@misc{10481/71836,
year = {2021},
month = {8},
url = {http://hdl.handle.net/10481/71836},
abstract = {β-blockers are commonly prescribed to treat multiple cardiovascular (CV) diseases, but, frequently, adverse drug
reactions and intolerance limit their use in clinical practice. Interindividual variability in response to β-blockers
may be explained by genetic differences. In fact, pharmacogenetic interactions for some of these drugs have been
widely studied, such as metoprolol. But studies that explore genetic variants affecting bisoprolol response are
inconclusive, limited or confusing because of mixed results with other β-Blockers, different genetic polymorphisms
observed, endpoint studied etc. Because of this, we performed a systematic review in order to find
relevant genetic variants affecting bisoprolol response. We have found genetic polymorphism in several genes,
but most of the studies focused in ADRB variants. The ADRB1 Arg389Gly (rs1801253) was the most studied
genetic polymorphism and it seems to influence the response to bisoprolol, although studies are inconclusive.
Even, we performed a meta-analysis about its influence on systolic/diastolic blood pressure in patients treated
with bisoprolol, but this did not show statistically significant results. In conclusion, many genetic polymorphisms
have been assessed about their influence on patients´ response to bisoprolol and the ADRB1 Arg389Gly
(rs1801253) seems the most relevant genetic polymorphism in this regard but results have not been confirmed
with a meta-analysis. Our results support the need of further studies about the impact of genetic variants on
bisoprolol response, considering different genetic polymorphisms and conducting single and multiple SNPs
analysis, including other clinical parameters related to bisoprolol response in a multivariate study.},
publisher = {Elsevier},
keywords = {Bisoprolol},
keywords = {Pharmacogenetic},
keywords = {Beta-blockers},
keywords = {Cardiovascular diseases},
keywords = {Personalized medicine},
title = {Pharmacogenetic polymorphisms affecting bisoprolol response},
doi = {10.1016/j.biopha.2021.112069},
author = {Castaño Amores, Celia and Díaz Villamarín, Xando and Pérez Gutiérrez, Ana María and Antúnez Rodríguez, Alba and Pozo Agundo, Ana and Moreno Escobar, Eduardo and Sánchez Ramos, Jesús Gabriel and Martínez González, Luis Javier and Dávila Fajardo, Cristina Lucía},
}