Identification of key genes and pathways of BMP-9-induced osteogenic differentiation of mesenchymal stem cells by integrated bioinformatics analysis.

BACKGROUND: The purpose of present study was to identify the differentially expressed genes (DEGs) associated with BMP-9-induced osteogenic differentiation of mesenchymal stem cells (MSCs) by using bioinformatics methods. METHODS: Gene expression profiles of BMP-9-induced MSCs were compared between with GFP-induced MSCs and BMP-9-induced MSCs. GSE48882 containing two groups of gene expression profiles, 3 GFP-induced MSC samples and 3 from BMP-9-induced MSCs, was downloaded from the Gene Expression Omnibus (GEO) database. Then, DEGs were clustered based on functions and signaling pathways with significant enrichment analysis. Pathway enrichment analysis using the Kyoto Encyclopedia of Genes and Genomes (KEGG) demonstrated that the identified DEGs were potentially involved in cytoplasm, nucleus, and extracellular exosome signaling pathway. RESULTS: A total of 1967 DEGs (1029 upregulated and 938 downregulated) were identified from GSE48882 datasets. R/Bioconductor package limma was used to identify the DEGs. Further analysis revealed that there were 35 common DEGs observed between the samples. GO function and KEGG pathway enrichment analysis, among which endoplasmic reticulum, protein export, RNA transport, and apoptosis was the most significant dysregulated pathway. The result of protein-protein interaction (PPI) network modules demonstrated that the Hspa5, P4hb, Sec61a1, Smarca2, Pdia3, Dnajc3, Hyou1, Smad7, Derl1, and Surf4 were the high-degree hub nodes. CONCLUSION: Taken above, using integrated bioinformatical analysis, we have identified DEGs candidate genes and pathways in BMP-9 induced MSCs, which could improve our understanding of the key genes and pathways for BMP-9-induced osteogenic of MSCs.

Proprioceptive training on the recovery of total knee arthroplasty patients: A meta-analysis protocol of randomized controlled trial.

BACKGROUND: Total knee arthroplasty is a common surgery for end-stage of knee osteoarthritis. Proprioceptive training has become an important part in athletes training programmes in different sports. However, the effects of proprioceptive training on the recovery of total knee arthroplasty were unknown. This meta-analysis, with its comprehensive and rigorous methodology, will provide better insight into this problem. METHODS AND ANALYSIS: Electronic databases including PubMed, EMBASE, Web of Science, China National Knowledge Infrastructure (CNKI) database, Wanfang Database and Chinese Biomedical Literature Database (CBM) were searched from its inception to October 21, 2020. We only included proprioceptive training vs placebo in patients after total knee arthroplasty and pooled results were summarized by STATA 12.0 software. Two researchers independently selected the study and assessed the quality of the included studies. The heterogeneity was measured by I2 tests (I2 < 50 indicates little heterogeneity, I2 ≥ 50 indicates high heterogeneity). Publication bias was ruled out by funnel plot and statistically assessed by Beggs test (P > .05 as no publication bias). RESULTS: Results will be published in relevant peer-reviewed journals. CONCLUSION: Our study aims to systematically present the clinical effects of proprioceptive training after total knee arthroplasty patients, which will be provide clinical guidance for total knee arthroplasty patients.

Efficacy of balance training for hip fracture patients: a meta-analysis of randomized controlled trials.

BACKGROUND: To investigate whether the clinical effects of balance training were improved in hip fracture patients. METHODS: Electronic databases which included PubMed, Embase, Web of Science, and the Cochrane Library up to December 2018 were searched. High-quality randomized controlled trials (RCTs) and prospective clinical controlled studies were selected based on inclusion criteria. Stata 12.0 was used for the meta-analysis. Standard mean difference (SMD) with 95% confidence interval (CI) was used to assess the effects. RESULTS: Finally, 9 studies with 872 patients (balance training = 445, control = 427) were included in our meta-analysis (published between 1997 and 2018). Compared with the control group, balance training group showed a significant increase in overall function (SMD = 0.59, 95% CI [0.25, 0.93], P = 0.001), gait speed (SMD = 0.63, 95% CI [0.19, 1.07], P = 0.005), lower limb strength (SMD = 0.73, 95% CI [0.50, 0.95], P = 0.000), activities of daily living (ADLs) (SMD = 0.97, 95% CI [0.61, 1.34], P = 0.000), performance task scores (SMD = 0.41, 95% CI [0.21, 0.61], P = 0.000), and health-related quality of life (HRQoL) scores (SMD = 0.32, 95% CI [0.16, 0.47], P = 0.000). CONCLUSIONS: Our meta-analysis revealed that the balance training group has improved overall physical functioning, gait, lower limb strength, performance task, and activity of daily living than the control group. More high-quality and large-scale RCTs are needed to identify the optimal regimen of balance training after hip fracture.