Five immune-related genesas diagnostic markersfor endometriosis andtheir correlation withimmune infiltratio
Five immune-related genesas diagnostic markersfor endometriosis andtheir correlation withimmune infiltratio
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作者：
Yi Huang;Qiong Li;Rui Hu;Ruiyun Li;Yuan Yang
Endometriosis (EMS) is a chronic disease that can cause dysmenorrhea, chronicpelvic pain, and infertility, among other symptoms. EMS diagnosis is oftendelayed compared to other chronic diseases, and there are currently noaccurate, easily accessible, and non-invasive diagnostic tools. Therefore, it isimportant to elucidate the mechanism of EMS and explore potentialbiomarkers and diagnostic tools for its accurate diagnosis and treatment. Inthe present study, we comprehensively analyzed the differential expression,immune infiltration, and interactions of EMS-related genes in three Homosapiens datasets. Our results identified 332 differentially expressed genes(DEGs) associated with EMS. Gene ontology analysis showed that thesechanges mainly focused on the positive regulation of endometrial cellproliferation, cell metabolism, and extracellular space, and EMS involved theintegrin, complement activation, folic acid metabolism, interleukin, and lipidsignaling pathways. The LASSO regression model was established usingimmune DEGs with an area under the curve of 0.783 for the internal datasetand 0.656 for the external dataset. Five genes with diagnostic value, ACKR1,LMNB1, MFAP4, NMU, and SEMA3C, were screened from M1 and M2macrophages, activated mast cells, neutrophils, natural killer cells, follicular Thelper cells, CD8 , and CD4 cells. A protein−protein interaction networkbased on the immune DEGs was constructed, and ten hub genes with thehighest scores were identified. Our results may provide a framework for thedevelopment of pathological molecular networks in EMS.
