{Reference Type}: Journal Article
{Title}: Identification and Validation of Aging Related Genes Signature in Chronic Obstructive Pulmonary Disease.
{Author}: Li TT;Bai HY;Zhang JH;Kang XH;Qu YQ;
{Journal}: COPD
{Volume}: 21
{Issue}: 1
{Year}: 2024 Dec
{Factor}: 2.069
{DOI}: 10.1080/15412555.2024.2379811
{Abstract}: <B>UNASSIGNED: </B>Chronic Obstructive Pulmonary Disease (COPD) is regarded as an accelerated aging disease. Aging-related genes in COPD are still poorly understood.<BR><B>UNASSIGNED: </B>Data set GSE76925 was obtained from the Gene Expression Omnibus (GEO) database. The "limma" package identified the differentially expressed genes. The weighted gene co-expression network analysis (WGCNA) constructes co-expression modules and detect COPD-related modules. The least absolute shrinkage and selection operator (LASSO) and the support vector machine recursive feature elimination (SVM-RFE) algorithms were chosen to identify the hub genes and the diagnostic ability. Three external datasets were used to identify differences in the expression of hub genes. Real-time reverse transcription polymerase chain reaction (RT-qPCR) was used to verify the expression of hub genes.<BR><B>UNASSIGNED: </B>We identified 15 differentially expressed genes associated with aging (ARDEGs). The SVM-RFE and LASSO algorithms pinpointed four potential diagnostic biomarkers. Analysis of external datasets confirmed significant differences in PIK3R1 expression. RT-qPCR results indicated decreased expression of hub genes. The ROC curve demonstrated that PIK3R1 exhibited strong diagnostic capability for COPD.<BR><B>UNASSIGNED: </B>We identified 15 differentially expressed genes associated with aging. Among them, PIK3R1 showed differences in external data sets and RT-qPCR results. Therefore, PIK3R1 may play an essential role in regulating aging involved in COPD.