OBJECTIVE: Large variability exists in the improvement in left ventricular (LV) function from beta-blocker treatment. We hypothesized that polymorphisms at codon 389 (Arg389Gly) and 49 (Ser49Gly) in the beta1-adrenergic receptor (AR) gene were associated with LV reverse remodeling changes in response to beta-blocker therapy among heart failure patients. METHODS: We prospectively enrolled 61 beta-blocker naive patients with systolic heart failure. Patients underwent baseline echocardiography followed by metoprolol CR/XL. The dose was doubled on a biweekly basis up to 200 mg/day or attainment of maximum tolerated dose. Echocardiography was repeated after the patient received the target or highest tolerated dose for 3 months. RESULTS: Among patients with the Arg389Arg genotype, ejection fraction (EF) increased from 23+/-5 to 29+/-10 (P=0.008). Gly389 carriers did not demonstrate any significant change in EF (22+/-9 to 23+/-11; P=0.45). There was a significant between-group difference in EF by genotype (P=0.04). The Arg389Arg genotype was also associated with significantly greater reductions in LV end-diastolic and end-systolic diameters compared to Gly389 carriers. Patients with the Gly49 variant also had a significantly greater reduction in LV end-diastolic diameter compared to Ser49 homozygotes. Multiple regression analysis modeling revealed that the codon 389 polymorphism was a significant predictor of an improvement in EF and both codon 49 and 389 polymorphisms were significant predictors of final LV end-diastolic diameter. CONCLUSIONS: Heart failure patients with the Arg389Arg genotype and Gly49 carriers had greater improvements in LV remodeling from beta-blocker treatment.
OBJECTIVE: Large variability exists in the improvement in left ventricular (LV) function from beta-blocker treatment. We hypothesized that polymorphisms at codon 389 (Arg389Gly) and 49 (Ser49Gly) in the beta1-adrenergic receptor (AR) gene were associated with LV reverse remodeling changes in response to beta-blocker therapy among heart failurepatients. METHODS: We prospectively enrolled 61 beta-blocker naive patients with systolic heart failure. Patients underwent baseline echocardiography followed by metoprolol CR/XL. The dose was doubled on a biweekly basis up to 200 mg/day or attainment of maximum tolerated dose. Echocardiography was repeated after the patient received the target or highest tolerated dose for 3 months. RESULTS: Among patients with the Arg389Arg genotype, ejection fraction (EF) increased from 23+/-5 to 29+/-10 (P=0.008). Gly389 carriers did not demonstrate any significant change in EF (22+/-9 to 23+/-11; P=0.45). There was a significant between-group difference in EF by genotype (P=0.04). The Arg389Arg genotype was also associated with significantly greater reductions in LV end-diastolic and end-systolic diameters compared to Gly389 carriers. Patients with the Gly49 variant also had a significantly greater reduction in LV end-diastolic diameter compared to Ser49 homozygotes. Multiple regression analysis modeling revealed that the codon 389 polymorphism was a significant predictor of an improvement in EF and both codon 49 and 389 polymorphisms were significant predictors of final LV end-diastolic diameter. CONCLUSIONS:Heart failurepatients with the Arg389Arg genotype and Gly49 carriers had greater improvements in LV remodeling from beta-blocker treatment.
Authors: Richard Sheppard; Eileen Hsich; Julie Damp; Uri Elkayam; Angela Kealey; Gautam Ramani; Mark Zucker; Jeffrey D Alexis; Benjamin D Horne; Karen Hanley-Yanez; Jessica Pisarcik; Indrani Halder; James D Fett; Dennis M McNamara Journal: Circ Heart Fail Date: 2016-03 Impact factor: 8.790
Authors: David P Kao; Gordon Davis; Ryan Aleong; Christopher M O'Connor; Mona Fiuzat; Peter E Carson; Inder S Anand; Jonathan F Plehn; Stephen S Gottlieb; Marc A Silver; JoAnn Lindenfeld; Alan B Miller; Michel White; Guinevere A Murphy; Will Sauer; Michael R Bristow Journal: Eur J Heart Fail Date: 2012-12-07 Impact factor: 15.534
Authors: Steven M Swift; Brigitte R Gaume; Kersten M Small; Bruce J Aronow; Stephen B Liggett Journal: Physiol Genomics Date: 2008-07-29 Impact factor: 3.107