Objective: To understand the incidence risk and risk factors of tuberculosis (TB) among middle school students in Chongqing, so as to provide a basis for formulating TB prevention and control strategies. Methods: From September to December 2022, 32 181 middle school students were selected as the study cohort from 15 administrative districts in Chongqing by using the stratified cluster random sampling method. All cohort members were screened with the tuberculin skin test (TST), and relevant information was collected from January 1, 2023 to December 31, 2024. On the basis of active screening, the follow up data of the participants were compared with the National Tuberculosis Management Information System to obtain the incidence status of the study subjects. The Log rank test was used to compare the TB incidence rates among students with different characteristics, and a Cox proportional hazards model was established to analyze the incidence risk and risk factors of TB. Results: The TST screening rate of the cohort members was 93.0%. During the 2 year follow up period, a total of 36 TB cases occurred, with a cumulative incidence rate of 111.87/100 000 and an incidence density of 55.95/100 000. Among them, the cumulative incidence rate of students from public schools (170.44/ 100 000 ) was higher than that of students from private schools (41.16/100 000), the cumulative incidence rate of students in schools located in high epidemic areas (153.95/100 000) was higher than that in medium epidemic areas (69.00/100 000), and the difference was statistically significant ( χ 2=11.49, 4.73, both P <0.05). The Log-rank test for different TST results showed that the difference in TB comulative incidence rate between students with strongly positive TST results (216.55/ 100 000 ) and those with negative TST results (81.40/100 000) was statistically significant ( χ 2=5.85, P <0.05). Univariate analysis using the Cox proportional hazards model revealed that the risk of TB was lower in students from private schools ( HR=0.25, 95% CI = 0.10-0.59) and students in medium epidemic areas ( HR=0.46, 95%CI =0.23-0.94); whereas the risk of TB was increased in students with strongly positive TST results ( HR=1.39, 95%CI =1.05-1.84) (all P <0.05). Multivariate Cox regression analysis showed that the risk of TB in students from private schools was lower than that of students from public schools ( HR=0.23, 95%CI=0.08-0.62, P <0.05). Conclusions The annual average incidence rate of TB among middle school students in Chongqing is at a relatively high level. It is necessary to strengthen the management and intervention for student groups, including those in public schools, those in schools located in high epidemic areas, and those with strongly positive TST results, so as to reduce the incidence rate of TB.

OBJECTIVE To establish a closed-loop management system for the whole-process traceability of outpatient drugs based on internet of things （IoT） and blockchain technology， and evaluate its implementation effects. METHODS A closed-loop management system for the whole-process traceability of outpatient drugs covering the entire drug lifecycle was designed using drug traceability codes integrated with IoT and blockchain technology. System effectiveness was evaluated from three dimensions： work efficiency， medication management quality and data safety by comparing indicators such as the acceptance time of incoming drugs and the number of collected drug traceability codes before the system implementation （October to December 2024） and after the system implementation （January to March 2025）. RESULTS A closed-loop management system for the whole-process traceability of outpatient drugs， centered around the drug traceability code management system， was successfully established. The acceptance time for incoming drugs was shortened from （4.65±0.26） h before implementation to （0.34±0.08） h after implementation （P＜ 0.05）. The number of collected drug traceability codes increased from 419 018 to 1 236 522， and the coverage rate of traceability codes rose from 28.36% to 89.88% （P＜0.05）. The time pharmacists spent on drug expiry management per week decreased from （128.40±19.20） min to （0.56±0.13） min （P＜0.05）， and the dispensing time for a single prescription （excluding a part of injections and repackaged drugs） was reduced from （143.25±17.67） s to （15.24±10.08） s （P＜0.05）. The time for drug return was reduced from 129.90 （122.32， 137.00） s to 104.36 （89.91， 117.33） s（P＜0.05）； the number of drug dispensing errors decreased from 2 cases to 0 cases. After the system was launched， there were no data security incidents in our outpatient pharmacy. CONCLUSIONS The constructed closed-loop management system for the whole-process traceability of outpatient drugs can significantly enhance drug traceability accuracy and drug management quality， improve pharmacist work efficiency， and reduce drug management risks， thus providing a feasible solution for the digital transformation of hospital pharmaceutical services.

Objective To investigate the impact of apolipoprotein E(ApoE)gene polymorphism on the lipid-modifying efficacy of alirocumab.Methods A total of 187 patients with dyslipidemia were retrospectively selected for this study.All patients received alirocumab therapy for 6 months.The patients'ApoE gene polymorphism was determined by genotyping using the Sequenom Mass Array system,and they were divided into risk type genotype E4 group(42 cases),common type genotype E3 group(123 cases),and protective type genotype E2 group(22 cases)based on different genotypes.The lipid levels and occurrence of adverse events before and after treatment were compared among the three groups.Results Among the 187 patients,the allele frequencies of ε2,ε3 and ε4 were 7.49％,78.88％and 13.64％,respectively,and the genotype distribution was in Hardy-Weinberg equilibrium.After treatment,the triglycerides(TG)levels in the E2,E3 and E4 groups were(1.42±0.22),(1.56±0.29)and(1.78±0.37)mmol·L-1,respectively;low-density lipoprotein cholesterol(LDL-C)levels were(1.85±0.19),(2.02±0.25)and(2.23±0.41)mmol·L-1,respectively;apolipoprotein A1(ApoA1)levels were(0.85±0.11),(0.92±0.16)and(1.78±0.37)g·L-1,respectively;total cholesterol(TC)levels were(3.03±0.32),(3.42±0.39)and(3.68±0.45)mmol·L-1,respectively;high-density lipoprotein cholesterol(HDL-C)levels were(1.41±0.32),(1.33±0.26)and(1.19±0.20)mmol·L-1,respectively,with statistically significant differences(all P＜0.05).The overall incidence of adverse events in the E2,E3 and E4 groups were 9.09％,11.38％and 19.05％,respectively,with no statistically significant difference(all P＞0.05).Conclusion Compared to the E3 and E4 subtypes,the E2 subtype has superior lipid-modifying effects,but different subtypes do not affect the safety of drug use in patients.

Celastrol and wilforlide A are the main active triterpenoids of the traditional Chinese medicine Lei Gong Teng, which have anti-tumour, anti-inflammatory and immunosuppressive activities, and are the material basis for the clinical efficacy of Lei Gong Teng-related Chinese medicinal preparations. By analysing the biosynthetic pathway of active ingredients, optimizing genetic elements and utilizing "cell factory" to produce triterpenoids heterologously will be an effective way to obtain from Tripterygium wilfordii in the future in a "low-cost and high-efficient" manner. CYP712Ks are the first cytochrome P450s involved in the skeleton modification of friedelane-type and oleanane-type triterpenoids in T. wilfordii, and they can catalyse the generation of polpunonic acid from friedelin and 3-epi-katonic acid from β-amyrin by carboxylation at C-29 position. In this study, four multifunctional TwCYP712K1/2/3/5 were used to clarify the catalytic function and substrate selection preference using in vivo functional characterization in Saccharomyces cerevisiae. The spatial structure of the protein-substrate binding was clarified through homology modeling and molecular docking, and then the differential amino acids in the active pocket of the protein were mutated to clarify the crucial amino acids determining the catalytic function and the selection of substrate structure. A total of 63 mutant elements were constructed, and the amino acid sites affecting the carboxylation function of TwCYP712Ks were analyzed. In particular, the key amino acids affecting the substrate selectivity of TwCYP712K2 towards oleanane-type and friedelane-type triterpenoids were revealed and the TwCYP712K2^F127I and TwCYP712K2^A227T mutants would result in a reversal of the product ratio. In conclusion, four proteins of TwCYP712Ks were semi-rationally designed by homologous protein alignment and mutual mutation to elucidate multiple amino acid sites determining the catalytic function of the proteins, and a series of activity-enhancing or altering mutants were obtained, which provide abundant catalytic elements for the biosynthesis of active triterpenoids from T. wilfordii, and the mechanism of carboxylation in the C-29 position was initially elucidated.

ObjectiveTo observe the effects of Xibining （XBN） and adipose stem cell exosome （ADSC-Exos） in the cases of separate or joint application on cartilage degeneration and mitochondrial autophagy and explore its mechanism of action to improve knee osteoarthritis （KOA）. MethodSD rats were divided into a sham operation group （sham group）， a model group， an ADSC-Exos group （Exos group）， an XBN group， and an ADSC-Exos+XBN group （Exos+XBN group）. KOA model was established by using anterior cruciate ligament transection （ACLT）. The pain sensitivity status of rats was evaluated， and the degeneration degree of the knee joint and cartilage tissue was detected by Micro-CT and pathological staining. The expression of p62 and LC3B was observed by immunofluorescence， and the serum levels of TNF-α， IL-1β， IL-6， and IL-15 in rats were detected by ELISA. The Western blot was used to detect the protein expression levels of MMP-3， MMP-13， ADAMTS5， ColⅡ， TIMP， ACAN， PINK1， Parkin， p62， and LC3A/B. ResultCompared with the sham group， rats in the model group showed decreased cold-stimulated foot-shrinkage thresholds and mechanical pain sensitivity thresholds， varying degrees of abrasion and loss of cartilage tissue， degeneration of cartilage tissue， elevated serum IL-1β， IL-6， IL-15， and TNF-α levels （P<0.01）， and increased protein expression of MMP-3， MMP-13， and ADAMTS5 in cartilage tissue. In addition， the protein expression of ColⅡ， TIMP1， and ACAN was decreased （P<0.01）. Compared with the model group， rats in each treatment group showed higher cold-stimulated foot-shrinkage thresholds and mechanical pain sensitivity thresholds， reduced cartilage tissue degeneration， lower serum levels of IL-1β， IL-6， IL-15， and TNF-α （P<0.05，P<0.01）， decreased protein expression of MMP-3， MMP-13， and ADAMTS5， and higher protein expression of Cold， TIMP1， and ACAN in cartilage tissue （P<0.05，P<0.01）. Moreover， the changes were the most obvious in the Exos+XBN group. ConclusionBoth ADSCs-Exos and XBN can increase the level of mitochondrial autophagy in chondrocytes and delay cartilage tissue degeneration by promoting the expression of the PINK1/Parkin signaling pathway， and the combination of the two can enhance the therapeutic effect.

Objective To explore the impact of contrast agent concentration on the excimer laser's effect on plaque ablation.Methods Using a laser catheter with a diameter of 0.9 mm,we conducted plaque model ablation experiments employing a 308-nanometer xenon chloride excimer laser.During the excimer laser ablation process,five groups were formed based on the injected contrast agent concentrations:a saline group,25%concentration group,50%concentration group,75%concentration group,and 100%concentration group.Optical coherence tomography was utilized to assess the changes in plaque lumen area after excimer laser ablation,evaluating the impact of contrast agent concentration on the excimer laser's ablation efficacy.Simultaneously,a water manometer was used to measure the shockwave pressure generated by the excimer laser in liquids with different contrast agent concentrations,aiming to explore the correlation between the shockwave pressure of the excimer laser and its ablative effect.Results The ablation areas in the 75%concentration group and the 100%concentration group were similar(P＞0.05),both exceeding those in the 50%concentration contrast agent group,25%concentration group,and saline group(all P＜0.001).Specifically,the ablation area in the 50%concentration group was significantly larger than that in the 25%concentration group and saline group(both P＜0.001),while the 25%concentration group was larger than the saline group(P＜0.001).The influence of contrast agent concentration on the shockwave pressure of the excimer laser exhibited a similar trend.Additionally,there was a significant positive correlation between the shockwave pressure generated by the excimer laser and its ablation area(r=0.9987,P＜0.001).Conclusions The intensity of excimer laser ablation on plaque tissue can be modulated by altering the contrast agent concentration.These findings offer guidance for the application of excimer laser in conjunction with contrast agent injection techniques in the treatment of coronary artery disease.

Objective To study the stress change characteristics of the cervical disc after removing different ranges of the uncinate process by establishing a three⁃dimensional finite element model of the C

Deep vein thrombosis(DVT)is a common peripheral vascular disease in clinical practice.The lack of precise and efficient early diagnostic techniques renders it susceptible to being overlooked or misdiagnosed,and therefore,identifying trustworthy biomarkers is a major issue that has to be resolved.In this study,the endogenous metabolites in the urine of DVT rats were screened by metabolomics technology based on gas chromatograph-mass spectrometry(GC-MS)and the characteristic metabolites were identified by multiple feature selection algorithms and multivariate statistical analysis,for the development of a machine learning-based diagnostic model for DVT.The urine samples in metabolic cage in the thrombus development phase(between 48 and 72 h)of rats were collected,which was used as the models for inferior vena cava ligation.The metabolic profiles of the control group and DVT were obtained using the GC-MS method.A total of 176 kinds of endogenous metabolites were identified in rat urine through comparison with the FiehnLib database,26 kinds of differential metabolites associated with DVT were screened through a combination of the Mann-Whitney U test and orthogonal partial least squares discriminant analysis(OPLS-DA),and 13 kinds of significant metabolites strongly correlated with DVT were further evaluated in conjunction with various machine learning feature selection techniques.For DVT diagnosis,machine learning models such as Gaussian Naive Bayes(GNB),support vector machine(SVM),logistic regression(LR),and linear discriminant analysis(LDA)were developed.The diagnostic model constructed using 13 kinds of key metabolites demonstrated excellent accuracy and stability,and surpassed the predictive performance of the models utilizing 176 kinds of metabolites and 26 kinds of differential metabolites,as evidenced by examination and comparison of each model's efficacy.The study showed that the integration of multiple feature selection algorithms for analyzing metabolite information in DVT rat urine was capable of effectively identifying reliable potential markers of DVT.Furthermore,the developed machine learning model offered a novel technical approach for the automated diagnosis of DVT.

Objective To explore the correlation between endoscopic ultrasound features and immunohistochemical results of gastric stromal tumors at different risk levels,and provide reference for clinical diagnosis and treatment.Methods Retrospective collection of relevant indicators of gastric stromal tumor patients who received concurrent surgical treatment at Lanzhou University Second Hospital from January 2018 to July 2023,and analysis of differences in risk levels.Results The average age of onset of gastric stromal tumors was(56.02±10.94)years old,and the initial symptom of black stool was significant for different grades of gastric SMTs.Patients with different risk levels also received significant differences in treatment methods(P＜0.05).There was no difference in the classification of risk levels among the four groups of extremely low risk,low risk,medium risk,and high risk in terms of location,origin level,boundary,echo,presence or absence of cystic changes,calcification,or blood flow signals(P＜0.05);Tumor size,growth pattern,shape,internal echo uniformity,and appearance are significant factors for postoperative risk grading of gastric stromal tumors(P＜0.05).Multivariate logistic regression showed that tumor size is an independent influencing factor(P＜0.05).The immunohistochemical results showed that the positivity of DOG-1,CD34,SMA,and Desmin had no effect on the postoperative risk grading of gastric SMTs(P＜0.05);The positive expression of Vimentin,Ki-67 index,and mitosis were significantly correlated with risk(P＜0.05).Conclusion The different invasion grades of gastric stromal tumors are related to the size,shape,and echo of the lesion.Endoscopic ultrasound can effectively diagnose gastric stromal tumors,and combining with immunohistochemical related indicators can better evaluate the overall condition of patients with gastric stromal tumors,providing reference for clinical diagnosis and treatment.

Hyaluronan and proteoglycan link protein 1(Hapln1)supports active cardiomyogenesis in zebrafish hearts,but its regulation in mammal cardiomyocytes is unclear.This study aimed to explore the potential regulation of Hapln1 in the dedifferentiation and proliferation of cardiomyocytes and its therapeutic value in myocardial infarction with human induced pluripotent stem cell(hiPSC)-derived car-diomyocytes(CMs)and an adult mouse model of myocardial infarction.HiPSC-CMs and adult mice with myocardial infarction were used as in vitro and in vivo models,respectively.Previous single-cell RNA sequencing data were retrieved for bioinformatic exploration.The results showed that recombinant human Hapln1(rhHapln1)promotes the proliferation of hiPSC-CMs in a dose-dependent manner.As a physical binding protein of Hapln1,versican interacted with Nodal growth differentiation factor(NODAL)and growth differentiation factor 11(GDF11).GDF11,but not NODAL,was expressed by hiPSC-CMs.GDF11 expression was unaffected by rhHapln1 treatment.However,this molecule was required for rhHapln1-mediated activation of the transforming growth factor(TGF)-β/Drosophila mothers against decapentaplegic protein(SMAD)2/3 signaling in hiPSC-CMs,which stimulates cell dedifferentiation and proliferation.Recombinant mouse Hapln1(rmHapln1)could induce cardiac regeneration in the adult mouse model of myocardial infarction.In addition,rmHapln1 induced hiPSC-CM proliferation.In conclusion,Hapln1 can stimulate the dedifferentiation and proliferation of iPSC-derived cardiomyocytes by promoting versican-based GDF11 trapping and subsequent activation of the TGF-β/SMAD2/3 signaling pathway.Hapln1 might be an effective hiPSC-CM dedifferentiation and proliferation agent and a po-tential reagent for repairing damaged hearts.