ObjectiveTo investigate the present situation of input, output, outcome and impact of all registered community-based rehabilitation stations in Inner Mongolia in China, and analyze how the input predict the output, outcome and impact. MethodsFrom March 1st to April 30th, 2025, a questionnaire survey was conducted on all registered community-based rehabilitation stations in Inner Mongolia, covering four dimensions: input, output, outcome and impact. A total of 1 365 questionnaires were distributed. The input included four items: laws and policies, human resources, equipment and facilities, and rehabilitation information management. The output included two items: technical paths and benefits/effectiveness. The outcome included three items: coverage rates, rehabilitation interventions and functional results. The impact included two items: health and sustainability. Each item contained several questions, all of which were described in a positive way. Each question was scored from one to five. A lower score indicated that the situation of the community-based rehabilitation station was more in line with the content described in the question. Regression analysis was performed using the total score of each item of input dimension as independent variables, and the total scores of the output, outcome and impact dimensions as dependent variables. ResultsA total of 1 262 valid questionnaires were collected. The mean values of input, output, outcome and impact of community-based rehabilitation stations were 1.827 to 1.904, with coefficient of variation of 45.892% to 49.239%. The regression analysis showed that, rehabilitation information management, human resources, and laws and policies significantly predicted the output dimension (R² = 0.910, P < 0.001). Meanwhile, all four items in the input dimension predicted both the outcome (R² = 0.850, P < 0.001) and impact dimensions (R² = 0.833, P < 0.001). ConclusionInput, output, outcome and impact of the community-based rehabilitation stations in Inner Mongolia were generally in line with the content of the questions, although some imbalances were observed. Additionally, the input of community-based rehabilitation stations could significantly predict their output, outcome and impact.

Objective To introduce the causes of accidents and the diagnosis and treatment of two patients with radiation-induced skin injury admitted to our hospital in 2023, and to provide a reference for the clinical treatment of subsequent radiation-induced skin injury. Methods The clinical treatment process of two patients with acute skin injury caused by external radiation exposure were summarized and analyzed. Results The exposure history of the two patients was reconstructed, the flaw detection scenario was simulated, the biological dose and hand skin exposure dose were estimated, and the infrared thermal imaging device was used for dynamic monitoring. A comprehensive analysis was conducted based on clinical manifestations and other data. The diagnosis of “Xie” was excessive exposure combined with acute radiation-induced skin injury on both hands (Grade IV for the right hand palm, index finger, and middle finger and Grade II for the left hand little finger). The diagnosis of “Hao” was acute radiation-induced skin injury on both hands (Grade I). The two patients received different clinical treatment measures: “Xie” was treated with both local and systemic therapies, while “Hao” was mainly treated with systemic therapy. Conclusion After systematic and effective treatment, the radiation-induced skin injuries healed in both patients.

Prostate cancer is the second most common malignancy and the sixth leading cause of cancer-related death in men worldwide. Radical prostatectomy (RP) is the standard treatment for localized prostate cancer, but the procedure often results in postoperative erectile dysfunction (ED). The poor efficacy of phosphodiesterase 5 inhibitors after surgery highlights the need to develop new therapies to enhance cavernous nerve regeneration and improve the erectile function of these patients. In the present study, we aimed to examine the potential of heparin-binding epidermal growth factor-like growth factor (HB-EGF) in preserving erectile function in cavernous nerve injury (CNI) mice. We found that HB-EGF expression was reduced significantly on the 1 st day after CNI in penile tissue. Ex vivo and in vitro studies showed that HB-EGF promotes major pelvic ganglion neurite sprouting and neuro-2a (N2a) cell migration. In vivo studies showed that exogenous HB-EGF treatment significantly restored the erectile function of CNI mice to 86.9% of sham levels. Immunofluorescence staining showed that mural and neuronal cells were preserved by inducing cell proliferation and reducing apoptosis and reactive oxygen species production. Western blot analysis showed that HB-EGF upregulated protein kinase B and extracellular signal-regulated kinase activation and neurotrophic factor expression. Overall, HB-EGF is a major promising therapeutic agent for treating ED in postoperative RP.
Animals ; Male ; Heparin-binding EGF-like Growth Factor/therapeutic use* ; Erectile Dysfunction/etiology* ; Mice ; Penis/drug effects* ; Nerve Regeneration/drug effects* ; Penile Erection/drug effects* ; Peripheral Nerve Injuries/drug therapy* ; Cell Proliferation/drug effects* ; Apoptosis/drug effects* ; Cell Movement/drug effects* ; Prostatectomy/adverse effects* ; Mice, Inbred C57BL ; Reactive Oxygen Species/metabolism*

Transformer models have emerged as pivotal tools within the realm of drug discovery, distinguished by their unique architectural features and exceptional performance in managing intricate data landscapes. Leveraging the innate capabilities of transformer architectures to comprehend intricate hierarchical dependencies inherent in sequential data, these models showcase remarkable efficacy across various tasks, including new drug design and drug target identification. The adaptability of pre-trained transformer-based models renders them indispensable assets for driving data-centric advancements in drug discovery, chemistry, and biology, furnishing a robust framework that expedites innovation and discovery within these domains. Beyond their technical prowess, the success of transformer-based models in drug discovery, chemistry, and biology extends to their interdisciplinary potential, seamlessly combining biological, physical, chemical, and pharmacological insights to bridge gaps across diverse disciplines. This integrative approach not only enhances the depth and breadth of research endeavors but also fosters synergistic collaborations and exchange of ideas among disparate fields. In our review, we elucidate the myriad applications of transformers in drug discovery, as well as chemistry and biology, spanning from protein design and protein engineering, to molecular dynamics (MD), drug target identification, transformer-enabled drug virtual screening (VS), drug lead optimization, drug addiction, small data set challenges, chemical and biological image analysis, chemical language understanding, and single cell data. Finally, we conclude the survey by deliberating on promising trends in transformer models within the context of drug discovery and other sciences.

Postoperative infection of internal fixation of closed fractures the lower limbs in adults represents a devastating complication, characterized by diagnostic challenges, prolonged treatment duration and high disability rates. Current management of these infections faces multiple challenges, such as difficulties in early accurate diagnosis, and various controversies about the treatment plan, leading to poor overall diagnosis and treatment results. To address these issues, based on evidence-based medicine and principles with emphasis on scientific rigor, clinical applicability and innovation, the Trauma Branch of the Chinese Medical Association, Orthopedic Branch of the Chinese Medical Doctor Association, Orthopedics Branch of the Chinese Medical Association, and Trauma Orthopedics and Polytrauma Group of the Resuscitation and Emergency Committee of the Chinese Medical Doctor Association have collaboratively organized a panel of relevant experts to develop the Guideline for diagnosis and treatment of infection after internal fixation of closed lower limb fractures in adults ( version 2025). The guideline proposed 10 recommendations, aiming to provide a foundation for standardized diagnosis and treatment of postoperative infection in adults with closed lower limb fractures.

Severe open tibiofibular fractures account for approximately 28.1% of all open fractures. Among them, Gustilo-Anderson type IIIB/C fractures present significant clinical challenges due to associated bone and soft tissue defects, high infection rates, and risk of amputation. Inadequate preoperative assessment may lead to suboptimal emergency surgical planning or intraoperative complications. Historically, external fixation was often preferred, but this approach has been associated with limitations such as restricted joint mobility, delayed bone union, joint stiffness, and disuse osteoporosis, resulting in poor functional recovery. With advancements of debridement techniques, standardization of antibiotic use, and popularization of early soft tissue coverage, early internal fixation has gained broader acceptance. Nevertheless, controversies persist regarding the choice of fixation method, timing of definitive fixation, use of reamed versus unreamed intramedullary nailing, and necessity of fibular fixation. To standardize the diagnosis and early management of severe open tibiofibular fractures, reduce complication rates, and improve functional recovery, the Society of Microsurgery of the Chinese Medical Association organized a panel of domestic experts to develop the Evidence-based guideline for the diagnosis and early fixation of severe open tibiofibular fractures ( version 2025), using evidence-based methodology. The guidelines provided 12 recommendations covering diagnostic and early fixation strategies of severe open tibiofibular fractures, aiming to provide clinicians with scientifically grounded and standardized guidance.

Objective:To investigate the effects of Clostridium butyricum on ulcerative colitis（UC）in mice and its impact on gut microbiota and autophagy levels. Methods:Eighteen C57BL/6J mice were randomly divided into a control group，a model group，and a treatment group，with six mice in each group using simple random sampling. Mice in the model and treatment groups were freely given 2.5% dextran sulfate sodium salt（DSS）solution for 5 days to establish a UC model. After successful modeling，the control and model groups were gavaged with PBS，while the treatment group was gavaged with 5×10 8 CFU/ml of live Clostridium butyricum. After the intervention，changes in body weight，disease activity index（DAI），colonic length，and pathological conditions were compared among the groups. Fluorescence quantitative PCR was used to detect the expression levels of intestinal inflammatory cytokines IL-1β and TNF-α. Myeloperoxidase（MPO）levels were analyzed，and Western blot was employed to detect the expression levels of zonula occludens-1（ZO-1），Occludin，LC3Ⅱ/LC3I，p62，and AMP-activated protein kinase/mammalian target of rapamycin AMPK/mTOR proteins. High-throughput sequencing technology was utilized to analyze the intestinal microbiota of the mice. Results:Compared with mice in the control group，the mice in the model group exhibited significant weight loss，markedly increased DAI and inflammation levels（ P<0.01），destruction of colonic structure，decreased expression levels of intestinal tight junction proteins（ P<0.05），suppressed autophagy levels（ P<0.05），and dysbiosis of the intestinal microbiota. In contrast，mice in the treatment group had a slower weight decline compared to the model group（ P<0.000 1），reduced DAI（ P<0.01），down-regulated inflammation levels（ P<0.01），improved barrier function（ P<0.05），up-regulated autophagy levels（ P<0.01），and an improved intestinal microbiota composition. Conclusions:Clostridium butyricum may ameliorate UC by modulating the intestinal microbiota composition，and enhancing autophagy levels，thus improving intestinal barrier function and inhibiting inflammatory progression in UC mice.

To evaluate the analytical performance of a specific IgE (sIgE) quantitative detection system and explore the clinical application effect of dust mite extract and component detection. The fluorescent magnetic particle chemiluminescence method was used to verify the analytical performance of sIgE for house dust mite (D1), dust mite (D2) extracts, and their components (Der p 1, Der p 2, Der p 10, and Der p 23), including precision, limit of blank (LoB), limit of detection (LoD), linear range, and interfering factors. This is a retrospective cohort study. A total of 50 patients with allergic rhinitis and 50 patients with allergic asthma diagnosed at Zhongshan Hospital Affiliated to Fudan University from January 2022 to August 2023 were selected, along with 70 apparently healthy individuals who underwent physical examinations in the hospital as the healthy control group. The positive rates of each sIgE component in the three groups were compared, and the receiver operating characteristic (ROC) curve for diagnosing dust mite allergy was plotted. The results showed that the fluorescent magnetic particle chemiluminescence method for detecting sIgE demonstrated good repeatability and intermediate precision within the range of 0.1-100 kU/L. The LoB, LoD, and linear range all met the specified requirements. Except for Der p 10, which was interfered by the presence of conjugated bilirubin and free bilirubin (exceeding 40 mg/dl), the detection of other allergens was not significantly affected by common endogenous substances. In healthy individuals, 10% had positive sIgE for dustmite extract; in asthmatic and allergic rhinitis patients, the positive rates were 70% and 82%, respectively. The double positive rate of D1 and D2 in the healthy group was 8.6%, while in asthmatic and allergic rhinitis patients, it was 66% and 70%, respectively. When 0.35 kU/L was used as the threshold, the sensitivity of sIgE for dust mite extract to predict component positivity was 100%, specificity was 61.5%, positive predictive value (PPV) was 80.2%, and negative predictive value (NPV) was 100%. When the threshold was optimized to 0.78 kU/L, the sensitivity was 96.8%, specificity was 92.1%, PPV was 95.2%, and NPV was 94.6%. In conclusion, the repeatability, intermediate precision, LoB, LoD, linear range, and anti-interference ability of the fluorescent magnetic particle chemiluminescence method for detecting sIgE meet the requirements of laboratory quality management. This ensures detection quality, meets clinical needs, and can be used for the auxiliary diagnosis of allergic diseases.

AIM To establish a rapid quantitative analysis model for saponins in Paris polyphylla var.yunnanensis(PPY)by near infrared spectroscopy.METHODS The contents of polyphyllins Ⅰ,Ⅱ,Ⅶ and there total content in PPY were determined by HPLC,while spectral data within the range of 10 000 to 4 000 cm-1 were collected.A quantitative analysis model was established by combining these data with partial least squares regression(PLSR).Multivariate scatter correction(MSC)and vector normalization(SNV)were applied prior to further preprocessing the spectra with original,first-order derivative(1stD),or second-order derivative(2ndD)treatments.Lastly,the model was optimized through non-smoothing(NS),Norris Derivative filtering(Nd),and Savitzky-Golay filtering(S-G)method.Model stability was evaluated based on correlation coefficients and variance.The predicted contents of each saponin component in the validation set samples were calculated.RESULTS The contents of polyphyllins Ⅰ,Ⅱ,Ⅶ were 0.42-17.98,0.46-10.44,0.23-3.86 mg/g,respectively.The total content ranged from 2.91 to 22.1 mg/g.The optimal parameters of three saponins were achieved when selecting the MSC+2ndD+S-G pretreatment method.The corresponding ratio of line segment length to segment gap was 13∶5,15∶5,11∶5,with correlation coefficients of 0.982,0.930,0.958,respectively.The root mean square errors of calibration(RMSEC)were 0.702,0.797,0.238,and the root mean square errors of prediction(RMSEP)were 1.120,0.835,0.304,respectively.The optimal parameters for the total content were obtained when selecting the MSC+2ndD+NS pretreatment method,with a correlation coefficient of 0.970,a RMSEC of 1.090,and a RMSEP of 1.740.CONCLUSION This accurate and rapid method can be used for detection of saponin contents in P.Polyphylla.

This tutorial addresses the current lack of standardized protocols for closed reduction and cast immobilization for distal radius fractures in China, along with a high incidence of the complications of these fractures. Based on the 2024 Evidence-Based Guidelines for Diagnosis and Treatment of Adult Distal Radius Fractures, it establishes a standardized operational procedure. Using the classic Colles fracture as an example, it provides a comprehensive and step-by-step explanations of the closed reduction and cast immobilization techniques, including detailed descriptions and schematic illustrations covering patient positioning, measurement, reduction maneuvers, cast fabrication, cast application, molding, and assessment.