Transcriptomic Analysis Identifies the Effect of Beta-Blocking Agents on a Molecular Pathway of Contraction in the Heart and Predicts Response to Therapy
Overview
Authors
Affiliations
Over the last decades, beta-blockers have been a key component of heart failure therapy. However, currently there is no method to identify patients who will benefit from beta-blocking therapy versus those who will be unresponsive or worsen. Furthermore, there is an unmet need to better understand molecular mechanisms through which heart failure therapies, such as beta-blockers, improve cardiac function, in order to design novel targeted therapies. Solving these issues is an important step towards personalized medicine. Here, we present a comprehensive transcriptomic analysis of molecular pathways that are affected by beta-blocking agents and a transcriptomic biomarker to predict therapy response.
Cardiovascular Disease and Alzheimer's Disease: The Heart-Brain Axis.
Saeed A, Lopez O, Cohen A, Reis S J Am Heart Assoc. 2023; 12(21):e030780.
PMID: 37929715 PMC: 10727398. DOI: 10.1161/JAHA.123.030780.
Tatman P, Kao D, Chatfield K, Carroll I, Wagner J, Jonas E JCI Insight. 2023; 8(16).
PMID: 37606047 PMC: 10543724. DOI: 10.1172/jci.insight.169720.
Wang R, Maron B, Loscalzo J Arterioscler Thromb Vasc Biol. 2023; 43(4):493-503.
PMID: 36794589 PMC: 10038904. DOI: 10.1161/ATVBAHA.122.318731.
Approaching Sex Differences in Cardiovascular Non-Coding RNA Research.
Jusic A, Salgado-Somoza A, Paes A, Stefanizzi F, Martinez-Alarcon N, Pinet F Int J Mol Sci. 2020; 21(14).
PMID: 32664454 PMC: 7402336. DOI: 10.3390/ijms21144890.