Literature DB >> 12574108

Beta(2)-adrenergic receptor gene polymorphism, age, and cardiovascular phenotypes.

Maurizio Castellano1, Federica Rossi, Mara Giacchè, Cristiano Perani, Francesca Rivadossi, Maria Lorenza Muiesan, Massimo Salvetti, Marina Beschi, Damiano Rizzoni, Enrico Agabiti-Rosei.   

Abstract

Previous studies suggest that variants of the beta(2)-adrenergic receptor (ADRB2) may differently affect functional responses to adrenergic stimulation, thereby possibly modulating cardiovascular and metabolic phenotypes. We examined the hypothesis that G/R16 and Q/E27 polymorphism of ADRB2, or their haplotypes, may modulate blood pressure, cardiovascular structure, and function or metabolic cardiovascular risk factors in the general population. We examined a random sample of the general population (n=571; age, 35 to 64 years). Neither clinic nor 24-hour ambulatory blood pressure was significantly associated with ADRB2 genotypes in the overall population. Cardiac structure and function were also not influenced by ADRB2 polymorphism. After adjustment for potential confounders, association of the R16 allele with higher systolic blood pressure was observed in the subgroup of younger people (below age of 50 years). Haplotype analysis showed that higher blood pressure values were more specifically associated with the presence of R16-Q27. Younger people carrying the R16-Q27 haplotype also showed a trend toward lower heart rate, higher BMI, lower glycemia, and higher trygliceridemia, which is consistent with the hypothesis of a genetic predisposition to reduced cardiovascular and metabolic response to ADRB2 stimulation. This study does not provide evidence of a major role of ADRB2 gene variability in blood pressure modulation. However, association of ADRB2 polymorphism with cardiovascular and metabolic effects can be observed in younger subjects, before the development of age-related decline of ADRB2-mediated activity. Our study emphasizes the necessity of taking into account (patho)-physiological changes related to aging (in this case, decreased efficiency of ADRB2 signaling) when analyzing phenotypic effects of genetic variants.

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Year:  2003        PMID: 12574108     DOI: 10.1161/01.hyp.0000052831.85600.79

Source DB:  PubMed          Journal:  Hypertension        ISSN: 0194-911X            Impact factor:   10.190


  8 in total

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2.  Synopsis and data synthesis of genetic association studies in hypertension for the adrenergic receptor family genes: the CUMAGAS-HYPERT database.

Authors:  Georgios D Kitsios; Elias Zintzaras
Journal:  Am J Hypertens       Date:  2009-12-31       Impact factor: 2.689

3.  β-1 and β-2 adrenergic receptor polymorphism and association with cardiovascular response to orthostatic screening.

Authors:  E D Wittwer; Z Liu; N D Warner; D R Schroeder; A M Nadeau; A R Allen; C J Murillo; R L Elvebak; B M Aakre; J H Eisenach
Journal:  Auton Neurosci       Date:  2011-07-31       Impact factor: 3.145

4.  Balance between cardiac output and sympathetic nerve activity in resting humans: role in arterial pressure regulation.

Authors:  N Charkoudian; M J Joyner; C P Johnson; J H Eisenach; N M Dietz; B G Wallin
Journal:  J Physiol       Date:  2005-07-21       Impact factor: 5.182

5.  Hemodynamic and arrhythmogenic effects of cocaine in hypertensive individuals.

Authors:  Eric Secemsky; David Lange; David D Waters; Nora F Goldschlager; Priscilla Y Hsue
Journal:  J Clin Hypertens (Greenwich)       Date:  2011-08-16       Impact factor: 3.738

6.  Polymorphisms in α- and β-Adrenergic Receptor Genes, Hypertension, and Obstructive Sleep Apnea: The Skaraborg Sleep Study.

Authors:  Kristina Bengtsson Boström; Jan Hedner; Ludger Grote; Olle Melander; Fredrik von Wowern; Lennart Råstam; Leif Groop; Ulf Lindblad
Journal:  Int J Hypertens       Date:  2010-03-30       Impact factor: 2.420

7.  The Glu27 genotypes of the beta2-adrenergic receptor are predictors for severe coronary artery disease.

Authors:  Khaled K Abu-Amero; Olayan M Al-Boudari; Gamal H Mohamed; Nduna Dzimiri
Journal:  BMC Med Genet       Date:  2006-03-30       Impact factor: 2.103

Review 8.  The landscape of aging.

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Journal:  Sci China Life Sci       Date:  2022-09-02       Impact factor: 10.372

  8 in total

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