{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,29]],"date-time":"2026-09-29T12:58:49Z","timestamp":1790686729883,"version":"4.1.0"},"reference-count":41,"publisher":"Wiley","issue":"18","license":[{"start":{"date-parts":[[2026,5,14]],"date-time":"2026-05-14T00:00:00Z","timestamp":1778716800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"},{"start":{"date-parts":[[2026,5,14]],"date-time":"2026-05-14T00:00:00Z","timestamp":1778716800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Clinical Laboratory Analysis"],"published-print":{"date-parts":[[2026,9]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Endometritis is linked to adverse reproductive outcomes, but epithelial programs in disease initiation and persistence remain unclear. We aimed to systematically define inflammation\u2010associated epithelial states and regulation in endometritis using single\u2010cell analysis.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Method<\/jats:title>\n                    <jats:p>The single\u2010cell RNA sequencing (scRNA\u2010seq) data from Gene Expression Omnibus (GEO) were processed using Seurat. After quality control, data were normalized with SCTransform and batch\u2010corrected using the Harmony package. Cell types were annotated based on canonical markers. Differential expression analysis was performed to identify genes altered in endometritis. Epithelial cells were subsetted for reclustering and trajectory inference using Monocle2. Cell\u2013cell communication was inferred with CellChat, and transcriptional regulon activity was assessed using SCENIC and AUCell methods.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      A total of 153,877 cells formed 14 clusters across seven lineages, with lower epithelial proportion in endometritis. Epithelial cells included four subpopulations (SPDEF\n                      <jats:sup>+<\/jats:sup>\n                      , MT1H\n                      <jats:sup>+<\/jats:sup>\n                      , Ciliated, COL1A1\n                      <jats:sup>+<\/jats:sup>\n                      ), with SPDEF\n                      <jats:sup>+<\/jats:sup>\n                      and COL1A1\n                      <jats:sup>+<\/jats:sup>\n                      expanded in disease. Upregulated epithelial genes enriched in ribosome, antigen processing\/presentation, and estrogen\u2010related pathways. Pseudotime showed a continuous trajectory splitting into two fates: one ferroptosis\u2010related with glutathione metabolism and mineral absorption, the other ribosome and antigen presentation. Communication networks were denser in endometritis, with COL1A1\n                      <jats:sup>+<\/jats:sup>\n                      epithelium as a hub and enhanced VEGFA\u2013VEGFR signaling. SCENIC revealed elevated regulon activity in disease, especially AP\u20101 (JUN\/FOS) modules.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>This epithelial\u2010centric single\u2010cell atlas delineates disease\u2010associated states, fate decisions, signaling axes, and regulatory programs in endometritis. The data support a model of epithelial fate remodeling coupled to angiogenic signaling and AP\u20101\u2013driven transcription, nominating testable targets for mechanistic validation and potential translation.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/jcla.70221","type":"journal-article","created":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T06:22:03Z","timestamp":1778826123000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["<scp>COL1A1<\/scp>\n                    <sup>+<\/sup>\n                    Epithelial Cells Orchestrate\n                    <scp>VEGFA\u2010VEGFR<\/scp>\n                    Signaling in Endometritis Revealed by Single\u2010Cell Analysis"],"prefix":"10.1002","volume":"40","author":[{"given":"Chengzi","family":"Tian","sequence":"first","affiliation":[{"name":"Department of Gynecology, the First People's Hospital of Yunnan Province Kunming University of Science and Technology Affiliated Hospital  Kunming China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7373-9901","authenticated-orcid":false,"given":"Zaiyi","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynecology, Reproductive Medicine Center The Seventh Affiliated Hospital of Sun Yat\u2010Sen University  Shenzhen 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