A Machine Learning Approach to Gene Expression in Hypertrophic Cardiomyopathy.

ABSTRACT:

Background/objectives

Hypertrophic cardiomyopathy (HCM) is a common heart disorder characterized by the thickening of the heart muscle, particularly in the left ventricle, which increases the risk of cardiac complications. This study aims to analyze the expression of apoptosis-regulating genes (CASP8, CASP9, CASP3, BAX, and BCL2) in blood samples from HCM patients, to better understand their potential as biomarkers for disease progression.

Methods

Quantitative real-time PCR (qPCR) was used to evaluate gene expression in blood samples from 93 HCM patients. The correlation between apoptosis-regulating genes was conducted and clinical parameters were integrated for feature importance and clustering analysis.

Results

Most patients exhibi

SUBMITTER: Pavic J 

PROVIDER: S-EPMC11510441 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature