Identification of ferroptosis- and mitochondrial metabolism-related biomarkers and the potential molecular mechanisms of poor ovarian response.

ABSTRACT:

Background

Ferroptosis and mitochondrial metabolism are closely associated with the pathological processes of various diseases. However, the role of ferroptosis-related genes (FRGs) and mitochondrial metabolism-related genes (MMRGs) in poor ovarian response (POR) remains unexplored.

Methods

First, transcriptome sequencing was conducted on ovarian granulosa cell samples from POR patients and controls. Candidate genes were screened through differential expression analysis and consensus clustering analysis. The biomarkers were subsequently screened using machine learning algorithms and receiver operating characteristic (ROC) curves. Nomogram construction and evaluation, enrichment analysis, drug prediction analysis, and molecular docking were subsequently carried out using the

SUBMITTER: Cai Y 

PROVIDER: S-EPMC12619394 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature