Deep Learning Analyses to Delineate the Molecular Remodeling Process after Myocardial Infarction.

ABSTRACT: Specific proteins and processes have been identified in post-myocardial infarction (MI) pathological remodeling, but a comprehensive understanding of the complete molecular evolution is lacking. We generated microarray data from swine heart biopsies at baseline and 6, 30, and 45 days after infarction to feed machine-learning algorithms. We cross-validated the results using available clinical and experimental information. MI progression was accompanied by the regulation of adipogenesis, fatty acid metabolism, and epithelial-mesenchymal transition. The infarct core region was enriched in processes related to muscle contraction and membrane depolarization. Angiogenesis was among the first morphogenic responses detected as being sustained over time, but other processes suggesting post-ischemic

SUBMITTER: Iborra-Egea O 

PROVIDER: S-EPMC8699769 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature