A Machine Learning Approach to Gene Expression in Hypertrophic Cardiomyopathy.

Autor: Pavić J; Institute for Information Technologies Kragujevac, University of Kragujevac, 34000 Kragujevac, Serbia.; Faculty of Engineering, University of Kragujevac, 34000 Kragujevac, Serbia., Živanović M; Institute for Information Technologies Kragujevac, University of Kragujevac, 34000 Kragujevac, Serbia., Tanasković I; Department of Histology and Embryology, Faculty of Medical Sciences, University of Kragujevac, 34000 Kragujevac, Serbia., Pavić O; Institute for Information Technologies Kragujevac, University of Kragujevac, 34000 Kragujevac, Serbia., Stanković V; Department of Pathology, Faculty of Medical Sciences, University of Kragujevac, 34000 Kragujevac, Serbia., Virijević K; Institute for Information Technologies Kragujevac, University of Kragujevac, 34000 Kragujevac, Serbia.; Faculty of Engineering, University of Kragujevac, 34000 Kragujevac, Serbia., Mladenović T; Institute for Information Technologies Kragujevac, University of Kragujevac, 34000 Kragujevac, Serbia.; Faculty of Engineering, University of Kragujevac, 34000 Kragujevac, Serbia., Košarić J; Institute for Information Technologies Kragujevac, University of Kragujevac, 34000 Kragujevac, Serbia., Milićević B; Institute for Information Technologies Kragujevac, University of Kragujevac, 34000 Kragujevac, Serbia.; Bioengineering Research and Development Center (BioIRC), 34000 Kragujevac, Serbia., Qamar SUR; Faculty of Engineering, University of Kragujevac, 34000 Kragujevac, Serbia.; Bioengineering Research and Development Center (BioIRC), 34000 Kragujevac, Serbia., Velicki L; Faculty of Medicine, University of Novi Sad, 21000 Novi Sad, Serbia.; Institute of Cardiovascular Diseases Vojvodina, 21204 Sremska Kamenica, Serbia., Novaković I; Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia., Preveden A; Faculty of Medicine, University of Novi Sad, 21000 Novi Sad, Serbia.; Institute of Cardiovascular Diseases Vojvodina, 21204 Sremska Kamenica, Serbia., Popović D; Department of Cardiovascular Diseases, Mayo Clinic, Rochester, MN 55905, USA., Tesić M; Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia.; Clinic for Cardiology, University Clinical Center of Serbia, 11000 Belgrade, Serbia., Seman S; Faculty of Sports and Physical Education, University of Belgrade, 11000 Belgrade, Serbia., Filipović N; Faculty of Engineering, University of Kragujevac, 34000 Kragujevac, Serbia.; Bioengineering Research and Development Center (BioIRC), 34000 Kragujevac, Serbia.
Jazyk: angličtina
Zdroj: Pharmaceuticals (Basel, Switzerland) [Pharmaceuticals (Basel)] 2024 Oct 12; Vol. 17 (10). Date of Electronic Publication: 2024 Oct 12.
DOI: 10.3390/ph17101364
Abstrakt: 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 exhibited significant downregulation of CASP8 , CASP9 , and CASP3 . In contrast, BAX expression was elevated in 71 out of 93 patients, while BCL2 was increased in 55 out of 93 patients. Correlation analysis revealed weak negative correlations between the BAX / BCL2 ratio and CASP gene expression.
Conclusions: These findings suggest that reduced expression of apoptotic genes may indicate a protective cellular mechanism, which could serve as a biomarker for disease progression. Further studies are needed to investigate the potential for therapeutic modulation of these pathways to improve patient outcomes.
Databáze: MEDLINE
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