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.