ObjectiveTo investigate and manage an imported dengue fever (DF) outbreak in Shanghai in 2024, to summarize the experience and lessons learned from the on-site management, and to provide a reference basis for future prevention and control of DF. MethodsEpidemiological investigation and case search were carried out for an imported DF outbreak in Shanghai, 2024. Real-time fluorescence polymerase chain reaction (RT-PCR) was used to detect dengue virus nucleic acid in the serum samples from cases. Meanwhile, emergency vector surveillance and mosquito control measures were carried out in the affected areas, and the effectiveness of the management was evaluated. ResultsAccording to the epidemiological investigation, it was confirmed that this epidemic was a family cluster of imported DF, with both cases infected in Thailand and developed symptoms successively after returning to Shanghai. Laboratory testing identified the pathogens as dengue virus serotype-3 (DENV-3). In the core and precautionary area, ultra-low-volume space spraying and residual spraying were combined to kill adult mosquitoes, and at the same time, comprehensive cleaning and elimination of mosquito breeding sites was carried out. After 2 weeks, the Breteau Index (BI) in the core area decreased from 20 to 5, and the mosquito net trap index decreased from 2 mosquitoes (net·hour)^-1 to 0.67 mosquitoes (net·hour)^-1. Continuous implementation of mosquito control measures kept the BI and net trap index below the safety thresholds [BI<5 and mosquito net trap index <2 mosquitoes (net·hour)^-1] both in the core and precautionary area. ConclusionEarly diagnosis and isolation of patients, combined with rapid suppression of the density of vector Aedes mosquitoes, are the key measures to prevent the transmission of imported DF cases.

Objective To explore the clinical factors influencing complete response in patients with locally advanced rectal cancer (LARC) after neoadjuvant chemoradiotherapy (nCRT). Methods Clinical data of LARC patients treated in the Department of Radiation Oncology at Beijing Shijitan Hospital between January 2013 and December 2024 were retrospectively collected. All patients received nCRT, after which surgery or a watch-and-wait approach was adopted based on treatment response. Univariable and multivariable logistic regression analyses were performed to identify prognostic factors influencing complete response. A clinical prediction model was constructed based on the multivariable analysis results, and its predictive performance was evaluated using the receiver operating characteristic curve. Results A total of 113 eligible patients were included. After nCRT, 19 patients (16.8%) achieved complete response, including 3 with clinical complete response and 16 with pathological complete response. Univariable analysis indicated that pretreatment clinical N stage, extramural venous invasion, carcinoembryonic antigen level, and neoadjuvant treatment regimen were associated with complete response after nCRT (P<0.05). Multivariable logistic regression analysis identified pretreatment extramural venous invasion, carcinoembryonic antigen level, and neoadjuvant treatment regimen as independent influencing factors for complete response (P<0.05). A prediction model incorporating these independent factors yielded an area under the receiver operating characteristic curve of 0.813 (95% confidence interval: 0.713-0.913), with a sensitivity of 89.5% and a specificity of 60.6%, demonstrating good predictive performance. Conclusion Pretreatment extramural venous invasion, carcinoembryonic antigen level, and neoadjuvant treatment regimen are independent factors influencing complete response after nCRT in LARC patients. The prediction model combining these factors may assist in evaluating treatment efficacy following nCRT in LARC patients.

Objective: To understand the mosquito infestation status in schools in Jing an District of Shanghai from 2019 to 2025, so as to provide a basis for mosquito control work in schools. Methods: Four schools of each school type (colleges and secondary specialized schools, primary and secondary schools, nurseries and kindergartens) were respectively selected from Jing an District as the survey sites by combination of stratified sampling and convenience sampling. Mosquito breeding sites surveys (including small stagnant water and medium and large static water) and adult mosquito monitoring were carried out in schools every August, from 2019 to 2025. The breeding sites surveys were investigated by visual inspection and spoon trapping methods, and the adult mosquito monitoring was investigated by the human baited trapping. Chi square test was used for inter group comparison. Results: A total of 970 small stagnant water were surveyed from 2019 to 2025, with the positive rate of 17.01% for mosquito breeding. The highest positive rate was in colleges and secondary specialized schools (25.07%). The top three positive breeding sites for mosquito were unused containers(27.46%), waste tires (16.67%), and bonsai and aquatic plants (16.52%). There were statistically significant differences in the positive rates for mosquito breeding among different years, school types and waterlogging types ( χ 2=122.70, 28.48 , 24.80, all P <0.01). A total of 640 medium and large static water were surveyed, and the positive rate for mosquito breeding was 7.34%. There was a statistically significant difference for the positive rate among different years ( χ 2= 50.23 , P <0.01). The highest positive rate for mosquito breeding was in colleges and secondary specialized schools (9.63%), and there was no statistically significant difference for the positive rate among different school types ( χ 2=4.41, P =0.11). From 2019 to 2025, a total of 390 mosquitoes were captured in the time period from 16:30 to 17:00, all of which were Aedes albopictus; the adult mosquito density in colleges and secondary specialized schools was the highest, being 2.38 mosquitoes/(0.5 h ·person). A total of 210 mosquitoes were captured in the time period from 19:00 to 19:30 during 2019-2025, among which Aedes albopictus accounted for 74.76% and Culex pipiens pallens accounted for 25.24%. The adult mosquito density in colleges and secondary specialized schools was the highest, being 1.15 mosquitoes/(0.5 h ·person). In colleges and secondary specialized schools, the area with the largest number of captured mosquitoes was around the teaching buildings and libraries(44.78%). In primary and secondary schools, as well as nurseries and kindergartens, the area with the largest number of captured mosquitoes was around the school gates and playgrounds( 49.44% , 53.60%), the difference in mosquito distribution in different regions among different types of schools was statistically significant ( χ 2=111.39, P <0.01). Conclusions The mosquito density in Jing an District schools is generally higher during summer. It is recommended that the school strengthen the management of mosquito breeding sites and the control of adult mosquitoes before the start of autumn semester, so as to prevent insect infestation of mosquitoes.

OBJECTIVE To construct a prediction model for tacrolimus trough concentration based on population pharmacokinetics （PPK） information and machine learning， evaluate its predictive performance in clinical therapeutic drug monitoring （TDM） data， and provide evidence-based support for individualized dose adjustment of tacrolimus after renal transplantation. METHODS A retrospective cohort study design was adopted， and consecutive TDM records of kidney transplant recipients treated in the First Affiliated Hospital of University of Science and Technology of China （Anhui Provincial Hospital） from January to June 2025 were included to construct the final analysis set. Based on 29 input variables including previous TDM concentration， previous concentration/dose （ C / D ） ratio， and individual predicted exposure （IPRE）， 13 commonly used regression algorithm models and 1 weighted ensemble model were systematically compared. The dataset was split into training set and test set in an 80∶20 ratio by patient. Five-fold cross-validation based on patient grouping was performed on the training set， and the model performance was evaluated on the obtained evaluation points using the coefficient of determination （ R 2 ）， mean absolute error （MAE）， root mean square error （RMSE）， Pearson correlation coefficient （Corr） and ±20%/±30% accuracy. The SHapley Additive exPlanations （SHAP） method was used for model interpretability analysis to identify core predictive features. RESULTS A total of 809 consecutive TDM records from 83 kidney transplant recipients were included， with 66 cases in the training set and 17 cases in the test set. The SVR model showed the best performance， with R 2 of 0.649 8， MAE of 1.126 0 ng/mL， RMSE of 1.478 6 ng/mL， Corr of 0.819 1， ±20% accuracy of 59.68%， and ±30% accuracy of 79.03%. The Weighted Ensemble model and Extra Trees model ranked second and third， respectively. SHAP interpretability analysis showed that the top 6 features contributing to the prediction were IPRE， previous TDM concentration， previous C/D ratio， dose-normalized concentration， hematocrit （HCT）， and concentration-dose coefficient （ θ cd ）， among which IPRE was the core predictive feature （SHAP mean value 0.915 4）. CONCLUSIONS The machine learning model incorporating PPK information demonstrates good predictive ability for tacrolimus concentration in the current TDM cohort. SVR is the optimal model， IPRE is the core predictive feature of the model， and a few core PK-derived features （IPRE， dose-normalized concentration， θ cd ） together with clinical features （previous TDM concentration， HCT， etc.） constitute the main information sources for model prediction.

Objective To analyze the value of contrast-enhanced ultrasound (CEUS) quantitative parameters in identifying benign and malignant ovarian tumors so as to provide reference for ultrasound diagnosis of ovarian cancer. Methods A total of 116 patients with ovarian tumors admitted to the hospital between February 2021 and February 2024 were enrolled. All patients underwent CEUS examination. Pathological fingdings served as the gold standard to evaluate the diagnostic performance of CEUS quantitative parameters. Results Pathological examination identified 74 benign and 42 malignant ovarian tumors. No significant differences were observed between the two groups in terms of initial enhancement time, enhancement intensity or regression rate (P>0.05). The time to peak was significantly longer in patients with benign tumors than in those with malignant tumors (P<0.05). Whereas peak intensity and enhancement rate were significantly lower in the benign goup (P<0.05). ROC curves analysis showed that when using a single parameter for diagnosis, enhancement rate yielded the largest area under the curve (AUC) of 0.977. Its sensitivity and specificity were 95.24% and 98.65%. The combination of parameters achieved an even larger AUC of 0.998, with a sensitivity of 97.62% and a specificity of 98.65%. Conclusion The combination of CEUS quantitative (time to peak, peak intensity and enhancement rate) demonstrates good diagnostic value for benign and malignant ovarian tumors and improves diagnostic sensitivity.

Metabolic-associated fatty liver disease (MAFLD) and osteoporosis (OP) are two very common metabolic diseases. A growing body of experimental evidence supports a pathophysiological link between MAFLD and OP. MAFLD is often associated with the development of OP. Rutaecarpine (RUT) is one of the main active components of Chinese medicine Euodiae Fructus. Our previous studies have demonstrated that RUT has lipid-lowering, anti-inflammatory and anti-atherosclerotic effects, and can improve the OP of rats. However, whether RUT can improve both fatty liver and OP symptoms of MAFLD mice at the same time remains to be investigated. In this study, we used C57BL/6 mice fed a high-fat diet (HFD) for 4 months to construct a MAFLD model, and gave the mice a low dose (5 mg·kg^-1) and a high dose (15 mg·kg^-1) of RUT by gavage for 4 weeks. The effects of RUT on liver steatosis and bone metabolism were then evaluated at the end of the experiment [this experiment was approved by the Experimental Animal Ethics Committee of Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences (approval number: IMB-20190124D₃03)]. The results showed that RUT treatment significantly reduced hepatic steatosis and lipid accumulation, and significantly reduced bone loss and promoted bone formation. In summary, this study shows that RUT has an effect of improving fatty liver and OP in MAFLD mice.

Purpose To analyse the expression of aldo-keto reductase AKR1C3 in the tumour tissues of oral squa-mous carcinoma(OSCC)and the correlation of clinical prognosis of patients.Methods Immunohistochemical(IHC)staining was performed to analyze the expression characteristics of AKR1C3 in 86 cases of OSCC tumor tissues and paired paratumor normal tissue.The correlation between AKR1C3 expression and clinical prognosis was evaluated.Ka-plan-Meier survival analysis was conducted to assess the survival outcomes of OSCC patients.Univariate and multivari-ate Cox regression analyses were employed to identify prognostic factors.The findings were further validated by compar-ison with the Cancer Genome Atlas(TCGA)database.Results The expression of AKR1C3 was significantly higher in OSCC tumor tissues than in paratumor normal tissue,with higher expression observed at the invasive front relative to the tumor centers.Immunohistochemical analysis revealed high expression in both tumor cells and tumor-associated fibro-blasts,while no expression was detected in tumor-infiltrating immunocytes.The x2 test was used to compare the rela-tionship between different expression levels of AKR1C3 and clinicopathological features in OSCC,the results showed that high expression of AKR1C3 was strongly associated with higher tumour stage(P=0.001),lymph node metastasis(P=0.023),differentiation(P=0.018),worst pattern of invasion(P=0.024)and depth of invasion(P=0.012).Kaplan-Meier survival curve analysis showed high expression of AKR1C3 was associated with overall survival(P=0.004),disease-free survival(P=0.019),and metastasis-free survival(P=0.05)in OSCC patients.Cox re-gression model was performed for prognostic analysis.Univariate analysis showed that high expression of AKR1C3 in tumour cells was a high-risk factor for patients' tumour stage(P＜0.001),lymph node metastasis(P＜0.001),dif-ferentiation(P＜0.001),worst pattern of invasion(P＜0.001),depth of invasion(P＜0.001).Multivariate analy-sis further showed that high expression of AKR1C3 in tumour cells was an independent prognostic factor in OSCC pa-tients(P=0.025).Conclusion The AKR1C3 expression is closely related to the prognosis of OSCC patients,and patients with high AKR1C3 expression have a poor prognosis,suggesting that AKR1C3 plays an important role in the occurrence and development of OSCC.

Objective To investigate the distribution and antimicrobial resistance profiles of common pathogens isolated from cerebrospinal fluid(CSF)in CHINET program from 2015 to 2021.Methods The bacterial strains isolated from CSF were identified in accordance with clinical microbiology practice standards.Antimicrobial susceptibility test was conducted using Kirby-Bauer method and automated systems per the unified CHINET protocol.Results A total of 14 014 bacterial strains were isolated from CSF samples from 2015 to 2021,including the strains isolated from inpatients(95.3％)and from outpatient and emergency care patients(4.7％).Overall,19.6％of the isolates were from children and 80.4％were from adults.Gram-positive and Gram-negative bacteria accounted for 68.0％and 32.0％,respectively.Coagulase negative Staphylococcus accounted for 73.0％of the total Gram-positive bacterial isolates.The prevalence of MRSA was 38.2％in children and 45.6％in adults.The prevalence of MRCNS was 67.6％in adults and 69.5％in children.A small number of vancomycin-resistant Enterococcus faecium(2.2％)and linezolid-resistant Enterococcus faecalis(3.1％)were isolated from adult patients.The resistance rates of Escherichia coli and Klebsiella pneumoniae to ceftriaxone were 52.2％and 76.4％in children,70.5％and 63.5％in adults.The prevalence of carbapenem-resistant E.coli and K.pneumoniae(CRKP)was 1.3％and 47.7％in children,6.4％and 47.9％in adults.The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)and Pseudomonas aeruginosa(CRPA)was 74.0％and 37.1％in children,81.7％and 39.9％in adults.Conclusions The data derived from antimicrobial resistance surveillance are crucial for clinicians to make evidence-based decisions regarding antibiotic therapy.Attention should be paid to the Gram-negative bacteria,especially CRKP and CRAB in central nervous system(CNS)infections.Ongoing antimicrobial resistance surveillance is helpful for optimizing antibiotic use in CNS infections.

Objective To investigate the antimicrobial resistance of clinical isolates from elderly patients(≥65 years)in major medical institutions across China.Methods Bacterial strains were isolated from elderly patients in 52 hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program during the period from 2015 to 2021.Antimicrobial susceptibility test was carried out by disk diffusion method and automated systems according to the same CHINET protocol.The data were interpreted in accordance with the breakpoints recommended by the Clinical and Laboratory Standards Institute(CLSI)in 2021.Results A total of 514 715 nonduplicate clinical isolates were collected from elderly patients in 52 hospitals from January 1,2015 to December 31,2021.The number of isolates accounted for 34.3％of the total number of clinical isolates from all patients.Overall,21.8％of the 514 715 strains were gram-positive bacteria,and 78.2％were gram-negative bacteria.Majority(90.9％)of the strains were isolated from inpatients.About 42.9％of the strains were isolated from respiratory specimens,and 22.9％were isolated from urine.More than half(60.7％)of the strains were isolated from male patients,and 39.3％isolated from females.About 51.1％of the strains were isolated from patients aged 65-＜75 years.The prevalence of methicillin-resistant strains(MRSA)was 38.8％in 32 190 strains of Staphylococcus aureus.No vancomycin-or linezolid-resistant strains were found.The resistance rate of E.faecalis to most antibiotics was significantly lower than that of Enterococcus faecium,but a few vancomycin-resistant strains(0.2％,1.5％)and linezolid-resistant strains(3.4％,0.3％)were found in E.faecalis and E.faecium.The prevalence of penicillin-susceptible S.pneumoniae(PSSP),penicillin-intermediate S.pneumoniae(PISP),and penicillin-resistant S.pneumoniae(PRSP)was 94.3％,4.0％,and 1.7％in nonmeningitis S.pneumoniae isolates.The resistance rates of Klebsiella spp.(Klebsiella pneumoniae 93.2％)to imipenem and meropenem were 20.9％and 22.3％,respectively.Other Enterobacterales species were highly sensitive to carbapenem antibiotics.Only 1.7％-7.8％of other Enterobacterales strains were resistant to carbapenems.The resistance rates of Acinetobacter spp.(Acinetobacter baumannii 90.6％)to imipenem and meropenem were 68.4％and 70.6％respectively,while 28.5％and 24.3％of P.aeruginosa strains were resistant to imipenem and meropenem,respectively.Conclusions The number of clinical isolates from elderly patients is increasing year by year,especially in the 65-＜75 age group.Respiratory tract isolates were more prevalent in male elderly patients,and urinary tract isolates were more prevalent in female elderly patients.Klebsiella isolates were increasingly resistant to multiple antimicrobial agents,especially carbapenems.Antimicrobial resistance surveillance is helpful for accurate empirical antimicrobial therapy in elderly patients.

Objective To investigate the expressions of long non-coding ribonucleic acid OPA-interacting protein 5 antisense transcript 1(lncRNA OIP5-AS1)and microribonucleic acid 22-3p(miR-22-3p)in gastric cancer tissue and their relationships with clinicopathological features and prognosis.Methods A total of 106 patients diagnosed with gastric cancer in Zhuji Central Hospital from June 2017 to November 2020 were retrospectively enrolled as the study subjects.Cancer tissue and adjacent tissue(＞5cm from the lesion)were collected during surgery and assigned into the gastric cancer group and adjacent group,respectively.Quantitative reverse transcription polymerase chain reaction(qRT-PCR)was applied to detect the levels of lncRNA OIP5-AS1 and miR-22-3p in various tissues.The prognoses were poor(death)in 40 patients(poor prognosis group)and good in 66 patients(good prognosis group).Pearson method was applied to analyze the relationship between lncRNA OIP5-AS1 and miR-22-3p levels in cancer tissues.Kaplan-Meier method was applied to analyze the relationships of the expression levels of lncRNA OIP5-AS1 and miR-22-3p with prognosis.COX re-gression analysis was performed to analyze the factors influencing the prognosis.Results Compared with the adjacent group,the gastric cancer group had significantly increased lncRNA OIP5-AS1 level and significantly reduced miR-22-3p level(all P＜0.05).Lucifer-ase assay showed that lncRNA OIP5-AS1had a targeting relationship with miR-22-3p.The expression level of lncRNA OIP5-AS1 was negatively correlated with that of miR-22-3p in cancer tissues(rp=-0.426,P＜0.001).The expression levels of lncRNA OIP5-AS1 and miR-22-3p were closely related to tumor staging and differentiation(all P＜0.05).Compared with the good prognosis group,the poor prognosis group had significantly increased lncRNA OIP5-AS1 level and significantly reduced miR-22-3p level in cancer tissues(all P＜0.05).Kaplan-Meier method reveled that the 3-year survival rate was significantly lower in the high lncRNA OIP5-AS1 expression group than in the low lncRNA OIP5-AS1 expression group(x2=27.667,P＜0.001)but was significantly higher in the high miR-22-3p expression group than in the low miR-22-3p expression group(x2=19.876,P＜0.001).COX regression showed that the expressions of lncRNA OIP5-AS1(HR=3.652)and miR-22-3p(HR=0.748)were the prognostic factors for gas-tric cancer patients(all P＜0.05).Conclusion LncRNA OIP5-AS1 is highly expressed in gstric cancer tissues,while miR-22-3p is lowly expressed.The two are negatively correlated,and both of them are closely related to the clinicopathological features and prognosis of gastric cancer.