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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.
- 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