Beta-Adrenergic Receptors and Beta Blocker Response Notes

Beta-Adrenergic Receptors and Beta Blocker Response

Learning Outcomes

  • Understanding of beta-blockers.
  • Knowledge of β-adrenergic receptors.
  • Appreciation of inter-individual variability in response to beta-blockers.
  • Awareness of common genetic variants on the ADBR1 and ADBR2 genes.
  • Understanding the evidence implicating the variants in beta-blocker response.
  • Acknowledging the conflicting evidence in this area.

Beta-Blockers and Beta-Adrenergic Receptors

  • Beta-adrenergic receptors are typically bound by norepinephrine and epinephrine.
  • Beta-blockers function as antagonists, blocking signaling through the β-adrenoceptors.
  • There exist three β-adrenoceptor subtypes: β1, β2, and β3.
  • These receptors are G-protein coupled receptors.
  • β1 receptors increase cardiac rate and force.
  • β2 receptors facilitate bronchodilation and vasodilation.
  • Beta-blockade can be specific (β1) or non-specific (β1 and β2).

Uses for Beta Blockers

  • Used extensively in cardiovascular disease, including:
    • Heart failure
    • Hypertension
    • Angina
    • Myocardial infarction
    • Arrhythmias
  • Beta-blockers reduce both blood pressure (BP) and heart rate (HR).
  • Patients exhibit variable responses to β-blocker treatment.

Genetic Link to Beta-Blocker Response

  • A genetic link to response to β-blockers has been reported since the 2000s.
  • β1 receptor: Gene = ADBR1
  • β2 receptor: Gene = ADBR2
  • Relevant Genes, Rs numbers, and AA changes:
    • ADRB1:
      • rs1801252 A>G (Ser49Gly)
      • rs1801253 G>C (Arg389Gly)
    • ADRB2:
      • rs1042714 C>G (Gln27Glu)
      • rs1042713 G>A (Arg16Gly)
      • rs1800888 C>T (Thre16IIe)

ADBR1 and Heart Rate

  • Two common variants exist in ADBR1:
    • p.Arg389Gly (rs1801253)
      • The Arg 389 allele exhibits increased function in vitro compared to Gly389 receptors, demonstrating higher basal levels of adenylyl cyclase activity.
      • The minor allele Gly389 decreases both basal and agonist-promoted receptor activity.
    • p.Ser49Gly (rs1801252)
      • The minor allele Gly49 showed altered glycosylation and increases agonist-promoted receptor downregulation
  • Minor alleles Gly389 and Gly49 are associated with:
    • Decreased heart rate at rest and in response to exercise.
    • Decreased risk of developing hypertension.

Clinical Evidence

  • The Gly389 and Gly49 variants have been associated with:
    • Attenuated beta-blocker responsiveness:
      • Heart rate
      • Blood pressure
      • Cardiac remodeling
      • Long-term clinical outcomes

Conflicting Evidence/Lack of Replication

  • In healthy individuals:
    • Carriers of p.Arg389Gly and p.Ser49Gly are less responsive to β-blockade than wild type.
  • In individuals with high blood pressure:
    • Some studies show the p.Arg389Gly and p.Ser49Gly have no significant change in blood pressure after β-blockade.
  • Not all studies find an effect of the ADBR1 genotype and response to β-blockers.
    • Other clinical variables may play a role.
    • Other candidate genes may be involved.

PharmGKB and ADBR1 Variants

  • PharmGKB data on ADBR1 variants (April 2023) indicates:
    • rs1801252 (Ser49Gly) is associated with metoprolol efficacy in hypertension and beta-blocking agents' toxicity related to major adverse cardiac events (MACE).
    • rs1801252 is also linked to the efficacy of timolol and carvedilol.
    • rs1801253 (Arg389Gly) is associated with carvedilol dosage in heart failure.
    • rs1801253 is associated with the efficacy of ACE inhibitors, angiotensin II antagonists, beta-blocking agents, digoxin, diuretics, and spironolactone in heart failure.
    • rs1801253 is associated with dobutamine efficacy.
    • rs1801253 is associated with catecholamines dosage in coronary artery disease.
    • rs1801253 is associated with bucindolol efficacy in heart failure.
    • rs1801253 is associated with muraglitazar toxicity(Diabetes Mellitus, Edema, Hyperlipidemias).
    • rs1801253 is associated with metoprolol efficacy.
    • rs1801253 is associated with Beta Blocking Agents efficacy(Cardiomyopathy, Dilated, Heart Failure).

Parikh et al. (2018) - Dose Response of Beta-Blockers in Adrenergic Receptor Polymorphism Genotypes

  • Studied the interaction between ADRB1 Arg389Gly polymorphism and β-blockers in heart failure (HF) patients with reduced ejection fraction.
  • Retrospective analysis of DNA substudies from BEST (B-Blocker Evaluation of Survival Trial) and HF-ACTION (Heart Failure: A Controlled Trial Investigating Outcomes of Exercise Training).
  • Defined β-blocker dose as no/low dose or high dose based on total daily dose of bucindolol (BEST) or other β-blockers (HF-ACTION) standardized to carvedilol equivalents.
  • All-cause mortality was the main outcome.
  • CV mortality/HF hospitalization was a secondary outcome.
  • Results:
    • Subjects with ADRB1 Arg389Arg had less all-cause mortality with high- versus no/low-dose β-blocker.
    • High-dose bucindolol with ADRB1 Arg389Arg had a differential favorable treatment effect compared to Gly carriers.
    • HF-ACTION Arg389Arg genotype subjects taking no/low-dose β-blocker had greater all-cause mortality compared with 389Gly carriers.
  • Conclusions:
    • The enhanced HF efficacy of bucindolol in the ADRB1 Arg389Arg versus 389Gly carrier genotypes occurs at high dose.
    • Other β-blockers taken at low dose have reduced efficacy for Arg389Arg genotype subjects compared with 389Gly carriers.
    • Supports using high, clinical trial target doses of all β-blockers to treat HF with reduced ejection fraction.

Guerra et al. (2022) - Genetic Polymorphisms in ADRB2 and ADRB1

  • Studied the association of genetic polymorphisms in ADRB2 and ADRB1 with differential survival in heart failure patients taking β-blockers.
  • Assessed associations and interactions between β-blocker dose, SNP genotype, and mortality using a Cox proportional hazard model.
  • Two SNPs, ADRB1 Arg389Gly and ADRB2 Glu27Gln, displayed significant interactions with β-blocker dose and their association with mortality.
  • Suggests that ADRB2 27Glu and ADRB1 389Arg may confer a larger survival benefit with higher β-blocker doses in patients with HF.

Take-Home Messages

  • There is inter-individual variability in response to beta-blockers.
  • Variation in the genes that encode beta-adrenergic receptors has been shown to have an effect on the function of the receptor in vitro.
  • Identifying those individuals who don’t respond well to beta-blockers could be clinically valuable.
  • Even after 20 years of research, there are still conflicting results.
  • Recent studies suggest that at high dosage of beta-blockers, there is a relationship between genotype and clinical outcome.
  • There is still hope for personalized medicine in this area.