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Abstract：
Premature ovarian failure (POF), which is often comorbid with dry eye disease (DED) is a key issue affecting female health. Here, we explored the mechanism underlying comorbid POF and DED to further elucidate disease mechanisms and improve treatment. Datasets related to POF (GSE39501) and DED (GSE44101) were identified from the Gene Expression Omnibus (GEO) database and subjected to weighted gene coexpression network (WGCNA) and differentially expressed genes (DEGs) analyses, respectively, with the intersection used to obtain 158 genes comorbid in POF and DED. Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) analyses of comorbid genes revealed that identified genes were primarily related to DNA replication and Cell cycle, respectively. Protein-Protein interaction (PPI) network analysis of comorbid genes obtained the 15 hub genes: CDC20, BIRC5, PLK1, TOP2A, MCM5, MCM6, MCM7, MCM2, CENPA, FOXM1, GINS1, TIPIN, MAD2L1, and CDCA3. To validate the analysis results, additional POF- and DED-related datasets (GSE48873 and GSE171043, respectively) were selected. miRNAs-lncRNAs-genes network and machine learning methods were used to further analysis comorbid genes. The DGIdb database identified valdecoxib, amorfrutin A, and kaempferitrin as potential drugs. Herein, the comorbid genes of POF and DED were identified from a bioinformatics perspective, providing a new strategy to explore the comorbidity mechanism, opening up a new direction for the diagnosis and treatment of comorbid POF and DED.
摘要：
卵巢早衰(POF),干眼病（DED）是影响女性健康的关键问题。这里,我们探索了POF和DED共病的潜在机制，以进一步阐明疾病机制并改善治疗。从基因表达综合（GEO）数据库中鉴定出与POF（GSE39501）和DED（GSE44101）相关的数据集，并进行加权基因共表达网络（WGCNA）和差异表达基因（DEGs）分析。分别,在POF和DED中用于获得158个共病基因的交叉点。京都基因和基因组百科全书（KEGG）和基因本体论（GO）共病基因的分析表明，鉴定的基因主要与DNA复制和细胞周期有关，分别。共病基因的蛋白质-蛋白质相互作用(PPI)网络分析获得了15个hub基因：CDC20、BIRC5、PLK1、TOP2A、MCM5,MCM6,MCM7,MCM2,CENPA,FOXM1,GINS1,TIPIN,MAD2L1和CDCA3。为了验证分析结果，选择了其他POF和DED相关数据集(分别为GSE48873和GSE171043).miRNAs-lncRNAs-基因网络和机器学习方法用于进一步分析共病基因。DGIdb数据库识别了valdecoxib，amorfrutinA,和作为潜在药物的kaempferitrin。在这里，从生物信息学的角度鉴定了POF和DED的共病基因，为探索共病机制提供了新的策略，为POF和DED合并症的诊断和治疗开辟了新的方向。
