Abstract：
UNASSIGNED: Chronic Obstructive Pulmonary Disease (COPD) is regarded as an accelerated aging disease. Aging-related genes in COPD are still poorly understood.
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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.
摘要：
■慢性阻塞性肺疾病（COPD）被认为是一种加速衰老的疾病。COPD中与衰老相关的基因仍然知之甚少。
■数据集GSE76925从基因表达综合(GEO)数据库获得。“limma”软件包鉴定了差异表达的基因。加权基因共表达网络分析(WGCNA)构建共表达模块并检测COPD相关模块。选择了最小绝对收缩和选择算子（LASSO）和支持向量机递归特征消除（SVM-RFE）算法来识别集线器基因和诊断能力。使用三个外部数据集来鉴定hub基因表达的差异。实时逆转录聚合酶链反应(RT-qPCR)用于验证hub基因的表达。
■我们鉴定了15个与衰老相关的差异表达基因（ARDEGs）。SVM-RFE和LASSO算法确定了四种潜在的诊断生物标志物。外部数据集的分析证实了PIK3R1表达的显著差异。RT-qPCR结果表明hub基因表达降低。ROC曲线显示PIK3R1对COPD具有较强的诊断能力。
■我们鉴定了15个与衰老相关的差异表达基因。其中,PIK3R1在外部数据集和RT-qPCR成果上显示分歧。因此,PIK3R1可能在调节与COPD有关的衰老中起重要作用。
■数据集GSE76925从基因表达综合(GEO)数据库获得。“limma”软件包鉴定了差异表达的基因。加权基因共表达网络分析(WGCNA)构建共表达模块并检测COPD相关模块。选择了最小绝对收缩和选择算子（LASSO）和支持向量机递归特征消除（SVM-RFE）算法来识别集线器基因和诊断能力。使用三个外部数据集来鉴定hub基因表达的差异。实时逆转录聚合酶链反应(RT-qPCR)用于验证hub基因的表达。
■我们鉴定了15个与衰老相关的差异表达基因（ARDEGs）。SVM-RFE和LASSO算法确定了四种潜在的诊断生物标志物。外部数据集的分析证实了PIK3R1表达的显著差异。RT-qPCR结果表明hub基因表达降低。ROC曲线显示PIK3R1对COPD具有较强的诊断能力。
■我们鉴定了15个与衰老相关的差异表达基因。其中,PIK3R1在外部数据集和RT-qPCR成果上显示分歧。因此,PIK3R1可能在调节与COPD有关的衰老中起重要作用。
