ObjectiveTo investigate the pathogenic spectrum and epidemiological characteristics of diarrheal disease in Fengxian District of Shanghai, and to provide scientific basis for the prevention and control of diarrheal diseases. MethodsBasic information of the initial adult cases visited diarrheal disease surveillance sentinel hospital in Fengxian District, Shanghai, was collected from August 2013 to 2023, and fecal samples were collected at 1∶5 sampling intervals to isolate and identify 5 kinds of diarrheagenic Escherichia coli (DEC), Salmonella (SAL), Vibrio parahaemolyticus, Campylobacter, Vibrio cholerae, Shigella and Yersinia enterocolitica (YE). Simultaneously, nucleic acid detection was performed for 3 kinds of rotavirus, 2 kinds of norovirus, intestinal adenovirus, astrovirus and sapovirus. ResultsA total of 1 861 cases of newly diagnosed diarrheal disease were reported, with the peak in July to August. Additionally, 704 surveillance samples were detected, with a total positive detection rate of 50.57%. The detection rates of bacterial, viral and mixed infection were 25.14%, 21.02% and 4.40%, respectively. Among the pathogens detected, DEC accounted for the highest (17.61%, 124/704), followed by norovirus (16.48%, 116/704), rotavirus (6.39%, 45/704), SAL (5.97%, 42/704) and Campylobacter (3.84%, 27/704). DEC detected were mainly enteroaggregative Escherichia coli and enterotoxigenic Escherichia coli, with no detection of Vibrio cholerae, Shigella and YE. The highest total pathogen detection rate was observed from June to September, and the detection peaks of norovirus were from March to June and from October to December, whereas that of DEC was from June to October. The detection rate of rotavirus peaked from January to February, but which was not detected between 2020‒2023. The SAL positive rate peak was in September, whereas that of Campylobacter was from July to September. ConclusionThe main pathogens detected in Fengxian District from 2013‒2019 are DEC, norovirus, rotavirus, SAL and Campylobacter. Different pathogens have different detection peaks, with bacteria predominating in summer and viruses in winter and spring. Prevention and control measures should be carried out according to the epidemiological characteristics of different seasons.

Acute liver injury (ALI) serves as a critical precursor and major etiological factor in the progression and ultimate manifestation of various hepatic disorders. The prevention and treatment of ALI is still a serious global challenge. Given the limited therapeutic options for ALI, exploring novel targeted therapeutic agents becomes imperative. The potential therapeutic efficacy of inhibiting RIPK2 is highlighted, as it may provide significant benefits by attenuating the MAPK pathway and NF-κB signaling. Herein, we propose a CMD-OPT model, a two-stage molecular optimization tool for the rapid discovery of RIPK2 inhibitors with optimal properties. Compound RP20, which targets the ATP binding site, demonstrated excellent kinase specificity, ideal oral pharmacokinetics, and superior therapeutic effects in a model of APAP-induced ALI, positioning RP20 as a promising preclinical candidate. This marks the first application of RIPK2 inhibitors in ALI treatment, opening a novel therapeutic pathway for clinical applications. These results highlight the efficacy of the CMD-OPT model in producing lead compounds from known active molecules, showcasing its significant potential in drug discovery.

ObjectiveTo understand the prevalence of tobacco use among residents aged 15 years old and above in Jiading District of Shanghai, and to provide a scientific basis for formulating effective regional tobacco control policies. MethodsThe Probability Proportional to Size (PPS) sampling method was employed to select one neighborhood committee (village) from each of Jiading District’s 11 subdistricts as survey monitoring sites. From the household registry of each selected neighborhood committee (village), 50 residential households were randomly sampled, resulting in a total of 550 households surveyed. Within each selected household, one permanent resident aged 15 years old or above was randomly chosen to complete the questionnaire. The content covered general information, exposure to secondhand smoke, awareness of tobacco related health hazards, etc. Statistical analyses were performed using SPSS 27.0 software. ResultsA total of 550 questionnaires were distributed, with 549 valid responses collected, and the effective response rate was 99.82%. The survey findings revealed that in 2023, the current smoking rate among individuals aged 15 years old and above in Jiading District of Shanghai was 18.76%, with males accounting for 38.93% and females accounting for 2.62%. Male gender was identified as a relative factor for smoking (OR=34.108, 95%CI: 14.440‒80.722), whereas higher education attainment emerged as a protective factor against smoking (OR=0.388, 95%CI: 0.184‒0.820). Among non-smokers aged 15 years old and above in Jiading District, the secondhand smoke exposure rate was 46.86%, with statistically significant differences observed across different age groups and occupations (P<0.001). Restaurants exhibited the highest secondhand smoke exposure rate of 42.14%, followed by households bearing (36.79%). The overall awareness rate among individuals aged 15 years old and above in Jiading District regarding four smoking-related diseases, namely stroke, heart disease, lung cancer, and impotence, was 48.45%, while the awareness rate for three secondhand smoke-induced diseases, namely adult heart disease, pediatric pulmonary disease, and adult lung cancer, was 64.29%. ConclusionThere is still room for reduction in the prevalence of tobacco use among individuals aged 15 yeas old and above in Jiading District. The exposure to secondhand smoke is severe, and residents have low awareness of the harm of tobacco. Tobacco control law enforcement should be strengthened, smoke-free-home health education should be included in tobacco control efforts, and targeted health education should be carried out.

Objective: To establish and validate a whole blood (WB) supply model, thereby providing practical experience for the clinical application of WB in domestic trauma emergency care and informing the development of a wartime blood supply system for the military. Methods: A “10×24” WB supply model was established by formulating blood collection protocols, storage standards, and transfusion criteria. Multiple WB samples were tested under specific storage conditions to assess key indicators at different time points, including red blood cell (RBC), white blood cell (WBC), and platelet counts, hemoglobin concentration, coagulation parameters (PT, APTT, TT, FIB), coagulation factor activity, thromboelastography (TEG) parameters, and electrolyte levels. Additionally, clinical data from hemorrhagic patients who met the criteria for WB transfusion and were admitted between March and July 2024 were analyzed to evaluate WB transfusion volume. Results: RBC counts and hemoglobin levels remained stable in WB stored at 4℃ for up to 10 days. However, platelet counts and coagulation function (PT, APTT) significantly declined with prolonged storage, while potassium levels increased. From March to July 2024, the model was successfully applied to 23 patients with acute hemorrhage, with a median WB transfusion volume of 543 mL. A detailed case study of a severe traumatic hemorrhagic shock patient was reported, who was successfully treated with 5.5 units of refrigerated WB combined with component blood. Conclusion: The “10×24” WB supply model demonstrated acceptable changes in critical quality parameters under strict management and a 10-day rotation cycle. This model effectively supports the treatment of acute hemorrhage and holds promise for integration into the future wartime blood supply system of the military.

Objective: To investigate the correlation between tumor size, tumor location, and prognosis in patients with early-stage endometrial cancer (EC) receiving adjuvant radiotherapy. Methods: Data of patients who had been treated for stage I–II EC from March 1999 to September 2017 in 13 tertiary hospitals in China was screened. Cox regression analysis was performed to investigate associations between tumor size, tumor location, and other clinical or pathological factors with cancer-specific survival (CSS) and distant metastasis failurefree survival (DMFS). The relationship between tumor size as a continuous variable and prognosis was demonstrated by restricted cubic splines. Prognostic models were constructed as nomograms and evaluated by Harrell’s C-index, calibration curves and receiver operating characteristic (ROC) curves. Results: The study cohort comprised 805 patients with a median follow-up of 61 months and a median tumor size of 3.0 cm (range 0.2–15.0 cm). Lower uterine segment involvement (LUSI) was found in 243 patients (30.2%). Tumor size and LUSI were identified to be independent prognostic factors for CSS. Further, tumor size was an independent predictor of DMFS. A broadly positive relationship between poor survival and tumor size as a continuous variable was visualized in terms of hazard ratios. Nomograms constructed and evaluated for CSS and DMFS had satisfactory calibration curves and C-indexes of 0.847 and 0.716, respectively. The area under the ROC curves for 3- and 5-year ROC ranged from 0.718 to 0.890. Conclusion Tumor size and LUSI are independent prognostic factors in early-stage EC patients who have received radiotherapy. Integrating these variables into prognostic models would improve predictive ability.

Idiopathic pulmonary fibrosis (IPF) is an interstitial lung disease that is difficult to diagnose clinically, and finding appropriate biomarkers to assist in the diagnosis and prognosis monitoring of IPF can improve the proportion of early diagnosis and timely treatment of these patients and improve the quality of life of patients

Objective:The combined diagnosis models was constructed with the test indicators and its application value in the clinical evaluation of patients with interstitial lung disease was evaluated.Methods:Methodology development and validation. A total of 101 patients with idiopathic pulmonary fibrosis (IPF) and 107 patients with non-IPF interstitial lung disease admitted to China-Japan Friendship Hospital from 2022 to 2023 were collected, and 98 healthy people were collected during the same period. The population in each group was divided into modeling group (180 cases) and validation group (126 cases) by complete randomization. Serum samples and clinical test results were collected. The test indicators included white blood cell count, lymphocyte count, monocyte count, hemoglobin concentration, highly sensitive C-reactive protein, Krebs von den Lungen 6, total cholesterol, triglycerides, high density lipoprotein cholesterol, low density lipoprotein cholesterol, adenosine deaminase, neuron-specific enolase, alpha-fetoprotein, carcinoembryonic antigen, cytokeratin 19 fragment, carbohydrate antigen 15-3, gastrin releasing peptide precursor, squamous cell carcinoma antigen and interleukin 1 (IL-1), IL-2, IL-4, IL-5, IL-6, IL-8, IL-10, IL-12p70, IL-17, tumor necrosis factor-α, interferon-α, interferon-γ. Multiple collinearity test, univariate and multivariate logistic regression were performed for the included test indicators in each group, and nomograms were established and validated by receiver operating characteristic (ROC) curves, calibration curves and clinical decision curves.Results:By comparing interstitial lung disease to healthy people, carbohydrate antigen 15-3 ( OR=1.285, 95% CI 1.178-1.402), IL-6 ( OR=1.128, 95% CI 1.011-1.258), adenosine deaminase ( OR=1.465, 95% CI 1.261-1.702), and Krebs von den Lungen-6 ( OR=1.013, 95% CI 1.008-1.017) were independent risk factors for interstitial lung disease. Based on these four indexes, the nomogram model was constructed. The AUCs of the combined diagnosis model in the modeling group and validation group were 0.967(95%CI 0.941-0.993)and 0.948(95% CI 0.911-0.984), respectively.Decision curve analysis showed that the net benefit of the combined diagnosis model in diagnosing IPF was higher than that of a single indicator within the threshold range of 0.01-1. In the comparison of IPF and non-IPF interstitial lung disease, alpha-fetoprotein ( OR=1.403, 95% CI 0.975-2.019) and squamous cell carcinoma antigen ( OR=0.531, 95% CI 0.321-0.878) were independent risk factors for IPF. The AUCs of the combined diagnosis model in the modeling group and validation group were 0.703 (95% CI 0.597-0.81) and 0.642 (95% CI 0.528-0.757), respectively. Through calibration curve and clinical decision curve verification, it was found that it had a certain value in the differential diagnosis of IPF. Conclusions:Carbohydrate antigen 15-3, IL-6, adenosine deaminase and Krebs von den Lungen 6 are risk factors of interstitial lung disease, which can be used to construct a combined diagnostic model for the diagnosis of interstitial lung disease. Alpha-fetoprotein and squamous cell carcinoma antigen are risk factors of IPF, which can be used to construct a combined diagnostic model to distinguish IPF from non-IPF interstitial lung disease and assist clinical diagnosis of IPF.

Idiopathic pulmonary fibrosis (IPF) is an interstitial lung disease that occurs mostly in the middle-aged and eldly people, with a short median survival and cannot be cured, and the etiology is still unclear. Currently, it is believed that the pathogenesis is related to cellular aging, and abnormal cellular aging leads to the failure of damaged alveolar epithelial cells that cannot be repaired normally, which promotes the occurrence of pulmonary fibrosis. Senescence-associated secretory phenotype (SASP), SASP affects pulmonary fibrosis through different signaling pathways in IPF patients, and this article reviews the expression level and mechanism of existing SASP in IPF patients.

Objective:To analyze the distribution and drug resistance of pathogens of bacterial bloodstream infection in patients with hematological diseases in the Department of Hematology of Tianjin Medical University General Hospital, and to provide etiological data for clinical empirical anti-infection treatment.Methods:A retrospective analysis was conducted on the general clinical information, pathogenic bacteria and drug susceptibility test results of patients with hematological diseases diagnosed with bacterial bloodstream infection by menstrual blood culture in our center from January 2016 to December 2022.Results:Patients included 498 inpatients, with a total of 639 bacterial strains. Among the patients, 86.9% patients had malignancies, and 76.7% had agranulocytosis. Symptoms of concurrent infections, including those of the respiratory tract, oral mucosa, skin and soft tissues, and abdominal sources were observed in 68.3% patients. Gram-negative bacteria (G -) accounted for 79.0% of the isolated bacteria, and gram-positive bacteria (G +) accounted for 21.0%. The top five isolated pathogens were Klebsiella pneumoniae (22.5%), Escherichia coli (20.8%), Pseudomonas aeruginosa (15.0%), Enterococcus faecium (5.5%), and Stenotrophomonas maltophilum (5.0%). Escherichia coli exhibited a decreasing trend of resistance to quinolones, cephalosporins, and carbapenems. Klebsiella pneumoniae exhibited increasing rates of resistance to quinolones and cephalosporins between 2016 and 2018, but the rated decreased after 2019. The resistance rate to carbapenems exhibited by Pseudomonas aeruginosa was approximately 20%. Carbapenem-resistant strains of Pseudomonas aeruginosa strains were first detected in 2017, with a peak resistance rate of 35.7%, detected in 2019. A 60.0% resistance rate to methicillin was observed in methicillin-resistant coagulase-negative staphylococci (MRCNS), and one case of linezolid-resistant MRCNS was detected. Conclusions:Pathogenic bacteria of bacterial bloodstream infections were widely distributed in our center, and precautions are warranted against carbapenem resistant P. aeruginosa and Klebsiella pneumoniae.

Objective: To investigate the correlation between tumor size, tumor location, and prognosis in patients with early-stage endometrial cancer (EC) receiving adjuvant radiotherapy. Methods: Data of patients who had been treated for stage I–II EC from March 1999 to September 2017 in 13 tertiary hospitals in China was screened. Cox regression analysis was performed to investigate associations between tumor size, tumor location, and other clinical or pathological factors with cancer-specific survival (CSS) and distant metastasis failurefree survival (DMFS). The relationship between tumor size as a continuous variable and prognosis was demonstrated by restricted cubic splines. Prognostic models were constructed as nomograms and evaluated by Harrell’s C-index, calibration curves and receiver operating characteristic (ROC) curves. Results: The study cohort comprised 805 patients with a median follow-up of 61 months and a median tumor size of 3.0 cm (range 0.2–15.0 cm). Lower uterine segment involvement (LUSI) was found in 243 patients (30.2%). Tumor size and LUSI were identified to be independent prognostic factors for CSS. Further, tumor size was an independent predictor of DMFS. A broadly positive relationship between poor survival and tumor size as a continuous variable was visualized in terms of hazard ratios. Nomograms constructed and evaluated for CSS and DMFS had satisfactory calibration curves and C-indexes of 0.847 and 0.716, respectively. The area under the ROC curves for 3- and 5-year ROC ranged from 0.718 to 0.890. Conclusion Tumor size and LUSI are independent prognostic factors in early-stage EC patients who have received radiotherapy. Integrating these variables into prognostic models would improve predictive ability.