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Protective properties of extracellular vesicles in sepsis models: a systematic review and meta-analysis of preclinical studies
BACKGROUND: Multiple preclinical studies have reported a beneficial effect of extracellular vesicles (EVs), especially mesenchymal stem cells derived EVs (MSC-EVs), in the treatment of sepsis. However, the therapeutic effect of EVs is still not universally recognized. Therefore, we conducted this me...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10108460/ https://www.ncbi.nlm.nih.gov/pubmed/37069645 http://dx.doi.org/10.1186/s12967-023-04121-7 |
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author | Yang, Shujun Zhang, Kanglong Hou, Jingyu Liu, Xin Xu, Daishi Chen, Xuxiang Li, Shuangmei Hong, Yinghui Zhou, Changqing Wu, Hao Zheng, Guanghui Zeng, Chaotao Wu, Haidong Fu, Jiaying Wang, Tong |
author_facet | Yang, Shujun Zhang, Kanglong Hou, Jingyu Liu, Xin Xu, Daishi Chen, Xuxiang Li, Shuangmei Hong, Yinghui Zhou, Changqing Wu, Hao Zheng, Guanghui Zeng, Chaotao Wu, Haidong Fu, Jiaying Wang, Tong |
author_sort | Yang, Shujun |
collection | PubMed |
description | BACKGROUND: Multiple preclinical studies have reported a beneficial effect of extracellular vesicles (EVs), especially mesenchymal stem cells derived EVs (MSC-EVs), in the treatment of sepsis. However, the therapeutic effect of EVs is still not universally recognized. Therefore, we conducted this meta-analysis by summarizing data from all published studies that met certain criteria to systematically review the association between EVs treatment and mortality in animal models of sepsis. METHODS: Systematic retrieval of all studies in PubMed, Cochrane and Web of Science that reported the effects of EVs on sepsis models up to September 2022. The primary outcome was animal mortality. After screening the eligible articles according to inclusion and exclusion criteria, the inverse variance method of fixed effect model was used to calculate the joint odds ratio (OR) and 95% confidence interval (CI). Meta-analysis was performed by RevMan version 5.4. RESULTS: In total, 17 studies met the inclusion criteria. Meta-analysis of those studies showed that EVs treatment was associated with reduced mortality in animal models of sepsis (OR 0.17 95% CI: 0.11,0.26, P < 0.001). Further subgroup analysis showed that the mode of sepsis induction, the source, dose, time and method of injection, and the species and gender of mice had no significant effect on the therapeutic effect of EVs. CONCLUSION: This meta-analysis showed that MSC-EVs treatment may be associated with lower mortality in animal models of sepsis. Subsequent preclinical studies will need to address the standardization of dose, source, and timing of EVs to provide comparable data. In addition, the effectiveness of EVs in treating sepsis must be studied in large animal studies to provide important clues for human clinical trials. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-023-04121-7. |
format | Online Article Text |
id | pubmed-10108460 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-101084602023-04-18 Protective properties of extracellular vesicles in sepsis models: a systematic review and meta-analysis of preclinical studies Yang, Shujun Zhang, Kanglong Hou, Jingyu Liu, Xin Xu, Daishi Chen, Xuxiang Li, Shuangmei Hong, Yinghui Zhou, Changqing Wu, Hao Zheng, Guanghui Zeng, Chaotao Wu, Haidong Fu, Jiaying Wang, Tong J Transl Med Review BACKGROUND: Multiple preclinical studies have reported a beneficial effect of extracellular vesicles (EVs), especially mesenchymal stem cells derived EVs (MSC-EVs), in the treatment of sepsis. However, the therapeutic effect of EVs is still not universally recognized. Therefore, we conducted this meta-analysis by summarizing data from all published studies that met certain criteria to systematically review the association between EVs treatment and mortality in animal models of sepsis. METHODS: Systematic retrieval of all studies in PubMed, Cochrane and Web of Science that reported the effects of EVs on sepsis models up to September 2022. The primary outcome was animal mortality. After screening the eligible articles according to inclusion and exclusion criteria, the inverse variance method of fixed effect model was used to calculate the joint odds ratio (OR) and 95% confidence interval (CI). Meta-analysis was performed by RevMan version 5.4. RESULTS: In total, 17 studies met the inclusion criteria. Meta-analysis of those studies showed that EVs treatment was associated with reduced mortality in animal models of sepsis (OR 0.17 95% CI: 0.11,0.26, P < 0.001). Further subgroup analysis showed that the mode of sepsis induction, the source, dose, time and method of injection, and the species and gender of mice had no significant effect on the therapeutic effect of EVs. CONCLUSION: This meta-analysis showed that MSC-EVs treatment may be associated with lower mortality in animal models of sepsis. Subsequent preclinical studies will need to address the standardization of dose, source, and timing of EVs to provide comparable data. In addition, the effectiveness of EVs in treating sepsis must be studied in large animal studies to provide important clues for human clinical trials. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-023-04121-7. BioMed Central 2023-04-17 /pmc/articles/PMC10108460/ /pubmed/37069645 http://dx.doi.org/10.1186/s12967-023-04121-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Review Yang, Shujun Zhang, Kanglong Hou, Jingyu Liu, Xin Xu, Daishi Chen, Xuxiang Li, Shuangmei Hong, Yinghui Zhou, Changqing Wu, Hao Zheng, Guanghui Zeng, Chaotao Wu, Haidong Fu, Jiaying Wang, Tong Protective properties of extracellular vesicles in sepsis models: a systematic review and meta-analysis of preclinical studies |
title | Protective properties of extracellular vesicles in sepsis models: a systematic review and meta-analysis of preclinical studies |
title_full | Protective properties of extracellular vesicles in sepsis models: a systematic review and meta-analysis of preclinical studies |
title_fullStr | Protective properties of extracellular vesicles in sepsis models: a systematic review and meta-analysis of preclinical studies |
title_full_unstemmed | Protective properties of extracellular vesicles in sepsis models: a systematic review and meta-analysis of preclinical studies |
title_short | Protective properties of extracellular vesicles in sepsis models: a systematic review and meta-analysis of preclinical studies |
title_sort | protective properties of extracellular vesicles in sepsis models: a systematic review and meta-analysis of preclinical studies |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10108460/ https://www.ncbi.nlm.nih.gov/pubmed/37069645 http://dx.doi.org/10.1186/s12967-023-04121-7 |
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