{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T08:44:34Z","timestamp":1772268274384,"version":"3.50.1"},"reference-count":47,"publisher":"PeerJ","license":[{"start":{"date-parts":[[2022,3,30]],"date-time":"2022-03-30T00:00:00Z","timestamp":1648598400000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003399","name":"Shanghai Science and Technology Committee","doi-asserted-by":"crossref","award":["19411960300"],"award-info":[{"award-number":["19411960300"]}],"id":[{"id":"10.13039\/501100003399","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100008750","name":"Shanghai Hospital Development Center","doi-asserted-by":"crossref","award":["SHDC12019113"],"award-info":[{"award-number":["SHDC12019113"]}],"id":[{"id":"10.13039\/501100008750","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Endometriosis is a chronic systemic disease, whose classic symptoms are pelvic pain and infertility. This disease seriously reduces the life quality of patients. The pathogenesis, recognition and treatment of endometriosis is still unclear, and cannot be over emphasized. The aim of our study was to investigate the potential biomarker of endometriosis for the mechanism and treatment.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      Using\n                      <jats:uri xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"http:\/\/www.ncbi.nlm.nih.gov\/geo\/query\/acc.cgi?acc=GSE11691\">GSE11691<\/jats:uri>\n                      ,\n                      <jats:uri xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"http:\/\/www.ncbi.nlm.nih.gov\/geo\/query\/acc.cgi?acc=GSE23339\">GSE23339<\/jats:uri>\n                      and\n                      <jats:uri xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"http:\/\/www.ncbi.nlm.nih.gov\/geo\/query\/acc.cgi?acc=GSE5108\">GSE5108<\/jats:uri>\n                      datasets, differentially expressed genes (DEGs) were identified between endometriosis and normal samples. The functions of DEGs were reflected by the analysis of gene ontology (GO), pathway enrichment and gene set enrichment analysis (GSEA). The LASSO regression model was performed to identify candidate biomarkers. The receiver operating characteristic curve (ROC) was used to evaluate discriminatory ability of candidate biomarkers. The predictive value of the markers in endometriosis were further validated in the\n                      <jats:uri xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"http:\/\/www.ncbi.nlm.nih.gov\/geo\/query\/acc.cgi?acc=GSE120103\">GSE120103<\/jats:uri>\n                      dataset. Then, the expression level of biomarkers was detected by qRT-PCR and Western blot. Finally, the relationship between candidate biomarker expression and immune infiltration was estimated using CIBERSORT.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      A total of 42 genes were identified, which were mainly involved in cytokine\u2013cytokine receptor interaction, systemic lupus erythematosus and chemokine signaling pathway. We confirmed PDLIM3 was a specific biomarker in endometriosis (AUC = 0.955) and validated in the\n                      <jats:uri xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"http:\/\/www.ncbi.nlm.nih.gov\/geo\/query\/acc.cgi?acc=GSE120103\">GSE120103<\/jats:uri>\n                      dataset (AUC = 0.836). The mRNA and protein expression level of PDLIM3 in endometriosis tissue was significantly higher than normal. Immune cell infiltration analysis revealed that PDLIM3 was correlated with M2 macrophages, neutrophils, CD4+ memory resting T cells, gamma delta T cells, M1 Macrophages, resting mast cells, follicular helper T cells, activated NK cells, CD8+ T cells, regulatory T cells (Tregs), naive B cells, plasma cells and resting NK cells.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.7717\/peerj.13218","type":"journal-article","created":{"date-parts":[[2022,3,30]],"date-time":"2022-03-30T04:01:06Z","timestamp":1648612866000},"page":"e13218","source":"Crossref","is-referenced-by-count":7,"title":["Bioinformatical analysis identifies PDLIM3 as a potential biomarker associated with immune infiltration in patients with 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