Literature DB >> 19249413

Pharmacogenomics of antihypertensive drugs: rationale and design of the Pharmacogenomic Evaluation of Antihypertensive Responses (PEAR) study.

Julie A Johnson1, Eric Boerwinkle, Issam Zineh, Arlene B Chapman, Kent Bailey, Rhonda M Cooper-DeHoff, John Gums, R Whit Curry, Yan Gong, Amber L Beitelshees, Gary Schwartz, Stephen T Turner.   

Abstract

BACKGROUND: Selection of antihypertensive therapy is often empiric, and use of genetic information to guide drug therapy selection holds future promise. TRIAL
DESIGN: The objective of this trial is to identify the genetic determinants of the antihypertensive and adverse metabolic responses to a thiazide diuretic (hydrochlorothiazide), a beta-blocker (atenolol), and their combination. This will be accomplished through candidate gene and genome-wide association approaches. Individuals with uncomplicated hypertension (N = 800), with ages 17 and 65 years, are being enrolled. Current antihypertensive therapy is discontinued, and hypertension is confirmed, along with collection of other baseline data. Subjects are then randomized to either hydrochlorothiazide or atenolol, with 1 dose titration step, followed by assessment of response to therapy after at least 6 weeks on the target dose. Those with blood pressure >120/70 mm Hg have the second drug added, with similar dose titration and response assessment procedures. Data collected include home, office, and 24-hour ambulatory blood pressure. Biological samples collected in the fasting state include plasma, serum, DNA (buffy coat), and urine. Epstein-Barr virus transformed lymphocyte cell lines are also being created.
CONCLUSIONS: Pharmacogenetic-guided therapy holds clinical potential for hypertension, but the literature in the field is limited. This trial will add substantially to our understanding of the genetic determinants of antihypertensive and adverse metabolic responses to 2 commonly used antihypertensive drug classes.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19249413      PMCID: PMC2671287          DOI: 10.1016/j.ahj.2008.11.018

Source DB:  PubMed          Journal:  Am Heart J        ISSN: 0002-8703            Impact factor:   4.749


  18 in total

1.  Prognostic value of ambulatory blood-pressure recordings in patients with treated hypertension.

Authors:  Denis L Clement; Marc L De Buyzere; Dirk A De Bacquer; Peter W de Leeuw; Daniel A Duprez; Robert H Fagard; Peter J Gheeraert; Luc H Missault; Jacob J Braun; Roland O Six; Patricia Van Der Niepen; Eoin O'Brien
Journal:  N Engl J Med       Date:  2003-06-12       Impact factor: 91.245

2.  Variability in response to antihypertensive drug treatment.

Authors:  Barry J Materson
Journal:  Hypertension       Date:  2004-04-26       Impact factor: 10.190

3.  Discordant beta-blocker effects on clinic, ambulatory, resting, and exercise hemodynamics in patients with hypertension.

Authors:  Amber L Beitelshees; Issam Zineh; Hossein N Yarandi; Daniel F Pauly; Julie A Johnson
Journal:  Pharmacotherapy       Date:  2006-09       Impact factor: 4.705

4.  Prevention of cardiovascular events with an antihypertensive regimen of amlodipine adding perindopril as required versus atenolol adding bendroflumethiazide as required, in the Anglo-Scandinavian Cardiac Outcomes Trial-Blood Pressure Lowering Arm (ASCOT-BPLA): a multicentre randomised controlled trial.

Authors:  Björn Dahlöf; Peter S Sever; Neil R Poulter; Hans Wedel; D Gareth Beevers; Mark Caulfield; Rory Collins; Sverre E Kjeldsen; Arni Kristinsson; Gordon T McInnes; Jesper Mehlsen; Markku Nieminen; Eoin O'Brien; Jan Ostergren
Journal:  Lancet       Date:  2005 Sep 10-16       Impact factor: 79.321

5.  Lack of agreement between office and ambulatory blood pressure responses to hydrochlorothiazide.

Authors:  Javier Daniel Finkielman; Gary L Schwartz; Arlene B Chapman; Eric Boerwinkle; Stephen T Turner
Journal:  Am J Hypertens       Date:  2005-03       Impact factor: 2.689

6.  Home blood pressure measurement has a stronger predictive power for mortality than does screening blood pressure measurement: a population-based observation in Ohasama, Japan.

Authors:  T Ohkubo; Y Imai; I Tsuji; K Nagai; J Kato; N Kikuchi; A Nishiyama; A Aihara; M Sekino; M Kikuya; S Ito; H Satoh; S Hisamichi
Journal:  J Hypertens       Date:  1998-07       Impact factor: 4.844

7.  Lack of placebo effect on ambulatory blood pressure.

Authors:  G Mancia; S Omboni; G Parati; A Ravogli; A Villani; A Zanchetti
Journal:  Am J Hypertens       Date:  1995-03       Impact factor: 2.689

8.  Assessment of drug effects on blood pressure and pulse pressure using clinic, home and ambulatory measurements.

Authors:  G S Stergiou; S P Efstathiou; I I Skeva; N M Baibas; C B Kalkana; T D Mountokalakis
Journal:  J Hum Hypertens       Date:  2002-10       Impact factor: 3.012

9.  Screening, treatment, and control of hypertension in US private physician offices, 2003-2004.

Authors:  Jun Ma; Randall S Stafford
Journal:  Hypertension       Date:  2008-03-17       Impact factor: 10.190

10.  The Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure: the JNC 7 report.

Authors:  Aram V Chobanian; George L Bakris; Henry R Black; William C Cushman; Lee A Green; Joseph L Izzo; Daniel W Jones; Barry J Materson; Suzanne Oparil; Jackson T Wright; Edward J Roccella
Journal:  JAMA       Date:  2003-05-14       Impact factor: 56.272

View more
  80 in total

1.  Plasma renin activity predicts blood pressure responses to beta-blocker and thiazide diuretic as monotherapy and add-on therapy for hypertension.

Authors:  Stephen T Turner; Gary L Schwartz; Arlene B Chapman; Amber L Beitelshees; John G Gums; Rhonda M Cooper-DeHoff; Eric Boerwinkle; Julie A Johnson; Kent R Bailey
Journal:  Am J Hypertens       Date:  2010-08-19       Impact factor: 2.689

2.  Association of branched and aromatic amino acids levels with metabolic syndrome and impaired fasting glucose in hypertensive patients.

Authors:  Liming Weng; Eoin Quinlivan; Yan Gong; Amber L Beitelshees; Mohamed H Shahin; Stephen T Turner; Arlene B Chapman; John G Gums; Julie A Johnson; Reginald F Frye; Timothy J Garrett; Rhonda M Cooper-DeHoff
Journal:  Metab Syndr Relat Disord       Date:  2015-02-09       Impact factor: 1.894

3.  Pharmacogenomics of antihypertensive drugs: past, present and future.

Authors:  Julie A Johnson
Journal:  Pharmacogenomics       Date:  2010-04       Impact factor: 2.533

4.  Genetic Variants Influencing Plasma Renin Activity in Hypertensive Patients From the PEAR Study (Pharmacogenomic Evaluation of Antihypertensive Responses).

Authors:  Caitrin W McDonough; Oyunbileg Magvanjav; Ana C C Sá; Nihal M El Rouby; Chintan Dave; Amelia N Deitchman; Marina Kawaguchi-Suzuki; Wenbin Mei; Yong Shen; Ravi Shankar Prasad Singh; Mohamed Solayman; Kent R Bailey; Eric Boerwinkle; Arlene B Chapman; John G Gums; Amy Webb; Steven E Scherer; Wolfgang Sadee; Stephen T Turner; Rhonda M Cooper-DeHoff; Yan Gong; Julie A Johnson
Journal:  Circ Genom Precis Med       Date:  2018-04

5.  PROX1 gene variant is associated with fasting glucose change after antihypertensive treatment.

Authors:  Yan Gong; Caitrin W McDonough; Amber L Beitelshees; Jason H Karnes; Jeffrey R O'Connell; Stephen T Turner; Arlene B Chapman; John G Gums; Kent R Bailey; Eric Boerwinkle; Julie A Johnson; Rhonda M Cooper-DeHoff
Journal:  Pharmacotherapy       Date:  2013-10-09       Impact factor: 4.705

Review 6.  Concise Review: Induced Pluripotent Stem Cell Research in the Era of Precision Medicine.

Authors:  Takashi Hamazaki; Nihal El Rouby; Natalie C Fredette; Katherine E Santostefano; Naohiro Terada
Journal:  Stem Cells       Date:  2017-02-05       Impact factor: 6.277

7.  Presence of arachidonoyl-carnitine is associated with adverse cardiometabolic responses in hypertensive patients treated with atenolol.

Authors:  Liming Weng; Yan Gong; Jeffrey Culver; Stephen J Gardell; Christopher Petucci; Alison M Morse; Reginald F Frye; Stephen T Turner; Arlene Chapman; Eric Boerwinkle; John Gums; Amber L Beitelshees; Peggy R Borum; Julie A Johnson; Timothy J Garrett; Lauren M McIntyre; Rhonda M Cooper-DeHoff
Journal:  Metabolomics       Date:  2016-09-15       Impact factor: 4.290

8.  Sorting nexin 1 loss results in increased oxidative stress and hypertension.

Authors:  Jian Yang; Laureano D Asico; Amber L Beitelshees; Jun B Feranil; Xiaoyan Wang; John E Jones; Ines Armando; Santiago G Cuevas; Gary L Schwartz; John G Gums; Arlene B Chapman; Stephen T Turner; Eric Boerwinkle; Rhonda M Cooper-DeHoff; Julie A Johnson; Robin A Felder; Edward J Weinman; Chunyu Zeng; Pedro A Jose; Van Anthony M Villar
Journal:  FASEB J       Date:  2020-04-15       Impact factor: 5.191

9.  Association of KCNJ1 variation with change in fasting glucose and new onset diabetes during HCTZ treatment.

Authors:  J H Karnes; C W McDonough; Y Gong; T T Vo; T Y Langaee; A B Chapman; J G Gums; A L Beitelshees; K R Bailey; J L Del-Aguila; E A Boerwinkle; C J Pepine; S T Turner; J A Johnson; R M Cooper-DeHoff
Journal:  Pharmacogenomics J       Date:  2012-08-21       Impact factor: 3.550

Review 10.  Pharmacogenetics and stroke.

Authors:  James F Meschia
Journal:  Stroke       Date:  2009-09-17       Impact factor: 7.914

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.