Identification of ferroptosis-related molecular clusters and genes for diabetic osteoporosis based on the machine learning.

ABSTRACT:

Background

Diabetic osteoporosis exhibits heterogeneity at the molecular level. Ferroptosis, a controlled form of cell death brought on by a buildup of lipid peroxidation, contributes to the onset and development of several illnesses. The aim was to explore the molecular subtypes associated with ferroptosis in diabetic osteoporosis at the molecular level and to further elucidate the potential molecular mechanisms.

Methods

Integrating the CTD, GeneCards, FerrDb databases, and the microarray data of GSE35958, we identified ferroptosis-related genes (FRGs) associated with diabetic osteoporosis. We applied unsupervised cluster analysis to divide the 42 osteoporosis samples from the GSE56814 microarray data into different subclusters based on FRGs. Subsequently, FRGs associated w

SUBMITTER: Wang X 

PROVIDER: S-EPMC10461391 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature