Abstract
Previous studies have demonstrated that bone marrow mesenchymal stem cell (BMSC) transplantation is a promising treatment strategy for pulmonary fibrosis. Although encouraging results have been obtained using animal models of bleomycin (BLM)-induced pulmonary fibrosis, it is evident that transplantation of BMSCs at various time-points after BLM administration has produced different results in terms of treatment efficacy. To shed light on the potential utility of BMSCs for the treatment of lung disease, the present study performed a meta-analysis to estimate the efficacy of BMSCs in animal models of BLM-induced pulmonary fibrosis, and compare early transplantation (BMSCs injected on the same day after administration of BLM) with late transplantation (BMSCs injected on the 14th day after administration of BLM). Relevant studies were retrieved from the MEDLINE, PubMed, Chinese Knowledge Infrastructure and WanFang databases using a comprehensive search approach. A total of 6 studies involving 228 model rats were included. Meta-analysis indicated that early BMSC transplantation was able to prevent or reduce BLM-induced alveolitis and pulmonary fibrosis, while late BMSC transplantation was able to reduce alveolitis, but there was no significant evidence regarding improvement of pulmonary fibrosis. Although BMSC therapy was identified to be generally beneficial in rodent models of BLM-induced pulmonary fibrosis, the efficacy of early transplantation appears to be more satisfactory; overall, the efficacy of transplantation of BMSCs at the acute inflammatory phase was more effective compared with that at the chronic fibrosis stage. Of note, regarding alveolitis and pulmonary fibrosis scores after late transplantation of BMSCs, the sensitivity analysis revealed that the scores were less stable; thus, this result must be interpreted with caution. Furthermore, the quality and methodology of the included studies was comparatively low. Therefore, higher-quality and more rigorous studies are required to validate the results of the present meta-analysis in the future.
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