Objective:To conduct a cost-utility analysis of Tuberculosis Preventive Treatment(TPT)strategies for Latent Tuberculosis Infection(LTBI)individuals,providing a scientific basis for the implementation of TPT strategies and fund allocation.Methods:Based on a simulated population of 100 000 LTBI individuals,a decision tree-Markov Model was constructed to compare the cost-utility of six TPT strategies over 20 years.Results:Compared with no treatment,3HP-SAT,3HP-DOT,3HR-SAT,3HR-DOT and Vaccae could prevent 91.08％,94.15％,83.49％,87.18％and 53.13％of ATB cases,respectively,and avoid 3.55％,3.70％,3.30％,3.43％,and 2.06％of LTBI individuals from dying of ATB.Except for Vaccae,other schemes could reduce costs and improve QALYs,being absolutely dominant strategies,while Vaccae was a relatively dominant strategy.3HP under DOT was more cost-utility than that under SAT.Sensitivity analysis showed that the utility value of curing ATB was the only parameter affecting the ICUR result,and the model result was stable and reliable.When the WTP threshold was greater than 41 608.54 yuan/QALY,3HP-DOT was better than 3HP-SAT;otherwise,3HP-SAT was the optimal strategy.Conclusion:TPT for LTBI individuals has high cost-utility value.Clarifying the advantages of short-course therapy helps promote the implementation of TPT strategies and contributes to achieving the goal of"ending tuberculosis".

Objective:To understand the factors influencing new infections of 9-valent vaccine-type human papillomavirus (9-valent type HPV) among men who have sex with men (MSM) in Urumqi City and to construct a prediction model of individual dynamics of new infections of 9-valent type HPV among MSM.Methods:In this study, a snowball method was adopted to recruit MSM in Urumqi City to establish a dynamic cohort, and participants were followed up every 6 months from 2016 to 2023, and perianal exfoliated cells were collected for HPV genotyping; joint models were established using the number of same-sex sexual partners in the last six months and the number of anal intercourse in the last one week as longitudinal variables, respectively, and joint models were utilized to analyze the influence factors of 9-valent HPV new infections in MSM individuals were analyzed by the joint model; the predictive efficacy of the model in the follow-up period was evaluated by using the time-dependent receiver operating characteristic area under the curve (AUC) values. Based on the prediction model, two study participants were randomly selected for individual dynamic prediction of new-onset HPV infections of 9-valent type types.Results:MSM with at least two follow-up visits 579 individuals were included in the analysis. The results of the two joint models showed that being divorced/widowed [hazard ratio ( HR)=1.544, 95% CI: 1.033-2.233], having a sexual behavior style of being the inserted party ( HR=1.366, 95% CI: 1.053-1.764), and having a history of STDs ( HR=1.659, 95% CI: 1.057-2.558) increased the 9-valent types of new HPV infections risk. The results of the shared parameter of the joint model of the number of same-sex partners in the last six months showed that each 2.72 increase in the number of same-sex partners in the last six months was associated with a 28.2% increase in the risk of new 9-valent HPV infections in MSM individuals ( HR=1.282, 95% CI: 1.065-1.540). The time-dependent AUC results showed that the joint model for the number of same-sex sexual partners in the last six months (0.808 0) predicted better performance than the joint model for the number of anal intercourse in the last one week (0.750 0). The joint model based on the number of same-sex sexual partners in the last six months for the prediction of MSM individual dynamics was consistent with the real situation. Conclusion:The joint model based on the number of same-sex sexual partners in the last six months, sexual behavior, history of STDs, and other risk factors has high accuracy in predicting the risk of new MSM 9-valent HPV infections in Urumqi City, which can provide a scientific basis for the prediction of individual dynamics of new MSM 9-valent HPV infections.

Objective:To analyze the pangenome, pan drug resistance genes, pan virulence genes, pan replicons, and others of the plasmids carried by hypervirulent Klebsiella pneumoniae (hvKP) in the world and their evolutionary trends over time, and provide evidence for more comprehensive understanding of the evolution of genetic diversity, drug resistance genes, and virulence genes of the plasmids. Methods:From the National Center for Biotechnology Information database, a total 1 738 plasmids were screened from 524 strains with completed genome sequences in 2 136 strains of hvKP carrying plasmids. Through pangenome, pan drug resistance gene, and pan-virulence gene composition and functional analyses, the curves of pangenome size and new gene size against plasmid isolation time were established, revealing the diversity of the plasmid pangenome and its evolutionary patterns.Results:The homologous genes, homologous drug resistance genes, homologous virulence genes, and replicons of the plasmids carried by hvKP comprised of 12 906, 149, 107 and 89 types, respectively. The fitting curves for the number of new genes, new drug resistance genes and new replicons increased with the increase of plasmids in an open state, while the curve for novel virulence genes was in a closed state. A obvious increase in new drug resistance genes was observed during 2018-2019. Among the newly added drug resistance genes during 2021-2023, beside those conferring aminoglycoside resistance, they were mainly new subtypes conferring carbapenem resistance.Conclusions:The pangenome of plasmids carried by hvKP exhibited high diversity, with the plasmid pan genes, pan drug resistance genes, and pan replicon types gradually expanding, while the pan virulence genes remains stable. The increase in novel drug resistance genes in specific years and the emergence of new carbapenem-resistant gene subtypes during 2021-2023 suggested the need for strengthened drug resistance surveillance and prevention efforts, with particular attention to carbapenem resistance.

Objective To investigate the relationship between the public's risk perception,behavioral patterns,and emotional responses during major public health emergencies,and to analyze the interaction mech-anisms.Methods Both paper and electronic questionnaires were used to collect data on sociodemographic characteristics,lifestyle habits,and psychological status from residents of different occupations and age groups living in Urumqi from January 2021 to December 2022.Pearson correlation analysis and mediation effect anal-ysis were then conducted.Results People with different sociological characteristics exhibited varying risk per-ceptions,behavioral patterns,and emotional responses during public health emergencies.Risk perception was positively correlated with emotional responses(r=0.190,P<0.001);anxiety was positively correlated with emotional responses(r=0.585,P<0.001)and risk perception(r=0.176,P<0.001);depression was posi-tively correlated with emotional responses(r=0.540,P<0.001)and anxiety(r=0.732,P<0.001).Behav-ioral patterns were negatively correlated with risk information(r=-0.329,P<0.001),emotional responses(r=-0.091,P<0.001),risk perception(r=-0.030,P=0.049);anxiety was negatively correlated with risk information(r=-0.046,P=0.003)and behavioral patterns(r=-0.065,P<0.001).Depression was also negatively correlated with risk perception(r=-0.148,P<0.001),and behavioral patterns(r=-0.092,P<0.001).Conclusion People with different sociological characteristics exhibit differences in risk perception,behavioral patterns,and emotional responses during public health emergencies,and there are com-plex correlations among these factors.Especially in emergencies such as pandemics,risk perception significant-ly influences individual behavioral patterns and mental health,with emotional responses playing an important mediating role.

Objective To investigate the correlation and lag effect between atmospheric particulate matter and the risk of hospitalization for chronic kidney disease(CKD).Methods The daily hospitalization data for CKD in 9 hospitals in Urumqi from Jan.1,2019,to Dec.31,2020,and the air pollution and meteorological data during the same period were collected.The relationship between PM2.5 and PM10 concentrations and CKD incidence was analyzed after controlling for long-term trends,meteorological factors,and potential confounding factors such as the"day of the week effect"by using the generalized additive model(GAM).The effects of single-day lag of 0-7 d(lag0-lag7)and cumulative lag of 0-7 d(lag01-lag07)were analyzed,and subgroup analyses were conducted for gender,age,and season.On the basis of the single pollutant model,other pollutants were included(at most 2 pollutants were included at a time),and a double pollutant model was constructed to evaluate the stability of the model.Results For every 10 μg/m3 increase in PM2.5 concentration,the highest risk of CKD hospitalization occured when lagged alone at lag2(relative risk[RR]=1.014,95％confidence interval[CI]1.006-1.023)and lagged cumulatively at lag04(RR=1.018,95％CI 1.007-1.029).For every 10 μg/m3 increase in PM10 concentration,the risk of CKD hospitalization was highest when lagged alone at lag0 and lagged cumulatively at lag07(RR=1.012,95％CI 1.007-1.017;RR=1.024,95％CI 1.016-1.032).In gender stratification,for every 10 μg/m3 increase in PM2.5 concentration,the cumulative lag at lag04 indicated that males had the highest risk of CKD hospitalization(RR=1.023,95％CI 1.008-1.038);for every 10 μg/m3 increase in PM10 concentration,the highest risk of CKD hospitalization was observed in males when lagged alone at lag0(RR=1.013,95％CI 1.006-1.020),and in females when lagged alone at lag1(RR=1.013,95％CI 1.006-1.020).In age stratification,for every 10 μg/m3 increase in PM2.5 concentration,the risk of CKD hospitalization was highest in people 65 years old with single-day lag at lag3 and cumulative lag at lag04(RR=1.016,95％CI 1.007-1.026;RR=1.022,95％CI 1.010-1.035);for every 10 μg/m3 increase in PM10 concentration,the cumulative lag at lag07 indicated that individuals aged＜65 years old and ≥65 years old had the highest risk of CKD hospitalization(RR=1.027,95％CI 1.017-1.037;RR=1.015,95％CI 1.001-1.028).In seasonal stratification,for every 10 μg/m3 increase in PM2.5 concentration during the cold season,the risk of CKD hospitalization was highest when lagged alone at lag3 and lagged cumulatively at lag07(RR=1.020,95％CI 1.011-1.029;RR=1.025,95％CI 1.011-1.038).For every 10 μg/m3 increase in PM10 concentration during the cold season,the risk of CKD hospitalization was highest when lagged alone at lag2(RR=1.013,95％CI 1.007-1.019).For every 10 μg/m3 increase in PM10 concentration during the warm season,the risk of CKD hospitalization was highest when lagged alone at lag7(RR=1.015,95％CI 1.006-1.024).In the dual pollutant model,the effects of PM2.5 adjusting PM10,SO2,O3 and CO,and PM10 adjusting NO2,SO2,O3,and CO on the risk of CKD hospitalization were still significant(P＜0.05).Conclusion The increase in atmospheric particulate matter concentrations of PM2.5 and PM10 can lead to an increased risk of CKD,and there is a lag effect.Men,people under the age of 65 years old,and those in cold seasons(heating periods)are more sensitive to exposure to PM2.5 and PM10.

Objective:To determine the optimal number of clusters by joint use of the Elbow Method and Gap Statistic and to classify the scientific research performance of each clinical department in a tertiary general hospital by K-means cluster analysis and analyze the weak points of scientific research in each type of department, and provide targeted measures to enhance the scientific research capability of the department.Methods:Based on the scientific research performance evaluation system of clinical departments in established tertiary general hospitals, the scientific research data from 2017—2021 were substituted into the optimization system to generate quantitative scores, and the number of optimized clusters was derived through the Elbow method and the Gap Statistic algorithm, and the K-means algorithm was applied to achieve departmental hierarchical clustering.Results:The 45 clinical departments were clustered into 4 categories, and the mean of the total research performance scores of all departments was 23.118, with the highest mean score for the management system and the lowest for the research organization platform. Except for the indicator of books of publications, the remaining 15 secondary indicators had good differentiation ( P<0.05). Conclusions:The combined use of the Elbow method and the Gap Statistic algorithm balances computational efficiency with statistical rigor and strengthens the scientific explanatory power of the clustering results. K-means cluster analysis effectively divides the types of departments. It provides a certain reference basis for identifying the strengths and shortcomings of scientific research development in the department, optimizing the allocation of scientific research resources, adjusting the focus of assessment and formulating the development strategy of the discipline.

Objective To determine the material basis of the antioxidant activity of Mori Folium by examining the spec-trum-effect relationship.Methods High-performance liquid chromatography(HPLC)was utilized to establish the fingerprints of Mori Folium.The antioxidant activity of Mori Folium was assessed using the 1,1-diphenyl-2-picrylhydrazyl(DPPH)radical scavenging assay and other related indicators.The spectrum-effect relationship of antioxidation was analyzed using gray relational analysis,bivariate correlation analysis,and partial least squares regression analysis.Molecular docking techniques were employed to predict potential interaction targets.Results HPLC fingerprints for 13 batches of Mori Folium were established,and thirteen common peaks were marked,with similarities ranging from 0.932 to 0.998.Nine common peaks were identified by comparing them to reference substances.Differences in antioxidant activity were observed among the different batches of Mori Folium.Based on the analysis of the spectrum-effect relationship,chemical components such as chlorogenic acid,cryptochlorogenic acid,rutin,and iso-chlorogenic acid B were found to contribute significantly to the antioxidant activity.These components may exert their effects by binding to several antioxidant protein targets,such as XOD,NO-1,and PPAR-α.This implies that Mori Folium might exert its an-tioxidant action via multiple components and targets.Conclusions By integrating the fingerprint and antioxidant activity of Mori Folium,the contributions of individual components to its antioxidant activity were determined.This study provides an experi-mental basis for elucidating the substances responsible for the antioxidant activity of Mori Folium and for establishing quality con-trol methods.

Objective:Serum tumor markers(STMs)are important indicators associated with metastasis in patients with breast cancer(BC).This study focuses on predicting the risk of axillary lymph node metastasis(ALNM)in patients with invasive BC in Xinjiang by combining STMs and clinicopathological factors.Methods:Data from 3,360 patients diagnosed with invasive BC and treated at the Affiliated Cancer Hospital of Xinjiang Medical University between 2015 and 2019 were analyzed,focusing on 11 relevant demographic and clinical factors.Five ma-chine learning(ML)algorithms were used to develop predictive models for ALNM.Their performance was compared using metrics such as area under the curve(AUC),accuracy,Kappa value,and Brier score.The best-performing model was then compared with a nomogram based on Logistic regression(LR)to determine the final model.Shapley additive explanations(SHAP)values were used to rank the importance of factors contributing to ALNM.Results:Of the 3,266 patients studied,1,368(41.89%)developed ALNM.Among the five constructed ML models,eXtreme gradient boosting(XGBoost)demonstrated the best predictive performance with an AUC of 0.768,an accuracy of 0.735,and a Kappa value of 0.450.In both the training and validation sets,the XGBoost model outperformed the LR-based nomogram(training set AUC and Brier score:0.822(0.810～0.820)vs.0.742(0.721～0.763),0.170(0.163～0.177)vs.0.197(0.189～0.204);validation set AUC and Brier score:0.769(0.740～0.770)vs.0.747(0.716～0.779),0.190(0.178～0.202)vs.0.195(0.189～0.204)).Therefore,XGBoost was selec-ted as the final predictive model.SHAP analysis identified T stage,age,molecular subtype,and CEA level as the four most influential factors for ALNM prediction.Conclusions:The XGBoost model effectively predicts the risk of ALNM in patients with invasive BC based on STMs and clinicopathological features,outperforming traditional nomograms.SHAP analysis highlighted T stage as the most critical factor influencing ALNM.

BACKGROUND:Synovitis is involved in all stages of osteoarthritis and is a key factor contributing to the development of osteoarthritis.Studies have shown that circular RNA(circRNA)plays an important role in the proliferation,apoptosis and extracellular matrix degradation of synovial cells and chondrocytes.OBJECTIVE:To observe the effects of circRNA SEC24A on the interleukin-1β-induced proliferation,apoptosis,and expression of inflammatory factors in human synovial fibroblasts.METHODS:Human synovial fibroblasts were divided into four groups,including control group,interleukin-1β group,empty vector group,and sh-circSEC24A group.Except for the control group,the other three groups were induced with 10 ng/mL interleukin-1β for 24 hours to establish inflammatory cell models;the empty vector group and sh-circSEC24A group were infected with empty vector virus and lentiviral vector knocking down circSEC24A.CCK-8 assay was used to detect cell proliferation.Flow cytometry was used to detect cell apoptosis.ELISA was used to detect the levels of matrix metalloproteinase-9,matrix metalloproteinase-13,interleukin-6,and tumor necrosis factor-α in cell supernatant.Western blot assay was used to detect the relative expression levels of Bax,Bcl-2,matrix metalloproteinase-9,matrix metalloproteinase-13,casepase3,cleaved-casepase3,casepase8,and cleaved-casepase8 proteins in cells.RESULTS AND CONCLUSION:(1)qRT-PCR results showed that compared with the normal group,the expression of circSEC24A in human synovial fibroblasts induced by interleukin 1β was significantly up-regulated.(2)The absorbance value of cells in the sh-circSEC24A group detected by CCK-8 assay was significantly higher than that of interleukin 1β group and empty vector group(P＜0.05).The apoptosis rate of sh-circSEC24A group detected by flow cytometry was significantly lower than that of interleukin 1β group and empty vector group(P＜0.05).(3)The levels of tumor necrosis factor α and interleukin 6 in the supernatant of human synovial fibroblasts in the sh-circSEC24A group detected by ELISA were significantly lower than those in the interleukin 1β group and the empty vector group(P＜0.01,P＜0.001).(4)Western blot assay results showed that compared with the interleukin 1β group and the empty vector group,the expression of the pro-apoptotic factor Bax protein in the sh-circSEC24A group significantly decreased,and the expression of the anti-apoptotic factor Bcl-2 protein increased significantly(P＜0.05);apoptosis and related activating factors cleaved-casepase3 and cleaved-casepase8 protein expressions were both reduced(P＜0.05).(5)ELISA and western blot assay results showed that compared with the interleukin 1β group and the empty vector group,the sh-circSEC24A group had lower levels of matrix metalloproteinase 9 and matrix metalloproteinase 13 protein(P＜0.05).These findings indicated that the expression of circSEC24A was abnormally increased in human synovial fibroblasts induced by interleukin 1β.Knocking down circSEC24A expression could promote the proliferation of human synovial fibroblasts and inhibit apoptosis,inflammatory factor release,and extracellular matrix degradation,suggesting that circSEC24A may be an important intervention target for early osteoarthritis.

To understand the epidemiological and clinical features of patients with non-tuberculous mycobacteria(NTM)lung disease in a hospital for infectious diseases in Xinjiang,and to provide basis for prevention and control of NTM in Xinjiang.The strain distribution,epidemiological features and clinical features of 78 patients with NTM lung disease in the Sixth People′s Hospital of Xinji-ang Uygur Autonomous Region were analysed from June 2021 to June 2024,and a comparative analysis of the clinical features of 156 patients with pulmonary tuberculosis in this hospital during the same period was performed.Among 78 patients with NTM lung disease,the bacteria identified by molecular biology accounted for the top three cases:24 cases of Mycobacterium avium intracellulare complex,16 cases of Mycobacterium Kansaii and 11 cases of Mycobacterium Gordonae.There was no statistically significant difference in gender(χ2=0.009),age(χ2=2.670),smoking history(χ2=0.064),and BMI(χ2=0.896)between the NTM lung disease group and the pulmonary tuberculosis group(P>0.05).However,there were statistically significant differences in the combined bronchiectasis(χ2=19.068),immune-related indicators CD4(Z=-3.498)and CD3(Z=-3.187),and chest CT cavities on imaging(χ2=9.308)be-tween the two groups(P<0.05).There was no statistically significant difference in clinical symptoms such as cough(χ2=0.188)and expectoration(χ2=0.044)between the two groups(P>0.05).The common underlying diseases of NTM lung disease were diabetes mellitus(23.08%),hypertension(21.79%),bronchiectasis(20.51%)and others.The common clinical symptoms of NTM lung disease include cough,sputum,fatigue,poor appetite and others.The common manifestations of chest CT in NTM lung disease were Patchy cord shadows(62.82%),nodule(51.28%),pleural thickening(46.15%),calcification(41.03%)and others.Multivariate Logistic regression analysis showed that bronchiectasis(OR=8.019)is risk factor for NTM lung disease.The dominant strains of NTM in this study were My-cobacterium avium intracellulare complex,Mycobacterium kansasii and Mycobacterium Gordonae.NTM lung disease and pulmonarytuber-culosis have similar clinical manifestations and are difficult to distinguish,especially for patients with bronchiectasis,it is necessary to actively investigate NTM lung disease,provide basis for early diagnosis and treatment of NTM lung disease,and gradually form a system-atic and standardized NTM lung disease diagnosis and treatment system according to local conditions.