ObjectiveTo address the shortage of high-caliber multidisciplinary professionals in China's rehabilitation engineering field and the prominent issue of "separation between medicine and engineering" in existing curricula, this study introduces the World Health Organization rehabilitation competency framework (RCF) to construct a systematic curriculum system for rehabilitation engineering. MethodsGuided by the four core competency domains of RCF (practice, professionalism, learning and development, management and leadership) and their associated supporting knowledge, the rehabilitation engineering curriculum was restructured into a modular framework, piloted and validated within the Biomedical Engineering (Intelligent Robotics) program at University of Health and Rehabilitation Sciences. ResultsA four-tiered curriculum system comprising General Education-Disciplinary Platform-Professional Core-Diverse Electives with a total of 160 credits was established, achieving precise mapping between competency objectives and course content. The students in the pilot cohort demonstrated outstanding academic performance (50% ranked in the top ten of their major), they also gained a deeper understanding and mastery of interdisciplinary knowledge integrating medicine and engineering. ConclusionThe RCF-based curriculum system effectively promotes the organic integration of medical and engineering knowledge, providing an internationally aligned competency-oriented paradigm for rehabilitation engineering talent cultivation, which holds significant value for broader application.

Objective:Mendelian randomization analysis (MR) was used to investigate the causal association between nine cathepsins and cholelithiasis.Methods:Single nucleotide polymorphism (SNP) sites closely associated and mutually independent with nine cathepsins and cholelithiasis were screened out from the Genome-Wide Association Study database and the FinnGen Biobank database, respectively. SNP corresponding to exposure factors were selected as instrumental variables. Two-sample bidirectional MR analysis was conducted with methods of inverse variance weighted (IVW), weighted median and MR-Egger regression. Additionally, multivariable Mendelian randomization (MVMR) was conducted to estimate the direct effect of cathepsins on cholelithiasis. Cochran's Q test, MR-PRESSO method and MR Egger regression were used to evaluate the levels of heterogeneity and pleiotropy. And the leave-one-out method was performed for the sensitivity analysis. Results:The univariable Mendelian randomization analysis results indicated that elevated cathepsin B levels increased the overall risk of cholelithiasis (IVW: OR=1.054, 95% CI: 1.025-1.083, P<0.001). The reverse MR analyses did not support a causal effect of cholelithiasis on cathepsin B (IVW: OR=0.998, 95% CI: 0.920-1.083, P=0.969). A multivariable analysis showed that elevated cathepsin B levels were still strongly associated with an increased risk of cholelithiasis (IVW: OR=1.038, 95% CI: 1.003-1.073, P=0.031). None evidence of significant pleiotropy and heterogeneity was observed, which was verified by sensitivity analysis. Conclusion:Cathepsin B may serve as a marker for cholelithiasis, and has important guiding significance in cholelithiasis treatment.

Objective To explore the effects and mechanisms of Sanzi Sijun Formula(SSF)in non-alcoholic fatty liver disease(NAFLD)through network pharmacology,molecular docking and molecular dynamics simulation;To carry out experimental validation in vivo and in vitro.Methods The active components and target genes of SSF were screened using TCMSP,TCMIP and TCMIO databases.NAFLD-related targets were screened using the GeneCards database,and the intersection targets were obtained to construct a protein-protein interaction network and screen for core targets.The intersection targets were imported into the DAVID database for GO and KEGG enrichment analysis.Molecular docking was performed using AutoDock Vina software between the key active components of SSF and core targets,and molecular dynamics simulations were conducted using Gromacs 2022 for 100 ns.C57BL/6J mice NAFLD model was established by diet induction.SSF was administered by gavage for 8 weeks.Liver histopathological changes and the levels of non-esterified fatty acids(NEFA)were detected.In vitro NAFLD model was established by inducing AML12 cells with palmitic acid(PA)for 24 hours.SSF-containing serum was added to incubate simultaneously.The lipid accumulation and cell viability were detected.The core targets of SSF intervention in the in vitro and in vivo NAFLD models were verified by RT-qPCR and Western blot.Results Network pharmacological analysis identified 75 active components in SSF and revealed 179 shared targets between these components and NAFLD.Ten main active components including arachidonate,12-senecioyl-2E,8E,10E-atractylodin,cerebrosterol,glycyrrhizol B and sinapic acid,etc.as well as 8 core targets were identified.GO enrichment analysis of targets mainly involved protein phosphorylation,inflammatory response,and apoptosis,while the KEGG enrichment analysis mainly included AGE-RAGE,TNF,AMPK,PPAR and NF-κB signaling pathways.Molecular docking demonstrated that the major active components of SSF exhibited favorable binding affinity and stability with the core targets.Molecular dynamics simulation confirmed the stability of the complex of glyasperin B with AKT1,SIRT1,STAT3,PPARG,and TNF.SSF alleviated the pathological damage of liver tissues in mice NAFLD model,reduced NAS score and NEFA levels in liver tissues(P<0.05).Additionally,SSF reversed lipid accumulation and decreased cell viability of PA-induced AML12 cells(P<0.01).Further in vivo and in vitro experiments demonstrated that SSF significantly reversed the elevated mRNA levels of TNF-α,IL-6,IL-1β and PPARγ and protein expression of STAT3(P<0.05,P<0.01)in NAFLD models,up-regulated the protein levels of SIRT1 and p-Akt/Akt(P<0.05,P<0.01).Conclusion SSF can improve NAFLD of both in vitro and in vivo models.The regulation of multiple targets,such as AKT,SIRT1,STAT3 and PPARG,by its multiple active components,and adjustment of multiple approaches,such as lipid metabolism disorder,inflammatory responses,are involved in the potential underlying mechanisms.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

ObjectiveTo assess the efficiency of a Sophora flavescens Ait (S. flavescens, Ku Shen)-soluble microneedle (SFA-MN) for improving skin lesion symptoms in mice with psoriasis.MethodsSFA-MNs were prepared using a two-mold molding process with 20% w/v polyvinylpyrrolidone and 15% w/v polyvinyl alcohol. The SFA-MNs were assessed for morphology, mechanical properties, in vitro dissolution, identification of components, and skin lesion improvement in imiquimod-induced psoriasis mice.ResultsThe SFA-MNs demonstrated good mechanical properties for efficiently penetrating the dermis, facilitating efficient drug delivery. Furthermore, they effectively inhibited mast cell levels in the dorsal lesion area of psoriasis mice and reduced the expression of the T-lymphocyte factor cluster of differentiation 3 and tumor necrosis factor-α. In addition, this system alleviated skin inflammation, splenic swelling, and thymic atrophy in the psoriasis-like mouse model. Seven major components were detected from SFA-MNs by comparison of the mass-to-nucleus ratios (m/z) of the secondary fragments N-methylcytisine, 5α, 9α-dihydroxymatrine, sophoramine, matrine, oxysophocarpine, oxymatrine, and kushenol O.ConclusionThe drug delivery strategy combining traditional herbal S. flavescens with soluble microneedle technology provides more targeted and effective immune regulation for treating psoriasis-like mice models, enabling enhanced therapeutic effects compared with the control group.

Objective To investigate the role of Glycoprotein non-metastatic melanoma protein B(GPNMB)in hypoxia-induced epithelial-mesenchymal transition(EMT)in human chorionic trophoblast HTR-8/SVneo cells.Methods HTR-8/SVneo cells were cultured in vitro to investigate the effect of hypoxia on GPNMB expression.The cells were transfected with either a GPNMB overexpression plasmid(pcDNA3.1-GPNMB),small interfering RNA targeting GPNMB(si-GPNMB-1/2),or their respective negative controls(pcDNA3.1-NC or si-NC),and were also treated with the autophagy agonist rapamycin(Rap).The experimental groups were categorized as follows:Normoxia,Hypoxia,Normoxia/Hypoxia+si-NC or si-GPNMB,Normoxia/Hypoxia+pcDNA3.1-NC or pcDNA3.1-GPNMB,Normoxia/Hypoxia+Rap,and Hypoxia+Rap+pcDNA3.1-NC or pcDNA3.1-GPNMB.GPNMB expression levels were evaluated using qRT-PCR,Western blotting,and immunofluorescence staining.The expression of autophagy-related proteins(LC3B Ⅱ/Ⅰ,p62)and epithelial-mesenchymal transition(EMT)markers(E-cadherin,N-cadherin)was analyzed by Western blotting.Cell migration and invasion capacities were assessed using wound healing and Transwell assays.Results Compared with the Normoxia group,the mRNA and protein levels of GPNMB were downregulated in the Hypoxia group.Additionally,the protein levels of p62 and N-cadherin were reduced,while LC3B Ⅱ/Ⅰ and E-cadherin expression levels were increased(P<0.05).Compared with the Hypoxia+si-NC group,the Hypoxia+si-GPNMB-2 group showed significantly decreased protein levels of p62 and N-cadherin,along with elevated levels of LC3B Ⅱ/Ⅰ and E-cadherin(P<0.05).Compared with the Hypoxia+pcDNA3.1-NC group,the Hypoxia+pcDNA3.1-GPNMB group exhibited opposite trends.Notably,compared with the Hypoxia group,the Hypoxia+Rap group showed increased LC3B Ⅱ/Ⅰ and E-cadherin levels,accompanied by reduced p62 and N-cadherin levels(P<0.05).However,compared with the Hypoxia+pcDNA3.1-GPNMB group,the Hypoxia+Rap+pcDNA3.1-GPNMB group attenuated the promoting effect of GPNMB overexpression on EMT in HTR-8/SVneo cells,as evidenced by decreased p62 and N-cadherin protein expression levels and increased LC3BⅡ/Ⅰ and E-cadherin protein expression levels(P<0.05).Conclusion In hypoxia-induced HTR-8/SVneo cells,GPNMB inhibits autophagy,promotes the epithelial-mesenchymal transition,and enhances cell migration and invasion.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Under the background of carbon peaking and carbon neutrality goals, the Ministry of Ecology and Environment, together with 15 national ministries and commissions, has formulated the Implementation Plan on Establishing a Carbon Footprint Management System, and it is urgent for traditional Chinese medicine(TCM) pharmaceutical enterprises to carry out research on carbon footprint accounting methods of related products. Based on the life cycle assessment(LCA) theory, taking mulberry leaf extract produced by a certain enterprise as an example, this study analyzed the carbon footprint of TCM extracts during the life cycle. The results show that for every 1 kg of product produced, the carbon emissions from the stages of raw material acquisition, transportation, and extract production are-20.569, 1.205, and 173.577 kgCO_2eq(CO_2 equivalent), respectively. The carbon footprint of the product is 154.213 kgCO_2eq·kg~(-1). In addition, the carbon emission is the highest in the production stage, in which the consumption of ethanol solvents makes the greatest contribution to the carbon footprint, accounting for 25.71%, more than one-fourth of the total carbon footprint. The second contribution was from the treatment process of TCM residues, accounting for 19.67%, closely followed by wastewater treatment(17.71%), the consumption of hot steam(17.43%), and drinking water(16.90%). The consumption of electric power and packaging materials has a smaller carbon emission of 2.58%. In particular, the carbon emission caused by the consumption of packaging materials is only 0.04%, which is negligible. The results of the study are expected to provide a reference for TCM enterprises to carry out research on the carbon footprint of products, offer ideas for collaborative innovation in reducing pollution and carbon emissions throughout the entire industry chain of TCM, and develop new quality productivity of modern TCM industry based on green and low-carbon manufacturing.
Morus/chemistry* ; Plant Leaves/chemistry* ; Carbon Footprint ; Drugs, Chinese Herbal/chemistry* ; Plant Extracts/analysis* ; Medicine, Chinese Traditional