Approaches in Bioinformatics for Monitoring Antihypertensive Therapies in Patients
Igor O. Poluboiartsev, Mariya V. Davydenko · Zenodo (CERN European Organization for Nuclear Research) · 2023
Abstract. This article presents a clinical case that explores the use of new approaches in bioinformatics for monitoring antihypertensive therapies in patients. The case describes a 58-year-old male with persistent hypertension and suboptimal response to antihypertensive medications. The physician orders a genetic test and a pharmacogenomic test to identify potential genetic variants and drug response profiles that may explain the patient's condition. Based on these findings, the physician switches the patient's antihypertensive therapy and schedules a follow-up appointment to monitor his blood pressure. The case highlights the potential of bioinformatics to personalize antihypertensive therapy and improve patient outcomes while minimizing the risk of adverse drug reactions. This article is relevant to healthcare professionals, researchers, and policymakers interested in the application of bioinformatics in clinical practice. Aim. The aim of this article is to explore the use of new approaches in bioinformatics for monitoring antihypertensive therapies in patients. Specifically, we aim to demonstrate how genetic and pharmacogenomic testing can provide valuable information for personalizing antihypertensive therapy and improving blood pressure control while minimizing the risk of adverse drug reactions. This article highlights the potential of bioinformatics to optimize healthcare resources and improve patient outcomes in the management of hypertension.