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.

BACKGROUND:A network-based pharmacological approach has identified multifunctional effects of the main bioactive compounds in the Trichosanthis Fructus-Allii Macrostemonis Bulbus on coronary heart disease;however,the mechanism of its therapeutic effect on coronary heart disease has not been fully elucidated. OBJECTIVE:To investigate the role and mechanism of Trichosanthis Fructus-Allii Macrostemonis Bulbus in improving coronary heart disease by regulating the composition of gut microbiota. METHODS:Forty Sprague-Dawley rats were randomly divided into four groups:blank control group(n=10),model group(n=10),positive drug group(n=10),and medicine pair group(n=10).A rat model of coronary heart disease was established by continuous gastric perfusion of fat emulsion and injection of pituitrin.After modeling,rats in the model group were gavaged with distilled water(10 mL/kg)for control,rats in the positive drug group were gavaged with simvastatin 4 mg/kg per day,and rats in the medicine pair group were gavaged with Trichosanthis Fructus-Allii Macrostemonis Bulbus pairs 7.56 g/kg per day.All interventions lasted for 14 days.Electrocardiograms and myocardial pathology were observed,and blood lipid levels were measured.The structure of gut microbiota was analyzed using 16S rDNA sequencing technology. RESULTS AND CONCLUSION:Electrocardiogram results showed ST segment elevation in the model group.There were no significant abnormalities in the electrocardiograms of the positive drug group and medicine pair group.Compared with the blank control group,the levels of total cholesterol,triacylglycerol,and low-density lipoprotein cholesterol were significantly higher in the model group(P<0.05).Compared with the model group,the levels of total cholesterol,triacylglycerol,and low-density lipoprotein cholesterol were significantly lower in the positive drug group and medicine pair group(P<0.05).Compared with the blank control group,focal myocardial cell necrosis was observed in the model group,while partial myocardial cell disarray was observed in the positive drug group and medicine pair group.Compared with the blank control group,the Ace,Shannon,and Chao indices were increased(P<0.05)and the Simpson index was decreased(P<0.05)in the model group,positive drug group and medicine pair group.Compared with the model group,the Ace and Chao indices were decreased(P<0.05),while the Shannon index showed no significant difference(P>0.05)and the Simpson index was also decreased(P<0.05)in the positive drug group and medicine pair group.Compared with the blank control group,the relative abundances of Desulfovibrionia,Muribaculaceae_norank,etc.were increased in the model group,while those of Clostridia,[Eubacterium]_coprostanoligenes_group_norank,etc.were decreased.Compared with the model group,the relative abundances of WPS-2_norank,Muribaculaceae_norank,etc.were increased in the medicine pair group,while those of Clostridia,[Eubacterium]_coprostanoligenes_group_norank,etc.were decreased;the relative abundances of Desulfobacterota,[Eubacterium]_coprostanoligenes_group_norank,etc.were increased in the positive drug group,while those of Firmicutes,Muribaculaceae_norank,etc.were decreased.Compared with the positive drug group,the relative abundances of Desulfobacterota,Bacteroides,etc.were increased in the medicine pair group,while those of Firmicutes,[Eubacterium]_coprostanoligenes_group_norank,etc.were decreased.The LEfSe results showed that the medicine pair group had the highest microbial enrichment,followed by the blank control group and positive drug group,with the model group having the lowest microbial enrichment.To conclude,Trichosanthis Fructus-Allii Macrostemonis Bulbus pairs can improve the development of coronary heart disease by regulating gut microbiota composition,providing new insights for further research and development of Trichosanthis Fructus-Allii Macrostemonis Bulbus pairs.

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.

Objective To explore the relationship between minimal residual disease(MRD)on the 19th day(D19)and prognosis of children with acute B-lymphoblastic leukemia(B-ALL),as well as the correlation with related biological changes.Methods A total of 88 children with B-ALL newly diagnosed in this hospital from April 2016 to April 2020 who met the enrollment conditions were analyzed for induction therapy D19 MRD,overall survival(OS)rate,event-free survival(EFS)rate,chromosome karyotype,fusion gene and mu-tation gene.MRD≥ 0.01％was considered positive,and they were divided into MRD positive group and MRD negative group.The characteristics of OS rate,EFS rate,immunophenotype and molecular biology/cytogenet-ics were compared between the two groups over a period of 3 years.Results The 3-year OS rate and EFS rate of 88 pediatric patients were 92.0％and 86.4％,respectively.The rates of OS rate and EFS rate in MRD posi-tive group were lower than those in MRD negative group,with statistical significance(P＜0.05).The detec-tion rate of CD10 in MRD positive group was lower than that in MRD negative group,and the difference was statistically significant(P＜0.05).Thirty-two patients(36.4％)detected 8 types of 35 fusion genes.The de-tection rates of BCR-ABL1 and E2A-PBX1 in MRD positive group were higher than those in MRD negative group,and the differences were statistically significant(P＜0.05).Among 48 cases(54.5％)of pediatric pa-tients,41 types of 91 mutated genes were detected,and the remaining mutated genes were less than 5 cases.Abnormal karyotype was detected in 18 cases(20.5％),and no mitotic phase was detected in 17 cases.There was no difference in MRD between normal and abnormal karyotype.Binary Logistic regression analysis showed that BCR-ABL1 and E2A-PBX1 were prognostic factors of children with B-ALL.Conclusion The positive D19 MRD is the influential factor of adverse OS and EFS in children with B-ALL.Both E2A-PBX1 and BCR-ABL1 have adverse effects on the prognosis of children with B-ALL.

Traditional mass measurement methods are not applicable in microgravity environments,and the main challenge for in-orbit body mass measurement technology based on inertial principles is to address the random errors brought about by the weightless environment.These include additional torques due to shifts in the center of mass,nonlinear accelerations due to non-rigid human bodies,mechanical energy consumption due to organ vibrations,and random vibrations of the measurement device itself.To address the above difficulties,the project proposes a technical scheme based on the principle of linear acceleration,designs and constructs a ground-specific air-floating experimental and simulation platform,studies key data such as motion trajectory,acceleration change,and vibration frequency amplitude during the mass measurement process,and simulates the changes in the center of mass and random vibrations of the human body in a weightless environment.The project has designed an adjustable posture bracket to adapt to changes in the center of mass,enhance body restraint,and greatly reduce shaking;it has also developed an integrated four-bar linkage motion guidance mechanism,high-precision integrated photoelectric distance measurement,and modular motion constant force measurement device to ensure the accurate measurement of acceleration and constant force data.The product has undergone simulation calculations,ground human applicability tests,and in-orbit applicability verification in the space station.Ground test results show that the device achieves a body mass measurement accuracy better than 0.5%,and the dispersion is better than 0.38%;after flight mission verification and evaluation,the in-orbit body mass measurement dispersion is less than 0.4%,which is superior to the SLAMMD,a mass measurement device of the same principle on the International Space Station,and is at the forefront internationally,achieving accurate body mass measurement.

Objective To develop an intelligent model for differential diagnosis of atrioventricular nodal re-entrant tachycardia(AVNRT)and atrioventricular re-entrant tachycardia(AVRT)using 12-lead wearable electrocardiogram devices.Methods A total of 356 samples of 12-lead supraventricular tachycardia(SVT)electrocardiograms recorded by wearable devices were randomly divided into training and validation sets using 5-fold cross validation to establish the intelligent classification model,and 101 patients with the diagnosis of SVT undergoing electrophysiological studies and radiofrequency ablation from October,2021 to March,2023 were selected as the testing set.The changes in electrocardiogram parameters before and during induced tachycardia were compared.Based on multiscale deep neural network,an intelligent diagnosis model for classifying SVT mechanisms was constructed and validated.The 3-lead electrocardiogram signals from Ⅱ,Ⅲ,and V1 were extracted to build new classification models,whose diagnostic efficacy was compared with that of the 12-lead model.Results Of the 101 patients with SVT in the testing set,68 were diagnosed with AVNRT and 33 were diagnosed with AVRT by electrophysiological study.The pre-trained model achieved a high area under the precision-recall curve(0.9492)and F1 score(0.8195)for identifying AVNRT in the validation set.The total F1 scores of the lead Ⅱ,Ⅲ,V1,3-lead and 12-lead intelligent diagnostic models in the testing set were 0.5597,0.6061,0.3419,0.6003 and 0.6136,respectively.Compared with the 12-lead classification model,the lead-Ⅲ model had a net reclassification index improvement of-0.029(P=0.878)and an integrated discrimination index improvement of-0.005(P=0.965).Conclusion The intelligent diagnostic model based on multiscale deep neural network using wearable electrocardiogram devices has an acceptable accuracy for classifying SVT mechanisms.

Objective To observe the efficacy and safety of Morinda officinalis oligosaccharides in the continuation treatment of mild and moderate depression.Methods An open,single-arm,multi-center design was adopted in our study.Adult patients with mild and moderate depression who had received acute treatment of Morinda officinalis oligosaccharides were enrolled and continue to receive Morinda officinalis oligosaccharides capsules for 24 weeks,the dose remained unchanged during continuation treatment.The remission rate,recurrence rate,recurrence time,and the change from baseline to endpoint of Hamilton Depression Scale(HAMD),Hamilton Anxiety Scale(HAMA),Clinical Global Impression-Severity(CGI-S)and Arizona Sexual Experience Scale(ASEX)were evaluated.The incidence of treatment-related adverse events was reported.Results The scores of HAMD-17 at baseline and after treatment were 6.60±1.87 and 5.85±4.18,scores of HAMA were 6.36±3.02 and 4.93±3.09,scores of CGI-S were 1.49±0.56 and 1.29±0.81,scores of ASEX were 15.92±4.72 and 15.57±5.26,with significant difference(P＜0.05).After continuation treatment,the remission rate was 54.59％(202 cases/370 cases),and the recurrence rate was 6.49％(24 cases/370 cases),the recurrence time was(64.67±42.47)days.The incidence of treatment-related adverse events was 15.35％(64 cases/417 cases).Conclusion Morinda officinalis oligosaccharides capsules can be effectively used for the continuation treatment of mild and moderate depression,and are well tolerated and safe.

Objective To introduce a locating device for the entry point of intramedullary nail based on the inertial navigation technology,which utilizes multi-dimensional angle information to assist in rapid and accurate positioning of the ideal direction of femoral anterograde intramedullary nails'entry point,and to verify its clinical value through clinical tests.Methods After matching the locating module with the developing board,which are the two components of the locating device,they were placed on the skin surface of the proximal femur of the affected side.Anteroposterior fluoroscopy was performed.The developing angle corresponding to the ideal direction of entry point was selected based on the X-ray image,and then the yaw angle of the locating module was reset to zero.After resetting,the locating module was combined with the surgical instrument to guide the insertion angle of the guide wire.The ideal direction of entry point was accurately located based on the angle guidance.By setting up an experimental group and a control group for clinical surgical operations,the number of guide wire insertion times,surgical time,fluoroscopy frequency,and intraoperative blood loss with or without the locating device was recorded.Results Compared to the control group,the experimental group showed significant improvement in the number of guide wire insertion times,surgical time,fluoroscopy frequency,and intraoperative blood loss,with a statistically significant difference(P<0.01).Conclusion The locating device can assist doctors in quickly locating the entry point of intramedullary nail,effectively reducing the fluoroscopy frequency and surgical time by improving the success rate of the guide wire insertion with one shot,improving surgical efficiency,and possessing certain clinical value.