ObjectiveTo investigate the effect of bone morphogenetic protein 3 （BMP3） on the expression of inflammatory factors and joint damage in adjuvant arthritis （AA） induced by Freund′s complete adjuvant （FCA） in rats. MethodsThe AIA model was established in SD rats by intradermal injection of FCA into the toes of the left hind limb， and BMP3 overexpressing adenovirus （Ad-BMP3） or control adenovirus （Ad-NC） was injected in situ into the knee joint cavity on day 8 after modeling. Subsequently， HE staining was used to observe the histopathological changes in the synovium， immunohistochemistry was used to detect the expression of BMP3 in the synovium， and ELISA was used to analyze the expression levels of IL-6， IL-1β and TNF-α in the serum. Primary fibroblast-like synoviocytes （FLS） were isolated from AIA rats， the expression of BMP3 in FLS was knocked down or overexpressed， and Western blot and qRT-PCR were used to detect the expression levels of BMP3 and inflammatory factors in FLS. ResultsHE staining confirmed the successful establishment of the AIA model. Compared with normal rats， AIA rats showed decreased BMP3 expression in synovial tissue. Knockdown of BMP3 promoted the protein expression of inflammatory factors （IL-6， IL-1β， IL-17A， TNF-α） and the mRNA expression of chemokines ［C-C motif chemokine ligand 2 （CCL2）， C-C motif chemokine ligand 3 （CCL3）， Vascular Cell Adhesion Molecule-1 （VCAM-1）］ in FLS. In contrast， overexpression of BMP3 suppressed the expression of these inflammatory factors and chemokines. Intra-articular injection of BMP3-overexpressing adenovirus in AIA rats upregulated BMP3 expression in synovial tissue and inhibited synovial inflammation and bone erosion. ConclusionBMP3 suppresses the production of inflammatory factors and chemokines in FLS， thereby alleviating synovial hyperplasia and bone erosion in arthritis.

This study systematically reviewed the randomized controlled trial(RCT) of traditional Chinese medicine(TCM) treatment of post-stroke depression(PSD) and analyzed the clinical study characteristics and outcome indicators, aiming to optimize the design and establish the core outcome set in the future clinical trials of the TCM treatment of PSD. PubMed, Web of Science, Cochrane Library, EMbase, CNKI, VIP, Wanfang, and SinoMed were searched for the relevant RCT published in recent 3 years. The basic characteristics, intervention measures, and outcome indicators of the included RCT were extracted, and the descriptive analysis was carried out. A total of 76 RCTs were eventually included, with the sample size concentrated in 80-100 cases. The most frequent TCM syndromes were liver depression and Qi stagnation(15 times, 31.91%) and phlegm combined with stasis(5 times, 10.63%). The frequency of intervention methods followed a descending trend of TCM decoction(35 times, 46.05%) and TCM decoction + acupuncture(4 times, 5.26%), Chinese patent medicine(3 times, 3.94%), and the intervention mainly lasted for 1 to 3 months(43 times, 60.56%). The adverse reactions of patients were mainly digestive system reaction(150 patients, 39.37%) and nervous system reaction(112 patients, 29.39%). Most of the included studies had unclear risk of bias, involving 84 outcome indicators, which belonged to 8 indicator domains. The RCTs of TCM treatment of PSD showed a variety of problems, such as non-standard TCM syndrome differentiation, inconsistent names of TCM syndrome scores and measurement tools, low quality, unclear risk of bias, neglect of endpoint indicators, unreasonable selection of substitute indicators, lack of differentiation between primary and secondary outcome indicators, non-standard reporting of safety indicators, insufficient attention to economic indicators, and lack of long-term prognosis evaluation. It is suggested that the future research should improve the quality of methodology and build a standardized core outcome set to promote the development of high-quality clinical research in this field.
Humans ; Randomized Controlled Trials as Topic ; Drugs, Chinese Herbal/administration & dosage* ; Stroke/psychology* ; Depression/etiology* ; Treatment Outcome ; Medicine, Chinese Traditional

By aggregating the essence of theories related with depressive syndrome from historical medical practitioners and based on the extensive clinical experience,traditional Chinese medicine(TCM)master Lin Yi proposed the theory of six-stagnation-based breast disease prevention and treatment.She pointed out that the occurrence of breast diseases is related to six stagnations(qi stagnancy,blood stagnancy,phlegm stagnancy,dampness stagnancy,food stagnancy,and fire stagnancy),and the treatment for breast diseases should start from the six stagnations.The development and progression of breast cancer is closely associated with the imbalance of internal environment and the formation of six stagnations,and breast cancer is one of the major diseases suitable for the TCM syndrome differentiation and treatment.For the treatment of early breast cancer,Professor Lin Yi proposed to divide early breast cancer into four stages,namely perioperative period,peri-chemotherapy period,peri-radiotherapy period,and consolidation period.Guided by the theory of six-stagnation-based breast disease prevention and treatment,therapies of soothing the liver,resolving phlegm,removing stasis,clearing heat,eliminating dampness,promoting digestion,fortifying the spleen,and tonifying the kidney are employed to harmonize the internal environment and alleviate symptoms.The theory of six-stagnation-based breast disease prevention and treatment enriches the TCM theory for the prevention and treatment of breast cancer,refines the principles and methods for the staging and syndrome differentiation of early breast cancer,and holds significant implications for enhancing the efficacy of integrated TCM and western medicine in managing early breast cancer.

To investigate the impact of preoperative serum follicle-stimulating hormone (FSH) levels on the probability of testicular sperm retrieval, we conducted a study of nonobstructive azoospermic (NOA) men with different testicular volumes (TVs) who underwent microdissection testicular sperm extraction (micro-TESE). A total of 177 NOA patients undergoing micro-TESE for the first time from April 2019 to November 2022 in Shenzhen Zhongshan Obstetrics and Gynecology Hospital (formerly Shenzhen Zhongshan Urology Hospital, Shenzhen, China) were retrospectively reviewed. The subjects were divided into four groups based on average TV quartiles. Serum hormone levels in each TV group were compared between positive and negative sperm retrieval subgroups. Overall sperm retrieval rate was 57.6%. FSH levels (median [interquartile range]) were higher in the positive sperm retrieval subgroup compared with the negative outcome subgroup when average TV was <5 ml (first quartile [Q1: TV <3 ml]: 43.32 [17.92] IU l -1 vs 32.95 [18.56] IU l -1 , P = 0.048; second quartile [Q2: 3 ml ≤ TV <5 ml]: 31.31 [15.37] IU l -1 vs 25.59 [18.40] IU l -1 , P = 0.042). Elevated serum FSH levels were associated with successful micro-TESE sperm retrieval in NOA men whose average TVs were <5 ml (adjusted odds ratio [OR]: 1.06 per unit increase; 95% confidence interval [CI]: 1.01-1.11; P = 0.011). In men with TVs ≥5 ml, larger TVs were associated with lower odds of sperm retrieval (adjusted OR: 0.84 per 1 ml increase; 95% CI: 0.71-0.98; P = 0.029). In conclusion, elevated serum FSH levels were associated with positive sperm retrieval in micro-TESE in NOA men with TVs <5 ml. In men with TV ≥5 ml, increases in average TVs were associated with lower odds of sperm retrieval.
Humans ; Male ; Azoospermia/surgery* ; Sperm Retrieval/statistics & numerical data* ; Adult ; Follicle Stimulating Hormone/blood* ; Retrospective Studies ; Testis/pathology* ; Microdissection ; Organ Size

Lacking therapeutic targets highlights the crucial roles of chemotherapy and radiotherapy in the clinical management of triple-negative breast cancer (TNBC). To relieve the side effects of the chemoradiotherapy combination regimen, we design and develop a self-assembled micelle nanosystem consisting of perfluorocarbon chain-modified cisplatin prodrug. By incorporating perfluorodecalin, this nanosystem can effectively carry ozone and promote irradiation-derived reactive oxygen species (ROS) production. By leveraging the perfluorocarbon sidechain, the nanosystem exhibits efficient internalization by TNBC cells and effectively escapes from lysosomal entrapment. Under X-ray irradiation, ozone-generated ROS disrupts the intracellular redox balance, thereby facilitating the release of cisplatin in a reduction-responsive manner mediated by reduced glutathione. Moreover, oxygen derived from ozone decomposition enhances the efficacy of radiotherapy by alleviating tumor hypoxia. Notably, the combination of irradiation with ozone-loaded cisplatin prodrug nano system synergistically prompts antitumor efficacy and reduces cellular/systemic toxicity in vitro and in vivo. Furthermore, the combo regimen remodels the tumor microenvironment into an immune-favored state by triggering immunogenic cell death and relieving hypoxia, which provides a promising foundation for a combination regimen of immunotherapy. In conclusion, our nanosystem presents a novel strategy for integrating chemotherapy and radiotherapy to optimize the efficacy and safety of TNBC clinical treatment.

Vaccine immunization is the most effective and cost-efficient method for infectious disease prevention and control.Since the outbreak of novel coronavirus pneumonia(caused by the novel coronavirus,COVID-19)at the end of 2019,third generation mRNA nucleic acid vaccines has been applied to stop viral spread.mRNA vaccines,rather than relying on the immune activation mode of traditional vaccines,are an innovative breakthrough using the body's own cells to produce antigens,thereby activating double specific immunity,forming immune memory,and providing more lasting specific immunity.Com-pared with the traditional first-generation(inactivated)and second-generation(genetically engineered)vaccines,mRNA vac-cines,because of the advantages provided by this platform,play important roles in the prevention and control of major sudden infectious diseases.Consequently,mRNA vaccines were the world's first COVID-19 vaccines to be applied clinically,thus ser-ving as a barometer in the field of vaccine research and development.Herein,the molecular design and presentation of mRNA vaccines,and the molecular mechanisms of their activation of the immune response are reviewed,to provide a theoretical basis for future application of novel mRNA vaccines in the prevention and control of animal infectious diseases.

Objective:The objective of this study was to understand the incidence, spatial and temporal distribution characteristics and trends of bacillary dysentery in China from 2005 to 2024 in order to identify the high-risk groups and reveal the potential risk factors and to provide a scientific basis for optimizing the allocation of preventive and control resources, formulating targeted intervention strategies and assessing the effectiveness of the measures.Methods:The nationally reported incidence data of bacillary dysentery was collected from 2005 to 2024 in the Chinese Center for Disease Control and Prevention National Notifiable Diseases Reporting Information System. Descriptive epidemiological methods were used to analyze the population characteristics of bacillary dysentery cases. A Joinpoint regression model was constructed to examine long-term trends in reported incidence rates and spatial dynamic window scanning statistics were applied to detect spatial clusters of bacillary dysentery cases.Results:Between 2005 and 2024, 3 520 247 cases of bacillary dysentery were reported across China, with an average incidence rate of 12.88 per 100 000 people, after which the rate of decline decreased. The incidence rate showed a general downward trend, featuring a significant inflection point in 2016. It exhibited marked seasonality, peaking from May to October (summer-autumn), which weakened over time. From 2005 to 2024, the most likely clusters were in Beijing and Tianjin. Males, infants, the elderly, farmers, and children not in daycare showed many cases.Conclusions:The results revealed that the peak incidence of bacillary dysentery in China from 2005 to 2024 was featured in the summer-autumn months. High-incidence areas were mainly Beijing and Tianjin. The key groups, including males, infants, the elderly, farmers and children not in daycare, were identified. Enhancing surveillance, targeted health education, and preventive measures, especially in these key populations and in regions where the disease shows a high incidence should be strengthened.

Objective:To analyze the epidemiological characteristics and infection sources of cholera in China from 2005 to 2024.Methods:A total of 2 066 cholera cases were included in the study, which were obtained from the China Disease Control and Prevention Information System (CDPCIS) of China CDC. The information on cholera clusters was downloaded from the National Public Health Emergency Event Surveillance System (PHEESS) of China CDC. A total of 128 cholera clusters were included and analyzed in this study. The epidemiological characteristics and infection sources of cholera were analyzed. The Jointpoint model was applied to analyze the incidence trend, and annual percentage change (APC) was also quantified.Results:From 2005 to 2024, a total of 2 066 cholera cases were reported, with an average of 103 cases reported annually. Specifically, the incidence showed a marked downward trend from 2004 to 2015 ( APC=-26.78%, P=0.006). During 2015-2024, the disease remained at low endemic levels, with an average of 18 reported cases annually ( APC=-2.68%, P=0.807). Cholera peak season was from May to October. A total of 24 provinces reported cholera cases, which were mainly distributed in Zhejiang, Fujian, Beijing, Jiangsu, Anhui, Guangdong, and Hainan provinces, accounting for 78.03% of the total cases. Pathogen surveillance indicated an alternating prevalence of Vibrio cholerae serogroups O1 and O139 among laboratory-confirmed cases between 2005 and 2024. There was a disparity in the dominant serogroup of Vibrio cholerae by region. The results from 128 cholera clusters indicated that cholera outbreaks frequently occurred in rural banquets (64.84%), followed by regular restaurants (13.28%). Among these, 63 clusters (49.22%) with identified infection sources indicated that foodborne transmission (95.24%) was the primary mode of cholera transmission, which mainly through seafood and aquatic products, such as soft-shelled turtles, shrimp and shellfish. The characteristics of cholera clusters caused by Vibrio cholerae serogroups O1 and O139 showed statistically significant differences in scale, attack rate, place of residence, setting, and infection source ( P<0.05). Conclusion:Cholera incidence has remained consistently low since 2015 in China, mainly in sporadic cases. Rural gatherings (e.g., wedding banquets) are the main settings for cholera clusters. The main infection sources are predominantly caused by cross-contamination due to improper processing practices of aquatic products, such as soft-shelled turtles.

[Objective]To construct a prediction model for brucellosis by using a deep neural network algorithm to improve the early detection.[Methods]We collected the clinical data of 202 brucellosis patients and 319 non-brucellosis patients admitted to Hohhot Occupational Disease Prevention and Treatment Hospital in 2023,and analyzed data such as gender,age,blood routine indices and clinical diagnosis.A prediction model for brucellosis was constructed by using a deep neural network algorithm and optimized through 10-fold cross-validation.Performance metrics included sensitivity,false negative rate,specificity,false positive rate,accuracy,positive predictive value,negative predictive value,F1 score,and area under the receiver operating characteristic curve(AUC).The optimal model was interpreted by using SHapley Additive exPlanations(SHAP)to clarify decision-making logic and feature influencing mechanisms.[Results]Data visualization analysis revealed no significant difference between brucellosis and non-brucellosis groups.The optimal model demonstrated good performance:sensitivity(85.3%),specificity(92.1%),accuracy(89.5%),AUC(96.6%),95%CI(0.937,0.977).SHAP analysis identified age,platelet count,mean platelet volume,basophil ratio,red blood cell distribution width,and absolute basophil count as significant predictors of brucellosis.[Conclusions]The deep neural network prediction model constructed in this study has good performance and can provide reliable support for the early diagnosis,prevention and control of brucellosis.Identification of key brucellosis-related influencing features will help further understand the pathogenesis of the disease,and this model holds promise for broad clinical application in the future.

Objective To explore the clinical value of three-dimensional(3D)fracture mapping in improving the consistency of Arbeitsgemeinschaft für Osteosynthesefragen(AO)/the Orthopaedic Trauma Association(OTA)classification and optimizing preoperative surgical planning for Pilon fractures.Methods This single-center retrospective cohort study included 60 Pilon fracture patients admitted to the Trauma Emergency Center of the Third Hospital of Hebei Medical University between January 2022 and December 2024.All patients underwent preoperative computed tomography(CT)scans.Image standardization and expert manual segmentation/annotation of fracture lines and fragments were performed with 3D Slicer software.3D fracture lines extracted from gold-standard models were registered to a unified standard tibial model.A 3D probability heatmap was constructed by counting spatial fracture frequency,with high-incidence zones analyzed via spatial clustering algorithms.Three orthopedic surgeons independently completed AO/OTA classification and preoperative planning with the assistance of conventional CT only and CT with 3D fracture mapping.Accuracy,time consumption,inter-observer consistency(Cohen's κ),planning time,plan modification frequency,and subjective scores were evaluated.Results The 3D fracture heatmap revealed that fracture lines predominantly concentrated in the anterolateral and posteromedial regions of the distal tibia,with an average of(4.2±1.1)hotspots,a coverage rate of(78.3±5.6)%,and(3.5±1.0)clustering areas.With 3D fracture mapping assistance,classification accuracy was improved to(88.0±5.0)%compared to(75.0±8.0)%with conventional CT(P=0.001);classification time reduced to(10.4±2.5)min from(15.2±3.1)min(P<0.001);and Cohen's κ increased from 0.68±0.05 to 0.82±0.03(P=0.002).For preoperative planning,the average planning time was(15.8±3.2)min in the 3D mapping-assisted group,which was significantly shorter than that of conventional CT group(22.5±4.3)min(P<0.001);the number of plan modifications was(1.5±0.7)times,lower than that of conventional CT group(3.2±1.1)times(P<0.001),and the subjective score was 8.9±0.9,higher than that of conventional CT group(6.8±1.2)(P<0.001).Conclusion The 3D fracture mapping accurately characterizes spatial distribution patterns of Pilon fractures,significantly improves classification accuracy,inter-observer consistency,and preoperative planning efficiency,and thus holds substantial clinical value.