Evidence map›Paper›PMID 39134827›Full record

ArticleMolecular neurobiology2025

Comprehensive Analysis and In Vitro Verification of Endothelial-Mesenchymal Transition-Related Genes in Moyamoya Disease.

Junsheng Li, Qiheng He, Zhiyao Zheng, Chenglong Liu, Bojian Zhang, Siqi Mou, Chaofan Zeng, Wei Sun, Wei Liu, Peicong Ge and 2 more

Abstract read
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In one paragraph

Article in Molecular neurobiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
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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

12 authors.

Junsheng Li *Department of Neurosurgery, Fengtai District, Beijing Tiantan Hospital, Capital Medical University, No. 119 Nan Si Huan Xi Road, Beijing, 100070, China.
Qiheng He *Department of Neurosurgery, Fengtai District, Beijing Tiantan Hospital, Capital Medical University, No. 119 Nan Si Huan Xi Road, Beijing, 100070, China.
Zhiyao ZhengDepartment of Neurosurgery, Fengtai District, Beijing Tiantan Hospital, Capital Medical University, No. 119 Nan Si Huan Xi Road, Beijing, 100070, China.
Chenglong LiuDepartment of Neurosurgery, Fengtai District, Beijing Tiantan Hospital, Capital Medical University, No. 119 Nan Si Huan Xi Road, Beijing, 100070, China.
Bojian ZhangDepartment of Neurosurgery, Fengtai District, Beijing Tiantan Hospital, Capital Medical University, No. 119 Nan Si Huan Xi Road, Beijing, 100070, China.
Siqi MouDepartment of Neurosurgery, Fengtai District, Beijing Tiantan Hospital, Capital Medical University, No. 119 Nan Si Huan Xi Road, Beijing, 100070, China.
Chaofan ZengDepartment of Neurosurgery, Fengtai District, Beijing Tiantan Hospital, Capital Medical University, No. 119 Nan Si Huan Xi Road, Beijing, 100070, China.
Wei SunDepartment of Neurosurgery, Fengtai District, Beijing Tiantan Hospital, Capital Medical University, No. 119 Nan Si Huan Xi Road, Beijing, 100070, China.
Wei LiuDepartment of Neurosurgery, Fengtai District, Beijing Tiantan Hospital, Capital Medical University, No. 119 Nan Si Huan Xi Road, Beijing, 100070, China.
Peicong GeDepartment of Neurosurgery, Fengtai District, Beijing Tiantan Hospital, Capital Medical University, No. 119 Nan Si Huan Xi Road, Beijing, 100070, China. gepeicong@163.com.
Dong ZhangChina National Clinical Research Center for Neurological Diseases, Beijing, China. zhangdong0660@aliyun.com.
Jizong ZhaoDepartment of Neurosurgery, Fengtai District, Beijing Tiantan Hospital, Capital Medical University, No. 119 Nan Si Huan Xi Road, Beijing, 100070, China. zhaojizong@bjtth.org.

Funding

National Natural Science Foundation of China 82301451
6 · The paper itself

Abstract

Moyamoya disease (MMD) is a rare, chronic, and progressive cerebrovascular disorder with unclear underlying causes and mechanisms. Previous studies suggest a potential involvement of endothelial-mesenchymal transition (EndMT) in the pathogenesis of MMD. This study aimed to explore the contribution of EndMT-related genes (ERGs) in MMD. Two datasets, GSE141022 and GSE157628, were integrated as the training set after batch effects removal. Differentially expressed ERGs were identified between MMD and control groups. Functional enrichment analysis and immune infiltration analysis were further performed. LASSO regression was used for hub MMD-related ERG selection. Consensus clustering was used for MMD subtype classification based on these hub MMD-related ERGs. Molecular characteristics between MMD subtypes were analyzed using WGCNA. PPI network was used to illuminate the genetic relationship. The hub MMD-related ERGs were validated in an independent testing set, GSE189993. The nomogram model was constructed and evaluated using ROC curves and calibration plots. Additionally, CCK-8, EdU, wound healing, and western blot were performed to confirm the function of the hub MMD-related ERGs. A total of 107 DE-ERGs were identified. Functional enrichment analysis showed these genes were associated with EndMT and immune response. The infiltrating levels of immune cells were commonly higher in the MMD group. LASSO regression identified 12 hub MMD-related ERGs, leading to the identification of two MMD subtypes. Four ERGs emerged as the final hub MMD-related ERGs after validation in the testing set, including CCL21, CEBPA, KRT18, and TNFRSF11A. The nomogram model exhibited excellent discrimination ability. In vitro experiments showed that CCL21, CEBPA, KRT18, and TNFRSF11A could promote proliferation, migration, and EndMT. This study investigated the potential role of EndMT in MMD and identified four hub MMD-related ERGs, providing potential therapeutic targets for MMD treatment.

Indexed as

Epithelial-Mesenchymal TransitionMoyamoya DiseaseEndothelial-Mesenchymal TransitionGene Regulatory NetworksHumansNomogramsProtein Interaction MapsBiomarkerEndothelial-mesenchymal transitionMoyamoya diseasePathogenesisRisk factor

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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 OpenQuestion graph.