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ABSTRACT: Background
Aim of this bioinformatics study based on transcriptomic analysis was to reveal the cross-talk between periodontitis (PD) and hypothyroidism (HT).Methods
The gene expression datasets GSE18152 and GSE176153 of HT and GSE10334, GSE16134, and GSE173078 of PD were downloaded through the Gene Expression Omnibus (GEO) database. Differential Expression Genes (DEG) between cases and controls in each microarray were assessed by using the "limma" (linear models for microarray data) R package (|log2 fold change (FC)| >0 and P-value <0.05). To analyze the cross-talk effect between HT and PD, the intersection of DEG of HT and PD was selected. To investigate the biological function of cross-talk genes, the gene ontology (GO) functional enrichment analysis and Kyoto Ency
SUBMITTER: Yan B
PROVIDER: S-EPMC9017577 | biostudies-literature | 2022
REPOSITORIES: biostudies-literature