Evidence map›Paper›PMID 40217245›Full record

ArticleBMC women's health2025

Transcriptomics and proteomics reveal associations between myometrium and intrauterine adhesions.

Xiaotong Xu, Kaixuan Guo, Peng Zhao, Xuemei Zhang, Pan Zhao, Xianghang Sun, Mingle Zhang, Yanpeng Tian, Li Fen, Jiahua Zheng and 1 more

Abstract read
In one paragraph

Article in BMC women's health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

11 authors.

Xiaotong Xu *Department of Gynecology, The Second Hospital of Hebei Medical University, 215 Peace Road West, Shijiazhuang, 050000, Hebei, China.
Kaixuan Guo *Department of Gynecology, The Second Hospital of Hebei Medical University, 215 Peace Road West, Shijiazhuang, 050000, Hebei, China.
Peng ZhaoDepartment of Nephrology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, 710004, China.
Xuemei ZhangDepartment of Pelvic Floor Clinic, Cangzhou Central Hospital, Cangzhou, 061000, Hebei, China.
Pan ZhaoDepartment of Reproductive Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, 050000, Hebei, China.
Xianghang SunDepartment of Gynecology, The Second Hospital of Hebei Medical University, 215 Peace Road West, Shijiazhuang, 050000, Hebei, China.
Mingle ZhangDepartment of Gynecology, The Second Hospital of Hebei Medical University, 215 Peace Road West, Shijiazhuang, 050000, Hebei, China.
Yanpeng TianDepartment of Gynecology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China.
Li FenDepartment of Gynecology, The Fourth Hospital of Shijiazhuang, Shijiazhuang, 050011, Hebei, China.
Jiahua ZhengDepartment of Gynecology, The Second Hospital of Hebei Medical University, 215 Peace Road West, Shijiazhuang, 050000, Hebei, China. xiaodelan17@163.com.
Xianghua HuangDepartment of Gynecology, The Second Hospital of Hebei Medical University, 215 Peace Road West, Shijiazhuang, 050000, Hebei, China. huangxh2022@hebmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIntrauterine adhesions (IUAs) is a gynecological condition with a poor therapeutic prognosis, that severely threatens the fertility and the reproductive physiology and psychological health of women. Our previous research on the use of umbilical cord mesenchymal stem cells (HUCMSCs) for treating IUAs revealed that CM-Dil-labelled HUCMSCs were barely distributed in the endometrial epithelium. Instead, these cells were predominantly found in the myometrium, with no statistically significant difference in distribution compared to the endometrial stromal cells. Therefore, we aimed to explore the associations between the myometrium and IUAs.

methodsEight patients with moderate and 5 severe lesional IUAs were included in the experimental group. The control group included 7 patients whose inner and outer myometrium were normal. We used H&E, Masson's trichrome and immunohistochemical staining to obtain the pathological features of the tissues. Transcriptomic and proteomic analyses were conducted to identify differentially expressed genes, proteins and enrichment pathways.

resultsBoth IUAs lesion tissues expressed the smooth muscle markers α-SMA and H-caldesmon, and there was no significant difference between severe IUAs tissue and normal myometrium (p > 0.05). Transcriptomic and proteomic data revealed that genes and proteins involved in cell mitosis, such as KIF14, KIF4A, and CIT, were downregulated in both IUAs lesion tissues compared with the inner myometrium (p < 0.05). Additionally, some genes or proteins that participate in activating the complement-coagulation cascade system and extracellular matrix (ECM) degradation also significantly differed (p < 0.05).

conclusionsTranscriptomic and proteomic data revealed a correlation between endometrial injury and the myometrium. These findings preliminarily revealed that the myometrium possibly contributes to the aetiology and progression of IUAs through dual mechanisms. On the one hand, the myometrium inhibits endometrial regeneration by suppressing the cell mitogenic pathway. On the other hand, it promotes fibrosis by activating the complement-coagulation cascade system and inhibiting the ECM degradation pathway. These new findings increase our understanding of the pathogenesis of IUAs and potentially contribute to the application of precision clinical treatment for IUAs.

Indexed as

MyometriumTranscriptomeUterine DiseasesAdultFemaleHumansProteomicsTissue AdhesionsIntrauterine adhesionsIntrauterine myometriumProteomicsTranscriptomics

Identifiers

PMID40217245
PMCPMC11987226

What Socratic holds

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LicenceCC BY-NC-ND
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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.