{"paper_id":"9a54b69f-2e45-4beb-bcb7-836b58fc77bf","body_text":"SUPT16H Overexpression Alleviates the Progression of Endometriosis and Systemic Lupus Erythematosus by Regulating Oxidative Stress\nYang Song\nDepartment of Dermatology, The 962th Hospital of the PLA Joint Logistic Support Force, Harbin, Heilongjiang, China\nSearch for more papers by this authorCorresponding Author\nJinhe Ma\nDepartment of Gynaecology and Obstetrics, The 962th Hospital of the PLA Joint Logistic Support Force, Harbin, Heilongjiang, China\nSearch for more papers by this authorYang Song\nDepartment of Dermatology, The 962th Hospital of the PLA Joint Logistic Support Force, Harbin, Heilongjiang, China\nSearch for more papers by this authorCorresponding Author\nJinhe Ma\nDepartment of Gynaecology and Obstetrics, The 962th Hospital of the PLA Joint Logistic Support Force, Harbin, Heilongjiang, China\nSearch for more papers by this authorABSTRACT\nObjective\nTo screen immune-related biomarkers in diagnosing patients with both endometriosis (EM) and systemic lupus erythematosus (SLE).\nMethods\nAfter performing differential expression analysis, immune infiltration analysis, WGCNA, the immune-related genes in EM and SLE were screened. Then the diagnostic genes were identified by three machine learning algorithms, followed by evaluation of the predictive performance of the diagnostic genes by nomogram and ROC curve. Then the correlation between diagnostic genes and immune cells, TFs, GSEA, and potential drugs prediction analyses were performed. Lastly, experiments in vitro were applied to explore the function of SUPT16H in EM and SLE.\nResults\nTotal 20 immune-related genes in EM and SLE were identified by intersecting DEGs and module genes. Using “LASSO”, “RF”, and “SVM-RFE” algorithms, and total three common diagnostic genes were obtained, namely, C1QC, SOCS3, and SUPT16H. ROC curve shown that AUCs of diagnostic genes were all above 0.7 in training and verification datasets. The targeted drugs for the three diagnostic genes were predicted, containing Pingyangmycin CTD 00001211, VANADIUM PENTOXIDE CTD 00002655, CTD 00001728, and so forth. Also, SUPT16H exerted significant function in occurrence of EM and SLE via regulating inflammation and oxidative stress in cell experiments in vitro.\nConclusion\nSUPT16H overexpression alleviates the progression of EM and SLE by inhibiting inflammation and oxidative stress. The three co- susceptibility genes (C1QC, SOCS3, and SUPT16H) that strongly related to immunity in EM and SLE could be the promising candidate biomarker for the diagnosis and treatment for EM and SLE patients.\nConflicts of Interest\nNone.\nSupporting Information\n| Filename | Description |\n|---|---|\n| aji70230-sup-0001-SuppMat1.xlsx405 KB | Supporting file 1: 3856 DEGs acquired between EM and control samples. |\n| aji70230-sup-0002-SuppMat2.xlsx64.4 KB | Supporting file 2: 538 DEGs obtained between SLE and control samples. |\n| aji70230-sup-0003-SuppMat3.csv29.7 KB | Supporting file 3: 20 immune-related genes in EM and SLE. |\nPlease note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.\nReferences\n- 1P. T. K. Saunders, L. H. R. Whitaker, and A. W. 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Earth and Space Science, 8, e2020EA001619. https://doi.org/10.1029/2020EA001619\nDownload Citation\nIf you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click on download.\nThis feature enables you to download the bibliographic information (also called citation data, header data, or metadata) for the articles on our site.\nCitation manager file format\nUse the dropdown list to choose how to format the bibliographic data you're harvesting. Several citation manager formats are available, including EndNote and BibTex. You can then copy the formatted citation (as displayed) or download it as file, to your device. If the RefWorks format is chosen, the 'Download' button will be replaced with an option to directly export to RefWorks","source_license":"public-domain-us","license_restricted":false}