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Optimal therapeutic conditions for the neural stem cell-based management of ischemic stroke: a systematic review and network meta-analysis based on animal studies.

Authors :
Yang, Yongna
Hu, Xurui
Qin, Qijie
Kong, Fanling
Peng, Xiaolan
Zhao, Jing
Si, Jianghua
Yang, Zhilong
Xie, Shoupin
Source :
BMC Neurology; 9/13/2022, Vol. 22 Issue 1, p1-15, 15p
Publication Year :
2022

Abstract

<bold>Background: </bold>In order to promote the clinical translation of preclinical findings, it is imperative to identify the most optimal therapeutic conditions and adopt them for further animal and human studies. This study aimed to fully explore the optimal conditions for neural stem cell (NSC)-based ischemic stroke treatment based on animal studies.<bold>Methods: </bold>The PubMed, Ovid-Embase, and Web of Science databases were searched in December 2021. The screening of search results, extraction of relevant data, and evaluation of study quality were performed independently by two reviewers.<bold>Results: </bold>In total, 52 studies were included for data analysis. Traditional meta-analysis showed that NSCs significantly reduced the modified neurological severity score (mNSS) and volume of cerebral infarct in animal models of ischemic stroke. Network meta-analysis showed that allogeneic embryonic tissue was the best source of NSCs. Further, intracerebral transplantation was the most optimal route of NSC transplantation, and the acute phase was the most suitable stage for intervention. The optimal number of NSCs for transplantation was 1-5×105 in mouse models and 1×106 or 1.8×106 in rat models.<bold>Conclusions: </bold>We systematically explored the therapeutic strategy of NSCs in ischemic stroke, but additional research is required to develop optimal therapeutic strategies based on NSCs. Moreover, it is necessary to further improve and standardize the design, implementation, measuring standards, and reporting of animal-based studies to promote the development of better animal experiments and clinical research. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14712377
Volume :
22
Issue :
1
Database :
Complementary Index
Journal :
BMC Neurology
Publication Type :
Academic Journal
Accession number :
159053827
Full Text :
https://doi.org/10.1186/s12883-022-02875-z