Evidence map›Paper›PMID 42827157›Full record

ArticleEMBO molecular medicine2026

Prostaglandin E2-mediated aging microenvironment fuels pathogenic fibrosis in cesarean section scar defect.

Yujia Yin, Huihui Chen, Weiwei Xie, Yizhi Wang, Yujing Qian, Rong Sheng, Danning Li, Jiarui Li, Xingchen Zhou, Zhiyuan Dai and 3 more

Abstract read
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In one paragraph

Article in EMBO molecular medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Yujia Yin *Department of Obstetrics and Gynecology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Huihui Chen *Department of Obstetrics and Gynecology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Weiwei Xie *Department of Obstetrics and Gynecology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yizhi Wang *Department of Obstetrics and Gynecology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yujing QianDepartment of Obstetrics and Gynecology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Rong ShengDepartment of Obstetrics and Gynecology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Danning LiDepartment of Obstetrics and Gynecology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jiarui LiDepartment of Obstetrics and Gynecology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xingchen ZhouDepartment of Obstetrics and Gynecology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Zhiyuan DaiDepartment of Obstetrics and Gynecology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Zhiyong MaoShanghai Key Laboratory of Maternal Fetal Medicine, Clinical and Translational Research Center of Shanghai First Maternity and Infant Hospital, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai, China.ORCID http://orcid.org/0000-0002-5298-1918
Ziyi LiNational Key Laboratory of Immunity and Inflammation, Suzhou Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Suzhou, China. lzy@ism.pumc.edu.cn.ORCID http://orcid.org/0000-0003-0947-9137
Xipeng WangDepartment of Obstetrics and Gynecology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China. wangxipeng@xinhuamed.com.cn.ORCID http://orcid.org/0000-0001-8393-3719

Funding

MOST | National Key Research and Development Program of China (NKPs) 2020YFC2002800MOST | National Natural Science Foundation of China (NSFC) 82373250MOST | National Natural Science Foundation of China (NSFC) U24A20739Shanghai Pudong New Area Health Commission () No.PW2019E-3STCSM | Program of Shanghai Academic Research Leader (Shanghai Academic Research Leader) 22XD1402000
6 · The paper itself

Abstract

With the increasing rates of cesarean section (CS), cesarean section scar defect (CSD) has become an escalating clinical concern due to uterine dysfunction and reduced fertility. However, the biological basis of CSD remains poorly understood, particularly the mechanisms of impaired uterine repair after CS and the causes of failure in conventional repair surgeries. This study integrates metabolomics, transcriptomics, a newly developed mouse model, and functional assays to elucidate the complex interplay between senescence and fibrosis in CSD. Our findings identify upregulation of the PGES/prostaglandin E2 (PGE2) axis as a key upstream event that disrupts uterine healing. Elevated PGE2 preferentially induces early senescence of macrophages, which transmit pro-senescent signals to uterine fibroblasts through IL-1β/IL-1R signaling. This sequential senescence cascade drives excessive fibroblast activation and progressive fibrosis, ultimately impairing uterine structure and function. In mouse CS models, inhibition of the PGES/PGE2 pathway and anti-aging strategies significantly attenuate fibrosis and restore coordinated myometrial and endometrial repair. Our findings uncover a macrophage-fibroblast senescence relay to fibrotic scar formation in CSD and provide a translational rationale for targeting PGE2 signaling and senescence to improve uterine repair after CS.

Identifiers

What Socratic holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.