{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T05:18:04Z","timestamp":1783487884986,"version":"3.55.0"},"reference-count":57,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T00:00:00Z","timestamp":1783468800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Endocrinol."],"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Early-onset preeclampsia (EOPE) is a severe hypertensive disorder of pregnancy associated with preterm delivery and maternal multi-organ dysfunction. Although placental senescence and immune dysregulation have been implicated in EOPE, the expression profile of senescence-related genes(SRGs) and their mechanistic roles in disease progression remain unclear.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Multiple placental bulk RNA-seq datasets were integrated to identify senescence-related differentially expressed genes in EOPE. Weighted gene co-expression network analysis (WGCNA) and multiple machine learning algorithms were used to identify hub genes. Single-cell RNA sequencing was further applied to define the cellular expression patterns of hub genes and characterize senescence-associated changes in EOPE. Key findings were subsequently validated in clinical placental specimens using molecular and functional experiments.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>A total of 44 senescence-related differentially expressed genes were identified in EOPE placentas and were mainly enriched in cell proliferation-related pathways. LEP, ENG, MIF, and CYBB were identified as hub genes and were predominantly expressed in trophoblasts and immune cells. Single-cell analysis showed that senescence-associated activity was primarily enriched in the trophoblast lineage and further implicated LEP in syncytiotrophoblast (SCT) senescence and SCT secretory dysfunction, suggesting a role in EOPE pathogenesis.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Our findings suggest that EOPE is closely related to placental senescence. Deeper investigation of SRGs and pathways may aid early diagnosis and clarify the molecular basis of EOPE.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fendo.2026.1863608","type":"journal-article","created":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T04:48:06Z","timestamp":1783486086000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Integrative bioinformatics analysis identifies placental senescence-associated signatures in early-onset preeclampsia"],"prefix":"10.3389","volume":"17","author":[{"given":"Li","family":"Lin","sequence":"first","affiliation":[{"name":"Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University","place":["Shanghai, 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