Objective: The aim of this study was to investigate the effect of electroacupuncture (EA) on recovery from acute sciatic nerve crush injury and the expression of pS6 in rats. Methods: A total of 108 adult male Sprague–Dawley rats were randomly divided into control, model, EA and EA+rapamycin (EA+Rapa) groups. 28 rats were allocated to undergo measurement of sciatic functional index (SFI); one rat in the EA+Rapa group was unsuccessfully modelled and excluded because of an anaesthetic problem. The remaining 80 rats were allocated to undergo Western blot detection of S6 ribosomal protein (pS6, ser240/244). The model was created by mechanical clamping of the sciatic nerve stem. EA stimulation at GB30 and ST36 for 15 min separately was applied once daily for rats in the EA and EA+Rapa groups. For rats in the EA+Rapa group, rapamycin, a mammalian target of rapamycin (mTor) pathway inhibitor, was injected intramuscularly (1 mg/kg/day) near the site of crush injury in the sciatic nerve and an equivalent amount of dimethyl sulfoxide was injected in the other three groups every other day. After treatment for 7, 14, 28 and 42 days post-operation, the SFI of 27 rats was obtained to evaluate recovery of motor function and five rats from each group per stage were used for Western blot detection of pS6. Results: The SFI values showed that EA could significantly promote recovery of the injured sciatic nerve but rapamycin hindered the therapeutic effect of EA. Moreover, immunoblotting indicated that EA improved the expression of pS6 in the area of the sciatic nerve crush injury and local injection of rapamycin near the injured sciatic nerve decreased its expression. The pS6 level correlated with the extent of recovery of the injury. Conclusions: This study indicated that EA may activate the mTOR signalling pathway to enhance expression of pS6 and facilitate recovery following sciatic nerve crush injury.
Objective Botulinum toxin (Btx) therapy has emerged as a potential treatment for patients with Raynaud phenomenon (RP) in recent years. This study aimed to investigate the efficacy and safety of Btx treatment for RP. Methods Databases of PubMed, EMBASE, Web of Science, and the Cochrane Central Register of Controlled Trials were searched from their inception up to August 2022. Studies that reported Btx use for the treatment of RP were included. A meta-analysis was conducted for the Shortened version of the Disabilities of the Arm, Shoulder, and Hand (Quick DASH) score and visual analog scale pain score using a random-effects model. Results Thirteen full-text studies were included. The pooled standard mean changes for the visual analog scale pain score and QuickDASH score were −3.82 (95% confidence interval, −6.62 to −1.02) and 0.83 (95% confidence interval, −1.47 to −0.19), respectively. The 2 most common complications were injection site pain and intrinsic hand weakness. Conclusions The effect of Btx treatment on RP is promising based on current evidence. Nevertheless, more studies and randomized clinical trials with larger sample sizes are needed to confirm the current results.
Background. The use of adjuvant radiotherapy (RT) for well-differentiated liposarcoma (WD-LPS) patients with positive surgical margins is unclear. We aim to compare the overall survival (OS) and cancer-specific survival (CSS) of well-differentiated liposarcoma patients with positive surgical margins in an RT group and non-RT group. Methods. WD-LPS patients with positive margins from 2000 to 2018 were extracted from the Surveillance, Epidemiology, and End Results (SEER) database and divided into two groups: RT group and non-RT group. Kaplan–Meier survival analysis with the log-rank test was performed to evaluate the difference of overall survival (OS) and cancer-specific survival (CSS) between groups. Univariate and multivariate Cox proportional hazard analyses were performed to identify important prognostic factors of OS and CSS. Analyses were adjusted using propensity-score matching. Results. We identified 2549 patients: 377 (14.79%) with RT and 2172 (85.21%) without RT. The median age was 61 years, and the median follow-up time was 68 months. The log-rank test revealed that there was no significant difference of CSS between RT and non-RT groups ( P = 0.81 ). The 5-year and 10-year CSS were comparable ( P = 0.418 and P = 0.987 ). Additionally, the use of RT was neither an independent prognostic factor for OS nor CSS. Age, sex, tumor site, the use of chemotherapy were independent prognostic factors for OS after propensity score matching, while race and the tumor site were independent prognostic factors for CSS. Conclusion. Adjuvant RT had no significant improvement on OS and CSS of WD-LPS patients with positive surgical margins.
Background The detection and dissection of epidermal subgroups could lead to an improved understanding of skin homeostasis and wound healing. Flow cytometric analysis provides an effective method to detect the surface markers of epidermal cells while producing high-dimensional data files. Methods A 9-color flow cytometric panel was optimized to reveal the heterogeneous subgroups in the epidermis of human skin. The subsets of epidermal cells were characterized using automated methods based on dimensional reduction approaches (viSNE) and clustering with Spanning-tree Progression Analysis of Density-normalized Events (SPADE). Results The manual analysis revealed differences in epidermal distribution between body sites based on a series biaxial gating starting with the expression of CD49f and CD29. The computational analysis divided the whole epidermal cell population into 25 clusters according to the surface marker phenotype with SPADE. This automatic analysis delineated the differences between body sites. The consistency of the results was confirmed with PhenoGraph. Conclusion A multicolor flow cytometry panel with a streamlined computational analysis pipeline is a feasible approach to delineate the heterogeneity of the epidermis in human skin.
BackgroundThe detection and dissection of epidermal subgroups could lead to an improved understanding of skin homeostasis and wound healing. Flow cytometric analysis provides an effective method to detect the surface markers of epidermal cells while producing high-dimensional data files.MethodsA 9-color flow cytometric panel was optimized to reveal the heterogeneous subgroups in the epidermis of human skin. The subsets of epidermal cells were characterized using automated methods based on dimensional reduction approaches (viSNE) and clustering with Spanning-tree Progression Analysis of Density-normalized Events (SPADE).ResultsThe manual analysis revealed differences in epidermal distribution between body sites based on a series biaxial gating starting with the expression of CD49f and CD29. The computational analysis divided the whole epidermal cell population into 25 clusters according to the surface marker phenotype with SPADE. This automatic analysis delineated the differences between body sites. The consistency of the results was confirmed with PhenoGraph.ConclusionA multicolor flow cytometry panel with a streamlined computational analysis pipeline is a feasible approach to delineate the heterogeneity of the epidermis in human skin.
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