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ß1-adrenergic receptor polymorphisms: a possible genetic predictor of bisoprolol response in acute coronary syndrome.
Fayed, Mohamed S; Saleh, Mohamed Ayman; Sabri, Nagwa A; Elkholy, Amal A.
Afiliação
  • Fayed MS; Department of Clinical Pharmacy, Faculty of Pharmacy, Ain Shams University, Cairo, 11566, Egypt.
  • Saleh MA; Department of Cardiology, Faculty of Medicine, Ain Shams University, Cairo, 1181, Egypt.
  • Sabri NA; Department of Clinical Pharmacy, Faculty of Pharmacy, Ain Shams University, Cairo, 11566, Egypt.
  • Elkholy AA; Department of Clinical Pharmacy, Faculty of Pharmacy, Ain Shams University, Cairo, 11566, Egypt.
Future Sci OA ; 9(10): FSO895, 2023 Dec.
Article em En | MEDLINE | ID: mdl-37753361
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.
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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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Future Sci OA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Egito

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Future Sci OA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Egito
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