Autoimmune hepatitis （AIH） is a chronic inflammatory liver disease. The pathogenesis of AIH remains unclear， but it is mainly autoimmune injury caused by the breakdown of autoimmune tolerance due to the abnormal activation of the immune system， while the specific molecular mechanism remains unknown. Recent studies have shown that abnormal amino acid metabolism plays an important role in the development and progression of AIH. This article reviews the research advances in amino acid metabolic reprogramming in AIH， in order to provide a theoretical basis for amino acid metabolism as a new target for the clinical diagnosis and treatment of AIH.

Objective: To assess the awareness and associated factors of wild mushroom poisoning among students in Guizhou Province, so as to provide a scientific foundation for wild mushroom poisoning prevention and control among students. Methods: By a multi stage stratified cluster random sampling method, 1 162 students from Guizhou Province were selected in May 2024. The questionnaire survey was administered to evaluate knowledge regarding wild mushroom poisoning. Data were analyzed employing the χ 2 test and Logistic regression model. Results: Among the nine questions assessing awareness of wild mushroom poisoning, only three had the awareness rate exceeding 70%. Binary Logistic regression analysis revealed that students who "actively learn about the prevention of wild mushroom poisoning" ( OR=0.48, 95%CI =0.26-0.92) and "spread knowledge about wild mushroom poisoning to others" ( OR=0.47, 95%CI =0.33-0.69) scored higher on the wild mushroom poisoning knowledge questions ( P <0.05). Conversely, students with a habit of consuming wild mushrooms ( OR=1.52, 95%CI =1.15-2.02) scored lower ( P < 0.05 ). 42.3% of the students suggested that scientific dissemination and publicity about wild mushrooms should be intensified. Conclusions The awareness rate of wild mushroom poisoning knowledge among students in Guizhou Province requires further attention. Comprehensive knowledge should be disseminated systematically through various channels to further improve students awareness of the prevention and control of wild mushroom poisoning.

OBJECTIVE To evaluate the clinical value of anlotinib in third-line treatment for patients with advanced non-small cell lung cancer （NSCLC） through real-world data. METHODS Clinical data of patients with advanced NSCLC who received treatment at the First Affiliated Hospital of Anhui University of Chinese Medicine from February 2021 to December 2024 were retrospectively collected. They were divided into anlotinib group （27 cases， receiving anlotinib therapy） and immunotherapy group （22 cases， receiving immunotherapy agents alone or in combination with chemotherapy drugs） according to treatment regimens. The progression-free survival （PFS） and overall survival （OS） of patients were compared between the two groups， and the occurrence of adverse drug reactions during the treatment period was recorded. Using a partitioned survival model， an economic evaluation of the two treatment regimens was conducted with a cost-utility analysis approach from the perspective of the healthcare system. RESULTS The median PFS and OS of patients in the anlotinib group were 5.93 months and 11.27 months， respectively； the median PFS and OS of patients in the immunotherapy group were 5.33 months and 9.77 months， respectively； the difference was not statistically significant （P＞0.05）. There was no statistical difference in the total incidence of adverse drug reactions and grade 3-4 serious adverse drug reactions between the two groups （P＞0.05）. Compared with the immunotherapy group， the incremental cost-effectiveness ratio of the anlotinib group was 1 806 724.60 yuan/quality-adjusted life year （QALY）， which was significantly higher than three times China’s per capita gross domestic product in 2024 （287 247 yuan/QALY）. CONCLUSIONS For third-line treatment of advanced NSCLC patients， the efficacy of anlotinib is no worse than that of immunotherapy alone or in combination with chemotherapy drugs， and the safety of the two groups is comparable. However， anlotinib is not cost-effective.

This case report presents a 16-year-old male patient with deficiency of adenosine deaminase 2(DADA2). The patient had a history of Raynaud′s phenomenon with digital ulcers since childhood. As the disease progressed, the patient developed retinal vasculitis, intracranial hemorrhage, skin necrosis, severe malnutrition, refractory hypertension, and gastrointestinal bleeding. Genetic testing revealed compound heterozygous mutations in the ADA2 gene (paternal c.1072G > A pathogenic mutation + maternal c.1065C > A variant of unknown clinical significance). ADA2 enzyme activity was significantly reduced (0.1 U/L). A multidisciplinary treatment team developed an individualized plan to address key issues, including nutritional support, blood pressure control, rehabilitation, pain management, and balancing anticoagulation/bleeding risks. After systematic intervention, the patient′s condition showed partial improvement. This case reveals clinical challenges such as anticoagulation decisions and nutritional support of DADA2. It also emphasizes the importance of early molecular diagnosis, tumor necrosis factor-α inhibitor targeted therapy, and multidisciplinary collaboration in management, underlining the core value of precision medicine in rare disease management.

AIM:To evaluate the efficacy and safe-ty of vedolizumab in the treatment of inflammato-ry bowel disease.METHODS:The clinical data of 25 patients with inflammatory bowel disease(IBD)(13 ulcerative colitis(UC)and 12 Crohn's disease(CD))treated with vedolizumab(VDZ)in the Anorectal department of our hospital from July 2020 to Au-gust 2023 were retrospectively collected.VDZ 300 mg was given intravenously at weeks 0,2 and 6 to induce remission,and 300 mg was given intrave-nously every 8 weeks to maintain remission.The evaluation was carried out after 30 weeks of treat-ment.The primary efficacy indicators included clini-cal response rate,clinical remission rate,and endo-scopic remission rate.The secondary efficacy indi-cators included nutritional status indicators(body weight(Wt),hemoglobin(HGB),albumin(ALB),he-matocrit(HCT)),inflammation degree indicators(high-sensitivity C-reactive protein(hs-CRP),eryth-rocyte sedimentation rate(ESR)).All adverse reac-tions that occurred during VDZ treatment were re-corded.RESULTS:The total clinical response rate of IBD patients treated with VDZ for 6 weeks and 14 weeks was 32％and 60％,respectively.The total clinical remission rate of IBD patients treated with VDZ for 14 weeks and 30 weeks was 16％and 36％,respectively.There was no significant difference in clinical response rate and clinical remission rate be-tween UC and CD treated with VDZ(P＞0.05).After 30 weeks of treatment,the body weight of UC pa-tients was significantly increased,the levels of HCT％,ALB and HGB were significantly improved,and the level of ESR was significantly decreased.Af-ter 30 weeks of treatment,the body weight of CD patients increased significantly,and the inflamma-tory index hs-CRP,nutritional index HCT％,ALB and HGB levels were significantly improved.One pa-tient had an increase in white blood cell count af-ter the third infusion of VDZ,and no other adverse reactions occurred.CONCLUSION:As an induction and maintenance therapy for IBD patients,VDZ can alleviate intestinal inflammation,relieve clinical symptoms,improve nutritional status and improve quality of life of patients,with high safety.

Objective:To develop a Cognitive Assessment Scale for Spinal Cord Injury (SCI) Rehabilitation and conduct reliability and validity tests in community-dwelling patients with SCI.Methods:Based on expectation value theory, social cognition theory, and goal setting theory, a Cognitive Assessment Scale for SCI Rehabilitation was developed through literature review, group discussions, patient trials, and expert verification. From February to December 2021, convenience sampling was used to select 231 community-dwelling patients with SCI as research subjects, including 67 community-dwelling patients with SCI who participated in rehabilitation training at Shanghai Sunshine Rehabilitation Center and 164 patients with SCI in the "Hope Home" WeChat group of Shanghai Sunshine Rehabilitation Center. Research subjects were surveyed using the Cognitive Assessment Scale for SCI Rehabilitation (patient version), 9-item depression scale of Patient Health Questionnaire, 7-item Generalized Anxiety Disorder Scale, EuroQol 5 Dimension-Visual Analogue Scale (EQ-VAS), General Self-Efficacy Scale, and general information questionnaire. SPSS 16.0 software and Amos 21.0 software were used for correlation analysis and reliability and validity testing.Results:The Cognitive Assessment Scale for SCI Rehabilitation (patient version) included two primary dimensions, eight secondary dimensions, and 24 items. The trial showed good results among patients with SCI and their caregivers, and experts generally agreed. Exploratory factor analysis found that the scale were divided into recognition dimension and understanding dimension. Cronbach's α coefficient of the scale was 0.98, the correlation coefficient between each item and its corresponding dimension was 0.75 to 0.88, and our results indicated good test-retest reliability. Correlation analysis showed that patient anxiety and depression scores were negatively correlated with rehabilitation cognitive scores ( P<0.05), and self-efficacy, quality of life were positively correlated with rehabilitation cognitive scores ( P<0.05) . Conclusions:The Cognitive Assessment Scale for SCI Rehabilitation is scientific and feasible, with good reliability and validity, and can be used to evaluate the rehabilitation cognition of community-dwelling patients with SCI.

Objective To investigate the effects of insulin therapy on the mechanical behavior of solids,characteristics of fluid flow,and bone marrow stromal cells(BMSCs)differentiation in the distal femoral cancellous bone of type 2 diabetic rats under normal activity and vigorous exercise conditions.Methods The finite element models of cancellous bones and fluids in the distal femurs of rats in the control,diabetes,treatment,and placebo groups in 4-week and 8-week insulin treatment experiments under normal activity and vigorous exercise conditions were established based on micro-CT scanning images.The mechanical and cell differentiation parameters of the models in each group were analyzed using the fluid-solid interaction numerical simulation method.Correlations between mechanical,cell differentiation,and microstructural morphology parameters were also analyzed.Results Insulin therapy under normal activity and vigorous exercise conditions improved the solid and fluid mechanical parameters and BMSC differentiation parameters in type 2 diabetic rats.In the 4-week experiment,insulin treatment under normal activity and vigorous exercise conditions increased the differentiation areas of bone in type 2 diabetic rats from 64.024%to 69.372%and from 73.225%to 75.336%,respectively;in the 8-week experiment,insulin treatment under normal activity and vigorous exercise conditions increased the differentiation areas of bone in type 2 diabetic rats from 67.239%to 72.910%and from 76.147%to 78.291%,respectively.Morphological parameters BV/TV,Tb.N,Tb.Th,Tb.Sp,and structure model index were significantly correlated with the differentiation areas of the bone and cartilage(P<0.05).Conclusions Under vigorous exercise conditions,BMSCs on the surface of cancellous bone in the 8-week insulin treatment group were more likely to differentiate into bone tissue.This study is of great significance for further understanding the effects of insulin on the bone under normal activity and vigorous exercise conditions,and provides theoretical guidance for the selection of the insulin therapy cycle and exercise mode in the clinical treatment of type 2 diabetes.

Objective To explore the risk factors of 1-year readmission in patients after percutaneous coronary intervention(PCI)treated with Bayaspirin combined with Clopidogrel and to construct a risk prediction model.Methods The clinical data of patients with myocardial infarction(MI)who underwent primary PCI in the Department of Cardiovascular Medicine of Lishui People's Hospital from January 2020 to June 2023 were retrospectively analyzed.The patients were divided into the readmission group(RG)and the non-readmission group(NRG)according to whether they were readmitted due to myocardial reinfarction or complications of MI within 1 year.Univariate analysis was used to explore the differential variables between the RG and NRG groups.Multivariate Logistic regression(Stepwise)was used to explore the risk factors of 1-year readmission in patients after PCI and the"optimal model".The"optimal model"was visualized using R software and transformed into a nomogram risk prediction model.The predictive ability of the Nomogram risk prediction model was evaluated using the receiver operating characteristic(ROC)curve.The calibration of the Nomogram risk prediction model was evaluated using the calibration curve(resampling,Bootstrap n=1 000).The net benefit of the nomogram risk prediction model was evaluated using the decision curve.Results A total of 100 patients were included in the study and the readmission rate within 1 year was 34.00％.Age(≥63 years old),diabetes,the number of diseased vessels(≥2),monocyte-high-density lipoprotein ratio(≥0.36),and prognosis nutrition(＜39.39)were independent risk factors for readmission in patients with MI after PCI(all P＜0.05).ROC analysis showed that the readmission risk prediction model had a good predictive efficiency for readmission in patients with MI after PCI,with an area under ROC curve of 0.903(95％CI:0.836-0.970).The calibration curve showed that the"predicted readmission probability"was approximately consistent with the"actual readmission probability";the decision curve showed that the net benefit of the readmission risk prediction model nomogram was higher than that of the"all"clinical net benefit.Conclusion The readmission prediction model of patients with MI after PCI constructed in this study can accurately identify high-risk groups of readmission and may be beneficial for the standardized management of patients after PCI in clinical practice,improve the long-term prognosis of patients.

In recent years,the international drug control situation has become increasingly serious.According to the statistical data of the year 2021 from UNODC,in the past decade,the trafficking volume of traditional drug(such as methamphetamine,cannabis and cocaine)has continued to rise,new psychoactive substances(NPS)have emerged one after another,the drugs as well as their precursors and metabolites have become a new group of pollutants.They widely exist in environmental media such as water,air,sludge and soil,due to the manufacture and abuse of drugs,which endangers human and animal safety.Drug detection data from environmental samples can reflect the local drug use situation objectively,real-time,accurately and effectively,which is helpful to grasp the spatial distribution and time changes,monitor the development trends of drug abuse,assess the trend of drug abuse reasonably,and assist in combating related illegal and criminal activities through comprehensive data analysis.At present,sewage monitoring has become an important means of drug monitoring in countries around the world.Sewage testing can assess drug consumption in a place reasonably,and sewage network traceability technology can reduce the scope of regional investigation of drug manufacturing dens effectively,so as to combat accurately.Drug detection in the atmosphere,sludge and soil has been carried out in some foreign countries,but it has not been used as a long-term monitoring means.Long-term monitoring of drugs from the environment in a variety of ways not only helps to effectively update the drug situation in the region,but also to better understand local trends in drug use and identify new drugs of abuse.It will provide data support for more accurate monitoring and combating drug crimes in the future.This paper reviews the methods for detecting drugs and other related compounds in different environmental matrices including sewage,atmosphere and sludge in China and other countries,including the study on the sources and forms of related compounds in different environments,the preparation of different matrix samples and the quantitative analysis of drugs from environment,as well as the existing problems and shortcomings of various detection methods.Finally,the drug detection technology and comprehensive monitoring system in the environment are prospected.

Objective To explore the independent risk factors that affect the overall survival(OS)of elderly patients with hepatocellular carcinoma(HCC,≥60 years old)and build a nomogram prediction model.Methods Clinical data of all elderly patients with HCC from the SEER database from 2005 to 2020 were downloaded from SEER database.In accordance with the inclusion and exclusion criteria,the screened patients were randomly assigned to a training group(70%)and a validation group(30%).The independent risk factors of elderly patients with HCC were determined by univariate and multivariate Cox regression analyses and further validated by Kaplan-Meier survival analysis.On the basis of the determined variables,nomograms were developed and verified to predict the OS of elderly patients with HCC at 6,12,and 24 months.The consistency index(C index),calibration curve,receiver's operating characteristic(ROC)curve,and area under curve(AUC)were used to evaluate the prediction efficiency and discrimination ability of the prediction model,and decision curve analysis(DCA)was used to evaluate the potential clinical application value of the nomogram.Results A total of 1134 elderly patients with HCC were included,with 793 in the training group and 341 in the validation group.Seven variables,including age,clinical grade,clinical stage,M stage,tumor size classification,and radiotherapy,were identified as independent prognostic factors of this population.The constructed nomogram shows excellent prediction performance,with C indices of 0.745 in the training group and 0.704 in the validation group.The AUC values of the training group at 6,12,and 24 months were 0.785,0.788,and 0.798,respectively,and those of the validation group were 0.780,0.725,and 0.607,respectively.The calibration curve shows good consistency from the predicted survival probability to the actual probability.The ROC curve and DCA show that the nomogram proposed in this study has good prediction ability.Conclusion Age,clinical grade,clinical stage,M stage,tumor size classification,and radiotherapy are important influencing factors for the survival of elderly patients with HCC.The prediction model of prognosis nomogram constructed in this study has good predictive value,and it can be used to predict the OS of elderly patients with HCC,which could be helpful for individualized survival assessment and clinical management of these patients.