{"paper_id":"2608cc1d-cd75-41aa-b817-90dca464a685","body_text":"Abstract\nEndometriosis (EMT) is a prevalent gynecological disorder characterized by pain and infertility associated with the menstrual cycle. Pyroptosis, an emerging cell death mechanism, has been implicated in the pathogenesis of diverse diseases, highlighting its pivotal role in disease progression. Therefore, our study aimed to investigate the impact of pyroptosis in EMT using a comprehensive bioinformatics approach. We initially obtained two datasets from the Gene Expression Omnibus database and performed differential expression analysis to identify pyroptosis-related genes (PRGs) that were differentially expressed between EMT and non-EMT samples. Subsequently, several machine learning algorithms, namely least absolute shrinkage selection operator regression, support vector machine-recursive feature elimination, and random forest algorithms were used to identify a hub gene to construct an effective diagnostic model for EMT. Receiver operating characteristic curve analysis, nomogram, calibration curve, and decision curve analysis were applied to validate the performance of the model. Based on the selected hub gene, differential expression analysis between high- and low-expression groups was conducted to explore the functions and signaling pathways related to it. Additionally, the correlation between the hub gene and immune cells was investigated to gain insights into the immune microenvironment of EMT. Finally, a pyroptosis-related competing endogenous RNA network was constructed to elucidate the regulatory interactions of the hub gene. Our study revealed the potential contribution of a specific PRG to the pathogenesis of EMT, providing a novel perspective for clinical diagnosis and treatment of EMT.\nData Availability\nThe datasets presented in this study can be found on the GEO website (https://www.ncbi.nlm.nih.gov/geo/).\nReferences\nBaranov VS, Ivaschenko TE, Liehr T, Yarmolinskaya MI (2015) Systems genetics view of endometriosis: a common complex disorder. Eur J Obstet Gynecol Reprod Biol 185:59–65. https://doi.org/10.1016/j.ejogrb.2014.11.036\nBertschi D, McKinnon BD, Evers J, Bersinger NA, Mueller MD (2013) Enhanced inflammatory activity of endometriotic lesions from the rectovaginal septum. Mediat Inflamm 2013:450950. https://doi.org/10.1155/2013/450950\nCui L, Chen S, Wang D, Yang Q (2021) LINC01116 promotes proliferation and migration of endometrial stromal cells by targeting FOXP1 via sponging miR-9-5p in endometriosis. 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Cell Mol Biol (Noisy-le-grand) 67(4):282–288. https://doi.org/10.14715/cmb/2021.67.4.31\nAcknowledgements\nThe authors thank the GEO database for providing valuable datasets.\nFunding\nNo funding was received for conducting this study.\nAuthor information\nAuthors and Affiliations\nContributions\nZS and WS designed the study and wrote the original manuscript. CL and PD searched relevant literature and prepared figures. KL and YL conducted data acquisition and analysis. YW helped revise the manuscript and supervised the study. All authors approved the manuscript.\nCorresponding author\nEthics declarations\nCompeting interests\nThe authors declare no competing interests.\nAdditional information\nPublisher's Note\nSpringer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.\nRights and permissions\nSpringer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.\nAbout this article\nCite this article\nSu, Z., Su, W., Li, C. et al. Identification and Immune Characteristics Study of Pyroptosis‑Related Genes in Endometriosis. Biochem Genet 62, 2810–2829 (2024). https://doi.org/10.1007/s10528-023-10583-7\nReceived:\nAccepted:\nPublished:\nVersion of record:\nIssue date:\nDOI: https://doi.org/10.1007/s10528-023-10583-7","source_license":"CC0","license_restricted":false}