Objective To explore the effect and mechanism of Chir99021 on osteogenic differentiation of rat dental pulp stem cells. Methods Primary rat dental pulp stem cells were isolated from rat dental pulp and verified by fluorescence immunoassay. Different concentrations of Chir99021 were set, and the cell proliferation was detected by CCK⁃8 to select the optimal concentration. Osteogenic differentiation was detected by alizarin red staining. The expression of osteogenic differentiation related genes and proteins recombinant wingless type MMTV integration site famity member 1 (Wnt1), Wnt3a and Wnt3a β⁃expression of catenin, axis inhibition protein 2(Axin 2), dentin sialophosphoprotein(OCN) and dentin matrix acidic phosphoprotein 1(DMP1) was detected by Real⁃time PCR and Western blotting. Results The positive expression of dentin sialophosphoprotein (DSPP) and vimentin indicated that rat dental pulp stem cells were successfully isolated. After osteogenic induction of rat dental pulp stem cells, calcium deposits significantly increased with the addition of glycogen synthase kinase⁃3β(GSK⁃3β) inhibitor Chir99021, calcium deposits were significanted reduced. After osteogenic differentiation of rat dental pulp stem cells, the expression of Wnt1, Wnt3a, β⁃catenin, Axin2, OCN and DMP1 increased, while the expression of Wnt1, Axin2, OCN and DMP1 decreased with the addition of Chir99021. Conclusion Chir99021 can inhibit the osteogenic differentiation of rat dental pulp stem cells after 7 days of induction.

Objective To compare the categorical agreement between drug susceptibility testing(DST)and whole genome sequencing(WGS)for the detection of drug resistance in Mycobacterium tuberculosis(MTB),and to explore the characteristics of WGS for MTB drug resistance detection.Methods A total of 71 MTB clinical isolates retained in West China Hospital of Sichuan University from 2018 to 2020 were included in this study.The MTB strains were tested for resistance to 14 anti-tuberculosis drugs,including Isoniazid(INH),Rifampicin(RIF),Rifabutin(RFB),Ethambutol(EMB),Streptomycin(SM),Moxifloxacin(MFX),Ofloxacin(OFX),Levofloxacin(LFX),Amikacin(AMK),Kanamycin(KAN),Capreomycin(CPM),Para-aminosalicylic acid(PAS),Ethionamide(ETH)and Clofazimine(CLO),using both DST(colorimetric redox indicator meth-od)and WGS methods.Kappa test was performed to analyze the results of drug resistance detection for both methods.Results Based on DST and WGS methods to detect anti-tuberculosis drug resistance in seventy-one MTB clinical isolates,the results showed that the agreement rate of RIF,RFB,SM,MFX,OFX and LFX ex-ceeded 90.00％,and the kappa values were all greater than 0.80,with near perfect agreement;The agreement rates of INH and EMB were 84.51％and 81.69％,and Kappa values were 0.68 and 0.54,respectively,with fair agreement.No more than two drug resistant MTB strains of AMK and KAN were detected by both meth-ods,and the resistance rate was less than 3.00％.The agreement rates of CPM,ETH,PAS,and CLO ranged from 61.97％to 91.55％,and the Kappa values were less than 0.40,with slight or fair agreement.Conclusion There are differences in the ability of WGS to detect resistance to various anti-tuberculosis drugs,and it is more effective in detecting resistance to six anti-tuberculosis drugs,including RIF,RFB,SM,MFX,OFX and LFX,while there are still certain differences in detecting resistance to other anti-tuberculosis drugs compared with DST.It is necessary to further clarify the detailed resistance mechanisms of relevant anti-tu-berculosis drugs and to explore the standardization of WGS for drug resistance detection.

ObjectiveTo compare the effects and differences of Yiqi Liangxue Shengji Formula （益气凉血生肌方） and atorvastatin on the repair of vascular injury in rats from the perspective of metabolomics. MethodsTwenty-four male SD rats were randomly divided into sham-surgery， model， traditional Chinese medicine （TCM）， and ator-vastatin groups， with 6 rats in each group. The rat model was established by balloon-induced abdominal aorta injury. Gavage was started on the day after surgery in all groups of rats. The sham and model groups were given with deio-nized water， TCM group received Yiqi Liangxue Shengji Formula 6 g/（kg·d）， and the atorvastatin group treated with atorvastatin suspension 2 mg/（kg·d） for 4 weeks. HE staining was used to observe the pathological morphology of the injured segment of the abdominal aorta； ELISA detection was used to test serum nitric oxide （NO） and C-reactive protein （CRP） levels； UPLC MS/MS technology was used for widely targeted metabolomics detection in serum， and multivariate statistical analysis was used to screen metabolic markers and pathways of two drugs； finally， compare serum levels of key metabolic markers of the above two medications in rats of each group. ResultsCompared with the sham-surgery group， the neointima significantly thickened， the level of NO decreased significantly and the level of CRP increased in serum of the model group （P＜0.01）； compared with the model group， the degree of arterial intimal hyperplasia in TCM group and atorvastatin group reduced， with an increase in NO levels and a decrease in CRP levels （P＜ 0.05 or P＜0.01）. The results of serum metabolomics showed that TCM group obtained 49 metabolic markers and 6 metabolic pathways， while atorvastatin group obtained 41 metabolic markers and 4 metabolic pathways. The two medications jointly regulated 38 metabolites. Glycerophospholipid metabolism and arginine-related metabolism were common metabolic pathways for both medications. Lysophosphatidylcholine （16∶1/0∶0） ［LPC （16∶1/ 0∶0）］， phosphatidylcholine （15∶0/15∶0） ［PC （15∶0/15∶0）］ were the key metabolites of glycerophospholipid metabolic pathway； ornithine， spermidine were the key metabolites of arginine-related metabolic pathway. The tricarboxylic acid cycle and glutathione metabolism were the unique metabolic pathways of Yiqi Liangxue Shengji Formula. Compared with the sham-surgery group， LPC （16∶1/0∶0）， ornithine， and spermidine levels elevated and PC （15∶0/15∶0） levels decreased in the model group （P＜0.05 or P＜0.01）. Compared with the model group， LPC （16∶1/0∶0）， ornithine， and spermidine levels decreased， and PC （15∶0/15∶0） levels increased in both TCM group and atorvastatin group （P＜0.05 or P＜0.01）. The degree of LPC reduction （16∶1/0∶0） was more significant in atorvastatin group compared with that in the TCM group （P＜0.01）. ConclusionsBoth sham-surgery and atorvastatin could regulate lipid metabolism and arginine-related metabolism， exert the characteristics of lipid-lowering， anti-inflammatory， improve arginine/NO bioavailability， and improve endothelial dysfunction. Atorvastatin showed more advantages in lipid-lowering and anti-inflammatory， while Yiqi Liangxue Shengji Formula has unique characteristics in regulating energy metabolism and improving oxidative stress.

Objective To analyze differential metabolites (DMs) in the urine of workers with occupational nickel exposure using non-targeted metabolomics, and to screen differential metabolic pathways. Methods A total of 30 nickel exposed workers were selected as the exposure group, and 30 administrative staff from the same factory were selected as the control group using the judgment sampling method. Urine samples of the individuals from the two groups were collected. The ultra-high performance liquid chromatography with quadrupole time-of-flight mass spectrometry and non-targeted metabolomics were used to detect and identify metabolites. The differential metabolic profiles were compared between workers of the two groups, and key differential metabolic pathways and potential biomarkers were screened. The association of DMs and urinary nickel level were evaluated by Spearman correlation coefficients. The sensitivity and specificity of biomarkers were assessed by receiver operating characteristic (ROC) curve analysis. Results A total of 418 metabolites were identified in the urine of worker in the exposure and control groups. The result of principal component analysis and orthogonal partial least squares analysis showed that there were 128 DMs in the urine of workers in the exposure group compared with the control group. These DMs were mainly enriched in glutathione metabolism, carnitine synthesis, and amino acid and nucleotide metabolism pathways, including glycine and serine metabolism. The result of correlation analysis and ROC curve analysis revealed that 4-methylcatechol, 4-vinylphenol sulfate, 2-hydroxyphenylacetone sulfate, 2-dodecylbenzenesulfonic acid, and decylbenzenesulfonic acid could be the potential biomarkers for nickel exposure (all area under the ROC curve >0.800). Conclusion There were significant differences in the urinary metabolic profiles of workers with occupational nickel exposure. The five DMs including 4-methylcatechol, 4-vinylphenol sulfate, 2-hydroxyphenylacetone sulfate, 2-dodecylbenzenesulfonic acid, and decylbenzenesulfonic acid. These DMs could be potential biomarkers of occupational nickel exposure.

It is proposed that the disease mechanism evolution of systemic lupus erythematosus can be summarized into four stages： initial invasion and latency， the pathogenesis remains concealing； latent toxin accumulation， the disease gradually becomes apparent； active toxin begins damaging， the disease manifests aggressively； damage resulting to deficiency， the disease course prolonged. Based on the stages of latent toxin evolution， the syndrome differentiation and treatment of systemic lupus erythematosus can be summarized as follows： during the initial latent stage， characterized by latent dampness and heat stagnation， modified Sanren Decoction （三仁汤） should be used； in the toxin outbreak stage， marked by intense heat toxin， modified Xijiao Dihuang Decoction （犀角地黄汤） combined with modified Qingwen Baidu Decoction （清瘟败毒饮） should be used； during the toxin damage stage， which presents as latent toxin damaging zang-fu organs， modified Qinghao Biejia Decoction （青蒿鳖甲汤） should be used； in the healthy qi deficiency stage， characterized by deficiencies of qi， blood， yin， and yang， modified Xieli Shiquan Ointment （燮理十全膏） should be used.

Objective: To explore the association between greenness surrounding school and aggression among primary school students, and to explore the potential mediating roles of social support, loneliness, particulate matter (PM2.5) and Nitrogen Dioxide (NO2) in this association, in order to provide a scientific reference for preventing and ameliorating aggressive behaviors of primary school students. Methods: The data was used from a survey of children and adolescents conducted in 2015. The Chinese version of the Buss-Warren Aggression Questionnaire was used to assess total and subtypes of aggression, and the mean values of normalized difference vegetation index (NDVI) of 100 m, 500 m, 1 000 m circular buffers surrounding school were used to indicate the participants greenness exposure. PM2.5 and NO2 datas were obtained from the China High Air Pollutants Dataset.Generalized Linear Mixed Models were used to assess the associations of greenness surrounding school with total and subtypes of aggression. Results: Per IQR increment of NDVI-500 m [OR(95%CI)=1.09(1.03-1.15)] and NDVI-1 000 m[OR(95%CI)=1.07(1.02-1.13)] were positively correlated with physical aggression among primary school children, and per IQR increment of NDVI-100 m [OR(95%CI)=0.94(0.90-0.99)], NDVI-500 m [OR(95%CI)=0.93(0.89-0.98)] and NDVI-1 000 m [OR(95%CI)=0.95(0.91-1.00)] were negatively associated with verbal aggression (P<0.05). Mediation analyses revealed that social support partially mediated the association between the NDVI-500 m and physical aggression (mediation ratio:18.0%) and verbal aggression (mediation ratio:-8.3%) among primary school students, and loneliness partially mediated the association between the NDVI-500 m and physical aggression and verbal aggression among elementary school students effects, with proportion mediated ratios of -10.0% and 21.0%, respectively (P<0.05). Conclusions Exposure to school surrounding greenness is likely to associated with physical aggression and verbal aggression in primary school students, and social support and loneliness may partially mediate these associations.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

Objective:To assess the impact of the construction of smoke-free government on the smoking and cessation behaviors of staff members.Methods:This was a retrospective cohort study. The study used stratified random cluster sampling method to select 144 government institutions from 31 Provinces (Autonomous Regions and Municipalities) and the Xinjiang Production and Construction Corps. The survey was carried out between October and November, 2023 by filling out questionnaires online among the insiders of the institutions and all the smoking staff members. The main indicators included the number of smokers before and after the construction of smoke-free governments and the measures for the construction of smoke-free governments. 144 questionnaires from insiders were recovered, all of which were included in the analysis; 1 776 questionnaires from smokers were recovered, including 1 716 valid questionnaires. The SAS 9.4 was used to perform χ 2 test and log-binomial regression analysis. Results:The percentage of smoking staff members decreased from 8.81% before the construction to 6.70% after the construction, and the difference was statistically significant ( χ 2=63.23, P<0.001). Comprehensive smoking ban in indoor public places ( OR=2.301, 95% CI: 1.433-3.694), punishment mechanism for smoking staff members ( OR=1.219, 95% CI: 1.124-1.322), smoking cessation competitions ( OR=1.865, 95% CI: 1.234-2.818) and reimbursement for or provision of smoking cessation medications ( OR=2.210, 95% CI: 1.002-4.874) were facilitators to motivate the smoking staff members to quit (all P<0.01). Numbers of smoking leaders ( OR=0.858, 95% CI: 0.807-0.913) and smoking years of smoking staff members ( OR=0.932, 95% CI: 0.918-0.946) negatively influenced the smoking staff members to quit (both P<0.001). Conclusions:The construction of smoke-free governments can effectively promote the smoking cessation behaviors of smoking staff members. In addition, comprehensive smoke-free policies, punishment mechanism for smoking staff members and activities such as smoking cessation competitions, and reimbursement for or provision of smoking cessation medications are important.

Objective To explore the impact of non-pharmaceutical interventions(NPIs)on the prevalence of respiratory pathogens in adults,and to understand the scientific value and long-term effect of NPIs.Methods A retrospective study was conducted to collect the clinical data and laboratory examination data of adult patients with respiratory tract infection in West China Hospital,Sichuan University from 2017 to 2023,and the patho-gen,population,season and other aspects were analyzed in different periods.The analysis period included 2017 to 2019(before the implementation of NPIs),2020 to 2022(during the implementation of NPIs),and January to December 2023(after the implementation of NPIs).Results A total of 33 068 adult patients with respira-tory tract infection were included.The overall prevalence of 8 adult respiratory pathogens from 2017 to 2019(26.95％)was higher than that from 2020 to 2022(8.70％),and the difference was statistically significant(P＜0.05).There were significant differences in the prevalence of pathogens among different genders,ages and seasons in the first,middle and last three periods of NPIs implementation(P＜0.05).Before the imple-mentation of NPIs,the seasonal peak of respiratory prevalence appeared from January to March each year.With the implementation of NPIs,the seasonal peak of respiratory prevalence appeared from January to March 2020(10.09％),October to December 2021(9.32％),July to September 2022(15.23％),respectively.After the implementation of NPIs,the seasonal peak of respiratory prevalence appeared from October to December 2023(21.20％).Among the 8 pathogens,the change of prevalence of influenza A virus H1N1(2009)was the most obvious,and the prevalence was 17.42％,0.00％and 6.99％before,during and after the implementation of NPIs,respectively.Conclusion Due to the influence of NPIs and other factors,the epidemic characteristics of respiratory pathogens have changed from 2017 to 2023.Attention to the emerging characteristics of patho-gen prevalence is important for the prevention,diagnosis and control of respiratory infectious diseases during public health emergencies.

A deep learning-based model for automatic diagnosis and classification of adolescent idiopathic scoliosis has been constructed.This model mainly included key points detection and Cobb angle measurement.748 full-length standing spinal X-ray images were retrospectively collected,of which 602 images were used to train and validate the model,and 146 images were used to test the model performance.The results showed that the model had good diagnostic and classification performance,with an accuracy of 94.5%.Compared with experts'measurement,94.9%of its Cobb angle measurement results were within the clinically acceptable range.The average absolute difference was 2.1°,and the consistency was also excellent(r2≥0.9552,P<0.001).In the future,this model could be applied clinically to improve doctors'diagnostic efficiency.