Literature DB >> 18475165

Laboratory tests as predictors of the antihypertensive effects of amlodipine, bisoprolol, hydrochlorothiazide and losartan in men: results from the randomized, double-blind, crossover GENRES Study.

Timo Suonsyrjä1, Tuula Hannila-Handelberg, Kristian J Paavonen, Helena E Miettinen, Kati Donner, Timo Strandberg, Ilkka Tikkanen, Reijo Tilvis, Pertti J Pentikäinen, Kimmo Kontula, Timo P Hiltunen.   

Abstract

OBJECTIVE: Individual blood pressure responses to antihypertensive therapy are difficult to predict. To improve optimization of antihypertensive therapy, we analyzed correlations of relevant laboratory tests with blood pressure responses to four antihypertensive monotherapies.
METHODS: In the GENRES study, 208 Finnish men aged 35-60 years with moderate hypertension used amlodipine 5 mg, bisoprolol 5 mg, hydrochlorothiazide 25 mg and losartan 50 mg daily, each for 4 weeks as a monotherapy in a double-blind, randomized, placebo-controlled crossover study; that is, each subject received each type of monotherapy in a random order. The treatment periods were preceded and separated by 4-week placebo periods. Ambulatory 24-h and office blood pressure measurements were carried out after all study periods. Data from several biochemical tests were correlated to antihypertensive drug responses.
RESULTS: Serum total calcium concentration was negatively correlated with blood pressure responses to amlodipine (P values 0.001-0.002). Plasma renin activity was positively correlated with blood pressure responses to losartan (P values 0.001-0.005) and bisoprolol (P values 0.03-0.17), and negatively with blood pressure responses to hydrochlorothiazide (P values 0.01-0.07). Daily urinary excretion of sodium was negatively correlated with ambulatory blood pressure responses to amlodipine (P values 0.001-0.01).
CONCLUSIONS: In this carefully controlled study, marked individual variations in antihypertensive drug responsiveness were found to correlate to several baseline laboratory parameters. The negative correlation between serum calcium levels and amlodipine responses is intriguing and suggests an underlying mechanistic association. Collectively, our data imply that laboratory tests may have some value in prediction of the efficacy of various antihypertensive drug therapies, although great patient-to-patient variation remains an obstacle for exact predictive classification.

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Year:  2008        PMID: 18475165     DOI: 10.1097/HJH.0b013e3282fcc37f

Source DB:  PubMed          Journal:  J Hypertens        ISSN: 0263-6352            Impact factor:   4.844


  10 in total

1.  Phenomapping for the Identification of Hypertensive Patients with the Myocardial Substrate for Heart Failure with Preserved Ejection Fraction.

Authors:  Daniel H Katz; Rahul C Deo; Frank G Aguilar; Senthil Selvaraj; Eva E Martinez; Lauren Beussink-Nelson; Kwang-Youn A Kim; Jie Peng; Marguerite R Irvin; Hemant Tiwari; D C Rao; Donna K Arnett; Sanjiv J Shah
Journal:  J Cardiovasc Transl Res       Date:  2017-03-03       Impact factor: 4.132

2.  Pharmacoepigenetics of hypertension: genome-wide methylation analysis of responsiveness to four classes of antihypertensive drugs using a double-blind crossover study design.

Authors:  Marja-Liisa Nuotio; Heini Sánez Tähtisalo; Alexandra Lahtinen; Kati Donner; Frej Fyhrquist; Markus Perola; Kimmo K Kontula; Timo P Hiltunen
Journal:  Epigenetics       Date:  2022-02-25       Impact factor: 4.861

Review 3.  Antihypertensive efficacy of angiotensin receptor blockers as monotherapy as evaluated by ambulatory blood pressure monitoring: a meta-analysis.

Authors:  Harikrishna Makani; Sripal Bangalore; Azhar Supariwala; Jorge Romero; Edgar Argulian; Franz H Messerli
Journal:  Eur Heart J       Date:  2013-08-21       Impact factor: 29.983

4.  Can we identify response markers to antihypertensive drugs? First results from the IDEAL Trial.

Authors:  F Gueyffier; F Subtil; T Bejan-Angoulvant; Y Zerbib; J P Baguet; J M Boivin; A Mercier; G Leftheriotis; J P Gagnol; J P Fauvel; C Giraud; G Bricca; D Maucort-Boulch; S Erpeldinger
Journal:  J Hum Hypertens       Date:  2014-04-17       Impact factor: 3.012

5.  Pharmacogenomic studies of hypertension: paving the way for personalized antihypertensive treatment.

Authors:  Michael T Eadon; Sri H Kanuri; Arlene B Chapman
Journal:  Expert Rev Precis Med Drug Dev       Date:  2018-01-03

6.  Pharmacogenomics of hypertension: a genome‐wide, placebo‐controlled cross‐over study, using four classes of antihypertensive drugs.

Authors:  Timo P Hiltunen; Kati M Donner; Antti-Pekka Sarin; Janna Saarela; Samuli Ripatti; Arlene B Chapman; John G Gums; Yan Gong; Rhonda M Cooper-DeHoff; Francesca Frau; Valeria Glorioso; Roberta Zaninello; Erika Salvi; Nicola Glorioso; Eric Boerwinkle; Stephen T Turner; Julie A Johnson; Kimmo K Kontula
Journal:  J Am Heart Assoc       Date:  2015-01-26       Impact factor: 5.501

7.  Factors Influencing the Relationship Between the Dose of Amlodipine Required for Blood Pressure Control and Change in Blood Pressure in Hypertensive Cats.

Authors:  E S Bijsmans; M Doig; R E Jepson; H M Syme; J Elliott; L Pelligand
Journal:  J Vet Intern Med       Date:  2016-09       Impact factor: 3.333

8.  Effects of four different antihypertensive drugs on plasma metabolomic profiles in patients with essential hypertension.

Authors:  Timo P Hiltunen; Jenni M Rimpelä; Robert P Mohney; Steven M Stirdivant; Kimmo K Kontula
Journal:  PLoS One       Date:  2017-11-09       Impact factor: 3.240

9.  Redefining diuretics use in hypertension: why select a thiazide-like diuretic?

Authors:  Michel Burnier; George Bakris; Bryan Williams
Journal:  J Hypertens       Date:  2019-08       Impact factor: 4.844

10.  Adverse influence of bisoprolol on central blood pressure in the upright position: a double-blind placebo-controlled cross-over study.

Authors:  Lauri Suojanen; Antti Haring; Antti Tikkakoski; Heini Huhtala; Mika Kähönen; Arttu Eräranta; Jukka T Mustonen; Ilkka H Pörsti
Journal:  J Hum Hypertens       Date:  2019-03-18       Impact factor: 3.012

  10 in total

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