Objective: To analyze the etiological surveillance results of influenza-like illness (ILI) cases in Jiangsu Province, and investigate the distribution characteristics of different influenza virus types, so as to provide the evidence for improving influenza prevention and control measures. Methods: Influenza laboratory testing data for sentinel surveillance of ILI cases in Jiangsu Province from 2019 to 2024 were collected through the China Influenza Surveillance Information System. The positive detection rate of influenza virus was calculated, and descriptive analysis was performed to characterize the distribution of different influenza virus types. Using the farthest neighbor linkage method, influenza virus positive detection rates clustering was analyzed by year and week. Clusters were defined based on inter-cluster distance, and the intensity of the positive detection rate was visualized through color gradients in the clustering heatmap. Results: From 2019 to 2024, a total of 183 878 ILI specimens were collected in Jiangsu Province. Among them, 20 059 specimens tested positive for influenza virus, corresponding to an overall positive detection rate of 10.91%, and an average annual positive detection rate of 10.89%. The primary circulating influenza virus types were influenza A H3N2 subtype, accounting for 40.92%, followed by influenza B Victoria linage at 34.00%, and influenza A H1N1 subtype at 24.80%. Influenza B Yamagata linage was not detected throughout the five-year period. Influenza A H3N2 subtype predominated during two distinct periods: from January to March 2019, and from June 2022 to December 2023. Influenz B Victoria linage was the dominant type from April 2019 to May 2022 and again from January to April 2024. Influenza A H1N1 subtype emerged as the primary type from May to December 2024. Year-based clustering analysis grouped the annual positive detection rates from 2019 to 2024 into three clusters. The closest cluster distance was observed between 2019 and 2024. The highest annual positive detection rate occurred in 2023. Both influenza A H3N2 and H1N1 subtype each formed a single cluster, with their peak positive detection rates also recorded in 2023. Influenza B Victoria lineage was separated into two clusters, with its highest positive detection rate occurring in 2020. Week-based clustering analysis revealed that influenza virus detection was concentrated in weeks 47 to 52 and weeks 1 to 15. More specifically, the positive detection rates for influenza A H3N2 subtype peaked during weeks 30 to 34 and weeks 42 to 52; for influenza A H1N1 subtype, during weeks 9 to 15 and weeks 51 to 52; and for influenza B Victoria lineage, during weeks 1 to 11 and weeks 50 to 52. Conclusions From 2019 to 2024, the average annual positive detection rate of influenza virus in Jiangsu Province remained relatively low. Influenza activity characterized by the alternating circulation of influenza A H1N1 subtype, influenza A H3N2 subtype, and influenza B Victoria linage. It is necessary to maintain the surveillance sensitivity for the influenza B Yamagata lineage.

: To analyze the prevalence of anemia and iron deficiency among primary and secondary school students in Rural Nutrition Improvement Program areas of Guizhou Province in 2023, and to explore the related factors, so as to provide evidence for Rural Nutrition Improvement Program optimization. Methods: In September 2023, a stratified random cluster sampling strategy was used to select 40 rural compulsory education schools with rural nutrition improvement program in five counties of Guizhou Province. School level questionnaire was employed to collect information of basic characteristics and school meal implementation. A total of 7 826 primary and secondary school students aged 6-16 underwent anthropometry and hemoglobin (Hb) determination; serum ferritin (SF) was additionally measured in a random subsample of 1 795 pupils. Students in Grade 3 and above also completed a questionnaire covering demographic characteristics, dietary behaviours and nutrition knowledge. Group comparisons were conducted by Chi square test or Fisher s exact test, and multivariable Logistic regression models were constructed to identify factors associated with anemia and iron deficiency. Results: The overall Hb level was (133.21±12.95)g/L, with an anemia prevalence of 7.17%. The overall SF level was (69.58±59.01)μg/L, with an iron deficiency prevalence of 2.73%. Multivariable analysis showed that stunting ( OR =1.88), school menus without nutrient calculation ( OR =1.61) and absence of menu planning software in the current semester ( OR =2.34) independently increased anemia risk, whereas obesity reduced it ( OR =0.54) (all P <0.05). Girls ( OR =4.16) and Grades 7-9 ( OR =5.93) increased iron deficiency risk (both P <0.05). Compared with rarely eating fresh vegetables, students with consuming <3 kinds per day ( OR =0.08) or exactly 3 kinds per day ( OR =0.06) had lower iron deficiency risks (both P <0.05). Conclusions Anemia and iron deficiency are prevalent among primary and secondary school students in Guizhou. Targeted intervention measures should be implemented for key populations to enhance the effectiveness of nutrition improvement program.

Objective To explore the mechanism of Yizhu Wendan Decoction in treating eczema through GEO database combined with network pharmacology and experimental verification.Methods TCMSP,BATMAN-TCM and ETCM databases were used to screen the active components of Yizhu Wendan Decoction.Disease target information related to eczema was collected through GEO database.The drug-component-target network and PPI network were constructed by intersections of active component targets and disease targets.GO and KEGG pathway enrichment analyses were performed using DAVID database.CCK-8 method was used to screen out the optimal intervention concentration of freeze-dried powder of Yizhu Wendan Decoction.HaCaT cells were divided into control group,model group,Yizhu Wendan Decoction low concentration group,Yizhu Wendan Decoction high concentration group,si-IL-17RA group,si-IL-17RA+Yizhu Wendan Decoction low concentration group,si-IL-17RA+Yizhu Wendan Decoction high concentration group,Dexamethasone group,si-IL-17RA+Dexamethasone group.Each group was given relevant intervention.The expressions of chemokines and inflammatory factors were detected by qPCR.EdU and Annexin V-FITC/PI double staining were used to detect cell proliferation and apoptosis.Western blot was performed to detect the expressions of proteins related to apoptosis,skin barrier and IL-17 signaling pathway.Results By using databases,180 active components of Yizhu Wendan Decoction were obtained.Combined with GEO database microarrays related to eczema(GSE6012 and GSE57225),8 potential targets of Yizhu Wendan Decoction in the treatment of eczema were obtained.KEGG enrichment pathway mainly involved IL-17 signaling pathway,lipid and atherosclerotic,TNF signaling pathway,fluid shear stress and atherosclerotic,etc.When Yizhu Wendan Decoction freeze-dried powder concentration was 100 μg/mL,cell viability was the strongest.Yizhu Wendan Decoction could significantly inhibit the mRNA expressions of chemokines and inflammatory factors CCL17,CCL22,IL-1β,TNF-α,IL-6,IFN-γ,and increase the mRNA expression of IL-4 in eczema.It promoted the proliferation of HaCaT cells,increased the protein expression of Bcl-2,and reduced the protein expressions of Bad and Cleaved Caspase-3,thus inhibiting HaCaT cells apoptosis;promoted the protein expressions of FLG and LOR,and reduced the expression of MMP9,MMP1,CCL2,FOSL1,IL-17RA proteins in IL-17 signaling pathway.Conclusion Yizhu Wendan Decoction can treat eczema with multiple components,multiple pathways and multiple targets,promote the proliferation of HaCaT cells,inhibit their apoptosis,and restore the skin barrier.Its mechanism may be related to inhibiting the activation of IL-17 signaling pathway.

Objective To explore the application of artificial intelligence quantitative analysis in the prognostic assessment of patients with connective tissue disease-associated interstitial lung disease(CTD-ILD).Methods A total of 67 patients with CTD-ILD were retrospectively selected.All subjects underwent high-resolution computed tomography(HRCT)scanning and were categorized into three groups,namely mild,moderate and severe groups,based on the results of pulmonary function tests.The survival rates of patients in each group were compared using Kaplan-Meier curves and analysis of variance.The univariate analysis was employed to assess the rela-tionships between artificial intelligence parameters and patient prognosis.Significant results were then incorporated into a multifacto-rial Cox regression model to construct the most accurate predictive model.Results A significant difference in survival rate was observed among the three groups(P<0.05).Univariate analysis revealed that the volume and percentage of lung infection in deceased patients were significantly greater than those in surviving patients,while the lung volume in deceased patients was significantly smaller than that in surviving patients.The analysis showed left lung volume and the percentage of lesion components CT value≤-750 HU as risk factors for prognosis,and the combination of these two factors as the most effective predictive model.Conclusion The artificial intelligence analysis system for lung lesions provides a new systematic and quantitative method for the prognostic assessment of CTD-ILD patients,which can be used for the prognostic assessment and follow-up of CTD-ILD patients.

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Objective To explore the application of artificial intelligence quantitative analysis in the prognostic assessment of patients with connective tissue disease-associated interstitial lung disease(CTD-ILD).Methods A total of 67 patients with CTD-ILD were retrospectively selected.All subjects underwent high-resolution computed tomography(HRCT)scanning and were categorized into three groups,namely mild,moderate and severe groups,based on the results of pulmonary function tests.The survival rates of patients in each group were compared using Kaplan-Meier curves and analysis of variance.The univariate analysis was employed to assess the rela-tionships between artificial intelligence parameters and patient prognosis.Significant results were then incorporated into a multifacto-rial Cox regression model to construct the most accurate predictive model.Results A significant difference in survival rate was observed among the three groups(P<0.05).Univariate analysis revealed that the volume and percentage of lung infection in deceased patients were significantly greater than those in surviving patients,while the lung volume in deceased patients was significantly smaller than that in surviving patients.The analysis showed left lung volume and the percentage of lesion components CT value≤-750 HU as risk factors for prognosis,and the combination of these two factors as the most effective predictive model.Conclusion The artificial intelligence analysis system for lung lesions provides a new systematic and quantitative method for the prognostic assessment of CTD-ILD patients,which can be used for the prognostic assessment and follow-up of CTD-ILD patients.

Objective To explore the mechanism of Yizhu Wendan Decoction in treating eczema through GEO database combined with network pharmacology and experimental verification.Methods TCMSP,BATMAN-TCM and ETCM databases were used to screen the active components of Yizhu Wendan Decoction.Disease target information related to eczema was collected through GEO database.The drug-component-target network and PPI network were constructed by intersections of active component targets and disease targets.GO and KEGG pathway enrichment analyses were performed using DAVID database.CCK-8 method was used to screen out the optimal intervention concentration of freeze-dried powder of Yizhu Wendan Decoction.HaCaT cells were divided into control group,model group,Yizhu Wendan Decoction low concentration group,Yizhu Wendan Decoction high concentration group,si-IL-17RA group,si-IL-17RA+Yizhu Wendan Decoction low concentration group,si-IL-17RA+Yizhu Wendan Decoction high concentration group,Dexamethasone group,si-IL-17RA+Dexamethasone group.Each group was given relevant intervention.The expressions of chemokines and inflammatory factors were detected by qPCR.EdU and Annexin V-FITC/PI double staining were used to detect cell proliferation and apoptosis.Western blot was performed to detect the expressions of proteins related to apoptosis,skin barrier and IL-17 signaling pathway.Results By using databases,180 active components of Yizhu Wendan Decoction were obtained.Combined with GEO database microarrays related to eczema(GSE6012 and GSE57225),8 potential targets of Yizhu Wendan Decoction in the treatment of eczema were obtained.KEGG enrichment pathway mainly involved IL-17 signaling pathway,lipid and atherosclerotic,TNF signaling pathway,fluid shear stress and atherosclerotic,etc.When Yizhu Wendan Decoction freeze-dried powder concentration was 100 μg/mL,cell viability was the strongest.Yizhu Wendan Decoction could significantly inhibit the mRNA expressions of chemokines and inflammatory factors CCL17,CCL22,IL-1β,TNF-α,IL-6,IFN-γ,and increase the mRNA expression of IL-4 in eczema.It promoted the proliferation of HaCaT cells,increased the protein expression of Bcl-2,and reduced the protein expressions of Bad and Cleaved Caspase-3,thus inhibiting HaCaT cells apoptosis;promoted the protein expressions of FLG and LOR,and reduced the expression of MMP9,MMP1,CCL2,FOSL1,IL-17RA proteins in IL-17 signaling pathway.Conclusion Yizhu Wendan Decoction can treat eczema with multiple components,multiple pathways and multiple targets,promote the proliferation of HaCaT cells,inhibit their apoptosis,and restore the skin barrier.Its mechanism may be related to inhibiting the activation of IL-17 signaling pathway.

OBJECTIVE To analyze the occurrence characteristics and risk factors of adverse drug reactions(ADR)of gemcitabine for injection in national centralized volume-based procurement(hereinafter referred to as"centralized procurement"),and provide reference for clinical safe drug use.METHODS A retrospective study was conducted to collect the relevant case reports of gemcitabine for injection reported to the National Adverse Drug Reaction Monitoring System by Inner Mongolia Autonomous Region from January 2022 to December 2023;basic information of patients,drug use status,patient outcomes,rational drug use and other information were collected,and the occurrence characteristics of ADRs with leukopenia,myelosuppression,neutropenia,thrombocytopenia and liver dysfunction were analyzed.Univariate analysis and multivariate Logistic regression were used to analyze the correlation of gender,age,combination of antitumor drugs,original malignant tumor and drug dose with ADR.RESULTS A total of 315 cases reports(315 patients)of gemcitabine-induced ADR were included in this study,with a male-to-female ratio of 1.42∶1 and age of(61.17±9.13)years.The primary malignant tumor was pancreatic cancer(73 cases,23.17%).Leukopenia,myelosuppression and nausea were the most common ADR,followed by neutropenia,thrombocytopenia,liver dysfunction and so on.The severity grade of ADR was mainly 1-2,and the outcome of most ADR was good.Multivariate Logistic regression analysis showed that combination of antitumor drugs was a risk factor for myelosuppression and neutropenia(RR=2.154,95%CI:1.218-3.807,P=0.008;RR=3.099,95%CI:1.240-7.744,P=0.016);gender(female)was a risk factor for leukopenia and liver dysfunction(RR=0.508,95%CI:0.302-0.853,P=0.010;RR=0.301,95%CI:0.102-0.887,P=0.029).In terms of drug use rationality,there were 143 cases(45.40%)of drug use in accordance with the indications of the label,and 172 cases(54.60%)of off-label drug use.Among them,the primary malignant tumors were bladder cancer,bile duct cancer and ovarian cancer,which ranked the top three off-label drug use.CONCLUSIONS The ADR caused by gemcitabine in Inner Mongolia is mainly in the blood and digestive systems.The severity of ADRs is mainly classified as 1-2 levels,and most ADRs have good outcomes.Gender(female)and combination medication are risk factors for gemcitabine-induced ADR.Appropriate chemotherapy regimen should be selected according to the patient's condition and physical condition,and ADR monitoring in blood and digestive systems should be strengthened during medication of gemcitabine.

Objective:To explore the research hotspots and effective promotion paths of post market surveillance and supervise of medical consumables with non-active medical devices.Methods:Data mining methods were used to collect related journal literatures and documents from the websites of China regulatory institutions and the China National Knowledge Infrastructure(CNKI),order sub item data of medical device adverse event reports,extract the MeSH element words of literatures and documents,perform bibliometric analysis and visual display.Results:The number of medical devices adverse event reports in China has been increasing year by year,reaching 694 866 in 2022,in the four statistical years from 2019 to 2022,the number of reports on non-active medical devices and IVD reagents also showed a parallel increasing trend,accounting for about 65.00% of the total number of adverse event reports on medical devices in the year.The bibliometric analysis of journal literature shows that research in this field has received varying degrees of participation from regulatory institutions,universities,medical institutions,and enterprises.Regulatory institutions have contributed 46 articles,accounting for 56.79% of the total number of articles,followed by 28 articles from universities.The co-occurrence analysis shows that hot topic is focused in 5 clusters:quality management,risk management,international experiences discussion and adverse event surveillance and re-evaluation and real-world research.China regulatory institutions attach great importance to post market surveillance and supervise,and have issued more than 20 relevant documents since 2006,focusing on specific topics and gradually deepening around safety and effectiveness.Conclusion:The post market surveillance and supervise of medical devices,especially medical consumables based on non-active medical devices,need to be promoted synchronously in three dimensions:regulatory institutions,medical institutions,and enterprises.Universities,research institutes,and industry organizations should work in coordinating to strengthen the collection,identification,and active surveillance of risk signals based on adverse event surveillance,safety evaluation based on risk management,and conducting real-world research,research and develop risk control and corrective and preventive measures.

AIM:The aim of this study was to investigate the effects and mechanism of high fat on autolyso-somes in hepatoma cells before and after serum deprivation.METHODS:HepG2 cells were intervened with 1 mmol/L so-dium oleate to create a cell high-fat model.The gene expression of transcription factor EB(TFEB)in HepG2 cells was knocked down using TFEB small interfering RNA(TFEB-siRNA)transfection reagent.AMP-activated protein kinase(AMPK)inhibitor compound C(CC)was used to inhibit AMPK phosphorylation expression in HepG2 cells.The expres-sion of nuclear and cytoplasmic TFEB,lysosome-associated membrane protein 1(LAMP1),microtubule-associated pro-tein light chain 3(LC3),autophagy adaptor protein(p62),AMPK,and p-AMPK proteins in each group was analyzed through Western blot experiments.Lipid metabolism and liver function damage in each group were analyzed using total cholesterol(TC),triglycerides(TG),low-density lipoprotein cholesterol(LDL-C),alanine aminotransferase(ALT),and aspartate aminotransferase(AST)assay kits.The accumulation of lipid droplets in each group of cells was analyzed through oil red O staining.RESULTS:(1)Sodium oleate intervention resulted in a concentration-dependent decrease in the protein expression levels of LAMP1,LC3-Ⅱ/LC3-Ⅰ,and nuclear TFEB,while increasing the protein expression level of p62(P＜0.01).(2)Compared to the NC group,the sodium oleate group showed decreased expression of LAMP1,LC3-Ⅱ/LC3-Ⅰ,nuclear TFEB,and AMPK phosphorylation levels,with an increase in p62 expression.Compared to the sodium oleate group,the sodium oleate+serum deprivation combined intervention group showed increased nuclear TFEB,LAMP1,LC3-Ⅱ/LC3-Ⅰ,AMPK phosphorylation levels,and decreased p62 expression levels(P＜0.05).(3)The levels of TC,TG,LDL-C,ALT,and AST were increased in the sodium oleate group compared to the NC group.Serum deprivation reduced the number of lipid droplets induced by sodium oleate in HepG2 cells and decreased the levels of TC,TG,LDL-C,ALT,and AST compared to the sodium oleate group(P＜0.05).(4)Knockdown of TFEB did not result in significant changes in the levels of nuclear TFEB,LAMP1,LC3-Ⅱ/LC3-Ⅰ,p62,TC,TG,LDL-C,ALT and AST compared to the so-dium oleate group.(5)Inhibition of AMPK phosphorylation did not result in significant changes in the levels of nuclear TFEB,LAMP1,LC3-Ⅱ/LC3-Ⅰ,p62,and AMPK phosphorylation in the sodium oleate+serum deprivation group com-pared to the sodium oleate group.CONCLUSION:Serum deprivation improves sodium oleate-induced lipid metabolism damage in HepG2 cells through the autophagolysosome pathway mediated by AMPK-TFEB.