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Dataset Information

Identification and validation of iron metabolism genes in osteoporosis.


ABSTRACT:

Background

Osteoporosis is the most common metabolic bone disease in humans. Exploring the expression difference of iron metabolism-related genes in osteoporosis can provide a new target for diagnosis and treatment.

Methods

First, we used online databases to identify differentially expressed genes (DEGs) related to iron metabolism in patients with osteoporosis. The differential genes were comprehensively analyzed by bioinformatics method (GO, KEGG, GSEA, immune infiltration analysis, PPI). The expression levels of hub genes and important signaling pathways were verified by qRT-PCR and Western blotting.

Results

A total of 23 iron metabolism-related genes with significant differences were identified, which were enriched in "regulation of protein dephosphorylation" and "

SUBMITTER: Li Z 

PROVIDER: S-EPMC10762978 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature