β1-adrenergic receptor polymorphisms: a possible genetic predictor of bisoprolol response in acute coronary syndrome

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Abstract

Aim: To investigate the association between beta1-adrenergic receptor (ADRB1) polymorphisms and response to bisoprolol treatment in beta-blocker naive patients with acute coronary syndrome (ACS). Patients & methods: Seventy-seven patients received bisoprolol for four weeks. Blood pressure and heart rate were measured at baseline and during treatment. TaqMan allelic discrimination method was utilized for ADRB1 Ser49Gly and Arg389Gly genotyping. Results: Arg389Arg carriers showed greater reductions in systolic and diastolic blood pressure (-8.5% ± 7.8% vs -0.76% ± 8.7%, p = 0.000218), and (-9.5% ± 9.7% vs -0.80% ± 11.5%, p = 0.000149), respectively, compared with Gly389 carriers. No statistical difference was found for study's outcomes based on codon 49. Conclusion: Arg389Gly polymorphism is a promising bisoprolol response predictor in ACS patients. Plain language summary Pharmacogenetics is a field of study that explores how our genes can affect how well certain medicines work. In this study, scientists looked at a specific gene called beta1-adrenergic receptor to see how it can influence a drug called bisoprolol. They wanted to find out if some people's genes made bisoprolol work better for them. They studied 77 patients with a heart problem called acute coronary syndrome (ACS) who were taking bisoprolol for 4 weeks. The researchers discovered that people with a particular gene piece called Arg389Arg responded better to bisoprolol. They had bigger reductions in their blood pressure compared with those who had a different gene called Gly389. This finding suggests that by looking at a person's genes, doctors might be able to predict how well bisoprolol will work for them. This way, doctors can choose the best treatment for each patient, making sure they get the most benefit from the medicine.

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APA

Fayed, M. S., Saleh, M. A., Sabri, N. A., & Elkholy, A. A. (2023). β1-adrenergic receptor polymorphisms: a possible genetic predictor of bisoprolol response in acute coronary syndrome. Future Science OA, 9(10). https://doi.org/10.2144/fsoa-2023-0113

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