Possible genetic cross-talk between Down syndrome and obstructive sleep apnea revealed by transcriptomic analysis.

Abstract

Down syndrome (DS) is linked to a higher prevalence of obstructive sleep apnea (OSA) than in the general population, which in turn contributes to worse cognitive impairment in DS. However, the shared pathogenic mechanisms for DS and OSA remain incompletely illustrated. This study was designed to decipher the genetic cross-talk between DS and OSA by bioinformatics approach. Transcriptomic datasets of DS (GSE59630) and OSA (GSE135917) were accessed from the Gene Expression Omnibus (GEO) repository. After screening out the common differentially expressed genes (DEGs) for DS and OSA, gene ontology (GO) functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were carried out. A protein-protein interaction (PPI) network was then constructed to determine essential modules and hub genes. Finally, based on hub genes, transcriptional factor (TF)-gene interaction and TF-miRNA regulatory networks were constructed. DS and OSA showed 229 DEGs. Functional analyses revealed how oxidative stress and inflammatory response were critical in the progression of DS and OSA. Ten significant hub genes were identified, including TLR4, SOD1, IGF1, FGF2, NFE2L2, PECAM1, S100A8, S100A9, FCGR3A, and KCNA1, which were candidate targets for DS and OSA. We found that DS and OSA display similarities in their pathogenesis. Key genes and signaling pathways revealed to be in common between the two conditions could lead us to new therapeutic targets for DS and OSA.