Identification of senescence-related biomarkers for osteoporosis based on microarray analysis, Mendelian randomization, and experimental validation.

ABSTRACT: Osteoporosis, characterized by decreased bone mineral density, is a common skeletal disorder in the aging population. Cellular senescence is a key factor in the pathophysiology of osteoporosis. This study aimed to identify senescence-related biomarkers and evaluate the functional role in osteoporosis by integrating microarray analysis, Mendelian randomization (MR), and experimental validation. Osteoporosis-related microarray dataset was downloaded from the Gene Expression Omnibus database for differential expression analysis. We integrated summary-level data from genome-wide association studies on osteoporosis with protein quantitative trait loci data to identify genes with causal relationships to osteoporosis. The senescence-related biomarker gene was identified using the SenMayo gene set

SUBMITTER: Zhu Y 

PROVIDER: S-EPMC12408724 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature