Objective To analyze the infection status and epidemic trends of soil-borne nematode infections in Yubei, Chongqing City, in 2010,2021, and 2022. Methods The local populations from four survey sites of four towns in 2010 and five sites of five towns in 2021 and 2022 were surveyed regarding their basic information using a unified form. Fecal samples of the participants were collected and tested for soil-borne nematode infections using the modified Kato-Katz thick smear method. Results In 2010, 2 049 participants were surveyed, followed by 1 000 participants in 2021 and 2022. The overall prevalence of parasitic infections declined significantly from 3.86% to 0.20%. In 2010, soil-transmitted nematode included hookworms(3.81%) and roundworms(0.29%). In 2021, the infection rates of roundworms and hookworms were 1.70% and 0.10% respectively. Notably, only Ascaris was identified in 2022(0.20%). The≥60 age group consistently exhibited the highest infection rates across all surveys, followed by the 40-59 age group. The infection rates of males in the three surveys were 3.31%,1.92%, and 0.20% respectively, and those of females were 4.37%, 1.46%, and 0.20% respectively. There was no statistically significant difference in the infection rates between males and females. Educational attainment was inversely associated with infection; in 2010, the highest prevalence was observed among those with primary education or below, whereas in 2021, illiterate or semi-literate individuals showed the highest susceptibility. The occupational distribution of infections in 2010 indicated that retirees (8.33%), farmers(4.86%), and homemakers or unemployed individuals(3.45%)were the most affected. However, in 2021 and 2022, farmers emerged as the predominant occupational group with soil-transmitted nematode infections. Conclusions The infection rate of soil-borne nematodes showed a decreasing trend in Yubei, and the infection species changed from hookworms in 2010 to Ascaris in 2022. Farmers, the elderly, and people with low education levels should continue to be the focus of preventive and control efforts.

Objective To analyze esophageal cancer burden trends in China from 1990 to 2021, further project the burden from 2022 to 2050. Methods The time trends of standardized incidence, standardized mortality, and standardized disability-adjusted life years (DALYs) rate of esophageal cancer in China from 1990 to 2021 using data from the Global Burden of Disease 2021 were analyzed using the estimated annual percentage change (EAPC). The disease burden of esophageal cancer in China from 2022 to 2050 was predicted using the Bayesian age–period–cohort model combined with sensitivity analysis and model calibration. Results In China, the ASIR of esophageal cancer increased from 17.637 per 10⁵ in 1990 to 22.548 per 10⁵ in 2021 (EAPC=0.55, 95%CI: 0.38–0.71). The ASMR rose from 17.920 per 10⁵ in 1990 to 20.836 per 10⁵ in 2021 (EAPC=0.21, 95%CI: 0.02–0.39). The age-standardized DALYs decreased from 497.437 per 10⁵ in 1990 to 484.884 per 10⁵ in 2021 (EAPC=−0.39, 95%CI: from −0.59 to −0.2). Among individuals aged 45 years and above, the proportion of esophageal cancer cases increased from 93.32% in 1990 to 97.56% in 2021, and the proportion of deaths in this age group rose from 90.44% in 1990 to 98.22% in 2021. For individuals aged 40 years and above, the proportion of DALYs attributed to esophageal cancer increased from 95.29% in 1990 to 98.29% in 2021. Among people aged 20 years and above, the incidence rate of esophageal cancer showed a downward trend in all age groups. In particular, the 35–39 year age group exhibited the most significant decline (EAPC=−3.74, 95%CI: from −4.22 to −3.25). Among individuals aged 20 years and above, the 70+ year age group had the smallest decrease in ASMR and age-standardized DALYs. By 2050, the standardized prevalence, standardized incidence, standardized mortality, and standardized DALY rate of esophageal cancer in China were predicted to decrease to 25.1/10⁵, 6.4/10⁵, 14.2/10⁵, and 12.0/10⁵, respectively. Conclusion From 1990 to 2021, the ASIR and ASMR of esophageal cancer in China showed an upward trend, whereas the age-standardized DALY rate exhibited a slow downward trend. Although the incidence of esophageal cancer showed a downward trend across all the age groups from 20 years and above, the overall standardized rate exhibited an upward trend due to factors such as population aging. By 2050, the burden of esophageal cancer in China, including prevalence, incidence, mortality, and DALYs, will decline. The population aged 45 years and above is the core group affected by esophageal cancer and should be prioritized for prevention and control.

Objective:Non-targeted metabolomics based on ultra-performance liquid chromatography mass spectrometry(UPLC-MS)platform was used to study the metabolic characteristics of multiple myeloma(MM)patients,and explore potential new metabolic mechanisms affecting the occurrence and development of MM.Methods:The study enrolled 42 MM patients,including 21 newly diagnosed(ND)patients and 21 relapsed patients(RP),and 21 age-sex matched healthy controls(HC)as subjects.UPLC-MS analysis platform was used to detect small molecule metabolites in serum of the subjects.Principal component analysis(PCA),orthogonal partial least-squared discriminant analysis(OPLS-DA)and 200 random permutations were used to analyze the differences of metabolic profiles among groups.Identification of differential metabolites was completed in the Human Metabolome Database(HMDB)and abnormal metabolic pathway analysis was performed using the KEGG database.Results:The metabolic profiles of MM patients and healthy controls were significantly separated in both PCA and OPLS-DA models,while the metabolic profiles of newly diagnosed and relapsed MM patients were significantly separated only in OPLS-DA model.In ND vs HC,RP vs HC and RP vs ND cohorts,19,24 and 18 differential metabolites were identified respectively,mainly sphingolipids,glycerophospholipids and fatty acyl amino acids.The metabolic pathway abnormalities in newly diagnosed and relapsed MM patients were mainly manifested in sphingolipid metabolism and glycerophospholipid metabolism compared to healthy controls.Compared with newly diagnosed MM patients,relapsed MM patients were mainly manifested in sphingolipid metabolism and ether-lipid metabolism.Conclusion:The metabolic profiles of MM patients are significantly different from those of healthy people.Relapsed MM patients and newly diagnosed MM patients have similar metabolic profiles,but there are still some differences.Glycerophospholipid metabolism,sphingolipid meta-bolism and ether-lipid metabolism may play important biological roles in the occurrence and development of MM.

Objective:To investigate the changes and effects of the Wnt/β-catenin pathway during hypoxia-reoxygenation in human renal tubular epithelial(HK-2)cells.Methods:HK-2 cells were randomly divided into control group(Control),model group(Model),model+interference empty vector group(Model+NC),and model+interference group(Model+Si-β-catenin).Cells in the control group were cultured routinely.Cells in the Model group were intervened with hypoxia for 6 hours and reoxygenation for 2 hours to construct a hypoxia-reoxygenation model.HK-2 cells in the Model+NC group and the Model+Si-β-catenin group were transfected with β-catenin interference empty vector and β-catenin interference vector respectively,and then a hypoxia-reoxygenation model was constructed.After corresponding interventions,cells were collected.The apoptosis of cells in each group was detected by flow cytometry.The expression of matrix metalloproteinase-7(MMP-7)and α-smooth muscle actin(α-SMA)was detected by immunofluorescence.The expression level of Wnt pathway-related proteins was detected by Western blotting.Results:Compared with that in the control group,the apoptosis rate of cells in the Model group was significantly up-regulated,and there was no significant difference in cell apoptosis between the Model group,the Model+NC group and the Model+Si-β-catenin group.The results of WB detection showed that there was no significant difference in the expression of GSK-3β protein in the cells among the control group,the model group,the model+NC group and the model+Si-β-catenin group.Compared with that in the control group,the expression of p-GSK-3β protein in the Model group was significantly up-regulated,while there was no significant difference in the expression of p-GSK-3βprotein between the Model group,the Model+NC group and the Model+Si-β-catenin group.The results of immunofluorescence detection showed that MMP-7 and α-SMA in the Model group were significantly increased compared with that in the control group,while there was no significant difference between the Model group and the Model+NC group.Compared with the Model+NC group,MMP-7 and α-SMA in the Model+Si-β-catenin group were significantly down-regulated.Conclusion:The Wnt/β-catenin pathway is activated in HK-2 cells during hypoxia-reoxygenation and promotes the expression of fibrosis-related proteins.Inhibiting β-catenin can improve its fibrosis induction level.

Objective:To investigate the changes and effects of the Wnt/β-catenin pathway during hypoxia-reoxygenation in human renal tubular epithelial(HK-2)cells.Methods:HK-2 cells were randomly divided into control group(Control),model group(Model),model+interference empty vector group(Model+NC),and model+interference group(Model+Si-β-catenin).Cells in the control group were cultured routinely.Cells in the Model group were intervened with hypoxia for 6 hours and reoxygenation for 2 hours to construct a hypoxia-reoxygenation model.HK-2 cells in the Model+NC group and the Model+Si-β-catenin group were transfected with β-catenin interference empty vector and β-catenin interference vector respectively,and then a hypoxia-reoxygenation model was constructed.After corresponding interventions,cells were collected.The apoptosis of cells in each group was detected by flow cytometry.The expression of matrix metalloproteinase-7(MMP-7)and α-smooth muscle actin(α-SMA)was detected by immunofluorescence.The expression level of Wnt pathway-related proteins was detected by Western blotting.Results:Compared with that in the control group,the apoptosis rate of cells in the Model group was significantly up-regulated,and there was no significant difference in cell apoptosis between the Model group,the Model+NC group and the Model+Si-β-catenin group.The results of WB detection showed that there was no significant difference in the expression of GSK-3β protein in the cells among the control group,the model group,the model+NC group and the model+Si-β-catenin group.Compared with that in the control group,the expression of p-GSK-3β protein in the Model group was significantly up-regulated,while there was no significant difference in the expression of p-GSK-3βprotein between the Model group,the Model+NC group and the Model+Si-β-catenin group.The results of immunofluorescence detection showed that MMP-7 and α-SMA in the Model group were significantly increased compared with that in the control group,while there was no significant difference between the Model group and the Model+NC group.Compared with the Model+NC group,MMP-7 and α-SMA in the Model+Si-β-catenin group were significantly down-regulated.Conclusion:The Wnt/β-catenin pathway is activated in HK-2 cells during hypoxia-reoxygenation and promotes the expression of fibrosis-related proteins.Inhibiting β-catenin can improve its fibrosis induction level.

Objective This study aimed to develop an automated method for syndrome element differenti-ation in Traditional Chinese Medicine(TCM).Methods We first constructed and trained an Instruction-tuned Multi-Task TCM text embedding model(Instr-MT-TCM)using four distinct TCM task datasets,including domain knowledge,synonymous terminology,syndrome differentiation and treatment,and TCM case labels.Subsequently,five TCM diagnostics experts holding master's degrees or higher were organized to screen a real-world TCM case dataset and annotate symptoms and signs.The purpose was to evaluate the F1-score of the proposed method—the combination of Instr-MT-TCM and a Large Language Model(LLM)—by comparing its performance against the manual annotation result on the syndrome element differentiation task.Finally,to validate its feasibility in real-world clinical settings,the method was applied to 48 prostate cancer cases to calculate the syndrome element scores.Results The Instr-MT-TCM model showed rapid performance improvement in its early training phase,achieving a Recall@1(R@1)of 0.848.Experts curated a dataset of 1,793 real-world clinical cases,covering 34 common diseases and 66 syndrome patterns.In the syndrome element differentiation task,the collaborative framework of LLM and Instr-MT-TCM achieved a mean F1-score of 0.927,outperforming the 0.512 from manual annota-tion.The syndrome element analysis revealed that the predominant elements of disease nature were fire(heat)and yin deficiency,while the main elements of disease location were bladder and kidney.Conclusion This study proposes and validates a novel method for automated TCM syndrome element dif-ferentiation based on the synergy between LLM and our custom Instr-MT-TCM model.Achieving a high F1-score(0.927)on real-world data,the method demonstrates excellent accuracy and generalization ability.Its application in prostate cancer analysis highlights its significant clinical potential,offering effective technical support,and a new research direction for intelligent TCM syndrome element differentiation.

Objective:This study empirically analyzes the relationship between outpatient and inpatient services under the impact of healthcare payment reform,and evaluates the effects of the reform.Methods:Data from healthcare services and basic medical insurance payments in eight districts of Jinhua City from 2020 to 2022 were used.A fixed-effects model for outpatient and inpatient services was constructed to analyze the impact of healthcare payment reforms and outpatient services on inpatient services.Results:The DRG-based payment had a significant positive effect on inpatient visits and a significant negative effect on employee basic medical insurance inpatient costs.The"capitation+APG"outpatient payment policy had a significant negative effect on inpatient visits and a significant negative effect on residents'basic medical insurance inpatient costs.The interaction between outpatient payment and outpatient visits had a significant negative effect on employee basic medical insurance inpatient visits,while the interaction between outpatient payment and outpatient costs had a significant negative effect on both overall and employee inpatient costs.Conclusions:The DRG payment reform led to an increase in inpatient visits and a reduction in employee basic medical insurance inpatient costs.The outpatient"capitation+APG"payment reform reduced inpatient visits and lowered residents'basic medical insurance inpatient costs,thereby slowing down the complementary effect between outpatient and inpatient services.

Objective To analyze the results of newborn screening for galactocerebrosidase(GALC)gene and enzyme activity and pro-vide a basis for the clinical diagnosis and genetic counseling of Krabbe disease.Methods The dried blood samples on filter paper from 12 744 newborns born at Nanjing Women and Children's Healthcare Hospital from March 18,2022 to December 31,2022 were collect-ed.The pathogenic variant sites of GALC gene were detected using the chip capture next-generation sequencing technology and Sanger sequencing was used for family validation.The tandem mass spectrometry was used to determine the enzyme activity of GALC in dried blood spots.The comparison of GALC enzyme activity between the carriers with GALC variants and negative group was conducted using the independent sample t-test.Results Among the 12 744 newborns,315 were identified as the carriers with GALC variants,with a carrier rate of 1/40.The most common variant was c.1901T＞C(269 cases,1/47),followed by c.1592G＞A(12 cases,1/1 062).Four newborns(P1-P4)were found to have two pathogenic variant sites and 2 cases were homozygous variants of c.1901T＞C.Family validation showed that the two variant sites in the four newborns were inherited from their parents,leading to a diagnosis of Krabbe dis-ease.Meanwhile,the family validation of the potential P2 patient's sister revealed that they had the same genotype,and the diagnosis of Krabbe disease was made.A preliminary threshold of 0.42 μmol/(L·h)for the enzyme activity of GALC detected by the tandem mass spectrometry was established based on 200 newborn samples.The GALC enzyme activities of 4 children with Krabbe disease were 0.74,0.21,0.17,and 0.29 μmol/(L·h),respectively.The GALC enzyme activity of the P2 patient's sister was 0.28 μmol/(L·h).Except for the P1 patient,the GALC enzyme activities of the P2,P3,and P4 patients and the P2 patient's sister were reduced,indica-ting a positive result.Conclusion The carrier rate of pathogenic variants in the GALC gene is relatively high,with the hotspot mutation being c.1901T＞C.The estimated prevalence of Krabbe disease is 1/3 186.The screening strategy using genetic testing as the primary screening and enzyme activity testing as the second screening can effectively improve the diagnostic efficiency of Krabbe disease,provi-ding a reference for the clinical diagnosis and genetic counseling of Krabbe disease.

Objective:Non-targeted metabolomics based on ultra-performance liquid chromatography mass spectrometry(UPLC-MS)platform was used to study the metabolic characteristics of multiple myeloma(MM)patients,and explore potential new metabolic mechanisms affecting the occurrence and development of MM.Methods:The study enrolled 42 MM patients,including 21 newly diagnosed(ND)patients and 21 relapsed patients(RP),and 21 age-sex matched healthy controls(HC)as subjects.UPLC-MS analysis platform was used to detect small molecule metabolites in serum of the subjects.Principal component analysis(PCA),orthogonal partial least-squared discriminant analysis(OPLS-DA)and 200 random permutations were used to analyze the differences of metabolic profiles among groups.Identification of differential metabolites was completed in the Human Metabolome Database(HMDB)and abnormal metabolic pathway analysis was performed using the KEGG database.Results:The metabolic profiles of MM patients and healthy controls were significantly separated in both PCA and OPLS-DA models,while the metabolic profiles of newly diagnosed and relapsed MM patients were significantly separated only in OPLS-DA model.In ND vs HC,RP vs HC and RP vs ND cohorts,19,24 and 18 differential metabolites were identified respectively,mainly sphingolipids,glycerophospholipids and fatty acyl amino acids.The metabolic pathway abnormalities in newly diagnosed and relapsed MM patients were mainly manifested in sphingolipid metabolism and glycerophospholipid metabolism compared to healthy controls.Compared with newly diagnosed MM patients,relapsed MM patients were mainly manifested in sphingolipid metabolism and ether-lipid metabolism.Conclusion:The metabolic profiles of MM patients are significantly different from those of healthy people.Relapsed MM patients and newly diagnosed MM patients have similar metabolic profiles,but there are still some differences.Glycerophospholipid metabolism,sphingolipid meta-bolism and ether-lipid metabolism may play important biological roles in the occurrence and development of MM.

Objective To analyze the spatiotemporal evolution patterns of mortality and disease burden of smoking-related prostate cancer(PCa)from 1990 to 2021 and to predict the future trends,so as to provide evidence-based insights for optimizing regional PCa prevention policies and smoking cessation interventions.Methods Based on data from the Global Burden of Disease Study(GBD)2021,annual mortality,disability-adjusted life years(DALYs),years of life lost(YLLs),years lived with disability(YLDs),and age-standardized rates(ASRs)for PCa across 204 countries and 21 regions from 1990 to 2021 were obtained.Estimated annual percentage change(EAPC)was used to assess the disease burden and mortality of smoking-related PCa across global,regional,socio-demographic index(SDI),and age groups.An autoregressive integrated moving average(ARIMA)model was employed to predict trends in these indicators up to 2050.Results In 2021,smoking-related PCa caused 12 992 global deaths,a 30.74％increase compared to 1990.However,from 1990 to 2021,the global age-standardized mortality rate(ASMR),age-standardized DALYs rate(ASDR),age-standardized YLDs rate(ASYR),and age-standardized YLLs rate(ASLR)for smoking-related PCa declined,with EAPCs being-1.43(95％CI:-1.77--1.12),-1.39(95％CI:-1.66--1.12),-0.41(95％CI:-0.67--0.15)and-1.51(95％CI:-1.78--1.23).In 2021,the region with the highest number of deaths from PCa was Asia(4663 deaths),followed by Europe(4647 deaths),and Oceania had the lowest number of deaths(9 deaths).From 1990 to 2021,the mortality rate of PCa in most regions generally showed a downward trend.High SDI regions showed the most significant declines in ASMR,ASDR,and ASLR[EAPCs:-3.17(95％CI:-3.31--3.02),-2.91(95％CI:-3.02--2.83),and-3.22(95％CI:-3.35--3.09)].For ASYR,only high-SDI regions exhibited a decline,whereas low-middle-SDI regions saw the largest increase[EAPC:1.26(95％CI:1.19-1.33)].In 2021,the number of PCa deaths was more concentrated in the age groups of 70-74 and 75-79,with 2312 and 2278 deaths,respectively.From 1990 to 2021,ASMR,ASDR,and ASLR showed an overall downward trend,EAPC were-2.84(95％CI:-3.21--1.83),-2.77(95％CI:-3.13--1.75),and-2.84(95％CI:-3.14--1.71),with the most significant decline observed in individuals aged 35-39.Projections to 2050 indicated continuing declines in all burden metrics,which would stabilize in later years.Conclusion Despite a global decline in smoking-related PCa burden over the past three decades,significant regional disparities persist,with low-and middle-income countries facing ongoing challenges.Implementing stricter tobacco control policies is critical to mitigating smoking-related health risks.