Using bioinformatics and metabolomics to identify altered granulosa cells in patients with diminished ovarian reserve.

ABSTRACT:

Background

During fertility treatment, diminished ovarian reserve (DOR) is a challenge that can seriously affect a patient's reproductive potential. However, the pathogenesis of DOR is still unclear and its treatment options are limited. This study aimed to explore DOR's molecular mechanisms.

Methods

We used R software to analyze the mRNA microarray dataset E-MTAB-391 downloaded from ArrayExpress, screen for differentially expressed genes (DEGs), and perform functional enrichment analyses. We also constructed the protein-protein interaction (PPI) and miRNA-mRNA networks. Ovarian granulosa cells (GCs) from women with DOR and the control group were collected to perform untargeted metabolomics analyses. Additionally, small molecule drugs were identified using the Connectivity M

SUBMITTER: He R 

PROVIDER: S-EPMC7457930 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature