Objective: To construct a scientific and perfect evaluation index system of infectious disease prevention and control ability in colleges and universities, so as to provide reference tools for colleges and universities to effectively respond to infectious disease. Methods: The initial framework of the evaluation index system of infectious disease prevention and control ability in colleges and universities was constructed by using literature analysis method. Experts familiar with infectious disease prevention and control or school health work were selected to conduct two rounds( n =16，18) of Delphi expert consultation for determining the evaluation index system. Analytical hierarchy process was used to calculate the index weights and combined weights. About 198 prevention and control personnel were conveniently selected from 3 universities in Inner Mongolia Autonomous Region to comprehensively evaluate the evaluation indicators by using fuzzy comprehensive evaluation method. Results: After two rounds of Delphi consultation questionnaire, the effective recovery rates were 80.0% and 90.0%, the expert authority levels were 0.89 and 0.86, the expert harmony coefficients for Kendall W were 0.166 and 0.310, and the variation coefficient of each index was <0.25. Finally, the evaluation index system of infectious disease prevention and control ability of colleges and universities included 4 first level indicators, 14 second level indicators and 75 third level indicators. The weights of prevention and monitoring and early warning, organizational system guarantee, emergency management, rehabilitation and summary were 0.176, 0.476, 0.268 and 0.080, respectively. The top 3 weights of the secondary indexes were 0.623 for infectious disease surveillance and early warning, 0.595 for loss assessment and 0.370 for emergency response. The score of fuzzy comprehensive evaluation of the index system of infectious disease prevention and control ability in colleges and universities was 79.148, suggesting a high level. Conclusion The established evaluation index system of infectious disease prevention and control ability in colleges and universities is scientific and reasonable, which is conducive to provide tool reference for the evaluation of infectious disease prevention and control ability in colleges and universities.

BACKGROUND: Pre-transplant exposure to immune checkpoint inhibitors (ICIs) significantly increases the risk of allograft rejection after liver transplantation (LT); however, whether ICI-related rejection leads to increased graft loss remains controversial. Therefore, this study aimed to investigate the association between ICI-related allograft rejection and perioperative graft loss. METHODS: This was a retrospective analysis of adult liver transplant recipients with early biopsy-proven T-cell-mediated rejection (TCMR) at Liver Transplantation Center of Sun Yat-sen Memorial Hospital from June 2019 to September 2024. The pathological features, clinical characteristics, and perioperative graft survival were analyzed. RESULTS: Twenty-eight patients who underwent early TCMR between June 2019 and September 2024 were included. Based on pre-LT ICI exposure, recipients were categorized into ICI-related TCMR (irTCMR, n = 12) and conventional TCMR (cTCMR, n = 16) groups. Recipients with irTCMR had a higher median Banff rejection activity index (RAI) (6 vs . 5, P = 0.012) and more aggressive tissue damage and inflammation. Recipients with irTCMR showed higher proportion of treatment resistance, achieving a complete resolution rate of only 8/12 compared to 16/16 for cTCMR. Graft loss occurred in 5/12 of irTCMR recipients within 90 days after LT, with no graft loss in cTCMRs recipients. Cox analysis demonstrated that irTCMR with an ICI washout period of <30 days was an independent risk factor for perioperative graft loss (hazard ratio [HR], 6.540; 95% confidence interval [CI], 1.067-40.067, P = 0.042). CONCLUSION IrTCMR is associated with severe pathological features, increased resistance to treatment, and higher graft loss in adult liver transplant recipients.
Humans ; Liver Transplantation/adverse effects* ; Male ; Female ; Middle Aged ; Retrospective Studies ; Graft Rejection/immunology* ; Immune Checkpoint Inhibitors/therapeutic use* ; Adult ; T-Lymphocytes/drug effects* ; Graft Survival/immunology* ; Aged

Emerging evidences have indicated the role of ferroptosis in the progression of metabolic-associated fatty liver disease (MAFLD); thus, inhibiting ferroptosis is a promising strategy for the development of MAFLD therapeutics. Recent studies have demonstrated the antioxidative effect of the gut commensal bacterium Akkermansia muciniphila (A. muc); however, whether it can alleviate ferroptosis remains unclear. The current study indicates A. muc intervention efficiently reversed high-fat high-fructose diet (HFHFD)-induced lipid peroxidation and ferroptosis in the liver. These beneficial effects were mediated by activation of the hepatic AMPK/SIRT1/PGC-1α axis, as evidenced by the finding that AMPK deficiency abrogated the amelioration of lipid peroxidation in vitro and in vivo. Furthermore, the short-chain fatty acids (SCFAs) were enriched upon A. muc treatment, and acetate was identified as a key activator of hepatic AMPK signalling. Mechanistically, microbiota-derived acetate was transported to the liver and metabolized to adenosine monophosphate (AMP), which triggered AMPK activation. Furthermore, a colonization assay in germ-free mice confirmed that A. muc mediated antiferroptotic effects in the absence of other microbes. These data indicated that A. muc exerts antiferroptotic effects against MAFLD, at least partially by producing acetate, which activates the hepatic AMPK/SIRT1/PGC-1α axis to alleviate ferroptosis via the inhibition of polyunsaturated fatty acid (PUFA) synthesis.

Various therapeuti modailities have been engineered for lung cancer treatment, but their clinic application is severely impeded by the poor therapy efficiency and immunosuppressive microenvironment. Herein, we fabricated a library of small molecule redox-labile nanoparticles (NPs) (i.e., diPTX-2C NPs, diPTX-2S NPs, and diPTX-2Se NPs) by the self-assembly of dimer paclitaxel (PTX) prodrug, and then utilized these NPs with the traditional Chinese medicine (TCM) Qi-Yu-San-Long-Fang (Q) for effective chemoimmunotherapy on Lewis lung carcinoma (LLC)-bearing mice models. Under the high concentration of glutathione (GSH) and H₂O₂, diPTX-2Se NPs could specifically release PTX in cancer cells and exert a higher selectivity and toxicity than normal cells. In LLC tumor-bearing mice, oral administration of Q not only effectively downregulated programmed death ligand-1 (PD-L1) expression, but also remodeled the immunosuppressive tumor immune microenvironment via the increase of CD4⁺ T and CD8⁺ T cell proportion and the repolarization of M2 into M1 macrophages in tumor tissues, collectively achieving superior synergistic treatment outcomes in combination with intravenous PTX prodrug NPs. Besides, we found that the combination regimen also demonstrated excellent chemoimmunotherapeutic performances on low-dose small established tumor and high-dose large established tumor models. This study may shed light on the potent utilization of Chinese and Western-integrative strategy for efficient tumor chemoimmunotherapy.

ObjectiveTo explore the method of optimizing the performance of traditional Chinese medicine （TCM） syndrome diagnostic models using Stacking ensemble learning. MethodsTaking the construction of TCM syndrome diagnostic model for lung cancer as an example， 2598 cases of clinical symptoms and signs from lung cancer patients in 9 hospitals were used as independent variables （i.e.， feature variables）， TCM syndrome information as dependent variables， and the clinical data were divided into training set and testing set in 8：2 ratio according to random number table method using Python 3.7 software. The stable features of TCM syndrome of lung cancer were screened using chi-square test， Spearman's correlation test， and Least Absolute Shrinkage and Selection Operator （LASSO） logistic regression analysis； nine machine learning algorithms are trained， including support vector machines （SVMs）， k-nearest neighbors （KNN） algorithm， Random Forest （RF）， Extremely Randomized Trees， Extreme Gradient Boosting （XGBoost）， Lightweight Gradient Boosting （LightGBM）， Adaptive Boosting （AdaBoost）， Gradient Boosting （GB） and the multi-layer perceptron （MLP）， to obtain 9 basic models. Four models with better performance were screened out from the above basic models and fused to form a fusion model by using the Stacking ensemble learning， and the fusion model was trained twice by the above nine machine learning algorithms and evaluated by accuracy rate， micro-average ROC curves， area under the curve （AUC）， and confusion matrix metrics， to screen the optimal diagnostic model. ResultsAfter data processing， 79 stable features and 13 TCM syndromes were obtained. In the basic model training， the comprehensive performance of RF， ExtraTrees， MLP and SVM basic models were better， so the predicted distributions of the syndromes of these four models were used as the secondary training data， and nine fusion models were obtained based on the Stacking ensemble learning （SVM， KNN， RF， ExtraTree， XGBoost， LightGBM， GB， AdaBoost， MLP）. Among them， the XGBoost fusion model performed the best， with an accuracy of 0.850 and 0.838 in the training set and test set， respectively， an overfitting difference of 0.012， and an area under the micro-average ROC curve of 0.996. All fusion models showed an improvement in accuracy and area under the micro-average ROC curve compared with the base model in the test set. ConclusionTaking the TCM syndrome information of lung cancer as an example， the XGBoost fusion model has significant advantages in improving the diagnostic performance of TCM syndrome information of lung cancer through Stacking ensemble learning. It can be seen that the advantages of Stacking ensemble learning to integrate multiple models and effectively improve the diagnostic efficiency of TCM diagnostic models， which provided a methodological reference for similar studies.

Objective: To understand the oral health status and associated factors of preschool children with disabilities in Bengbu City, so as to provide evidence for preventing dental caries in children with disabilities. Methods: From September 2021 to March 2022, a total of 405 preschool children with disabilities from two rehabilitation institutions in Bengbu were randomly selected for oral health examination, questionnaire survey and physical examination. The caries prevalence rate among disabled children was analyzed. After grouping based on childrens BMI, the correlation between body mass index (BMI) and dental caries among children was explored. Multivariate binary Logistic regression analysis was employed to investigate the factors associated with dental caries occurrence in children. Results: The prevalence of dental caries in preschool children with disabilities was 74.07%, with rates of 71.01% for boys and 77.27% for girls. There was a significant difference in caries prevalence between boys and girls aged 5（66.67%，88.24%） (χ2=7.53, P<0.05). There were significant differences in the dmft index among different BMI groups (underweight: 240, normal weight: 606, overweight:30,obese:60,H=35.66,P<0.05). BMI was negatively correlated with dmft（r=-0.50，P＜0.01）. Frequent tooth brushing (2-3 times daily), the use of fluoride toothpaste, limited intake of sugary foods (< 2 times/d) in the past six months, and exclusively breastfeeding within first six months were negatively correlated with the occurrence of dental caries in disabled children (OR=0.09，0.41，0.24, P＜0.05). Sleep forward to eat，parental education level of junior high school or lower, and parental education of vocational school or high school were positively correlated with dental caries (OR=3.18，5.95，3.99，66.95，7.75，P＜0.05). Conclusions The caries prevalence rate of disabled children in Bengbu City is high and is influenced by multiple factors. It is time to strengthen the oral health training for parents and teachers in educational institutions, pay attention to childrens oral health care, and help disabled children improve their quality of life.

Currently,electroencephalogram(EEG),functional near-infrared spectroscopy(fNIRS),and functional magnetic resonance imaging have been widely studied and applied to neuropsychiatric disorders.In recent years,the devices which can realize the simultaneous acquisition of EEG and fNIRS has been developed and gradually applied in the studies on neuropsychiatric disorders.The review provides an introduction of the techniques of synchronized detection and data analysis for EEG-fNIRS,summarizes the analysis methods and new findings of the recent studies of stroke,epilepsy,and other neuropsychiatric disorders using EEG-fNIRS,and also discusses the future research directions.

Objective To systematically analyze the effect of virtual reality(VR)and augmented reality(AR)on cognition,emotion and adaptive behavior in children and adolescents with autism spectrum disorder(ASD). Methods The randomized controlled trials(RCT)about the effect of VR or AR interventions on cognition,emotion and adaptive behavior in children and adolescents with ASD were retrieved from databases of PubMed,Cochrane Li-brary,Embase,Web of Science,CNKI,VIP and Wanfang data from January,2008 to August,2024,and a system-atic review was conducted. Results Nine RCT from China,Italy,Spain,Iran and the United Kingdom,involving a total of 384 participants,were in-cluded,published between 2016 and 2024.Participants aged two to 15 years.The approaches included VR im-mersive headsets,Xbox 360 Kinect game consoles,CAVE-style immersive virtual environments and AR;cov-ered daily life scenario experiences,cognitive and social scenario training,and emotion recognition tasks.Out-come measures involved cognitive function,emotional function,attention,memory,basic interpersonal communi-cation and adaptive behavior.Interventions typically lasted 15 to 60 minutes a time,one to three times a week,for three to 24 weeks.VR-based training improved overall cognition,emotion recognition,emotional control and expression,basic interpersonal communication and adaptive behavior;while AR-based training improved execu-tive function,spatial orientation,task focus and memory. Conclusion VR and AR are effective on overall cognitive function,emotional function,attention,memory,basic inter-personal communication and adaptive behavior in ASD children and adolescents.

Objective To analyze the clinical characteristics of lung adenocarcinoma patients with positive EGFR mutations detected in pleural effusion.Methods We retrospectively analyzed the clinical characteristics including gender,age,smoking history,presence of other underlying diseases(such as COPD,cardiovascular disease,and diabetes),site of pleural fluid,feature of pleural fluid,and TNM stage in patients with lung adenocar-cinoma who had been admitted to the first Affiliated Hospital of Bengbu Medical College from 2020.01 to 2022.12 for the first time by the detection of EGFR mutation positive in pleural effusion.The data were statistically analyzed using the SPSS 26.0 software.Results A total of 126 patients were screened for enrollment,including 61 patients(48.41%)with EGFR exon 19 deletion mutation(19del),56 patients(44.44%)with exon 21 L858R mutation(21L858R),and 9 patients(7.14%)with non-classical mutations.Univariate analysis showed that the three muta-tion subtypes were statistically significant in terms of gender,age,smoking history,and presence of COPD(P<0.05 for all comparisons),but not in terms of pleural fluid site,feature of pleural fluid,tumor size,and presence of cardiovascular disease,diabetes mellitus,presence of distant metastases,and mediastinal lymph node metastases(P>0.05 for all comparisons);Multivariate analysis showed that 21 L858R mutation was more likely to be found in male,older age,non-smoking,and presence of COPD than 19del mutation;non-classical mutation was more likely to be found in male than 19del mutation.Conclusions There are significant differences among the three mutation subtypes in sex,age,smoking history,and presence of COPD,but not in pleural fluid location,feature of pleural fluid,tumor size,presence of cardiovascular disease or diabetes mellitus,presence of distant metastases,or medias-tinal lymph node metastases;Among lung adenocarcinoma patients with positive EGFR mutations in pleural fluid,21 L858R mutation mostly occurs in male,older age,non-smokers,and those complicated with COPD,while non-classical mutation mainly develops in male.However,more case studies are needed to confirm the above conclusions.

Objective:To evaluate the efficacy of lumbar cisterna drainage(LCD) in treating paraplegia after thoracic endovascular aortic repair(TEVAR) for acute aortic dissection.Methods:A retrospective descriptive study was used to analyze 4 patients with aortic dissection who developed paraplegia after transthoracic aortic stent graft repair (TEVAR) admitted to Beijing Friendship Hospital Affiliated to Capital Medical University from May 2015 to May 2022. There were 3 males and 1 females, aged between 38 and 65 years old. All patients with paraplegia after TEVAR were treated with LCD. Follow-up was carried out by outpatient and telephone for 12 months. The imaging indicators and clinical efficacy were observed.Results:Two patients were fully recovered before discharge, one patient was completely recovered by about 3 months after surgery, and one patient still had reduced sensation and grade 4 muscle strength at 12 months of follow-up. The CT angiography of all 4 patients did not show any evidence of endoleak, and there was no enlargement of the distal dissecting aneurysm.Conclusion:Lumbar cisterna drainage can alleviate or cure paraplegia caused by spinal cord ischemia after TEVAR for acute aortic dissection.