ObjectiveTo identify the pathogen species responsible for the wilt disease of Tetradium ruticarpum in Chongqing， investigate there biological characteristics， and screen effective fungicides， so as to provide a theoretical basis for disease control in production. MethodsThe pathogen was isolated via the tissue culture method. Pathogenicity was verified according to Koch's postulates. The pathogen was identified based on morphological characteristics and multi-gene phylogenetic analysis. The mycelial growth rate method was used for biological characterization of the pathogen and fungicide screening. ResultsThe pathogen colonies were nearly circular with irregular edges， white， short， velvety aerial hyphae， and pale purple undersides. Macroconidia were colorless， sickle-shaped， with 3-5 septa， while microconidia were transparent， elliptical， aseptate or with 1-2 septa. Multi-gene phylogenetic analysis showed that the pathogen clustered in the same clade as Fusarium fujikuroi with 100% support， which， combined with morphological characteristics， identified the pathogen causing wilt of T. ruticarpum in Chongqing as F. fujikuroi. The optimal conditions for the mycelial growth of F. fujikuroi were mung bean agar （MBA） with glucose as the carbon source， beef extract and yeast powder as nitrogen sources， 28 ℃， pH 7.0， and alternating light/dark conditions. The optimal conditions for sporulation were potato dextrose agar （PDA） with glucose as the carbon source， beef extract as the nitrogen source， 28 ℃， pH 7.0， and complete darkness. Among chemical fungicides， phenazine-1-carboxylic acid exhibited the strongest inhibitory effect on F. fujikuroi. Shenqinmycin and tetramycin were the most effective bio-fungicides. ConclusionThis study is the first to report F. fujikuroi as the causal agent of wilt disease in T. rutaecarpa. The chemical fungicide phenazine-1-carboxylic acid and the bio-fungicides shenqinmycin and tetramycin showed strong inhibitory effects against F. fujikuroi.

Objectives: . This study aimed to investigate the regulatory functions of gamma-aminobutyric acid (GABA)ergic neural circuits from the inferior colliculus (IC) to the medial geniculate body (MGB) in salicylate-induced tinnitus. Methods: . Mice were treated with salicylate to induce tinnitus, and tinnitus-like behaviors were evaluated via gap prepulse inhibition of acoustic startle. Using combined viral tracing methodologies, we identified and mapped the pathways and connections from the IC to the MGB. Furthermore, we employed Gq-coupled human M3 designer receptors exclusively activated by designer drugs (DREADDs) and Gi-coupled human M4 DREADDs to achieve targeted excitation or suppression of GABAergic neurons in the IC and MGB. Following the administration of clozapine N-oxide, which binds to these receptors, we modulated these neural circuits to assess their impact on tinnitus severity in a mouse model. Results: . Our findings demonstrated that mice exposed to salicylate exhibited tinnitus-like behaviors. GABAergic neurons projecting retrogradely from the MGB to the IC were primarily concentrated in the external nucleus of the IC. After clozapine N-oxide administration, chemogenetic activation of IC-MGB GABAergic neurons aggravated salicylate-induced tinnitus. Additionally, activation of GABAergic neurons between the IC and MGB induced the perception of tinnitus even without salicylate. However, chemogenetic inhibition of the IC-MGB GABAergic circuit did not reverse salicylate-induced tinnitus. Conclusion . These findings suggest that activation of the IC-MGB GABAergic neural circuit may contribute to tinnitus generation through a mechanism distinct from that of salicylate-induced tinnitus. This study provides novel insights into the mechanisms underlying tinnitus.

Objective To construct an operational indicator system for infectious disease monitoring and early warning,and provide data support and decision-making basis for monitoring and early warning.Methods A preli-minary indicator framework was constructed through literature analysis and expert interviews,and expert consultation was conducted using the Delphi method.A total of 30 experts were selected.The score of the importance of indica-tors based on the consultation results was calculated,and the weight was determined.Results The response rates of expert consultation questionnaires from two rounds were both 100％,with expert authority coefficients(reliabili-ty coefficient)being 0.87 and 0.88 for the first and second rounds,respectively.Kendall's W coefficients ranged from 0.137 to 0.424,with statistically significant differences(all P＜0.001).Coefficients of variation for all indi-cators were＜0.25,indicating that expert opinions tend to be consistent and the results were authoritative and relia-ble.The finally constructed indicator system encompassed 4 first-level,25 second-level,and 68 third-level indica-tors.Conclusion The operational indicator system for infectious disease monitoring and early warning developed in this study can provide a basis for the practice of infectious disease monitoring and early warning as well as related scientific decision-making.

The scientific research and innovation capabilities of medical students are intrinsically linked to the sustained and high-quality development of national healthcare initiatives.Cultivating outstanding medi-cal students with independent scientific capabilities and innovative consciousness is a critical component in the education and training of high-level medical professionals.Our investigation revealed that within the imperfections of the cultivating model,some faculty and students at medical schools have an insufficient understanding of scientific research and innovation and lack motivation for engaging in such activities,which hinder the progression of scientific research activities.Consequently,we initiated a teaching practice and exploratory study on the"tutorial system"aimed at fostering medical students'scientific research and innovation abilities.Based on the principle of"research informing teaching,teaching and research advan-cing together,"this study implements a"tutorial system"coordinated by tutors,supplemented by graduate and undergraduate student mentors,to cultivate innovative thinking,stimulate interest in scientific re-search,and enhance practical and research skills among medical students.Through collaborative efforts within"scientific research innovation teams,"various educational methods—including preliminary re-search,in-class and extracurricular activities,intra-group and inter-group interactions,and theoretical and practical applications—are employed to improve and strengthen the cultivation of medical students'scientif-ic research and innovation abilities.This study aims to provide valuable references for optimizing medical education management systems and enhancing the quality of medical student training.

The scientific research and innovation capabilities of medical students are intrinsically linked to the sustained and high-quality development of national healthcare initiatives.Cultivating outstanding medi-cal students with independent scientific capabilities and innovative consciousness is a critical component in the education and training of high-level medical professionals.Our investigation revealed that within the imperfections of the cultivating model,some faculty and students at medical schools have an insufficient understanding of scientific research and innovation and lack motivation for engaging in such activities,which hinder the progression of scientific research activities.Consequently,we initiated a teaching practice and exploratory study on the"tutorial system"aimed at fostering medical students'scientific research and innovation abilities.Based on the principle of"research informing teaching,teaching and research advan-cing together,"this study implements a"tutorial system"coordinated by tutors,supplemented by graduate and undergraduate student mentors,to cultivate innovative thinking,stimulate interest in scientific re-search,and enhance practical and research skills among medical students.Through collaborative efforts within"scientific research innovation teams,"various educational methods—including preliminary re-search,in-class and extracurricular activities,intra-group and inter-group interactions,and theoretical and practical applications—are employed to improve and strengthen the cultivation of medical students'scientif-ic research and innovation abilities.This study aims to provide valuable references for optimizing medical education management systems and enhancing the quality of medical student training.

Under the background of rapid development of artificial intelligence(AI),this paper systematically proposes AI-based education(AIBE).It empowers the teaching process,learning process,research process,and teaching management with AI,and constructs an AI-based educational paradigm,including AI-based teaching(AIBT),AI-based learning(AIBL),AI-based re-search(AIBR),and AI-based management(AIBM).Taking the AI course of immunology teaching as an example,this paper deeply analyzes the practices and explorations of implementing AIBT,AIBL,AIBR and AIBM based on the AI course,so as to accelerate the promotion of the transformation of the fourth generation of medical education.

Objective:To investigate the possible effects of Tim-3/Galectin-9 signaling pathway and MDSC on acute graft-ver-sus-host disease(aGVHD)development in patients after Haplo-HDPSCT.Methods:A total of 42 patients underwent Haplo-HDPSCT and 20 healthy controls were enrolled in this study.Peripheral blood specimens were collected from all study subjects,the number of Tim-3+CD8+T,Granzyme B+CD8+T and MDSC were detected by FCM,and level of Galectin-9 was detected by ELISA.Apoptosis of CD8+T cells from peripheral blood of aGVHD patients were detected by FCM.Results:According to the Seattle International Diagnostic Criteria,there were 16 patients occurred aGVHD after transplantation,while 26 patients did not.①The number of Tim-3+CD8+T and Granzyme B+CD8+T cells in aGVHD patients were significantly higher than patients without aGVHD and healthy controls,while MDSC and Galectin-9 in aGVHD patients were lower than patients without aGVHD and healthy controls(P<0.05);②There were statistically significant differences in the number of Tim-3+CD8+T and Granzyme B+CD8+T cells and level of Galectin-9 between patients with mild(grade Ⅰ～Ⅱ)and severe(grade Ⅲ～Ⅳ)aGVHD groups(P<0.05),while there was no statistically significant difference in the number of MDSC(P=0.689);③Spearman analysis showed that level of Galectin-9 was positively correlated with the number of MDSC in patients without aGVHD(r=0.684,P<0.05);④Isolating CD8+T cells from peripheral blood of aGVHD patients,and found that addition of Galectin-9 increased rate of CD8+T cells apoptosis.Conclusion:Galectin-9 inhibits immune response of CD8+T cells through the Tim-3/Galectin-9 signaling pathway after Haplo-HDPSCT,and this can avoid or slow down the incidence of aGVHD;Galectin-9 is positively correlated with the number of MDSC,it may be associated with the occurrence of aGVHD.

Objective:To investigate the diversity, temporal dynamics and influencing factors of serotypes of Salmonella among asymptomatic workers in Yulin, Guangxi Zhuang Autonomous Region, from 2013 to 2023, and provide reference for controlling the hidden transmission of Salmonella and for disease prevention among healthy populations. Methods:Anal rectal swabs were collected from asymptomatic workers in Yulin from 2013 to 2023 for the isolation and identification of Salmonella. The diversity of serotypes of Salmonella was evaluated by using Shannon index, while the isolation rates and composition ratio of different serotypes were compared with χ2 test. Spearman correlation analysis was used to evaluate the correlation of natural and social factors with serotype isolation rates for more than eight years, and stepwise multiple linear regression analysis were used to evaluate the impact of social factors on the serotype isolation rates for more than 8 years. Results:A total of 8 073 strains of Salmonella were isolated from 2013 to 2023, with an overall isolation rate of 18.88‰ During the 11-year period, 135 serotypes of Salmonella were identified, and the serotype diversity increased first and then decreased. The serotype with the highest isolation rate was Salmonella Typhimurium (3.04‰), followed by Salmonella Rissen (1.70‰), Salmonella Corvallis (1.41‰), Salmonella Agona (1.36‰), Salmonella Derby (1.22‰), and Salmonella London (1.02‰), accounting for 51.67% of the total Salmonella serotypes isolated. There was no significant trend in isolation rate of Salmonella over the years ( χ2=0.67, P=0.415); however, season significantly influenced the isolation rate, with lower rate being observed in winter and higher rate in summer ( χ2=615.91, P<0.001). The isolation rate of different serotypes of Salmonella was influenced by social and natural factors, showing a positive correlation with temperature, precipitation, and poultry consumption and production levels. Conclusions:The serotypes of Salmonella carried by asymptomatic workers were complex and diverse in Yulin, Guangxi Zhuang Autonomous Region, from 2013 to 2023, and the isolation rates of multi-serotypes increased from 2013 to 2023. Higher isolation rate was observed in summer and the isolation rate was widely influenced by natural factors such as temperature and precipitation, as well as social factors such as economic conditions. It is necessary to pay attention to the Salmonella serotype carriage in healthy population, and strengthen monitoring of both healthy individuals and pathogenic bacteria.

Objective To determine the knee joint cartilage thickness using different methods and explore the feasibility of mathematical statistical models of dataset for the prediction of cartilage thickness.Methods A total of 304 patients diagnosed as knee osteoarthritis(OA)combined with varus deformity and undergoing unilateral total knee arthroplasty at the Second Affiliated Hospital of Army Medical University from March 2023 to March 2024 were selected for the study.All patients had complete preoperative and postoperative clinical data.The healthy cartilage at four anatomical sites of patients,including the distal femur lateral condyle,lateral tibial plateau,posterior medial femoral condyle,and posterior lateral femoral condyle were selected,and the knee joint cartilage thickness was determined based on preoperative MRI analysis,robotic navigation system tracing,tissue section of surgical specimen and digital vernier caliper.The baseline indicators of demographics,disease and imaging ffor patients were collected to construct a dataset,and four models of linear regression analysis,principal component analysis,Least Absolute Shrinkage and Selection Operator(LASSO)regression analysis,and K-nearest neighbors(KNN)analysis were established for predicting the accuracy,determination coefficient(R2)and root mean square error(RMSE),and the regression equation for predicting cartilage thickness was established.Results The knee joint cartilage thicknesses determined by preoperative MRI analysis,robotic navigation system tracing,tissue section of surgical specimen had no statistically significant difference with that by digital vernier caliper(P>0.05).The predictive efficiencies of models of linear regression analysis,principal component analysis,and LASSO regression analysis for the knee joint cartilage thickness all failed to meet the expectations(R2<0.3,RMSE>0.03).The predictive effect of KNN model on the cartilage thickness of the distal femur lateral condyle and lateral tibial plateau was not ideal(R2=0.23,RMSE=0.29),while it had potential predictive value(accuracy=0.21,accuracy=0.15).Conclusion The prediction model of knee joint cartilage thickness based on individual parameters has certain scientificity,and the feasibility of KNN model is relatively high.However,due to insufficient sample size and unclear individual parameter weight,the efficiencies of the four established prediction models are not ideal,which fails to provide definite prediction equations.Therefore,the construction scheme of the prediction model still needs to be further optimized.

The feasibility for the development of road-rail medical vehicles was discussed.The gap between China's ground medical evacuation system and medical evacuation requirements was analyzed,and the limitations of the existing mobile medical units in China were introduced.The key points for developing road-rail medical vehicles were discussed.The road-rail medical vehicle would be an ideal tool for casualty treatment and rapid evacuation at war time and peace time,which could be a future development direction of the road-rail vehicle and medical train.[Chinese Medical Equipment Journal,2025,46(10):84-90]