Artificial neural network inference analysis identified novel genes and gene interactions associated with skeletal muscle aging.

ABSTRACT:

Background

Sarcopenia is an age-related muscle disease that increases the risk of falls, disabilities, and death. It is associated with increased muscle protein degradation driven by molecular signalling pathways including Akt and FOXO1. This study aims to identify genes, gene interactions, and molecular pathways and processes associated with muscle aging and exercise in older adults that remained undiscovered until now leveraging on an artificial intelligence approach called artificial neural network inference (ANNi).

Methods

Four datasets reporting the profile of muscle transcriptome obtained by RNA-seq of young (21-43 years) and older adults (63-79 years) were selected and retrieved from the Gene Expression Omnibus (GEO) data repository. Two datasets contained the transcr

SUBMITTER: Tarum J 

PROVIDER: S-EPMC11446686 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature