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DOI 10.1111/cns.70357

Медицинская библиотека · CNS neuroscience & therapeutics · 2025

Efficacy and Potential Mechanisms of Umbilical Cord-Derived Mesenchymal Stem Cells in the Treatment of Ischemic Stroke in Animal Models: A Meta-Analysis.

Wei Renli, Yang Minguang, Cao Yue, Qiu Shuqian, Fan Xu, Fang Muxuan, Chen Li, Cheng Shaojie, Li Jianhong, Zhang Shenghang

СтатьяМетаанализСистематический обзорПоддержка исследования: вне правительства СШАПеревод пока не подготовлен

Аннотация

BACKGROUND

Umbilical cord-derived mesenchymal stem cells (UCMSCs) have emerged as a promising treatment for ischemic stroke. This study aimed to evaluate the therapeutic efficacy and potential mechanisms of UCMSCs in treating ischemic stroke.

METHODS

A systematic search of PubMed, Web of Science, and Embase was conducted up to April 25, 2024. Literature was screened based on the PICOS principle, with predefined inclusion and exclusion criteria. Relevant data were extracted and analyzed using Review Manager 5.4.

RESULTS

Out of 1390 retrieved articles, 30 were included in the meta-analysis. UCMSCs significantly reduced infarct size and volume, improved neurological deficit scores, and facilitated neurobehavioral recovery. UCMSCs treatment also modulated inflammatory cytokine levels in brain tissue and serum, promoted microglial polarization, inhibited apoptosis, and increased vessel density in the peri-infarct tissue.

CONCLUSIONS

UCMSCs administration significantly promoted the neurological function recovery after ischemic stroke. Their mechanisms of action may be related to immune response regulation, inhibition of apoptosis, and promotion of angiogenesis. These findings provide theoretical guidance for improving the quality of basic research and clinical translation.

Для цитирования: Wei Renli, Yang Minguang, Cao Yue, Qiu Shuqian, Fan Xu, Fang Muxuan, Chen Li, Cheng Shaojie, Li Jianhong, Zhang Shenghang. Efficacy and Potential Mechanisms of Umbilical Cord-Derived Mesenchymal Stem Cells in the Treatment of Ischemic Stroke in Animal Models: A Meta-Analysis.. CNS neuroscience & therapeutics. 2025. DOI: 10.1111/cns.70357.

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