Objective To investigate the exposure-response relationships and lag effects between air pollutants (PM_2.5, PM₁₀, O₃, and NO₂) and mortality in Jiading District, Shanghai, and to provide a scientific basis for the formulation of environmental health policies. Methods Using an individual-level time-stratified case-crossover design, conditional logistic regression models in conjunction with a distributed lag nonlinear model (DLNM) were employed to analyze the exposure-response relationship and temporal lag patterns of ambient air pollution on resident mortality in Jiading District (1994–2024). Results A total of 59 048 death cases were collected, including 18,701 deaths from cardiovascular diseases and 11 731 deaths from respiratory diseases. PM_2.5 and NO₂ had a significant impact on all-cause mortality, cardiovascular disease mortality, and respiratory disease mortality, with the most significant effects observed within a lag of 0–3 days. PM₁₀ also had some impact on these three types of mortality, but its effect was generally weaker than that of PM_2.5 and NO₂. The exposure-response curves showed that the risk of death increased rapidly with increasing concentrations of PM_2.5 and PM₁₀, while the effect of NO₂ plateaued at higher levels. No significant differences were found across age or gender subgroups. Conclusion Short-term exposure to PM_2.5, PM₁₀, and NO₂ significantly increases all-cause mortality risk in Jiading District, with effects persisting up to 7 days, highlighting the need for enhanced air pollution control measures, particularly targeting fine particulate matter.

ObjectiveTo investigate the epidemiological and clinical characteristics of psittacosis cases in Fuyang District of Hangzhou, Zhejiang Province, and to provide evidence for clinical diagnosis, treatment, and prevention and control of this disease. MethodsEpidemiological investigation data and clinical records of psittacosis cases residing in Fuyang District of Hangzhou from September 2020 to February 2025 were collected. Descriptive epidemiological methods were applied to analyze temporal-spatial-demographic distribution characteristics, exposure history, clinical manifestations, diagnosis, treatment and laboratory findings. Comprehensive analyses were further conducted incorporating environmental surveillance and case follow-up data. ResultsAmong the 16 psittacosis cases, the male-to-female ratio was 1∶1, with an incidence rate of 0.57/100 000 for both males and females. The mean age was (59.88±10.66) years old, and the highest incidence rates were in the 70‒79 years and 60‒69 years age groups, with an incidence rate of 1.41/100 000 and 1.30/100 000, respectively. Fourteen cases (87.50%) had a history of avian exposure. The predominant clinical symptoms included fever (15 cases, 93.75%), cough (11 cases, 68.75%), expectoration (9 cases, 56.25%), and fear of cold (8 cases, 50.00%). All cases showed elevated levels of C-reactive protein (CRP), and the results of chest computed tomography (CT) indicated pneumonia in every case. Neutrophil percentage was elevated in 87.50% (14/16) of cases, while lymphocyte percentage was reduced in 93.75% (15/16) of cases. The median time from onset to first medical consultation was 4.00 days, the median time from onset to confirmed diagnosis was 9.50 days, and the median time of hospitalization was 9.00 days. Compared with non-severe cases, the severe group had significantly higher neutrophil percentage, CRP levels, and longer intervals from onset to confirmed diagnosis, onset to first antibiotic administration, and duration of hospitalization. All cases recovered and were discharged, and more than 50% were treated with omadacycline following confirmed diagnosis. ConclusionMost psittacosis cases reported definitive avian exposure history in Fuyang District of Hangzhou. Early diagnosis and treatment are critical for preventing disease progression to severe stages.

ObjectiveTo investigate the value of predictive models established based on machine learning methods in predicting the risk of metabolic associated fatty liver disease （MAFLD）， and to analyze its key risk factors. MethodsA retrospective analysis was performed for the 50 variables of 2 168 healthy individuals who underwent physical examination in Department of Health Assessment， Xiyuan Hospital， China Academy of Chinese Medical Sciences， from January 2021 to December 2024， including body composition， past history， and laboratory tests， and according to whether they were diagnosed with MAFLD or not， they were divided into MAFLD group with 265 individuals and non-MAFLD group with 1 903 individuals. The Mann-Whitney U test was used for comparison of continuous data between two groups， and the chi-square test was used for comparison of categorical data between two groups. Randomly split the research data into a training set and a validation set in a 70% to 30% ratio. Predictive factors were screened from the training set data using univariate analysis， LASSO regression， and multivariate Logistic regression analysis. Predictive models were then constructed using seven machine learning methods： Logistic regression， decision tree， random forest （RF）， eXtreme gradient boosting， light gradient boosting machine， support vector machine， and artificial neural network. Model performance was evaluated by plotting receiver operating characteristic curve for the validation set and calculating the area under the curve （AUC）， sensitivity， specificity， and Youden index for each model. Furthermore， the SHapley Additive exPlanation （SHAP） method was used to analyze the contribution of variables in the optimal model. ResultsThe prevalence rate of MAFLD among the 2 168 subjects was 12.22% （265/2 168）. Smoking， diastolic blood pressure， phase angle， visceral fat area， muscle fat ratio， waist-to-hip ratio， aspartate aminotransferase， non-HDL-C/HDL-C ratio， triglyceride-glucose index， and gallstones were independent risk factors for MAFLD （all P<0.05）. The seven predictive models of support vector machine， eXtreme gradient boosting， decision tree， light gradient boosting machine， artificial neural network， RF， and Logistic regression had an AUC of 0.738， 0.754， 0.757， 0.786， 0.795， 0.796， and 0.815， respectively， in the validation set， among which the RF model had the best discriminatory ability （AUC=0.796， 95% confidence interval： 0.754 — 0.839）， with a sensitivity of 81.01%， a specificity of 63.16%， and a Youden index of 44.17%. The SHAP analysis showed that visceral fat area， waist-to-hip ratio， and diastolic blood pressure were the top three predictive factors in terms of importance. ConclusionThe RF model， constructed based on body composition and clinical indicators， has a good performance in predicting the risk of MAFLD， and its interpretability can help to identify high-risk individuals in the early stage in clinical practice.

ObjectiveThis study aims to improve the management efficiency of zebrafish strains and zebrafish facilities and to transform the traditional management model that relies on manual labor. The goal is to promote a comprehensive transition from traditional manual operation to standardized, digitalized, automated, and refined management, thereby significantly improving management quality and work efficiency. MethodsThe research group independently developed the "Zebrafish Facility and Zebrafish Strain Automation Management System V1.0" (Software Copyright Registration No. 2021SR0236837), which comprehensively recorded all operational data of the zebrafish facilities and completed data on zebrafish strains. By combining in-depth mining of these data with management experience, management regulations were transformed into executable system instruction sets, and a full-process automated closed-loop management framework of "Monitoring–Analysis–Early Warning–Task Assignment–Execution–Recording" was established. ResultsThis management system has been operating stably for 5 years and has been successfully applied in 3 zebrafish facilities, cumulatively supporting 78 researchers and efficiently managing 1 108 plasmids and 1 123 zebrafish strains, among which 291 strains has been incorporated into zebrafish sperm bank management. A Likert scale survey of 28 core users covering 14 evaluation dimensions across 4 major categories showed average scores of 4.46–4.89, all far above the midpoint (3 points) of the scale, indicating that users gave high evaluations to all dimensions of the system. Meanwhile, the standard deviations of most dimensions were low (s ≤ 0.44), reflecting good consistency in user evaluations. ConclusionThis study integrates information technology, big data analysis, and modern management concepts to achieve a virtuous cycle of "data collection–analysis and execution–system optimization" in zebrafish facility management. It significantly improves management efficiency and refinement and promotes the development of management models toward automation.

Microtubules have long been regarded as structural scaffolds that maintain cell shape, mediate intracellular transport, and drive cell division. Over the past two decades, this view has shifted, with accumulating evidence demonstrating that microtubules are dynamic and active participants in cellular signaling networks, regulating key physiological processes such as cell survival and differentiation through multiple mechanisms. Recently, the team led by Michel O. Steinmetz reported in Cell the first structural elucidation of how microtubules regulate immune responses by “sequestering and releasing” the guanine nucleotide exchange factor GEF-H1 protein. This work addresses a central question in microtubule-mediated signal transduction, provides a conceptual and methodological framework for basic research, and offers new targets and strategies for cancer immunotherapy and targeted drug development.

AIM To sequence the chloroplast genome of Artemisia vestita Wall.ex Bess.METHODS Based on ethnobotanical surveys,sample collection and original plant identification were carried out.The chloroplast genome was sequenced using the Illumina platform,followed by assembly and annotation.A comprehensive comparative analysis was conducted with six Artemisia species.The maximum likelihood(ML)phylogenetic tree was constructed based on the chloroplast genome sequences of A.vestita and 32 other Asteraceae species,with Leptocodon hirsutus D.Y.Hong of Campanulaceae as outgroup.RESULTS The chloroplast genome of A.vestita was 151 204 bp in length,including a small single-copy region of 18 331 bp,a large single-copy region of 82 949 bp,and inverted repeat regions of 24 962 bp,with a total GC content of 37.45％.134 genes were annotated,including 89 protein-coding genes,8 ribosomal RNA genes,and 37 transfer RNA genes.A total of 67 SSRs and 44 LSRs were detected in the chloroplast genome.Comparative analysis with closely related species of Artemisia revealed 3 highly variable genes(clpP,rpl36,ycf1)and 6 highly variable intergenic regions(trnK-UUU-matK,rps18-rpl20,rpl36-infA,rpl14-rpl16,rpl16-rpl3 and trnL-UAG-ccsA),which could serve as candidate DNA barcodes for Artemisia identification.Phylogenetic analysis showed that Artemisia formed a highly supportive monophyletic group,with A.vestita and A.gmelinii Web.ex Stechm.being closely related.CONCLUSION This study may provide fundamental data for phylogenetic analysis of Artemisia,taxonomic identification and DNA barcoding construction of Tibetan herb.

OBJECTIVE To explore the clinical characteristics of the nontuberculous Mycobacteria pulmonary dis-ease(NTMPD)patients with previous pulmonary tuberculosis(PPTB)and analyze the clinical difference from the recurrence of pulmonary tuberculosis.METHODS By means of retrospective survey,the patients who were diag-nosed with NTMPD and recurrent pulmonary tuberculosis in Wuhan Pulmonary Hospital from Mar.2021 to Oct.2023 were recruited as the research subjects,a total of 395 patients with NTMPD were enrolled in the study and were divided into the PPTB-NTMPD group with 92 cases and the NPPTB-NTMPD group with 303 cases according to the history of PPTB.The baseline data,clinical symptoms,imaging findings,underlying diseases,pulmonary diseases,and species of nontuberculous Mycobacteria(NTM)were observed and compared.Totally 92 patients with recurrent pulmonary tuberculosis were randomly screened and assigned as the recurrent pulmonary tuberculo-sis group in a 1:1 ratio by matching the PPTB-NTMPD group with the gender and age.The major clinical charac-teristics were compared between the two groups.The 92 patients with PPTB-NTMPD were divided into the 1-10 years group with 40 cases,the 10-30 years group with 37 cases,and the more than 30 years group with 15 cases according to the interval between the initial diagnosis of pulmonary tuberculosis and the diagnosis of NTMPD.The major clinical characteristics were compared among the groups.RESULTS The age was(64.21±10.71)years old in the PPTB-NTMPD group,(60.26±11.83)years old in the NPPTB-NTMPD group(t=3.020,P=0.003).The proportion of patients with body mass index less than 18.5 kg/m2 was 59.78％in the PPTB-NTMPD group,41.25％in the NPPTB-NTMPD group(x2=6.155,P=0.013);the proportion of patients with cough was 77.17％in the PPTB-NTMPD group,65.68％in the NPPTB-NTMPD group(x2=4.313,P=0.038);the inci-dence of cavitary shadow was 50.00％in the PPTB-NTMPD group,35.31％in the NPPTB-NTMPD group(x2=6.414,P=0.011);the incidence of emphysema and pulmonary bullae was 29.35％in the PPTB-NTMPD group,12.87％in the NPPTB-NTMPD group(x2=13.766,P＜0.001);the incidence of chronic obstructive pulmonary disease(COPD)was 22.83％in the PPTB-NTMPD group,14.19％in the NPPTB-NTMPD group(x2=3.875,P=0.049);the incidence of damaged lung was 9.78％in the PPTB-NTMPD group,2.97％in the NPPTB-NT-MPD group(x2=7.530,P=0.014);there were significant differences.Mycobacterium intracellulare and Myco-bacterium abscessus were the predominant species of NTM in both the PPTB-NTMPD group and the NPPTB-NT-MPD group,there was no significant difference in the distribution of NTM species between the two groups of pa-tients.The incidence of patch shadow of the PPTB-NTMPD group was lower than that of the recurrent pulmonary tuberculosis group(P＜0.05),the incidence of bronchiectatic shadow of the PPTB-NTMPD group was higher than that of the recurrent pulmonary tuberculosis group(P＜0.05).There were significant differences in the age,incidence of pleural thickening and incidence of COPD among the patients with different time intervals between ini-tial diagnosis of pulmonary tuberculosis and the diagnosis of NTMPD in the PPTB-NTMPD group(P＜0.05).CONCLUSIONS The previous pulmonary tuberculosis mainly affect the body mass index less than 18.5 kg/m2 and the post-tuberculosis pulmonary diseases such as cough,pulmonary cavity,emphysema,pulmonary bullae,COPD and damaged lung of the NTMPD patients.The NTMPD patients with previous pulmonary tuberculosis are more likely to have bronchiectasia than the patients with recurrent tuberculosis.It is necessary for the clinicians to attach great importance.

OBJECTIVE To observe the effect of Shixiang plaster on promoting the wound healing of diabetic foot ulcer.METHODS Totally 50 male SPF grade SD rats were prepared to establish the diabetic models by feeding with high glucose and high fat forage and intraperitoneal injection of streptozotocin,the rats models that were es-tablished successfully were randomly divided into the model group,the Shixiang plaster group and the Kangfuxin solution group.The models of diabetic ulcers were established.The Shixiang plaster group was treated with exter-nal Shixiang plaster,the Kangfuxin solution group was given external Kangfuxin solution,and the model group was treated with coverage with sterile gauze.The wound healing status of the rats was observed,the wound tis-sues were collected for bacterial culture and hematoxylin-eosin(HE)staining after drug administration for 14 and 28 days,respectively.The expression levels of nuclear factor-red cell-2-related factor 2(Nrf-2),heme oxygenase-1(HO-1),tumor necrosis factor-α(TNF-α),interleukin-6(IL-6)and vascular endothelial growth factor(VEGF)were detected by immunohistochemistry(IHC),the expression levels of Nrf-2 and HO-1 were detected with the use of Western Blot,and the levels of serum malondialdehyde(MDA),superoxide dismutase(SOD)and reactive oxygen species(ROS)were detected by enzyme-linked immunosorbent assay(ELISA).RESULTS After the drug administration for 14 and 28 days,the wound healing rates of the Shixiang plaster group were(62.15±3.82)％and(81.68±3.83)％,respectively,higher than(47.14±2.80)％and(69.96±6.49)％of the Kangfuxin solu-tion group and(29.14±9.52)％and(57.91±6.63)％of the model group,and there were significant differences(F=21.716,12.626,P=0.002,0.007).The bacterial colony counts of the Shixiang plaster group were less than those of the Kangfuxin solution group and the model group after the drug administration for 14 and 28 days(P＜0.05).The result of HE staining showed that the Shixiang plaster group had a better wound healing.The result of IHC indicated that the expression levels of Nrf-2,HO-1 and VEGF of the Kangfuxin solution group and the Shix-iang plaster group were up-regulated after the drug administration for 28 days,while the expression levels of TNF-α and IL-6 were down-regulated.The expression levels of Nrf-2 and HO-1 proteins of the Shixiang plaster group were higher than those of the Kangfuxin solution group and the model group after the drug administration for 14 and 28 days,the levels of serum MDA and ROS of the Shixiang plaster group were lower than those of the Kangfuxin solution group and the model group,and the serum SOD level of the Shixiang plaster group was higher than that of the model group(P＜0.05).CONCLUSIONS Shixiang plaster can effectively promote the wound heal-ing of the rats with diabetic foot ulcers and reduce the bacterial colony counts of wound surfaces.The mechanism may be associated with the alleviation of oxidative stress injury by mediating the Nrf-2/HO-1 signaling pathways,promotion of angiogenesis and inhibition of excessive inflammatory reactions.

Objective:To analyze the predictive role of WT1 expression levels pre-and early post-transplantation on relapse and overall survival(OS)in patients with acute myeloid leukemia(AML)undergoing allogeneic hematopoietic stem cell transplantation(allo-HSCT)during their first complete remission(CR1).Methods:A retrospective analysis was conducted on the clinical data of 107 adult AML patients who underwent allo-HSCT during their CR1 at our center between May 2012 and December 2021.The predictive role of bone marrow WT1 expression levels before transplantation and at 3 and 6 months post-transplantation on relapse and OS was explored in combination with relevant clinical factors.Results:The median follow-up time for the 107 patients was 70(range:11-117)months.Among the patients,15 cases died.Kaplan-Meier survial analysis showed that the 3-year overall survival(OS)rate was 85.0％.20 patients experienced relapse,with a median time to relapse of 8(range:0.5-44)months and a l-year cumulative relapse rate of 13.1％.The overall median value of WT1 before transplantation,3 months after transplantation,and 6 months after transplantation was 0.26％(range:0％-23.64％),with an upper quartile value of 0.74％.No statistically significant differences in WT1 expression levels were observed among the pre-transplantation,3-month post-transplantation,and 6-month post-transplantation time points(P=0.227).Univariate analysis showed that patients with WT1 levels＞0.74％at 3 months post-transplantation had a higher 1-year relapse rate(P=0.029)and lower 3-year OS rate(P＜0.001)compared to patients with WT1 levels ≤0.74％.Other significant factors affecting 1-year relapse included stem cell source(P=0.041)and chronic graft-versus-host disease(cGVHD)(P=0.013).For 3-year OS,additional influencing factors were genetic high risk(P=0.048)and stem cell source(P=0.016).Multivariate analysis revealed that WT1 level＞0.74％at 3 months post-transplantation had a trend to affect 1-year relapse rate(HR=3.309,95％CI:0.958-11.431,P=0.058),while the absence of cGVHD was an independent risk factor for 1-year relapse(HR=3.473,95％CI:0.749-16.100,P=0.037).Only WT1 level＞0.74％at 3 months post-transplantation was an independent risk factor for 3-year OS(HR=6.886,95％CI:2.402-19.738,P＜0.001).Conclusion:High WT1 expression level at 3 months post-transplantation in AML patients undergoing allo-HSCT during CR1 affects the 1-year relapse rate and 3-year OS,and is an independent risk factor affecting 3-year OS.These findings suggest that dynamic monitoring of WT1 expression levels has certain value in prognostic assessment of AML patients who received allo-HSCT during CR1.

Objective:To investigate the effects of different BMI classifications on rehabilitation outcomes and complications after total knee arthroplasty(TKA).Methods:Clinical data of 88 patients who underwent TKA in our hospital from January 2022 to June 2024 were retrospectively analyzed.According to the World Health Organization(WHO)BMI standards,patients were divided into normal weight group(18.5 ≤BMI＜24.9 kg/m2),overweight group(25.0≤BMI＜29.9 kg/m2),mild obesity group(30.0≤BMI＜34.9 kg/m2),and severe obesity group(BMI≥35.0 kg/m2).Baseline data,operation time,intraoperative blood loss,hospital stay,postoperative knee function scores,pain scores,range of motion(ROM),and incidence of complications were compared among groups.Results:With the increase of BMI,operation time was prolonged,intraoperative blood loss increased,and hospital stay extended,with statistically significant differences(P＜0.05).At 3-month and 6-month follow-ups,Knee Society Score(KSS)and Western Ontario and McMaster Universities Osteoarthritis Index(WOMAC)showed that functional recovery decreased with increasing BMI(P＜0.05).Regarding postoperative complications,the incidence of poor incision healing,infection,and deep vein thrombosis(DVT)in the obese groups was significantly higher than in the normal weight and overweight groups(P＜0.05).Conclusion:BMI is an important factor affecting rehabilitation outcomes and complications after TKA.Patients with high BMI have slower functional recovery and higher complication rates.For patients with high BMI,preoperative weight loss and individualized rehabilitation programs should be considered to improve TKA prognosis.