC6750571 DOI: 10.1371/journal.pone.0221957] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2019] [Accepted: 08/19/2019] [Indexed: 12/12/2022] Open
Abstract
Background Hypertension (HTN) disproportionately affects African Americans (AAs), who respond better to thiazide diuretics than other antihypertensives. Variants of the APOL1 gene found in AAs are associated with a higher rate of kidney disease and play a complex role in cardiovascular disease. Methods AA subjects from four HTN trials (n = 961) (GERA1, GERA2, PEAR1, and PEAR2) were evaluated for blood pressure (BP) response based on APOL1 genotype after 4–9 weeks of monotherapy with thiazides, beta blockers, or candesartan. APOL1 G1 and G2 variants were determined by direct sequencing or imputation. Results Baseline systolic BP (SBP) and diastolic BP (DBP) levels did not differ based on APOL1 genotype. Subjects with 1–2 APOL1 risk alleles had a greater SBP response to candesartan (-12.2 +/- 1.2 vs -7.5 +/- 1.8 mmHg, p = 0.03; GERA2), and a greater decline in albuminuria with candesartan (-8.3 +/- 3.1 vs +3.7 +/- 4.3 mg/day, p = 0.02). APOL1 genotype did not associate with BP response to thiazides or beta blockers. GWAS was performed to determine associations with BP response to candesartan depending on APOL1 genotype. While no SNPs reached genome wide significance, SNP rs10113352, intronic in CSMD1, predicted greater office SBP response to candesartan (p = 3.7 x 10−7) in those with 1–2 risk alleles, while SNP rs286856, intronic in DPP6, predicted greater office SBP response (p = 3.2 x 10−7) in those with 0 risk alleles. Conclusions Hypertensive AAs without overt kidney disease who carry 1 or more APOL1 risk variants have a greater BP and albuminuria reduction in response to candesartan therapy. BP response to thiazides or beta blockers did not differ by APOL1 genotype. Future studies confirming this initial finding in an independent cohort are required.
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Affiliation(s)
- Patrick N. Cunningham
- Section of Nephrology, University of Chicago, Chicago, Illinois, United States of America
- * E-mail:
| | - Zhiying Wang
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas, United States of America
| | - Megan L. Grove
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas, United States of America
| | - Rhonda M. Cooper-DeHoff
- Department of Pharmacotherapy and Translational Research, College of Pharmacy and Division of Cardiovascular Medicine, College of Medicine, University of Florida, Gainesville, Florida, United States of America
| | - Amber L. Beitelshees
- Endocrinology, Diabetes, and Nutrition Division, Department of Medicine, University of Maryland, Baltimore, Maryland, United States of America
| | - Yan Gong
- Department of Pharmacotherapy and Translational Research, College of Pharmacy and Division of Cardiovascular Medicine, College of Medicine, University of Florida, Gainesville, Florida, United States of America
| | - John G. Gums
- Department of Pharmacotherapy and Translational Research, College of Pharmacy and Division of Cardiovascular Medicine, College of Medicine, University of Florida, Gainesville, Florida, United States of America
| | - Julie A. Johnson
- Department of Pharmacotherapy and Translational Research, College of Pharmacy and Division of Cardiovascular Medicine, College of Medicine, University of Florida, Gainesville, Florida, United States of America
| | - Stephen T. Turner
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Eric Boerwinkle
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas, United States of America
- Baylor College of Medicine, Human Genome Sequencing Center, Houston, Texas, United States of America
| | - Arlene B. Chapman
- Section of Nephrology, University of Chicago, Chicago, Illinois, United States of America
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Iniesta R, Campbell D, Venturini C, Faconti L, Singh S, Irvin MR, Cooper-DeHoff RM, Johnson JA, Turner ST, Arnett DK, Weale ME, Warren H, Munroe PB, Cruickshank K, Padmanabhan S, Lewis C, Chowienczyk P. Gene Variants at Loci Related to Blood Pressure Account for Variation in Response to Antihypertensive Drugs Between Black and White Individuals. Hypertension 2019; 74:614-622. [PMID: 31327267 DOI: 10.1161/hypertensionaha.118.12177] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Selection of antihypertensive treatment according to self-defined ethnicity is recommended by some guidelines but might be better guided by individual genotype rather than ethnicity or race. We compared the extent to which variation in blood pressure response across different ethnicities may be explained by genetic factors: genetically defined ancestry and gene variants at loci known to be associated with blood pressure. We analyzed data from 5 trials in which genotyping had been performed (n=4696) and in which treatment responses to β-blockers, angiotensin-converting enzyme inhibitors, angiotensin receptor blocker, thiazide or thiazide-like diuretic and calcium channel blocker were available. Genetically defined ancestry for proportion of African ancestry was computed using the 1000 genomes population database as a reference. Differences in response to the thiazide diuretic hydrochlorothiazide, the β-blockers atenolol and metoprolol, the angiotensin-converting enzyme inhibitor lisinopril, and the angiotensin receptor blocker candesartan were more closely associated to genetically defined ancestry than self-defined ethnicity in admixed subjects. A relatively small number of gene variants related to loci associated with drug-signaling pathways (KCNK3, SULT1C3, AMH, PDE3A, PLCE1, PRKAG2) with large effect size (-3.5 to +3.5 mm Hg difference in response per allele) and differing allele frequencies in black versus white individuals explained a large proportion of the difference in response to candesartan and hydrochlorothiazide between these groups. These findings suggest that a genomic precision medicine approach can be used to individualize antihypertensive treatment within and across populations without recourse to surrogates of genetic structure such as self-defined ethnicity.
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Affiliation(s)
- Raquel Iniesta
- From the Department of Medical and Molecular Genetics (R.I., M.E.W., C.L.), King's College London, United Kingdom
| | | | - Cristina Venturini
- Department of Twin Research (C.V.), King's College London, United Kingdom
| | - Luca Faconti
- Department of Clinical Pharmacology, King's College London British Heart Foundation Centre, School of Cardiovascular Medicine and Sciences (L.F., P.C.), King's College London, United Kingdom
| | - Sonal Singh
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenetics, College of Pharmacy (R.M.C.-D., S.S., J.A.J.), University of Florida
| | | | - Rhonda M Cooper-DeHoff
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenetics, College of Pharmacy (R.M.C.-D., S.S., J.A.J.), University of Florida.,Division of Cardiovascular Medicine, College of Medicine (R.M.C.-D., J.A.J.), University of Florida
| | - Julie A Johnson
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenetics, College of Pharmacy (R.M.C.-D., S.S., J.A.J.), University of Florida
| | - Stephen T Turner
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN (S.T.T.)
| | - Donna K Arnett
- Department of Epidemiology, University of Kentucky College of Public Health (D.K.A)
| | - Michael E Weale
- From the Department of Medical and Molecular Genetics (R.I., M.E.W., C.L.), King's College London, United Kingdom
| | - Helen Warren
- Department of Clinical Pharmacology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry and Barts Cardiovascular Biomedical Research Center, Queen Mary University of London, United Kingdom (H.W., P.B.M)
| | - Patricia B Munroe
- Department of Clinical Pharmacology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry and Barts Cardiovascular Biomedical Research Center, Queen Mary University of London, United Kingdom (H.W., P.B.M)
| | - Kennedy Cruickshank
- Department of Nutrition and Dietetics (K.C.), King's College London, United Kingdom
| | - Sandosh Padmanabhan
- Division of Cardiovascular and Medical Sciences, University of Glasgow, United Kingdom (S.P.)
| | - Cathryn Lewis
- From the Department of Medical and Molecular Genetics (R.I., M.E.W., C.L.), King's College London, United Kingdom.,Department of Genetic Epidemiology and Statistics, Social, Genetic and Developmental Psychiatry Centre (C.L.), King's College London, United Kingdom
| | - Phil Chowienczyk
- Department of Clinical Pharmacology, King's College London British Heart Foundation Centre, School of Cardiovascular Medicine and Sciences (L.F., P.C.), King's College London, United Kingdom
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7
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Mehanna M, Wang Z, Gong Y, McDonough CW, Beitelshees AL, Gums JG, Chapman AB, Schwartz GL, Bailey KR, Johnson JA, Turner ST, Cooper-DeHoff RM. Plasma Renin Activity Is a Predictive Biomarker of Blood Pressure Response in European but not in African Americans With Uncomplicated Hypertension. Am J Hypertens 2019; 32:668-675. [PMID: 30753254 PMCID: PMC6558666 DOI: 10.1093/ajh/hpz022] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2018] [Revised: 01/04/2019] [Accepted: 02/06/2019] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Interindividual variability in blood pressure (BP) response to antihypertensives has been reported. Although plasma renin activity (PRA) is a potential biomarker for personalizing antihypertensive therapy in European American (EA) and African American (AA) hypertensives, clinical utility of PRA-guided prescribing is incompletely understood. METHODS Using systematic-phased approach, PRA's clinical utility was assessed. After categorizing by baseline PRA, clinic systolic BP (SBP) responses to metoprolol and chlorthalidone were compared in 134 EAs and 102 AAs enrolled in the Pharmacogenomics Evaluation of Antihypertensive Responses-2 (PEAR-2) trial. Receiver operating characteristic (ROC) analysis was conducted in EAs. Data from PEAR-2 AAs were used to estimate an optimal PRA cut point using multivariable linear regression models. The derived cut point in AAs was tested in a meta-analysis of 2 independent AA cohorts, and its sensitivity and specificity were assessed. RESULTS EAs with PRA < 0.65 ng/ml/hour had a greater decrease in SBP to chlorthalidone than metoprolol (by -15.9 mm Hg, adjusted P < 0.0001), whereas those with PRA ≥ 0.65 ng/ml/hour had a greater decrease in SBP to metoprolol than chlorthalidone (by 3.3 mm Hg, adjusted P = 0.04). Area under ROC curve (0.69, P = 0.0001) showed that PRA can predict SBP response among EAs. However, we observed no association between PRA and SBP response in PEAR-2 AAs. Among independent AA cohorts, those with PRA ≥ 1.3 ng/ml/hour (PEAR-2-derived cut point) responded better to atenolol/candesartan than hydrochlorothiazide (meta-analysis P = 0.01). However, sensitivity of the derived cut point was 10%. CONCLUSIONS PRA at the previously established 0.60-0.65 ng/ml/hour cut point is an effective predictive biomarker of BP response in EAs. However, we were unable to identify PRA cut point that could be used to guide antihypertensive selection in AAs. TRIAL REGISTRATION NCT01203852, NCT00246519, NCT00005520.
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Affiliation(s)
- Mai Mehanna
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics, College of Pharmacy, University of Florida, Gainesville, Florida, USA
| | - Zhiying Wang
- Human Genetics and Institute of Molecular Medicine, University of Texas Health Science Center, Houston, Texas, USA
| | - Yan Gong
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics, College of Pharmacy, University of Florida, Gainesville, Florida, USA
| | - Caitrin W McDonough
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics, College of Pharmacy, University of Florida, Gainesville, Florida, USA
| | | | - John G Gums
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics, College of Pharmacy, University of Florida, Gainesville, Florida, USA
| | - Arlene B Chapman
- Department of Medicine, University of Chicago, Chicago, Illinois, USA
| | - Gary L Schwartz
- Department of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota, USA
| | - Kent R Bailey
- Department of Statistics, Mayo Clinic, Rochester, Minnesota, USA
| | - Julie A Johnson
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics, College of Pharmacy, University of Florida, Gainesville, Florida, USA
| | - Stephen T Turner
- Department of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota, USA
| | - Rhonda M Cooper-DeHoff
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics, College of Pharmacy, University of Florida, Gainesville, Florida, USA
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McDonough CW, Magvanjav O, Sá ACC, El Rouby NM, Dave C, Deitchman AN, Kawaguchi-Suzuki M, Mei W, Shen Y, Singh RSP, Solayman M, Bailey KR, Boerwinkle E, Chapman AB, Gums JG, Webb A, Scherer SE, Sadee W, Turner ST, Cooper-DeHoff RM, Gong Y, Johnson JA. Genetic Variants Influencing Plasma Renin Activity in Hypertensive Patients From the PEAR Study (Pharmacogenomic Evaluation of Antihypertensive Responses). CIRCULATION-GENOMIC AND PRECISION MEDICINE 2019; 11:e001854. [PMID: 29650764 DOI: 10.1161/circgen.117.001854] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/16/2017] [Accepted: 02/26/2018] [Indexed: 12/22/2022]
Abstract
BACKGROUND Plasma renin is an important regulator of blood pressure (BP). Plasma renin activity (PRA) has been shown to correlate with variability in BP response to antihypertensive agents. We conducted a genome-wide association study to identify single-nucleotide polymorphisms (SNPs) associated with baseline PRA using data from the PEAR study (Pharmacogenomic Evaluation of Antihypertensive Responses). METHODS Multiple linear regression analysis was performed in 461 whites and 297 blacks using an additive model, adjusting for age, sex, and ancestry-specific principal components. Top SNPs were prioritized by testing the expected direction of association for BP response to atenolol and hydrochlorothiazide. Top regions from the BP response prioritization were tested for functional evidence through differences in gene expression by genotype using RNA sequencing data. Regions with functional evidence were assessed for replication with baseline PRA in an independent study (PEAR-2). RESULTS Our top SNP rs3784921 was in the SNN-TXNDC11 gene region. The G allele of rs3784921 was associated with higher baseline PRA (β=0.47; P=2.09×10-6) and smaller systolic BP reduction in response to hydrochlorothiazide (β=2.97; 1-sided P=0.006). In addition, TXNDC11 expression differed by rs3784921 genotype (P=0.007), and rs1802409, a proxy SNP for rs3784921 (r2=0.98-1.00), replicated in PEAR-2 (β=0.15; 1-sided P=0.038). Additional SNPs associated with baseline PRA that passed BP response prioritization were in/near the genes CHD9, XIRP2, and GHR. CONCLUSIONS: We identified multiple regions associated with baseline PRA that were prioritized through BP response signals to 2 mechanistically different antihypertensive drugs. CLINICAL TRIAL REGISTRATION URL: https://www.clinicaltrials.gov. Unique identifier: NCT00246519.
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Affiliation(s)
- Caitrin W McDonough
- Department of Pharmacotherapy and Translational Research, Center for Pharmacogenomics (C.W.M., O.M., A.C.C.S., N.M.E.R., M.K.-S., M.S., J.G.G., R.M.C.-D., Y.G., J.A.J.), Department of Pharmaceutical Outcomes and Policy (C.D.), Department of Pharmaceutics, College of Pharmacy (A.N.D., R.S.P.S.), Genetics & Genomics Graduate Program, Genetics Institute (A.C.C.S., Y.S.), Department of Biology, College of Liberal Arts and Sciences (W.M.), Department of Community Health and Family Medicine, College of Medicine (J.G.G.), and Division of Cardiovascular Medicine, Department of Medicine (R.M.C.-D., J.A.J.), University of Florida, Gainesville; School of Pharmacy, College of Health Professions, Pacific University, Hillsboro, OR (M.K.-S.); Department of Clinical Pharmacy, Faculty of Pharmacy, Ain Shams University, Cairo, Egypt (M.S.); Division of Biomedical Statistics and Informatics, Department of Health Sciences Research (K.R.B.) and Division of Nephrology and Hypertension, Department of Medicine (S.T.T.), Mayo Clinic, Rochester, MN; Human Genetics Center, Institute of Molecular Medicine, University of Texas Health Science Center, Houston (E.B.); Section of Nephrology, Department of Medicine, University of Chicago, IL (A.B.C.); Department of Biomedical Informatics, Center for Pharmacogenomics (A.W.) and Department of Cancer Biology and Genetics, College of Medicine (W.S.), Ohio State University, Columbus; and Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX (S.E.S.).
| | - Oyunbileg Magvanjav
- Department of Pharmacotherapy and Translational Research, Center for Pharmacogenomics (C.W.M., O.M., A.C.C.S., N.M.E.R., M.K.-S., M.S., J.G.G., R.M.C.-D., Y.G., J.A.J.), Department of Pharmaceutical Outcomes and Policy (C.D.), Department of Pharmaceutics, College of Pharmacy (A.N.D., R.S.P.S.), Genetics & Genomics Graduate Program, Genetics Institute (A.C.C.S., Y.S.), Department of Biology, College of Liberal Arts and Sciences (W.M.), Department of Community Health and Family Medicine, College of Medicine (J.G.G.), and Division of Cardiovascular Medicine, Department of Medicine (R.M.C.-D., J.A.J.), University of Florida, Gainesville; School of Pharmacy, College of Health Professions, Pacific University, Hillsboro, OR (M.K.-S.); Department of Clinical Pharmacy, Faculty of Pharmacy, Ain Shams University, Cairo, Egypt (M.S.); Division of Biomedical Statistics and Informatics, Department of Health Sciences Research (K.R.B.) and Division of Nephrology and Hypertension, Department of Medicine (S.T.T.), Mayo Clinic, Rochester, MN; Human Genetics Center, Institute of Molecular Medicine, University of Texas Health Science Center, Houston (E.B.); Section of Nephrology, Department of Medicine, University of Chicago, IL (A.B.C.); Department of Biomedical Informatics, Center for Pharmacogenomics (A.W.) and Department of Cancer Biology and Genetics, College of Medicine (W.S.), Ohio State University, Columbus; and Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX (S.E.S.)
| | - Ana C C Sá
- Department of Pharmacotherapy and Translational Research, Center for Pharmacogenomics (C.W.M., O.M., A.C.C.S., N.M.E.R., M.K.-S., M.S., J.G.G., R.M.C.-D., Y.G., J.A.J.), Department of Pharmaceutical Outcomes and Policy (C.D.), Department of Pharmaceutics, College of Pharmacy (A.N.D., R.S.P.S.), Genetics & Genomics Graduate Program, Genetics Institute (A.C.C.S., Y.S.), Department of Biology, College of Liberal Arts and Sciences (W.M.), Department of Community Health and Family Medicine, College of Medicine (J.G.G.), and Division of Cardiovascular Medicine, Department of Medicine (R.M.C.-D., J.A.J.), University of Florida, Gainesville; School of Pharmacy, College of Health Professions, Pacific University, Hillsboro, OR (M.K.-S.); Department of Clinical Pharmacy, Faculty of Pharmacy, Ain Shams University, Cairo, Egypt (M.S.); Division of Biomedical Statistics and Informatics, Department of Health Sciences Research (K.R.B.) and Division of Nephrology and Hypertension, Department of Medicine (S.T.T.), Mayo Clinic, Rochester, MN; Human Genetics Center, Institute of Molecular Medicine, University of Texas Health Science Center, Houston (E.B.); Section of Nephrology, Department of Medicine, University of Chicago, IL (A.B.C.); Department of Biomedical Informatics, Center for Pharmacogenomics (A.W.) and Department of Cancer Biology and Genetics, College of Medicine (W.S.), Ohio State University, Columbus; and Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX (S.E.S.)
| | - Nihal M El Rouby
- Department of Pharmacotherapy and Translational Research, Center for Pharmacogenomics (C.W.M., O.M., A.C.C.S., N.M.E.R., M.K.-S., M.S., J.G.G., R.M.C.-D., Y.G., J.A.J.), Department of Pharmaceutical Outcomes and Policy (C.D.), Department of Pharmaceutics, College of Pharmacy (A.N.D., R.S.P.S.), Genetics & Genomics Graduate Program, Genetics Institute (A.C.C.S., Y.S.), Department of Biology, College of Liberal Arts and Sciences (W.M.), Department of Community Health and Family Medicine, College of Medicine (J.G.G.), and Division of Cardiovascular Medicine, Department of Medicine (R.M.C.-D., J.A.J.), University of Florida, Gainesville; School of Pharmacy, College of Health Professions, Pacific University, Hillsboro, OR (M.K.-S.); Department of Clinical Pharmacy, Faculty of Pharmacy, Ain Shams University, Cairo, Egypt (M.S.); Division of Biomedical Statistics and Informatics, Department of Health Sciences Research (K.R.B.) and Division of Nephrology and Hypertension, Department of Medicine (S.T.T.), Mayo Clinic, Rochester, MN; Human Genetics Center, Institute of Molecular Medicine, University of Texas Health Science Center, Houston (E.B.); Section of Nephrology, Department of Medicine, University of Chicago, IL (A.B.C.); Department of Biomedical Informatics, Center for Pharmacogenomics (A.W.) and Department of Cancer Biology and Genetics, College of Medicine (W.S.), Ohio State University, Columbus; and Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX (S.E.S.)
| | - Chintan Dave
- Department of Pharmacotherapy and Translational Research, Center for Pharmacogenomics (C.W.M., O.M., A.C.C.S., N.M.E.R., M.K.-S., M.S., J.G.G., R.M.C.-D., Y.G., J.A.J.), Department of Pharmaceutical Outcomes and Policy (C.D.), Department of Pharmaceutics, College of Pharmacy (A.N.D., R.S.P.S.), Genetics & Genomics Graduate Program, Genetics Institute (A.C.C.S., Y.S.), Department of Biology, College of Liberal Arts and Sciences (W.M.), Department of Community Health and Family Medicine, College of Medicine (J.G.G.), and Division of Cardiovascular Medicine, Department of Medicine (R.M.C.-D., J.A.J.), University of Florida, Gainesville; School of Pharmacy, College of Health Professions, Pacific University, Hillsboro, OR (M.K.-S.); Department of Clinical Pharmacy, Faculty of Pharmacy, Ain Shams University, Cairo, Egypt (M.S.); Division of Biomedical Statistics and Informatics, Department of Health Sciences Research (K.R.B.) and Division of Nephrology and Hypertension, Department of Medicine (S.T.T.), Mayo Clinic, Rochester, MN; Human Genetics Center, Institute of Molecular Medicine, University of Texas Health Science Center, Houston (E.B.); Section of Nephrology, Department of Medicine, University of Chicago, IL (A.B.C.); Department of Biomedical Informatics, Center for Pharmacogenomics (A.W.) and Department of Cancer Biology and Genetics, College of Medicine (W.S.), Ohio State University, Columbus; and Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX (S.E.S.)
| | - Amelia N Deitchman
- Department of Pharmacotherapy and Translational Research, Center for Pharmacogenomics (C.W.M., O.M., A.C.C.S., N.M.E.R., M.K.-S., M.S., J.G.G., R.M.C.-D., Y.G., J.A.J.), Department of Pharmaceutical Outcomes and Policy (C.D.), Department of Pharmaceutics, College of Pharmacy (A.N.D., R.S.P.S.), Genetics & Genomics Graduate Program, Genetics Institute (A.C.C.S., Y.S.), Department of Biology, College of Liberal Arts and Sciences (W.M.), Department of Community Health and Family Medicine, College of Medicine (J.G.G.), and Division of Cardiovascular Medicine, Department of Medicine (R.M.C.-D., J.A.J.), University of Florida, Gainesville; School of Pharmacy, College of Health Professions, Pacific University, Hillsboro, OR (M.K.-S.); Department of Clinical Pharmacy, Faculty of Pharmacy, Ain Shams University, Cairo, Egypt (M.S.); Division of Biomedical Statistics and Informatics, Department of Health Sciences Research (K.R.B.) and Division of Nephrology and Hypertension, Department of Medicine (S.T.T.), Mayo Clinic, Rochester, MN; Human Genetics Center, Institute of Molecular Medicine, University of Texas Health Science Center, Houston (E.B.); Section of Nephrology, Department of Medicine, University of Chicago, IL (A.B.C.); Department of Biomedical Informatics, Center for Pharmacogenomics (A.W.) and Department of Cancer Biology and Genetics, College of Medicine (W.S.), Ohio State University, Columbus; and Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX (S.E.S.)
| | - Marina Kawaguchi-Suzuki
- Department of Pharmacotherapy and Translational Research, Center for Pharmacogenomics (C.W.M., O.M., A.C.C.S., N.M.E.R., M.K.-S., M.S., J.G.G., R.M.C.-D., Y.G., J.A.J.), Department of Pharmaceutical Outcomes and Policy (C.D.), Department of Pharmaceutics, College of Pharmacy (A.N.D., R.S.P.S.), Genetics & Genomics Graduate Program, Genetics Institute (A.C.C.S., Y.S.), Department of Biology, College of Liberal Arts and Sciences (W.M.), Department of Community Health and Family Medicine, College of Medicine (J.G.G.), and Division of Cardiovascular Medicine, Department of Medicine (R.M.C.-D., J.A.J.), University of Florida, Gainesville; School of Pharmacy, College of Health Professions, Pacific University, Hillsboro, OR (M.K.-S.); Department of Clinical Pharmacy, Faculty of Pharmacy, Ain Shams University, Cairo, Egypt (M.S.); Division of Biomedical Statistics and Informatics, Department of Health Sciences Research (K.R.B.) and Division of Nephrology and Hypertension, Department of Medicine (S.T.T.), Mayo Clinic, Rochester, MN; Human Genetics Center, Institute of Molecular Medicine, University of Texas Health Science Center, Houston (E.B.); Section of Nephrology, Department of Medicine, University of Chicago, IL (A.B.C.); Department of Biomedical Informatics, Center for Pharmacogenomics (A.W.) and Department of Cancer Biology and Genetics, College of Medicine (W.S.), Ohio State University, Columbus; and Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX (S.E.S.)
| | - Wenbin Mei
- Department of Pharmacotherapy and Translational Research, Center for Pharmacogenomics (C.W.M., O.M., A.C.C.S., N.M.E.R., M.K.-S., M.S., J.G.G., R.M.C.-D., Y.G., J.A.J.), Department of Pharmaceutical Outcomes and Policy (C.D.), Department of Pharmaceutics, College of Pharmacy (A.N.D., R.S.P.S.), Genetics & Genomics Graduate Program, Genetics Institute (A.C.C.S., Y.S.), Department of Biology, College of Liberal Arts and Sciences (W.M.), Department of Community Health and Family Medicine, College of Medicine (J.G.G.), and Division of Cardiovascular Medicine, Department of Medicine (R.M.C.-D., J.A.J.), University of Florida, Gainesville; School of Pharmacy, College of Health Professions, Pacific University, Hillsboro, OR (M.K.-S.); Department of Clinical Pharmacy, Faculty of Pharmacy, Ain Shams University, Cairo, Egypt (M.S.); Division of Biomedical Statistics and Informatics, Department of Health Sciences Research (K.R.B.) and Division of Nephrology and Hypertension, Department of Medicine (S.T.T.), Mayo Clinic, Rochester, MN; Human Genetics Center, Institute of Molecular Medicine, University of Texas Health Science Center, Houston (E.B.); Section of Nephrology, Department of Medicine, University of Chicago, IL (A.B.C.); Department of Biomedical Informatics, Center for Pharmacogenomics (A.W.) and Department of Cancer Biology and Genetics, College of Medicine (W.S.), Ohio State University, Columbus; and Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX (S.E.S.)
| | - Yong Shen
- Department of Pharmacotherapy and Translational Research, Center for Pharmacogenomics (C.W.M., O.M., A.C.C.S., N.M.E.R., M.K.-S., M.S., J.G.G., R.M.C.-D., Y.G., J.A.J.), Department of Pharmaceutical Outcomes and Policy (C.D.), Department of Pharmaceutics, College of Pharmacy (A.N.D., R.S.P.S.), Genetics & Genomics Graduate Program, Genetics Institute (A.C.C.S., Y.S.), Department of Biology, College of Liberal Arts and Sciences (W.M.), Department of Community Health and Family Medicine, College of Medicine (J.G.G.), and Division of Cardiovascular Medicine, Department of Medicine (R.M.C.-D., J.A.J.), University of Florida, Gainesville; School of Pharmacy, College of Health Professions, Pacific University, Hillsboro, OR (M.K.-S.); Department of Clinical Pharmacy, Faculty of Pharmacy, Ain Shams University, Cairo, Egypt (M.S.); Division of Biomedical Statistics and Informatics, Department of Health Sciences Research (K.R.B.) and Division of Nephrology and Hypertension, Department of Medicine (S.T.T.), Mayo Clinic, Rochester, MN; Human Genetics Center, Institute of Molecular Medicine, University of Texas Health Science Center, Houston (E.B.); Section of Nephrology, Department of Medicine, University of Chicago, IL (A.B.C.); Department of Biomedical Informatics, Center for Pharmacogenomics (A.W.) and Department of Cancer Biology and Genetics, College of Medicine (W.S.), Ohio State University, Columbus; and Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX (S.E.S.)
| | - Ravi Shankar Prasad Singh
- Department of Pharmacotherapy and Translational Research, Center for Pharmacogenomics (C.W.M., O.M., A.C.C.S., N.M.E.R., M.K.-S., M.S., J.G.G., R.M.C.-D., Y.G., J.A.J.), Department of Pharmaceutical Outcomes and Policy (C.D.), Department of Pharmaceutics, College of Pharmacy (A.N.D., R.S.P.S.), Genetics & Genomics Graduate Program, Genetics Institute (A.C.C.S., Y.S.), Department of Biology, College of Liberal Arts and Sciences (W.M.), Department of Community Health and Family Medicine, College of Medicine (J.G.G.), and Division of Cardiovascular Medicine, Department of Medicine (R.M.C.-D., J.A.J.), University of Florida, Gainesville; School of Pharmacy, College of Health Professions, Pacific University, Hillsboro, OR (M.K.-S.); Department of Clinical Pharmacy, Faculty of Pharmacy, Ain Shams University, Cairo, Egypt (M.S.); Division of Biomedical Statistics and Informatics, Department of Health Sciences Research (K.R.B.) and Division of Nephrology and Hypertension, Department of Medicine (S.T.T.), Mayo Clinic, Rochester, MN; Human Genetics Center, Institute of Molecular Medicine, University of Texas Health Science Center, Houston (E.B.); Section of Nephrology, Department of Medicine, University of Chicago, IL (A.B.C.); Department of Biomedical Informatics, Center for Pharmacogenomics (A.W.) and Department of Cancer Biology and Genetics, College of Medicine (W.S.), Ohio State University, Columbus; and Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX (S.E.S.)
| | - Mohamed Solayman
- Department of Pharmacotherapy and Translational Research, Center for Pharmacogenomics (C.W.M., O.M., A.C.C.S., N.M.E.R., M.K.-S., M.S., J.G.G., R.M.C.-D., Y.G., J.A.J.), Department of Pharmaceutical Outcomes and Policy (C.D.), Department of Pharmaceutics, College of Pharmacy (A.N.D., R.S.P.S.), Genetics & Genomics Graduate Program, Genetics Institute (A.C.C.S., Y.S.), Department of Biology, College of Liberal Arts and Sciences (W.M.), Department of Community Health and Family Medicine, College of Medicine (J.G.G.), and Division of Cardiovascular Medicine, Department of Medicine (R.M.C.-D., J.A.J.), University of Florida, Gainesville; School of Pharmacy, College of Health Professions, Pacific University, Hillsboro, OR (M.K.-S.); Department of Clinical Pharmacy, Faculty of Pharmacy, Ain Shams University, Cairo, Egypt (M.S.); Division of Biomedical Statistics and Informatics, Department of Health Sciences Research (K.R.B.) and Division of Nephrology and Hypertension, Department of Medicine (S.T.T.), Mayo Clinic, Rochester, MN; Human Genetics Center, Institute of Molecular Medicine, University of Texas Health Science Center, Houston (E.B.); Section of Nephrology, Department of Medicine, University of Chicago, IL (A.B.C.); Department of Biomedical Informatics, Center for Pharmacogenomics (A.W.) and Department of Cancer Biology and Genetics, College of Medicine (W.S.), Ohio State University, Columbus; and Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX (S.E.S.)
| | - Kent R Bailey
- Department of Pharmacotherapy and Translational Research, Center for Pharmacogenomics (C.W.M., O.M., A.C.C.S., N.M.E.R., M.K.-S., M.S., J.G.G., R.M.C.-D., Y.G., J.A.J.), Department of Pharmaceutical Outcomes and Policy (C.D.), Department of Pharmaceutics, College of Pharmacy (A.N.D., R.S.P.S.), Genetics & Genomics Graduate Program, Genetics Institute (A.C.C.S., Y.S.), Department of Biology, College of Liberal Arts and Sciences (W.M.), Department of Community Health and Family Medicine, College of Medicine (J.G.G.), and Division of Cardiovascular Medicine, Department of Medicine (R.M.C.-D., J.A.J.), University of Florida, Gainesville; School of Pharmacy, College of Health Professions, Pacific University, Hillsboro, OR (M.K.-S.); Department of Clinical Pharmacy, Faculty of Pharmacy, Ain Shams University, Cairo, Egypt (M.S.); Division of Biomedical Statistics and Informatics, Department of Health Sciences Research (K.R.B.) and Division of Nephrology and Hypertension, Department of Medicine (S.T.T.), Mayo Clinic, Rochester, MN; Human Genetics Center, Institute of Molecular Medicine, University of Texas Health Science Center, Houston (E.B.); Section of Nephrology, Department of Medicine, University of Chicago, IL (A.B.C.); Department of Biomedical Informatics, Center for Pharmacogenomics (A.W.) and Department of Cancer Biology and Genetics, College of Medicine (W.S.), Ohio State University, Columbus; and Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX (S.E.S.)
| | - Eric Boerwinkle
- Department of Pharmacotherapy and Translational Research, Center for Pharmacogenomics (C.W.M., O.M., A.C.C.S., N.M.E.R., M.K.-S., M.S., J.G.G., R.M.C.-D., Y.G., J.A.J.), Department of Pharmaceutical Outcomes and Policy (C.D.), Department of Pharmaceutics, College of Pharmacy (A.N.D., R.S.P.S.), Genetics & Genomics Graduate Program, Genetics Institute (A.C.C.S., Y.S.), Department of Biology, College of Liberal Arts and Sciences (W.M.), Department of Community Health and Family Medicine, College of Medicine (J.G.G.), and Division of Cardiovascular Medicine, Department of Medicine (R.M.C.-D., J.A.J.), University of Florida, Gainesville; School of Pharmacy, College of Health Professions, Pacific University, Hillsboro, OR (M.K.-S.); Department of Clinical Pharmacy, Faculty of Pharmacy, Ain Shams University, Cairo, Egypt (M.S.); Division of Biomedical Statistics and Informatics, Department of Health Sciences Research (K.R.B.) and Division of Nephrology and Hypertension, Department of Medicine (S.T.T.), Mayo Clinic, Rochester, MN; Human Genetics Center, Institute of Molecular Medicine, University of Texas Health Science Center, Houston (E.B.); Section of Nephrology, Department of Medicine, University of Chicago, IL (A.B.C.); Department of Biomedical Informatics, Center for Pharmacogenomics (A.W.) and Department of Cancer Biology and Genetics, College of Medicine (W.S.), Ohio State University, Columbus; and Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX (S.E.S.)
| | - Arlene B Chapman
- Department of Pharmacotherapy and Translational Research, Center for Pharmacogenomics (C.W.M., O.M., A.C.C.S., N.M.E.R., M.K.-S., M.S., J.G.G., R.M.C.-D., Y.G., J.A.J.), Department of Pharmaceutical Outcomes and Policy (C.D.), Department of Pharmaceutics, College of Pharmacy (A.N.D., R.S.P.S.), Genetics & Genomics Graduate Program, Genetics Institute (A.C.C.S., Y.S.), Department of Biology, College of Liberal Arts and Sciences (W.M.), Department of Community Health and Family Medicine, College of Medicine (J.G.G.), and Division of Cardiovascular Medicine, Department of Medicine (R.M.C.-D., J.A.J.), University of Florida, Gainesville; School of Pharmacy, College of Health Professions, Pacific University, Hillsboro, OR (M.K.-S.); Department of Clinical Pharmacy, Faculty of Pharmacy, Ain Shams University, Cairo, Egypt (M.S.); Division of Biomedical Statistics and Informatics, Department of Health Sciences Research (K.R.B.) and Division of Nephrology and Hypertension, Department of Medicine (S.T.T.), Mayo Clinic, Rochester, MN; Human Genetics Center, Institute of Molecular Medicine, University of Texas Health Science Center, Houston (E.B.); Section of Nephrology, Department of Medicine, University of Chicago, IL (A.B.C.); Department of Biomedical Informatics, Center for Pharmacogenomics (A.W.) and Department of Cancer Biology and Genetics, College of Medicine (W.S.), Ohio State University, Columbus; and Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX (S.E.S.)
| | - John G Gums
- Department of Pharmacotherapy and Translational Research, Center for Pharmacogenomics (C.W.M., O.M., A.C.C.S., N.M.E.R., M.K.-S., M.S., J.G.G., R.M.C.-D., Y.G., J.A.J.), Department of Pharmaceutical Outcomes and Policy (C.D.), Department of Pharmaceutics, College of Pharmacy (A.N.D., R.S.P.S.), Genetics & Genomics Graduate Program, Genetics Institute (A.C.C.S., Y.S.), Department of Biology, College of Liberal Arts and Sciences (W.M.), Department of Community Health and Family Medicine, College of Medicine (J.G.G.), and Division of Cardiovascular Medicine, Department of Medicine (R.M.C.-D., J.A.J.), University of Florida, Gainesville; School of Pharmacy, College of Health Professions, Pacific University, Hillsboro, OR (M.K.-S.); Department of Clinical Pharmacy, Faculty of Pharmacy, Ain Shams University, Cairo, Egypt (M.S.); Division of Biomedical Statistics and Informatics, Department of Health Sciences Research (K.R.B.) and Division of Nephrology and Hypertension, Department of Medicine (S.T.T.), Mayo Clinic, Rochester, MN; Human Genetics Center, Institute of Molecular Medicine, University of Texas Health Science Center, Houston (E.B.); Section of Nephrology, Department of Medicine, University of Chicago, IL (A.B.C.); Department of Biomedical Informatics, Center for Pharmacogenomics (A.W.) and Department of Cancer Biology and Genetics, College of Medicine (W.S.), Ohio State University, Columbus; and Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX (S.E.S.)
| | - Amy Webb
- Department of Pharmacotherapy and Translational Research, Center for Pharmacogenomics (C.W.M., O.M., A.C.C.S., N.M.E.R., M.K.-S., M.S., J.G.G., R.M.C.-D., Y.G., J.A.J.), Department of Pharmaceutical Outcomes and Policy (C.D.), Department of Pharmaceutics, College of Pharmacy (A.N.D., R.S.P.S.), Genetics & Genomics Graduate Program, Genetics Institute (A.C.C.S., Y.S.), Department of Biology, College of Liberal Arts and Sciences (W.M.), Department of Community Health and Family Medicine, College of Medicine (J.G.G.), and Division of Cardiovascular Medicine, Department of Medicine (R.M.C.-D., J.A.J.), University of Florida, Gainesville; School of Pharmacy, College of Health Professions, Pacific University, Hillsboro, OR (M.K.-S.); Department of Clinical Pharmacy, Faculty of Pharmacy, Ain Shams University, Cairo, Egypt (M.S.); Division of Biomedical Statistics and Informatics, Department of Health Sciences Research (K.R.B.) and Division of Nephrology and Hypertension, Department of Medicine (S.T.T.), Mayo Clinic, Rochester, MN; Human Genetics Center, Institute of Molecular Medicine, University of Texas Health Science Center, Houston (E.B.); Section of Nephrology, Department of Medicine, University of Chicago, IL (A.B.C.); Department of Biomedical Informatics, Center for Pharmacogenomics (A.W.) and Department of Cancer Biology and Genetics, College of Medicine (W.S.), Ohio State University, Columbus; and Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX (S.E.S.)
| | - Steven E Scherer
- Department of Pharmacotherapy and Translational Research, Center for Pharmacogenomics (C.W.M., O.M., A.C.C.S., N.M.E.R., M.K.-S., M.S., J.G.G., R.M.C.-D., Y.G., J.A.J.), Department of Pharmaceutical Outcomes and Policy (C.D.), Department of Pharmaceutics, College of Pharmacy (A.N.D., R.S.P.S.), Genetics & Genomics Graduate Program, Genetics Institute (A.C.C.S., Y.S.), Department of Biology, College of Liberal Arts and Sciences (W.M.), Department of Community Health and Family Medicine, College of Medicine (J.G.G.), and Division of Cardiovascular Medicine, Department of Medicine (R.M.C.-D., J.A.J.), University of Florida, Gainesville; School of Pharmacy, College of Health Professions, Pacific University, Hillsboro, OR (M.K.-S.); Department of Clinical Pharmacy, Faculty of Pharmacy, Ain Shams University, Cairo, Egypt (M.S.); Division of Biomedical Statistics and Informatics, Department of Health Sciences Research (K.R.B.) and Division of Nephrology and Hypertension, Department of Medicine (S.T.T.), Mayo Clinic, Rochester, MN; Human Genetics Center, Institute of Molecular Medicine, University of Texas Health Science Center, Houston (E.B.); Section of Nephrology, Department of Medicine, University of Chicago, IL (A.B.C.); Department of Biomedical Informatics, Center for Pharmacogenomics (A.W.) and Department of Cancer Biology and Genetics, College of Medicine (W.S.), Ohio State University, Columbus; and Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX (S.E.S.)
| | - Wolfgang Sadee
- Department of Pharmacotherapy and Translational Research, Center for Pharmacogenomics (C.W.M., O.M., A.C.C.S., N.M.E.R., M.K.-S., M.S., J.G.G., R.M.C.-D., Y.G., J.A.J.), Department of Pharmaceutical Outcomes and Policy (C.D.), Department of Pharmaceutics, College of Pharmacy (A.N.D., R.S.P.S.), Genetics & Genomics Graduate Program, Genetics Institute (A.C.C.S., Y.S.), Department of Biology, College of Liberal Arts and Sciences (W.M.), Department of Community Health and Family Medicine, College of Medicine (J.G.G.), and Division of Cardiovascular Medicine, Department of Medicine (R.M.C.-D., J.A.J.), University of Florida, Gainesville; School of Pharmacy, College of Health Professions, Pacific University, Hillsboro, OR (M.K.-S.); Department of Clinical Pharmacy, Faculty of Pharmacy, Ain Shams University, Cairo, Egypt (M.S.); Division of Biomedical Statistics and Informatics, Department of Health Sciences Research (K.R.B.) and Division of Nephrology and Hypertension, Department of Medicine (S.T.T.), Mayo Clinic, Rochester, MN; Human Genetics Center, Institute of Molecular Medicine, University of Texas Health Science Center, Houston (E.B.); Section of Nephrology, Department of Medicine, University of Chicago, IL (A.B.C.); Department of Biomedical Informatics, Center for Pharmacogenomics (A.W.) and Department of Cancer Biology and Genetics, College of Medicine (W.S.), Ohio State University, Columbus; and Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX (S.E.S.)
| | - Stephen T Turner
- Department of Pharmacotherapy and Translational Research, Center for Pharmacogenomics (C.W.M., O.M., A.C.C.S., N.M.E.R., M.K.-S., M.S., J.G.G., R.M.C.-D., Y.G., J.A.J.), Department of Pharmaceutical Outcomes and Policy (C.D.), Department of Pharmaceutics, College of Pharmacy (A.N.D., R.S.P.S.), Genetics & Genomics Graduate Program, Genetics Institute (A.C.C.S., Y.S.), Department of Biology, College of Liberal Arts and Sciences (W.M.), Department of Community Health and Family Medicine, College of Medicine (J.G.G.), and Division of Cardiovascular Medicine, Department of Medicine (R.M.C.-D., J.A.J.), University of Florida, Gainesville; School of Pharmacy, College of Health Professions, Pacific University, Hillsboro, OR (M.K.-S.); Department of Clinical Pharmacy, Faculty of Pharmacy, Ain Shams University, Cairo, Egypt (M.S.); Division of Biomedical Statistics and Informatics, Department of Health Sciences Research (K.R.B.) and Division of Nephrology and Hypertension, Department of Medicine (S.T.T.), Mayo Clinic, Rochester, MN; Human Genetics Center, Institute of Molecular Medicine, University of Texas Health Science Center, Houston (E.B.); Section of Nephrology, Department of Medicine, University of Chicago, IL (A.B.C.); Department of Biomedical Informatics, Center for Pharmacogenomics (A.W.) and Department of Cancer Biology and Genetics, College of Medicine (W.S.), Ohio State University, Columbus; and Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX (S.E.S.)
| | - Rhonda M Cooper-DeHoff
- Department of Pharmacotherapy and Translational Research, Center for Pharmacogenomics (C.W.M., O.M., A.C.C.S., N.M.E.R., M.K.-S., M.S., J.G.G., R.M.C.-D., Y.G., J.A.J.), Department of Pharmaceutical Outcomes and Policy (C.D.), Department of Pharmaceutics, College of Pharmacy (A.N.D., R.S.P.S.), Genetics & Genomics Graduate Program, Genetics Institute (A.C.C.S., Y.S.), Department of Biology, College of Liberal Arts and Sciences (W.M.), Department of Community Health and Family Medicine, College of Medicine (J.G.G.), and Division of Cardiovascular Medicine, Department of Medicine (R.M.C.-D., J.A.J.), University of Florida, Gainesville; School of Pharmacy, College of Health Professions, Pacific University, Hillsboro, OR (M.K.-S.); Department of Clinical Pharmacy, Faculty of Pharmacy, Ain Shams University, Cairo, Egypt (M.S.); Division of Biomedical Statistics and Informatics, Department of Health Sciences Research (K.R.B.) and Division of Nephrology and Hypertension, Department of Medicine (S.T.T.), Mayo Clinic, Rochester, MN; Human Genetics Center, Institute of Molecular Medicine, University of Texas Health Science Center, Houston (E.B.); Section of Nephrology, Department of Medicine, University of Chicago, IL (A.B.C.); Department of Biomedical Informatics, Center for Pharmacogenomics (A.W.) and Department of Cancer Biology and Genetics, College of Medicine (W.S.), Ohio State University, Columbus; and Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX (S.E.S.)
| | - Yan Gong
- Department of Pharmacotherapy and Translational Research, Center for Pharmacogenomics (C.W.M., O.M., A.C.C.S., N.M.E.R., M.K.-S., M.S., J.G.G., R.M.C.-D., Y.G., J.A.J.), Department of Pharmaceutical Outcomes and Policy (C.D.), Department of Pharmaceutics, College of Pharmacy (A.N.D., R.S.P.S.), Genetics & Genomics Graduate Program, Genetics Institute (A.C.C.S., Y.S.), Department of Biology, College of Liberal Arts and Sciences (W.M.), Department of Community Health and Family Medicine, College of Medicine (J.G.G.), and Division of Cardiovascular Medicine, Department of Medicine (R.M.C.-D., J.A.J.), University of Florida, Gainesville; School of Pharmacy, College of Health Professions, Pacific University, Hillsboro, OR (M.K.-S.); Department of Clinical Pharmacy, Faculty of Pharmacy, Ain Shams University, Cairo, Egypt (M.S.); Division of Biomedical Statistics and Informatics, Department of Health Sciences Research (K.R.B.) and Division of Nephrology and Hypertension, Department of Medicine (S.T.T.), Mayo Clinic, Rochester, MN; Human Genetics Center, Institute of Molecular Medicine, University of Texas Health Science Center, Houston (E.B.); Section of Nephrology, Department of Medicine, University of Chicago, IL (A.B.C.); Department of Biomedical Informatics, Center for Pharmacogenomics (A.W.) and Department of Cancer Biology and Genetics, College of Medicine (W.S.), Ohio State University, Columbus; and Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX (S.E.S.)
| | - Julie A Johnson
- Department of Pharmacotherapy and Translational Research, Center for Pharmacogenomics (C.W.M., O.M., A.C.C.S., N.M.E.R., M.K.-S., M.S., J.G.G., R.M.C.-D., Y.G., J.A.J.), Department of Pharmaceutical Outcomes and Policy (C.D.), Department of Pharmaceutics, College of Pharmacy (A.N.D., R.S.P.S.), Genetics & Genomics Graduate Program, Genetics Institute (A.C.C.S., Y.S.), Department of Biology, College of Liberal Arts and Sciences (W.M.), Department of Community Health and Family Medicine, College of Medicine (J.G.G.), and Division of Cardiovascular Medicine, Department of Medicine (R.M.C.-D., J.A.J.), University of Florida, Gainesville; School of Pharmacy, College of Health Professions, Pacific University, Hillsboro, OR (M.K.-S.); Department of Clinical Pharmacy, Faculty of Pharmacy, Ain Shams University, Cairo, Egypt (M.S.); Division of Biomedical Statistics and Informatics, Department of Health Sciences Research (K.R.B.) and Division of Nephrology and Hypertension, Department of Medicine (S.T.T.), Mayo Clinic, Rochester, MN; Human Genetics Center, Institute of Molecular Medicine, University of Texas Health Science Center, Houston (E.B.); Section of Nephrology, Department of Medicine, University of Chicago, IL (A.B.C.); Department of Biomedical Informatics, Center for Pharmacogenomics (A.W.) and Department of Cancer Biology and Genetics, College of Medicine (W.S.), Ohio State University, Columbus; and Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX (S.E.S.)
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9
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Kelley EF, Olson TP, Curry TB, Sprissler R, Snyder EM. The Effect of Genetically Guided Mathematical Prediction and the Blood Pressure Response to Pharmacotherapy in Hypertension Patients. Clin Med Insights Cardiol 2019; 13:1179546819845883. [PMID: 31105432 PMCID: PMC6501483 DOI: 10.1177/1179546819845883] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2018] [Accepted: 04/03/2019] [Indexed: 01/13/2023] Open
Abstract
Purpose: The purpose of this study was to determine the effectiveness of a simple algorithm to mathematically predict a patients’ response to blood pressure (BP) therapy using functional genes in the 3 major organ systems involved in hypertension. Methods: Eighty-six patients with controlled hypertension completed 1 study visit consisting of a buccal swab collection, measurement of office BP, and a medical chart review for BP history. Genes in the analysis included 14 functional alleles in 11 genes. These genotypes were mathematically summed per organ system to determine whether a patient would likely respond to target therapy. Results: Patients recommended to and taking a diuretic had significantly higher rates of control (<120/<80) than patients recommended but not taking this drug class (0.2 ± 0.1 and 0.03 ± 0.03, respectively). Furthermore, there was a difference between patients genetically recommended and taking an angiotensin receptor blocker (ARB) vs patients recommended but not taking an ARB for the lowest diastolic blood pressure (DBP) and mean arterial pressure (MAP) recorded in the past 2 years (DBP = 66.2 ± 2.9 and 75.3 ± 1.7, MAP = 82.3 ± 2.8 and 89.3 ± 1.5, respectively). In addition, there was a nonsignificant trend for greater reductions in ΔSBP, ΔDBP, and ΔMAP in patients on recommended drug class for beta-blockers, diuretics, and angiotensin II receptor blockers vs patients not on these classes. Conclusion: The present study suggests that simple mathematical weighting of functional genotypes known to control BP may be ineffective in predicting control. This study demonstrates the need for a more complex, weighted, multigene algorithm to more accurately predict BP therapy response.
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Affiliation(s)
- Eli F Kelley
- School of Kinesiology, University of Minnesota, Minneapolis, MN, USA
| | - Thomas P Olson
- Geneticure, Inc, Rochester, MN, USA.,College of Medicine and Science, Mayo Clinic, Rochester, MN, USA
| | - Timothy B Curry
- Geneticure, Inc, Rochester, MN, USA.,College of Medicine and Science, Mayo Clinic, Rochester, MN, USA
| | - Ryan Sprissler
- Geneticure, Inc, Rochester, MN, USA.,Department of Genetics, University of Arizona Genomics Core, Tucson, AZ, USA
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10
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Kelley EF, Snyder EM, Alkhatib NS, Snyder SC, Sprissler R, Olson TP, Akre MK, Abraham I. Economic evaluation of a pharmacogenomic multi-gene panel test to optimize anti-hypertension therapy: simulation study. J Med Econ 2018; 21:1246-1253. [PMID: 30280614 DOI: 10.1080/13696998.2018.1531011] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
AIMS Hypertension is the strongest modifiable risk factor for cardiovascular disease, affecting 80 million individuals in the US and responsible for ∼360,000 deaths, at total annual costs of $93.5 billion. Antihypertension therapies guided by single genotypes are clinically more effective and may avert more adverse events than the standard of care of layering anti-hypertensive drug therapies, thus potentially decreasing costs. This study aimed to determine the economic benefits of the implementation of multi-gene panel guided therapies for hypertension from the payer perspective within a 3-year time horizon. MATERIALS AND METHODS A simulation analysis was conducted for a panel of 10 million insured patients categorized clinically as untreated, treated but uncontrolled, and treated and controlled over a 3-year treatment period. Inputs included research data; empirical data from a 11-gene panel with known functional, heart, blood vessel, and kidney genotypes; and therapy efficacy and safety estimates from literature. Cost estimates were categorized as related to genetic testing, evaluation and management, medication, or adverse events. RESULTS Multi-gene panel guided therapy yielding savings of $6,256,607,500 for evaluation and management, $908,160,000 for medications, and $37,467,508,716 for adverse events, after accounting for incremental genetic testing costs of $2,355,540,000. This represents total 3-year savings of $42,276,736,216, or a 47% reduction, and 3-year savings of $4,228 and annual savings of $1,409 per covered patient. CONCLUSIONS A precision medicine approach to genetically guided therapy for hypertension patients using a multi-gene panel reduced total 3-year costs by 47%, yielding savings exceeding $42.3 billion in an insured panel of 10 million patients. Importantly, 89% of these savings are generated by averting specific adverse events and, thus, optimizing choice of therapy in function of both safety and efficacy.
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Affiliation(s)
- Eli F Kelley
- a University of Minnesota , Minneapolis , MN , USA
| | | | - Nimer S Alkhatib
- c University of Arizona, Center for Health Outcomes and Pharmaco Economic Research , Tucson , AZ , USA
| | | | - Ryan Sprissler
- b Geneticure, Inc. , Rochester , MN , USA
- d University of Arizona Genomics Core , Tucson , AZ , USA
- e University of Arizona, Center for Applied Genetics and Genomic Medicine , Tucson , AZ , USA
| | - Thomas P Olson
- f Mayo Clinic, College of Medicine , Rochester , MN , USA
| | | | - Ivo Abraham
- c University of Arizona, Center for Health Outcomes and Pharmaco Economic Research , Tucson , AZ , USA
- e University of Arizona, Center for Applied Genetics and Genomic Medicine , Tucson , AZ , USA
- g University of Arizona , Department of Family and Community Medicine , Tucson , AZ , USA
- h Matrix45 , Tucson , AZ , USA
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11
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Leete J, Layton AT. Sex-specific long-term blood pressure regulation: Modeling and analysis. Comput Biol Med 2018; 104:139-148. [PMID: 30472496 DOI: 10.1016/j.compbiomed.2018.11.002] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2018] [Revised: 11/01/2018] [Accepted: 11/03/2018] [Indexed: 01/17/2023]
Abstract
Hypertension is a global health challenge: it affects one billion people worldwide and is estimated to account for >60% of all cases or types of cardiovascular disease. In part because sex differences in blood pressure regulation mechanisms are not sufficiently well understood, fewer hypertensive women achieve blood pressure control compared to men, even though compliance and treatment rates are generally higher in women. Thus, the objective of this study is to identify which factors contribute to the sexual dimorphism in response to anti-hypertensive therapies targeting the renin angiotensin system (RAS). To accomplish that goal, we develop sex-specific blood pressure regulation models. Sex differences in the RAS, baseline adosterone level, and the reactivity of renal sympathetic nervous activity (RSNA) are represented. A novel aspect of the model is the representation of sex-specific vasodilatory effect of the bound angiotensin II type two receptor (AT2R-bound Ang II) on renal vascular resistance. Model simulations suggest that sex differences in RSNA are the largest cause of female resistance to developing hypertension due to the direct influence of RSNA on afferent arteriole resistance. Furthermore, the model predicts that the sex-specific vasodilatory effects of AT2R-bound Ang II on renal vascular resistance may explain the higher effectiveness of angiotensin receptor blockers in treating hypertensive women (but not men), compared to angiotensin converting enzyme inhibitors.
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Affiliation(s)
- Jessica Leete
- Computational Biology & Bioinformatics Program, Duke University, Durham, NC, USA.
| | - Anita T Layton
- Departments of Mathematics, Biomedical Engineering, and Medicine, Duke University, Durham, NC, USA; Department of Applied Mathematics and School of Pharmacy, University of Waterloo, Waterloo, Ontario, N2L 3G1, Canada
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12
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Mengesha HG, Welegerima AH, Hadgu A, Temesgen H, Otieno MG, Tsegay K, Fisseha T, Getachew S, Merha Z, Tewodros H, Dabessa J, Gebreegzabher B, Petrucka P. Comparative effectiveness of antihypertensive drugs prescribed in Ethiopian healthcare practice: A pilot prospective, randomized, open label study. PLoS One 2018; 13:e0203166. [PMID: 30204768 PMCID: PMC6133365 DOI: 10.1371/journal.pone.0203166] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2018] [Accepted: 08/15/2018] [Indexed: 01/13/2023] Open
Abstract
BACKGROUND Previous research has been highly suggestive that patients of African ancestry are less responsive to beta-blockers and angiotensin converting enzyme inhibitors. However, clinical practice within Ethiopia has continued to recommend all drugs for treatment of hypertension despite the lack of evidentiary support. Therefore this study aims to compare the effectiveness of the three major antihypertensive drugs currently prescribed in an Ethiopian health care setting to further the potential for evidence based prescribing practices. METHODS A prospective, randomized, open label comparative study was used to determine the mean reduction in blood pressure (primary outcome) and assess cardiovascular events (secondary outcomes) among patients receiving one or more of three common antihypertensive drugs (i.e., nifedipine, hydrochlorothiazide, and enalapril) in routine clinical practice between November 2016 and April 2017. Patients were followed for three months. Analysis was based on an intention-to-treat approach. One way analysis of covariance was used to compare the difference in therapeutic effectiveness in reducing blood pressure. RESULT A total of 141 patients were randomized to one of three recipient groups-nifedipine (n = 47), enalapril (n = 47) or hydrochlorothiazide (n = 47). Three months after randomization, 44 patients in each group completed the follow-up. Patients randomized to nifedipine had significantly higher mean reduction in systolic blood pressure than those randomized to enalapril(p = 0.003) or hydrochlorothiazide(p = 0.036). The mean reduction in systolic blood pressure was -37.35(CI:-40, -34.2) in the nifedipine group; -30.3(CI: -33.5, -27.1) in patients receiving enalapril; and -32.1(CI:-35, -29.3) in patients assigned hydrochlorothiazide. However, nifedipine did not have a significance difference in reduction of mean diastolic blood pressure compared than those receiving enalapril (p = 0.57) or hydrochlorthiazide (p = 0.99). CONCLUSION This study revealed that amongst the three drugs nifedipine was found to be the most effective drug in reduction of systolic blood pressure. Hydrochlorothiazide and enalapril did not show a difference in reduction of mean blood pressure. Further, long term randomized trials are highly recommended to inform revision of Ethiopia-centric hypertension treatment guidelines.
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Affiliation(s)
| | | | - Abera Hadgu
- Departement of Pharmacology and Toxicology, School of Pharmacy, Mekelle University, Mekelle, Ethiopia
| | - Haftom Temesgen
- School of Public Health, Mekelle University, Mekelle, Ethiopia
| | - Mala George Otieno
- College of Health Science, Department of Medical Biochemistry, Mekelle University, Mekelle, Ethiopia
| | - Kiflom Tsegay
- Adwa Hospital, Internal Medicine Unit, Adwa, Ethiopia
| | - Tedros Fisseha
- Adigrat Hospital, Internal Medicine Unit, Adigrat, Ethiopia
| | | | - Zekarias Merha
- Kidst Mariam Hospital, Internal Medicine Unit, Axum, Ethiopa
| | - Helen Tewodros
- Mekelle Hospital, Internal Medicine Unit, Mekelle, Ethiopia
| | - Jiksa Dabessa
- Ayder Referral Hospital, Internal Medicine Unit, Mekelle, Ethiopia
| | | | - Pammla Petrucka
- University of Saskatchewan, College of Nursing, Saskatchewan, Canada
- Adjunct Nelson Mandela African Institute of Science and Technology, Arusha, Tanzania
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13
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Eadon MT, Kanuri SH, Chapman AB. Pharmacogenomic studies of hypertension: paving the way for personalized antihypertensive treatment. EXPERT REVIEW OF PRECISION MEDICINE AND DRUG DEVELOPMENT 2018; 3:33-47. [PMID: 29888336 DOI: 10.1080/23808993.2018.1420419] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Introduction Increasing clinical evidence supports the implementation of genotyping for anti-hypertensive drug dosing and selection. Despite robust evidence gleaned from clinical trials, the translation of genotype guided therapy into clinical practice faces significant challenges. Challenges to implementation include the small effect size of individual variants and the polygenetic nature of antihypertensive drug response, a lack of expert consensus on dosing guidelines even without genetic information, and proper definition of major antihypertensive drug toxicities. Balancing clinical benefit with cost, while overcoming these challenges, remains crucial. Areas covered This review presents the most impactful clinical trials and cohorts which continue to inform and guide future investigation. Variants were selected from among those identified in the Pharmacogenomic Evaluation of Antihypertensive Responses (PEAR), the Genetic Epidemiology of Responses to Antihypertensives study (GERA), the Genetics of Drug Responsiveness in Essential Hypertension (GENRES) study, the SOPHIA study, the Milan Hypertension Pharmacogenomics of hydro-chlorothiazide (MIHYPHCTZ), the Campania Salute Network, the International Verapamil SR Trandolapril Study (INVEST), the Nordic Diltiazem (NORDIL) Study, GenHAT, and others. Expert Commentary The polygenic nature of antihypertensive drug response is a major barrier to clinical implementation. Further studies examining clinical effectiveness are required to support broad-based implementation of genotype-based prescribing in medical practice.
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Affiliation(s)
- Michael T Eadon
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Sri H Kanuri
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA
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14
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Furberg CD, Sealey JE, Blumenfeld JD. Unsuccessfully Treated Hypertension: A Major Public Health Problem With a Potential Solution. Am J Hypertens 2017; 30:857-860. [PMID: 28482060 DOI: 10.1093/ajh/hpx068] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2017] [Accepted: 04/13/2017] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND About one-half of all hypertensive adults do not have their blood pressure controlled. They are often prescribed medications that conform to national guidelines but they continue to have elevated blood pressure. This public health problem might be improved by applying plasma renin guided therapy. RESULTS A contributor to the public health problem of unsuccessfully treated hypertension is that the circulating renin-angiotensin system (RAS) is not recognized in treatment guidelines as clinically relevant for the treatment of hypertension or as important as the body salt status for determining blood pressure levels. Another contributor to the problem is the lack of specificity in the package inserts for antihypertensive drugs. They do not specifically state under the heading "Indications" that RAS blockers are primarily most effective in hypertensive subjects with medium and high plasma renin levels; by contrast, natriuretic drugs are most effective in those with low plasma renin levels. METHODS Literature review. CONCLUSIONS To address the problem of unsuccessfully treated hypertension, we recommend that the "Indications" section of package inserts for antihypertensive drugs be more specific. The primary indication for RAS blockers ought to be hypertension with medium and high plasma renin levels, and natriuretic agents for those with low plasma renin levels. Similar language ought to be added to treatment guidelines. Additionally, 3 other reasons for lack of blood pressure control also need to be addressed-failure to prescribe antihypertensive drugs to hypertensive subjects, failure of patients to fill prescriptions, and low drug adherence.
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Affiliation(s)
- Curt D Furberg
- Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Jean E Sealey
- Department of Medicine, Weill Cornell Medical College, New York, New York, USA
| | - Jon D Blumenfeld
- Department of Medicine, Weill Cornell Medical College, New York, New York, USA
- The Rogosin Institute, New York, New York, USA
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15
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Role of the endothelin system in sexual dimorphism in cardiovascular and renal diseases. Life Sci 2016; 159:20-29. [PMID: 26939577 DOI: 10.1016/j.lfs.2016.02.093] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2015] [Revised: 02/05/2016] [Accepted: 02/26/2016] [Indexed: 02/08/2023]
Abstract
Epidemiological studies of blood pressure in men and women and in experimental animal models point to substantial sex differences in the occurrence of arterial hypertension as well as in the various manifestations of arterial hypertension, including myocardial infarction, stroke, retinopathy, chronic kidney failure, as well as hypertension-associated diseases (e.g. diabetes mellitus). Increasing evidence demonstrates that the endothelin (ET) system is a major player in the genesis of sex differences in cardiovascular and renal physiology and diseases. Sex differences in the ET system have been described in the vasculature, heart and kidney of humans and experimental animals. In the current review, we briefly describe the role of the ET system in the cardiovascular and renal systems. We also update information on sex differences at different levels of the ET system including synthesis, circulating and tissue levels, receptors, signaling pathways, ET actions, and responses to antagonists in different organs that contribute to blood pressure regulation. Knowledge of the mechanisms underlying sex differences in arterial hypertension can impact therapeutic strategies. Sex-targeted and/or sex-tailored approaches may improve treatment of cardiovascular and renal diseases.
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16
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Sullivan JC, Rodriguez-Miguelez P, Zimmerman MA, Harris RA. Differences in angiotensin (1-7) between men and women. Am J Physiol Heart Circ Physiol 2015; 308:H1171-6. [PMID: 25659489 DOI: 10.1152/ajpheart.00897.2014] [Citation(s) in RCA: 51] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2014] [Accepted: 02/04/2015] [Indexed: 11/22/2022]
Abstract
UNLABELLED In experimental animal models of hypertension, angiotensin (1-7) [ANG-(1-7)] is higher in females compared with males; however, it is less clear whether the same applies to humans. Therefore, this study sought to compare circulating concentrations of ANG-(1-7) in apparently healthy men and women under normal physiological conditions. With the use of a cross-sectional experimental design, blood was collected in EDTA anticoagulant from 42 volunteers (21 men and 21 women; and age range, 19-48 yr) for analysis of plasma concentrations of ANG-(1-7) and ANG II. Blood pressure was measured and vascular endothelial function was determined (n = 25) using the brachial artery flow-mediated dilation (FMD) test. As a result, women exhibited a higher circulating concentration of ANG-(1-7) (P = 0.04) compared with men, whereas values of ANG II were similar between groups. Baseline arterial diameter, peak diameter, and shear rate were significantly greater (P < 0.02) in men compared with women. No significant differences in FMD, FMD normalized for shear, or time to peak dilation were observed between men and women. In addition, a positive correlation between ANG-(1-7) and FMD (P = 0.04) and negative association between ANG-(1-7) with ANG II (P = 0.01) were only identified in men, whereas a positive relationship between ANG-(1-7) and diastolic blood pressure (P = 0.03) was observed in women. IN CONCLUSION , women exhibit significantly higher plasma concentrations of ANG-(1-7) compared with men. In addition, this study describes a relationship between ANG-(1-7), vascular function, and diastolic blood pressure that appears to be sex dependent.
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Affiliation(s)
| | - Paula Rodriguez-Miguelez
- Division of Clinical Translational Science, Georgia Prevention Institute, Department of Pediatrics, Georgia Regents University, Augusta, Georgia; and
| | | | - Ryan A Harris
- Division of Clinical Translational Science, Georgia Prevention Institute, Department of Pediatrics, Georgia Regents University, Augusta, Georgia; and Sport and Exercise Science Research Institute, University of Ulster, Jordanstown, Northern Ireland, United Kingdom
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Hiltunen TP, Donner KM, Sarin A, Saarela J, Ripatti S, Chapman AB, Gums JG, Gong Y, Cooper‐DeHoff RM, Frau F, Glorioso V, Zaninello R, Salvi E, Glorioso N, Boerwinkle E, Turner ST, Johnson JA, Kontula KK. Pharmacogenomics of hypertension: a genome‐wide, placebo‐controlled cross‐over study, using four classes of antihypertensive drugs. J Am Heart Assoc 2015. [PMID: 25622599 PMCID: PMC4330076 DOI: 10.1161/jaha.114.001521] [Citation(s) in RCA: 56] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
BACKGROUND Identification of genetic markers of antihypertensive drug responses could assist in individualization of hypertension treatment. METHODS AND RESULTS We conducted a genome-wide association study to identify gene loci influencing the responsiveness of 228 male patients to 4 classes of antihypertensive drugs. The Genetics of Drug Responsiveness in Essential Hypertension (GENRES) study is a double-blind, placebo-controlled cross-over study where each subject received amlodipine, bisoprolol,hydrochlorothiazide, and losartan, each as a monotherapy, in a randomized order. Replication analyses were performed in 4 studies with patients of European ancestry (PEAR Study, N=386; GERA I and II Studies, N=196 and N=198; SOPHIA Study, N=372). We identified 3 single-nucleotide polymorphisms within the ACY3 gene that showed associations with bisoprolol response reaching genome-wide significance (P<5x10(-8))however, this could not be replicated in the PEAR Study using atenolol. In addition, 39 single-nucleotide polymorphisms showed P values of 10(-5) to 10(-7). The 20 top-associated single-nucleotide polymorphisms were different for each antihypertensive drug. None of these top single-nucleotide polymorphisms co-localized with the panel of >40 genes identified in genome-wide association studies of hypertension. Replication analyses of GENRES results provided suggestive evidence for a missense variant (rs3814995) in the NPHS1 (nephrin) gene influencing losartan response, and for 2 variants influencing hydrochlorothiazide response, located within or close to the ALDH1A3 (rs3825926) and CLIC5 (rs321329) genes. CONCLUSIONS These data provide some evidence for a link between biology of the glomerular protein nephrin and antihypertensive action of angiotensin receptor antagonists and encourage additional studies on aldehyde dehydrogenase–mediated reactions in antihypertensive drug action.
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Affiliation(s)
- Timo P. Hiltunen
- Department of Medicine, University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland (T.P.H., K.K.K.)
| | - Kati M. Donner
- Institute for Molecular Medicine Finland FIMM, University of Helsinki, Helsinki, Finland (K.M.D., A.P.S., J.S., S.R.)
| | - Antti‐Pekka Sarin
- Institute for Molecular Medicine Finland FIMM, University of Helsinki, Helsinki, Finland (K.M.D., A.P.S., J.S., S.R.)
- Public Health Genomics Unit, National Institute for Health and Welfare, University of Helsinki, Helsinki, Finland (A.P.S.)
| | - Janna Saarela
- Institute for Molecular Medicine Finland FIMM, University of Helsinki, Helsinki, Finland (K.M.D., A.P.S., J.S., S.R.)
| | - Samuli Ripatti
- Institute for Molecular Medicine Finland FIMM, University of Helsinki, Helsinki, Finland (K.M.D., A.P.S., J.S., S.R.)
- Department of Public Health, Hjelt Institute, University of Helsinki, Helsinki, Finland (S.R.)
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, United Kingdom (S.R.)
| | - Arlene B. Chapman
- Mayo Clinic, Rochester, MN (A.B.C.)
- Department of Medicine, Renal Division, Emory University School of Medicine, Atlanta, GA (A.B.C.)
| | - John G. Gums
- Department of Pharmacotherapy and Translational Research, Center for Pharmacogenomics, University of Florida, Gainesville, FL (J.G.G., Y.G., R.M.C.D.H., J.A.J.)
- Department of Community Health and Family Medicine, Gainesville, FL (J.G.G.)
| | - Yan Gong
- Department of Pharmacotherapy and Translational Research, Center for Pharmacogenomics, University of Florida, Gainesville, FL (J.G.G., Y.G., R.M.C.D.H., J.A.J.)
| | - Rhonda M. Cooper‐DeHoff
- Department of Pharmacotherapy and Translational Research, Center for Pharmacogenomics, University of Florida, Gainesville, FL (J.G.G., Y.G., R.M.C.D.H., J.A.J.)
- Department of Medicine, Gainesville, FL (R.M.C.D.H.)
| | - Francesca Frau
- Department of Health Sciences, Genomics and Bioinformatics Unit, University of Milan and Filarete Foundation, Milan, Italy (F.F., E.S.)
| | - Valeria Glorioso
- Hypertension and Related Disease Centre, AOU‐University of Sassari, Sassari, Italy (V.G., R.Z., N.G.)
| | - Roberta Zaninello
- Hypertension and Related Disease Centre, AOU‐University of Sassari, Sassari, Italy (V.G., R.Z., N.G.)
| | - Erika Salvi
- Department of Health Sciences, Genomics and Bioinformatics Unit, University of Milan and Filarete Foundation, Milan, Italy (F.F., E.S.)
| | - Nicola Glorioso
- Hypertension and Related Disease Centre, AOU‐University of Sassari, Sassari, Italy (V.G., R.Z., N.G.)
| | - Eric Boerwinkle
- University of Florida, Gainesville, FL (E.B.)
- Human Genetics and Institute of Molecular Medicine, University of Texas Health Science Center, Houston, TX (E.B.)
| | - Stephen T. Turner
- Division of Nephrology and Hypertension, Department of Internal Medicine, Mayo Clinic, Rochester, MN (S.T.T.)
| | - Julie A. Johnson
- Department of Pharmacotherapy and Translational Research, Center for Pharmacogenomics, University of Florida, Gainesville, FL (J.G.G., Y.G., R.M.C.D.H., J.A.J.)
| | - Kimmo K. Kontula
- Department of Medicine, University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland (T.P.H., K.K.K.)
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Keaney JF, Loscalzo J. Pharmacogenomics of hypertension: a genome‐wide, placebo‐controlled cross‐over study, using four classes of antihypertensive drugs. J Am Heart Assoc 2015; 4:e001778. [PMID: 25628411 PMCID: PMC4330084 DOI: 10.1161/jaha.115.001778] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
BACKGROUND Identification of genetic markers of antihypertensive drug responses could assist in individualization of hypertension treatment. METHODS AND RESULTS We conducted a genome-wide association study to identify gene loci influencing the responsiveness of 228 male patients to 4 classes of antihypertensive drugs. The Genetics of Drug Responsiveness in Essential Hypertension (GENRES) study is a double-blind, placebo-controlled cross-over study where each subject received amlodipine, bisoprolol,hydrochlorothiazide, and losartan, each as a monotherapy, in a randomized order. Replication analyses were performed in 4 studies with patients of European ancestry (PEAR Study, N=386; GERA I and II Studies, N=196 and N=198; SOPHIA Study, N=372). We identified 3 single-nucleotide polymorphisms within the ACY3 gene that showed associations with bisoprolol response reaching genome-wide significance (P<5x10(-8))however, this could not be replicated in the PEAR Study using atenolol. In addition, 39 single-nucleotide polymorphisms showed P values of 10(-5) to 10(-7). The 20 top-associated single-nucleotide polymorphisms were different for each antihypertensive drug. None of these top single-nucleotide polymorphisms co-localized with the panel of >40 genes identified in genome-wide association studies of hypertension. Replication analyses of GENRES results provided suggestive evidence for a missense variant (rs3814995) in the NPHS1 (nephrin) gene influencing losartan response, and for 2 variants influencing hydrochlorothiazide response, located within or close to the ALDH1A3 (rs3825926) and CLIC5 (rs321329) genes. CONCLUSIONS These data provide some evidence for a link between biology of the glomerular protein nephrin and antihypertensive action of angiotensin receptor antagonists and encourage additional studies on aldehyde dehydrogenase–mediated reactions in antihypertensive drug action.
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Affiliation(s)
- John F. Keaney
- UMass Medical School and UMass Memorial Medical Center, Worcester, MA (J.F.K.)
| | - Joseph Loscalzo
- Harvard Medical School and Brigham and Women's Hospital, Boston, MA (J.L.)
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Messerli FH, Bangalore S, Schmieder RE. Wilder's principle: pre-treatment value determines post-treatment response. Eur Heart J 2014; 36:576-9. [PMID: 25540187 DOI: 10.1093/eurheartj/ehu467] [Citation(s) in RCA: 54] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Affiliation(s)
- Franz H Messerli
- Division of Cardiology, Mt. Sinai, Icahn School of Medicine, New York, NY, USA
| | - Sripal Bangalore
- Leon H. Charney Division of Cardiology, New York University School of Medicine, New York, USA
| | - Roland E Schmieder
- Department of Nephrology and Hypertension, University Hospital of Erlangen, Erlangen, Germany
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20
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An update on the pharmacogenetics of treating hypertension. J Hum Hypertens 2014; 29:283-91. [PMID: 25355012 DOI: 10.1038/jhh.2014.76] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2014] [Revised: 06/24/2014] [Accepted: 07/10/2014] [Indexed: 02/08/2023]
Abstract
Hypertension is a leading cause of cardiovascular mortality, but only one third of patients achieve blood pressure goals despite antihypertensive therapy. Genetic polymorphisms may partially account for the interindividual variability and abnormal response to antihypertensive drugs. Candidate gene and genome-wide approaches have identified common genetic variants associated with response to antihypertensive drugs. However, there is no currently available pharmacogenetic test to guide hypertension treatment in clinical practice. In this review, we aimed to summarize the recent findings on pharmacogenetics of the most commonly used antihypertensive drugs in clinical practice, including diuretics, angiotensin-converting enzyme inhibitors and angiotensin II receptor blockers, beta-blockers and calcium channel blockers. Notably, only a small percentage of the genetic variability on response to antihypertensive drugs has been explained, and the vast majority of the genetic variants associated with antihypertensives efficacy and toxicity remains to be identified. Despite some genetic variants with evidence of association with the variable response related to these most commonly used antihypertensive drug classes, further replication is needed to confirm these associations in different populations. Further studies on epigenetics and regulatory pathways involved in the responsiveness to antihypertensive drugs might provide a deeper understanding of the physiology of hypertension, which may favor the identification of new targets for hypertension treatment and genetic predictors of antihypertensive response.
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Zimmerman MA, Harris RA, Sullivan JC. Female spontaneously hypertensive rats are more dependent on ANG (1-7) to mediate effects of low-dose AT1 receptor blockade than males. Am J Physiol Renal Physiol 2014; 306:F1136-42. [PMID: 24647710 DOI: 10.1152/ajprenal.00677.2013] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
ANG (1-7) contributes to the blood pressure (BP)-lowering effect of angiotensin receptor blockers (ARBs) in male experimental animals. Females have greater ANG (1-7) concentrations than males; however, the contribution of ANG (1-7) to ARB-mediated decreases in BP in females is unknown. The current study tested the hypothesis that female spontaneously hypertensive rats (SHR) have a larger ANG (1-7) contribution to the BP-lowering effects of the ARB candesartan than male SHR. Twelve-week-old male and female SHR were randomized to receive candesartan (0.5 mg·kg(-1)·day(-1); 7 days), candesartan plus ANG II (200 ng·kg(-1)·min(-1); 7 days), the ANG (1-7) antagonist A-779 (48 μg·kg(-1)·h(-1)) plus candesartan and ANG II. Candesartan decreased basal BP in males and females (baseline vs. candesartan: 142 ± 2 vs. 122 ± 3 and 129 ± 1 vs. 115 ± 1 mmHg, respectively; P < 0.05); however, the decrease was greater in males. ANG II increased BP in males in the presence of candesartan (149 ± 2 mmHg; P < 0.05); candesartan blocked ANG II-induced increases in BP in females (116 ± 1 mmHg). Pretreatment with A-779 abolished candesartan-mediated decreases in BP in females, but not males. A-779 also exacerbated ANG II-induced proteinuria (26 ± 6 vs. 77 ± 11 μg·kg(-1)·day(-1), respectively; P < 0.05) and nephrinuria (20 ± 5 vs. 202 ± 58 μg·kg(-1)·day(-1), respectively; P < 0.05) in candesartan-treated female SHR, with no effect in males. In conclusion, females are more sensitive to the BP-lowering effect of ARBs during ANG II infusion, whereas males are more sensitive under basal conditions. In addition, ANG (1-7) has a greater contribution to ARB-mediated decreases in BP, protein, and nephrin excretion in females relative to males.
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Affiliation(s)
| | - Ryan A Harris
- Georgia Prevention Center, Georgia Regents University, Augusta, Georgia; and Sport and Exercise Science Research Institute, University of Ulster, Northern Ireland, United Kingdom
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Abstract
Hypertension is a complex and multifaceted disease, and there are well established sex differences in many aspects of blood pressure (BP) control. The intent of this review is to highlight recent work examining sex differences in the molecular mechanisms of BP control in hypertension to assess whether the "one-size-fits-all" approach to BP control is appropriate with regard to sex.
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Schwartz GL, Bailey K, Chapman AB, Boerwinkle E, Turner ST. The role of plasma renin activity, age, and race in selecting effective initial drug therapy for hypertension. Am J Hypertens 2013; 26:957-64. [PMID: 23591988 DOI: 10.1093/ajh/hpt047] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023] Open
Abstract
BACKGROUND Strategies for initial drug therapy of hypertension are a thiazide diuretic for all or drug selection based on age/race criteria or on plasma renin activity (PRA). It is uncertain which of these strategies will achieve the highest control rate among patients with stage 1 essential hypertension. We sought to compare control rates among 3 drug selection strategies: (i) thiazide diuretic for all, (ii) thiazide diuretic for all black subjects and white subjects aged ≥50 years and a renin-angiotensin system blocker for white subjects aged <50 years, or (iii) thiazide diuretic for PRA < 0.6ng/ml/h (suppressed PRA) and a renin-angiotensin system blocker for PRA ≥ 0.6ng/ml/h (nonsuppressed PRA). METHODS Blood pressure responses from the Genetic Epidemiology of Responses to Antihypertensives (GERA) study were used to determine control rates for each of the 3 strategies. In GERA, hypertensive adults were treated with hydrochlorothiazide (n = 286 black subjects and 284 white subjects) or with candesartan (n = 248 black subjects and 278 white subjects). RESULTS In the overall sample, the PRA strategy was associated with the highest control rate of 69.4% vs. 61.3% with the age/race strategy (P < 0.001) and 53.8% with the thiazide for all strategy (P < 0.001). This was also true in each racial subgroup (in black subjects: 62.1% vs. 55.2% for the other 2 strategies, P = 0.02; in white subjects: 76.3% vs. 67.1% with the age/race strategy (P < 0.001) and 52.4% with the thiazide for all strategy (P < 0.001)). CONCLUSIONS This exploratory analysis suggests that choice of initial therapy for hypertension using a PRA strategy may be associated with higher control rates than alternative strategies recommended in current guidelines.
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Affiliation(s)
- Gary L Schwartz
- Division of Nephrology and Hypertension, Department of Internal Medicine, College of Medicine, Mayo Clinic, Rochester, MN ,USA.
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Brewster LM, Seedat YK. Why do hypertensive patients of African ancestry respond better to calcium blockers and diuretics than to ACE inhibitors and β-adrenergic blockers? A systematic review. BMC Med 2013; 11:141. [PMID: 23721258 PMCID: PMC3681568 DOI: 10.1186/1741-7015-11-141] [Citation(s) in RCA: 102] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2012] [Accepted: 04/17/2013] [Indexed: 01/13/2023] Open
Abstract
BACKGROUND Clinicians are encouraged to take an individualized approach when treating hypertension in patients of African ancestry, but little is known about why the individual patient may respond well to calcium blockers and diuretics, but generally has an attenuated response to drugs inhibiting the renin-angiotensin system and to β-adrenergic blockers. Therefore, we systematically reviewed the factors associated with the differential drug response of patients of African ancestry to antihypertensive drug therapy. METHODS Using the methodology of the systematic reviews narrative synthesis approach, we sought for published or unpublished studies that could explain the differential clinical efficacy of antihypertensive drugs in patients of African ancestry. PUBMED, EMBASE, LILACS, African Index Medicus and the Food and Drug Administration and European Medicines Agency databases were searched without language restriction from their inception through June 2012. RESULTS We retrieved 3,763 papers, and included 72 reports that mainly considered the 4 major classes of antihypertensive drugs, calcium blockers, diuretics, drugs that interfere with the renin-angiotensin system and β-adrenergic blockers. Pharmacokinetics, plasma renin and genetic polymorphisms did not well predict the response of patients of African ancestry to antihypertensive drugs. An emerging view that low nitric oxide and high creatine kinase may explain individual responses to antihypertensive drugs unites previous observations, but currently clinical data are very limited. CONCLUSION Available data are inconclusive regarding why patients of African ancestry display the typical response to antihypertensive drugs. In lieu of biochemical or pharmacogenomic parameters, self-defined African ancestry seems the best available predictor of individual responses to antihypertensive drugs.
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Affiliation(s)
- Lizzy M Brewster
- Departments of Internal and Vascular Medicine, F4-222, Academic Medical Center, Meibergdreef 9, Amsterdam, AZ, 1105, The Netherlands.
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Impact of genetic polymorphisms of SLC2A2, SLC2A5, and KHK on metabolic phenotypes in hypertensive individuals. PLoS One 2013; 8:e52062. [PMID: 23341889 PMCID: PMC3544854 DOI: 10.1371/journal.pone.0052062] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2012] [Accepted: 11/08/2012] [Indexed: 11/23/2022] Open
Abstract
Objective In the past few decades, consumption of added sugars has increased dramatically. Studies have linked high sugar intake with increased risk for a number of diseases. Importantly, fructose, a component of sugar, has been linked with the development of features of metabolic syndrome. This study determined if single nucleotide polymorphisms in genes involved in fructose transport (solute carrier family 2 facilitated glucose transporter, member 2 (SLC2A2) and solute carrier family 2 facilitated glucose/fructose transporter, member 5 (SLC2A5)) and metabolism (ketohexokinase (KHK)) affect inter-individual variability in metabolic phenotypes, such as increased serum uric acid levels. Materials/Methods The influence of SLC2A2, SLC2A5, and KHK SNPs on metabolic phenotypes was tested in 237 European Americans and 167 African Americans from the Pharmacogenomic Evaluation and Antihypertensive Responses (PEAR) study. Using baseline untreated fasting data, associations were considered significant if p≤0.005. These SNPs were then evaluated for potential replication (p≤0.05) using data from the Genetic Epidemiology of Responses to Antihypertensives (GERA) studies. Results SLC2A5 rs5438 was associated with an increase in serum uric acid in European American males. However, we were unable to replicate the association in GERA. The minor allele of SLC2A2 rs8192675 showed an association with lower high-density lipoproteins in European Americans (A/A: 51.0 mg/dL, A/G: 47.0 mg/dL, G/G: 41.5 mg/dL, p = 0.0034) in PEAR. The association between rs8192675 and lower high-density lipoproteins was replicated in the combined European American GERA study samples (A/A: 47.6 mg/dL, A/G: 48.6 mg/dL, G/G: 41.9 mg/dL, p = 0.0315). Conclusions The association between SLC2A2 rs8192675 and high-density lipoproteins suggests the polymorphism may play a role in influencing high-density lipoproteins and thus metabolic risk of cardiovascular disease.
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Volpe M, Unger T. Plasma Renin and Cardiovascular Risk: What Is the Evidence for an Association. Cardiology 2013; 125:50-9. [DOI: 10.1159/000348365] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2012] [Accepted: 01/18/2013] [Indexed: 11/19/2022]
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Turner ST, Bailey KR, Schwartz GL, Chapman AB, Chai HS, Boerwinkle E. Genomic association analysis identifies multiple loci influencing antihypertensive response to an angiotensin II receptor blocker. Hypertension 2012; 59:1204-11. [PMID: 22566498 DOI: 10.1161/hyp.0b013e31825b30f8] [Citation(s) in RCA: 52] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
To identify genes influencing blood pressure response to an angiotensin II receptor blocker, single nucleotide polymorphisms identified by genome-wide association analysis of the response to candesartan were validated by opposite direction associations with the response to a thiazide diuretic, hydrochlorothiazide. We sampled 198 white and 193 blacks with primary hypertension from opposite tertiles of the race-sex-specific distributions of age-adjusted diastolic blood pressure response to candesartan. There were 285 polymorphisms associated with the response to candesartan at P<10(-4) in whites. A total of 273 of the 285 polymorphisms, which were available for analysis in a separate sample of 196 whites, validated for opposite direction associations with the response to hydrochlorothiazide (Fisher χ(2) 1-sided P=0.02). Among the 273 polymorphisms, those in the chromosome 11q21 region were the most significantly associated with response to candesartan in whites (eg, rs11020821 near FUT4, P=8.98 × 10(-7)), had the strongest opposite direction associations with response to hydrochlorothiazide (eg, rs3758785 in GPR83, P=7.10 × 10(-3)), and had the same direction associations with response to candesartan in the 193 blacks (eg, rs16924603 near FUT4, P=1.52 × 10(-2)). Also notable among the 273 polymorphisms was rs11649420 on chromosome 16 in the amiloride-sensitive sodium channel subunit SCNN1G involved in mediating renal sodium reabsorption and maintaining blood pressure when the renin-angiotensin system is inhibited by candesartan. These results support the use of genomewide association analyses to identify novel genes predictive of opposite direction associations with blood pressure responses to inhibitors of the renin-angiotensin and renal sodium transport systems.
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Affiliation(s)
- Stephen T Turner
- Division of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, College of Medicine, Rochester, MN 55905, USA.
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Turner ST, Schwartz GL, Chapman AB, Beitelshees AL, Gums JG, Cooper-Dehoff RM, Boerwinkle E, Johnson JA, Bailey KR. Power to identify a genetic predictor of antihypertensive drug response using different methods to measure blood pressure response. J Transl Med 2012; 10:47. [PMID: 22413836 PMCID: PMC3342146 DOI: 10.1186/1479-5876-10-47] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2011] [Accepted: 03/13/2012] [Indexed: 01/11/2023] Open
Abstract
BACKGROUND To determine whether office, home, ambulatory daytime and nighttime blood pressure (BP) responses to antihypertensive drug therapy measure the same signal and which method provides greatest power to identify genetic predictors of BP response. METHODS We analyzed office, home, ambulatory daytime and nighttime BP responses in hypertensive adults randomized to atenolol (N = 242) or hydrochlorothiazide (N = 257) in the Pharmacogenomic Evaluation of Antihypertensive Responses Study. Since different measured BP responses may have different predictors, we tested the "same signal" model by using linear regression methods to determine whether known predictors of BP response depend on the method of BP measurement. We estimated signal-to-noise ratios and compared power to identify a genetic polymorphism predicting BP response measured by each method separately and by weighted averages of multiple methods. RESULTS After adjustment for pretreatment BP level, known predictors of BP response including plasma renin activity, race, and sex were independent of the method of BP measurement. Signal-to-noise ratios were more than 2-fold greater for home and ambulatory daytime BP responses than for office and ambulatory nighttime BP responses and up to 11-fold greater for weighted averages of all four methods. Power to identify a genetic polymorphism predicting BP response was directly related to the signal-to-noise ratio and, therefore, greatest with the weighted averages. CONCLUSION Since different methods of measuring BP response to antihypertensive drug therapy measure the same signal, weighted averages of the BP responses measured by multiple methods minimize measurement error and optimize power to identify genetic predictors of BP response.
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Affiliation(s)
- Stephen T Turner
- Division of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN 55905, USA.
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Plasma renin activity (PRA) levels and antihypertensive drug use in a large healthcare system. Am J Hypertens 2012; 25:379-88. [PMID: 22158065 DOI: 10.1038/ajh.2011.216] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Although hypertension guidelines have utility in treating uncomplicated hypertension, they often overlook the pathophysiologic basis and heterogeneity of hypertension. This may explain the relatively poor hypertension control rates. A proposed approach is to guide addition and subtraction of medications using ambulatory plasma renin activity (PRA) values. To evaluate the heterogeneity of hypertension and the medication burden associated with it, we investigated medication usage in relation to PRA among hypertensive patients within a large ethnically diverse organization. METHODS A cross sectional data analysis was performed of hypertensive subjects with PRA measurements in the Kaiser Permanente Southern California database between 1 January 1998 and 31 October 2009. RESULTS Among 7,887 such patients 0, 1, 2, ≥3 medication usage was 16%, 20%, 24%, 40% respectively. PRA levels ranged 1000-fold. Across PRA quartiles (Q1 to Q4) ≥3 meds were prescribed to 50%, 40%, 34%, 37%. From low to high PRA quartiles there was no usage trend for angiotensin converting enzyme inhibitors (ACEIs)/ angiotensin receptor blockers (ARBs) (71%), but diuretics increased (52%, 53%, 57%, 68%), calcium channel blocker's (CCB) fell (56%, 53%, 51%, 42%), and β-blockers fell (77%, 61%, 49%, 41%). Moreover, systolic BP fell (146, 142, 140, 135 mm Hg), blood urea nitrogen (BUN) rose (16, 17, 18, 20 mg/dl), serum uric acid rose (6.1, 6.3, 6.5, 6.9 mg/dl), and chronic kidney disease rose (22%, 22%, 23%, 27%). CONCLUSIONS Polytherapy was the norm for treating hypertension. Lower PRAs were associated with higher blood pressures and more medications. Higher PRAs were associated with lower pressures and fewer medications. The results indicate that opportunities exist to simplify antihypertensive therapy by using current ambulatory PRA levels to guide drug selections and subtractions.
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Weintraub HS, Duprez DA, Cushman WC, Zappe DH, Purkayastha D, Samuel R, Izzo JL. Antihypertensive Response to Thiazide Diuretic or Angiotensin Receptor Blocker in Elderly Hypertensives Is Not Influenced by Pretreatment Plasma Renin Activity. Cardiovasc Drugs Ther 2012; 26:145-55. [DOI: 10.1007/s10557-011-6365-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Laragh JH, Sealey JE. The plasma renin test reveals the contribution of body sodium-volume content (V) and renin-angiotensin (R) vasoconstriction to long-term blood pressure. Am J Hypertens 2011; 24:1164-80. [PMID: 21938070 DOI: 10.1038/ajh.2011.171] [Citation(s) in RCA: 99] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Body sodium works together with the plasma renin-angiotensin system to ensure adequate blood flow to the tissues. Body sodium content determines the extracellular fluid (ECF) volume ensuring that, with each heart beat, a sufficient volume of fluid is delivered into the arterial space. At the same time the kidneys monitor ECF volume and blood pressure (BP), so that the juxtaglomerular cells can adjust their net secretion rate of renin to maintain an appropriate plasma renin activity (PRA) level. Plasma renin produces angiotensin II (Ang II) to constrict the arterioles and thereby ensure sufficient BP to deliver an appropriate rate of flow for cardiovascular homeostasis. The low renin, sodium-volume dependent (V) form of essential hypertension occurs whenever body sodium content increases beyond the point where plasma renin-angiotensin vasoconstrictor activity is turned off. In contrast, medium to high renin (R) hypertension occurs when too much renin is secreted relative to the body sodium content. Thus, BP = V × R. This volume-vasoconstriction dual support of long-term hypertension is validated by the fact that all effective long-term antihypertensive drug types are either (i) natriuretic to reduce body salt and volume content (anti-V), or (ii) antirenin to reduce or block the activity of the circulating renin-angiotensin system (anti-R). The PRA test defines the relative participation of the concurrent volume and vasoconstrictor factors. In the hypertensive patient PRA testing can guide initiation, addition or subtraction of anti-V or anti-R antihypertensive drug types to thereby improve BP control and prognosis while reducing drug type usage and cost.
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Abstract
Cardiovascular disease is the leading cause of morbidity and mortality in postmenopausal women. Hypertension is a major risk factor for cardiovascular disease. The mechanisms responsible for postmenopausal hypertension have not been completely elucidated. However, various mechanisms have been implicated to play a role. For example, there is evidence that changes in estrogen/androgen ratios favoring increases in androgens, activation of the renin-angiotensin and endothelin systems, activation of the sympathetic nervous system, metabolic syndrome and obesity, inflammation, increased vasoconstrictor eicosanoids, and anxiety and depression may be important in the pathogenesis of postmenopausal hypertension. There is also evidence that hypertension is less well controlled in aging women than in aging men, but the reasons for this gender difference is not clear. Postmenopausal hypertension is likely multifactorial. Future studies will be necessary to determine the contribution of these systems listed above in mediating postmenopausal hypertension and to design treatment strategies that encompass these mechanisms to improve the quality of life of postmenopausal women as they age.
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Alderman MH, Cohen HW, Sealey JE, Laragh JH. Pressor responses to antihypertensive drug types. Am J Hypertens 2010; 23:1031-7. [PMID: 20725055 DOI: 10.1038/ajh.2010.114] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023] Open
Abstract
BACKGROUND Pressor responses to antihypertensive drugs are not addressed in treatment guidelines although they have been described in various clinical situations. We now report the incidence of pressor responses to initiation of monotherapy using four antihypertensive drug types, and the influence of plasma renin activity (PRA) status, among participants in a worksite-based antihypertensive treatment program. METHODS Systolic blood pressure (SBP) response was evaluated among 945 participants with no prior treatment who were given either a diuretic or calcium-channel blocker (natriuretic antivolume V drugs, n = 537) or a beta-blocker or angiotensin-converting enzyme (ACE) inhibitor (antirenin R drugs n = 408). PRA was categorized by low, middle, and high tertiles (L, M, and H). SBP rise > or =10 mm Hg was considered pressor. RESULTS More pressor responses occurred with R than V drugs (11% vs. 5%, P = 0.001). L, M, and H renin tertiles had similar frequencies with V drugs (6, 4, and 6%), but low and middle tertiles given R had greater pressor frequencies (17% P = 0.003 vs. V and 10% P = 0.02 vs. V). Treatment SBP > or =160 mm Hg occurred more frequently with R than V drugs (19% vs. 13%; P = 0.007); moreover, in the lowest renin tertile 35% R vs. 13% V (P = 0.001) had SBP > or =160 mm Hg. Treatment SBP <130 mm Hg was more frequent in V patients in the lowest tertile (18% vs. 5%; P = 0.003), and in R patients in the highest tertile (26% vs. 12%, P = 0.002). CONCLUSIONS Pressor responses to antihypertensive monotherapy occur sufficiently frequently to be of concern, especially in lower renin patients given a beta-blocker or ACE inhibitor (ACEI).
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Turner ST, Schwartz GL, Chapman AB, Beitelshees AL, Gums JG, Cooper-DeHoff RM, Boerwinkle E, Johnson JA, Bailey KR. Plasma renin activity predicts blood pressure responses to beta-blocker and thiazide diuretic as monotherapy and add-on therapy for hypertension. Am J Hypertens 2010; 23:1014-22. [PMID: 20725057 PMCID: PMC2941699 DOI: 10.1038/ajh.2010.98] [Citation(s) in RCA: 70] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023] Open
Abstract
BACKGROUND Age and race categories or renin profiling have been recommended to predict blood pressure responses to monotherapy with a beta-blocker or thiazide diuretic. Whether these or other characteristics predict blood pressure responses when the drugs are administered as add-on therapy is uncertain. METHODS We evaluated predictors of blood pressure response in 363 men and women < or =65 years of age with primary hypertension (152 blacks, 211 whites), 86 of whom (24%) were untreated and 277 of whom (76%) were withdrawn from previous antihypertensive drugs before randomization to either atenolol followed by addition of hydrochlorothiazide (N = 180) or hydrochlorothiazide followed by addition of atenolol (N = 183). Responses were determined by home blood pressure averages before and after each drug administration. Race, age, plasma renin activity, and other characteristics including pretreatment blood pressure levels were incorporated into linear regression models to quantify their contributions to prediction of blood pressure responses. RESULTS Plasma renin activity and pretreatment blood pressure level consistently contributed to prediction of systolic and diastolic responses to each drug administered as mono- and as add-on therapy. Higher plasma renin activity was consistently associated with greater blood pressure responses to atenolol and lesser responses to hydrochlorothiazide. The predictive effects of plasma renin activity were statistically independent of race, age, and other characteristics. CONCLUSIONS Plasma renin activity and pretreatment blood pressure level predict blood pressure responses to atenolol and hydrochlorothiazide administered as mono- and as add-on therapy in men and women < or =65 years of age.
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Affiliation(s)
- Stephen T Turner
- Division of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA.
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The Pharmacogenomics of Anti-Hypertensive Therapy. Pharmaceuticals (Basel) 2010; 3:1779-1791. [PMID: 27713329 PMCID: PMC4033952 DOI: 10.3390/ph3061779] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2010] [Revised: 05/20/2010] [Accepted: 05/26/2010] [Indexed: 01/21/2023] Open
Abstract
Hypertension is a major public health problem, but measures to reduce blood pressure and thus cardiovascular risk are complicated by the high prevalence of treatment resistance, despite the availability of multiple drugs. Drug side-effects contribute considerably to suboptimal blood pressure control. Clinicians must often rely on empirical methods to match patients with effective drug treatment. Hypertension pharmacogenomics seeks to find genetic predictors of response to drugs that lower blood pressure and to translate this knowledge into clinical practice. In this review we summarise the current status of hypertension pharmacogenetics from monogenic hypertension to essential hypertension and discuss the issues that need to be considered in a hypertension pharmacogenomic study.
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Ayala DE, Hermida RC. SEX DIFFERENCES IN THE ADMINISTRATION-TIME-DEPENDENT EFFECTS OF LOW-DOSE ASPIRIN ON AMBULATORY BLOOD PRESSURE IN HYPERTENSIVE SUBJECTS. Chronobiol Int 2010; 27:345-62. [DOI: 10.3109/07420521003624662] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
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Barbalic M, Schwartz GL, Chapman AB, Turner ST, Boerwinkle E. Kininogen gene (KNG) variation has a consistent effect on aldosterone response to antihypertensive drug therapy: the GERA study. Physiol Genomics 2009; 39:56-60. [PMID: 19584173 DOI: 10.1152/physiolgenomics.00061.2009] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Recent experimental and clinical studies suggested that apart from playing an essential role in blood pressure homeostasis, aldosterone is involved in the pathophysiology of cardiovascular and renal diseases by inducing structural changes in the heart, kidney, and vessel wall. The interindividual variation of aldosterone response to antihypertensive treatment is considerable, and is at least partially explained by genetic variation. In this study, we investigated aldosterone response to two antihypertensive drugs-a thiazide diuretic and an angiotensin receptor blocker (ARB). Genetic variations in 50 candidate genes were tested for association with aldosterone response in four independent samples: African American (AA) responders to a diuretic (n = 289), AA responders to an ARB (n = 252), European American (EA) responders to a diuretic (n = 295) and EA responders to an ARB (n = 300). Linear regression was used to test the association with inclusion of age, sex, and body mass index as covariates. The results indicated the existence of one or more variants in the kininogen gene (KNG) that influence interindividual variation in aldosterone response. The significant association was replicated in three of four studied groups. The single nucleotide polymorphism rs4686799 was associated in AA and EA responders to the diuretic (P = 0.04 and P = 0.07, respectively), and rs5030062 and rs698078 were significantly associated in EA responders to the diuretic (P = 0.05 and P = 0.01) and EA responders to the ARB (P = 0.04 and P = 0.02). Although the clinical implication of KNG gene variation to antihypertensive drug response is yet to be determined, this novel candidate locus provides important new insights into drug response physiology.
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Affiliation(s)
- Maja Barbalic
- Human Genetics Center, University of Texas Health Science Center at Houston, Houston, Texas 77030, USA
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Neutel JM. Complementary mechanisms of angiotensin receptor blockers and calcium channel blockers in managing hypertension. Postgrad Med 2009; 121:40-8. [PMID: 19332961 DOI: 10.3810/pgm.2009.03.1975] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Hypertension affects approximately 73 million individuals in the United States. Clinical studies have shown that antihypertensive therapy can reduce blood pressure (BP) and the risk of cardiovascular events. However, the majority of patients with hypertension do not achieve the recommended BP goal of < 140/90 mm Hg (or < 130/80 mm Hg for patients with diabetes) with antihypertensive monotherapy, and require therapy with 2 or more antihypertensive agents. Combination therapy utilizes antihypertensive agents from different drug classes, which act via distinct pharmacologic mechanisms to improve overall efficacy and tolerability. Although combination therapy is superior to monotherapy in achieving BP goals across the entire spectrum of hypertension, the proportion of patients achieving the recommended BP goal can be further improved by the use of new antihypertensive drug combinations. The beneficial antihypertensive characteristics of both angiotensin receptor blockers and calcium channel blockers suggest that combining these classes may result in a highly efficacious antihypertensive therapy with regard to both activity and safety when used as a fixed-dose combination. In particular, a fixed-dose combination of olmesartan medoxomil plus amlodipine besylate has been demonstrated to be an efficacious antihypertensive combination due in part to the benefits associated with each of these agents within their respective drug classes.
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Affiliation(s)
- Joel M Neutel
- Orange County Research Center, Tustin, CA 92780, USA.
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Tanigawara Y, Yoshihara K, Kuramoto K, Arakawa K. Comparative Pharmacodynamics of Olmesartan and Azelnidipine in Patients with Hypertension: a Population Pharmacokinetic/Pharmacodynamic Analysis. Drug Metab Pharmacokinet 2009; 24:376-88. [PMID: 19745564 DOI: 10.2133/dmpk.24.376] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Aliskiren fails to lower blood pressure in patients who have either low PRA levels or whose PRA falls insufficiently or reactively rises. Am J Hypertens 2009; 22:112-21. [PMID: 18802434 DOI: 10.1038/ajh.2008.275] [Citation(s) in RCA: 47] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023] Open
Abstract
BACKGROUND Suppressed baseline plasma renin activity (PRA) levels or large reactive increases in renin secretion are two possible reasons for treatment failure with antirenin system drugs. METHODS To investigate their prevalence we reanalyzed data from three published clinical trials of the renin inhibitor aliskiren. RESULTS Aliskiren failed to lower systolic blood pressure (SBP) by at least 10 mm Hg in half of all patients. It was very effective in two-thirds of medium- to high-renin patients (-19 mm Hg). But BP did not fall in most low-renin patients, or in 30% of medium- to high-renin patients. BP actually rose by >10 mm Hg in 5% of patients taking aliskiren and in >10% of patients when aliskiren was added to an angiotensin receptor blocker (ARB) or angiotensin converting enzyme inhibitor (ACEI). PRA changed in parallel with BP. Although PRA fell in most patients, it actually rose in 5% and in up to 30% when aliskiren was added to an ARB or ACEI. CONCLUSIONS There are two reasons for treatment failure with aliskiren. Many hypertensive patients have large BP falls. But, BP does not fall in most low-renin patients or in medium- to high-renin patients whose PRA levels do not fall sufficiently. If the concept of that treatment resistance is caused by excessive reactive increases in renin secretion is confirmed, then a PRA determination during treatment could be used to guide subsequent addition or subtraction of either natriuretic or antirenin drug types, to thereby correct BP and reduce cardiovascular risk.
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Muniyappa R, Hall G, Kolodziej TL, Karne RJ, Crandon SK, Quon MJ. Cocoa consumption for 2 wk enhances insulin-mediated vasodilatation without improving blood pressure or insulin resistance in essential hypertension. Am J Clin Nutr 2008; 88:1685-96. [PMID: 19064532 PMCID: PMC2969165 DOI: 10.3945/ajcn.2008.26457] [Citation(s) in RCA: 121] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023] Open
Abstract
BACKGROUND Essential hypertension is characterized by reciprocal relations between endothelial dysfunction and insulin resistance. Cocoa flavanols stimulate production of the vasodilator nitric oxide from vascular endothelium. OBJECTIVE The objective was to test the hypothesis that consumption of cocoa may simultaneously lower blood pressure, improve endothelial dysfunction, and ameliorate insulin resistance in subjects with essential hypertension. DESIGN We conducted a randomized, placebo-controlled, double-blind, crossover trial of a flavanol-rich cocoa drink (150 mL twice a day, approximately 900 mg flavanols/d) in individuals with essential hypertension (n = 20). Antihypertensive medications were discontinued before study enrollment. After a 7-d cocoa-free run-in period, cocoa or flavanol-poor placebo (approximately 28 mg flavanols/d) treatment for 2 wk was followed by a 1-wk washout and then crossover to the other treatment arm. Blood pressure was measured thrice weekly. At baseline and after each treatment period, we assessed insulin sensitivity (hyperinsulinemic-isoglycemic glucose clamp) and insulin-stimulated changes in brachial artery diameter and forearm skeletal muscle capillary recruitment (Doppler ultrasound with or without microbubble contrast). RESULTS Cocoa treatment for 2 wk increased insulin-stimulated changes in brachial artery diameter when compared with placebo [median percentage increase from baseline (25th-75th percentile): 8.3 (4.2-11.3) compared with 5.9 (-0.3 to 9.6); P < 0.04]. Nevertheless, cocoa treatment did not significantly reduce blood pressure or improve insulin resistance and had no significant effects on skeletal muscle capillary recruitment, circulating plasma concentrations of adipocytokines, or endothelial adhesion molecules. CONCLUSIONS Daily consumption of flavanol-rich cocoa for 2 wk is not sufficient to reduce blood pressure or improve insulin resistance in human subjects with essential hypertension. This trial was registered at clinicaltrials.gov as NCT00099476.
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Affiliation(s)
- Ranganath Muniyappa
- Diabetes Unit, National Center for Complementary and Alternative Medicine, National Institutes of Health, Bethesda, MD, USA
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Blumenfeld JD. Plasma renin activity for predicting antihypertensive drug efficacy. Am J Hypertens 2008; 21:5-6. [PMID: 18091734 DOI: 10.1038/ajh.2007.23] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
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