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Dataset Information

Transcriptomic analysis identifies diagnostic genes in polycystic ovary syndrome and periodontitis.


ABSTRACT:

Purpose

To investigate underlying co-mechanisms of PCOS and periodontitis through transcriptomic approach.

Methods

PCOS and periodontitis gene expression data were downloaded from the GEO database to identify differentially expressed genes. GO and KEGG pathway enrichment analysis and random forest algorithm were used to screen hub genes. GSEA analyzed the functions of hub genes. Correlations between hub genes and immune infiltration in two diseases were examined, constructing a TF-ceRNA regulatory network. Clinical samples were gathered from PCOS and periodontitis patients and RT-qPCR was performed to verify the connection.

Results

There were 1661 DEGs in PCOS and 701 DEGs in periodontitis. 66 intersected genes were involved and were enriched in immune and inflammatio

SUBMITTER: Liu X 

PROVIDER: S-EPMC10762819 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature