OBJECTIVES: To investigate the role of long noncoding RNA (lncRNA) HClnc1 in regulating proliferation, invasion, and migration of hepatocellular carcinoma (HCC) cells and the regulatory mechanism. METHODS: HClnc1 expression levels in liver cancer tissues were analyzed using data from the TCGA database. BrdU incorporation, plate cloning, and transwell assays were employed to examine the effects of HClnc1 silencing/overexpression and/or ODC1 silencing on proliferation, invasion, and migration of liver cancer cells. The effects of HClnc1 silencing on ODC1 protein and mRNA expression in the liver cancer cells were analyzed using qRT-PCR and Western blotting. The activity of ODC1 promoter was analyzed using a dual luciferase reporter gene assay. Pull-down experiment, mass spectrometry analysis, and chromatin immunoprecipitation (ChIP) assay were used for identification of HClnc1-binding proteins and their interactions. Protein interactions with the ODC1 promoter region and their binding efficiencies were investigated using RNA interference and ChIP analysis. RESULTS: HClnc1 was significantly overexpressed in HCC tissues. In liver cancer cells, HClnc1 silencing significantly inhibited cell proliferation, invasion, and migration, while HClnc1 overexpression promoted these behaviors. ODC1 silencing also suppressed malignant behaviors of liver cancer cells, and counteracted the effects of HClnc1 overexpression. Interference of HClnc1 obviously inhibited ODC1 promoter activity. RBBP5 and KAT2B proteins were identified to bind simultaneously with HClnc1. HClnc1 overexpression upregulated ODC1 protein expression, while interference of RBBP5 or KAT2B downregulated ODC1 protein expression and blocked HClnc1-induced upregulation of ODC1 protein. Both RBBP5 and KAT2B could directly bind to ODC1 promoter region; knocking out KAT2B or RBBP5 reduced the binding efficiency, while knocking out HClnc1 reduced the binding of both RBBP5 and KAT2B to ODC1 promoter region. CONCLUSIONS By targeting the RBBP5/KAT2B epigenetic modification complex, HClnc1 increases ODC1 promoter activity to enhance ODC1 transcription and promote the proliferation and migration of liver cancer cells.
Humans ; Cell Proliferation ; RNA, Long Noncoding/genetics* ; Cell Movement ; Liver Neoplasms/metabolism* ; Cell Line, Tumor ; Carcinoma, Hepatocellular/genetics* ; Promoter Regions, Genetic ; Gene Expression Regulation, Neoplastic

ObjectiveTo investigate the epidemiological characteristics of hand, foot, and mouth disease (HFMD) in Baoshan District of Shanghai from 2008 to 2023, and to provide scientific evidence for surveillance and standardized management of HFMD. MethodsCase data for HFMD reported in the China Disease Control and Prevention Information System from 2008 to 2023 were collected. Descriptive epidemiological methods were used to analyze the population characteristics, and the Joinpoint regression models were applied to assess the temporal trends of HFMD in Baoshan District. ResultsA total of 43 853 HFMD cases were reported from 2008 to 2023 in Baoshan District, with a male-to-female ratio of 1.50∶1. The majority of cases were children, among which scattered children and preschool children accounted for 54.67% and 36.58%, respectively, with 88.00% occurring in children under 5 years old. The average annual incidence rate was147.22/100 000 individuals. The pathogen detection rate in 2018 was 58.60% (109/186). Prior to 2020, CoxA16 was the predominant strain, while EV71 was not detected after 2019. ConclusionThe incidence of HFMD in Baoshan District of Shanghai was influenced by multiple factors including the inclusion in the notifiable infectious disease surveillance system, the introduction of EV71 vaccination, and the COVID-19 pandemic timeline. Populations characterized by highly mobility and frequent external contacts were at high risk for HFMD in Baoshan District. The predominant circulating strains had shifted sequentially from EV71 and CoxA16 to CoxA6.

Objective To explore the risk factors of cognitive dysfunction in patients with sepsis and constructing a predictive model.Methods A total of 102 patients treated in the Department of this hospital from April 2021 to April 2024 were selected as the research subjects.According to the scores of the Mini-Men-tal State Examination(MMSE)three months after discharge,the patients were divided into the cognitive im-pairment group and the non-cognitive impairment group.Demographic data,critical illness-related scores and laboratory indicators of the patients were collected.Univariate analysis and multivariate logistic regression were used to analyze the risk factors for cognitive impairment in patients with sepsis.A nomogram model was constructed and its performance was verified through internal data.Results According to the MMSE scores,there were 60 patients were divided into the cognitive impairment group and 42 patients into the non-cognitive impairment group.The results of logistic regression analysis showed that age,educational level,the time of hospital stay,total hospitalization cost,chronic diseases,APACHEⅡ score,SOFA score,WBC,use of vasoac-tive drugs,indwelling urinary catheter,opening of artificial airway,medical devices,and clinical conditions were influencing factors for the occurrence of cognitive impairment(P＜0.05).The area under the receiver operating characteristic curve of the nomogram model for predicting the occurrence of cognitive dysfunction was 0.883.The predicted probability of the occurrence of cognitive impairment was highly similar to the actu-al situation,indicating that the predictive model had good discrimination and accuracy.Conclusion The nomo-gram risk model can predict the incidence of cognitive impairment in sepsis patients relatively well,which is beneficial to the early identification,early evaluation,early intervention and treatment of high-risk groups.

OBJECTIVE To clarify the components of volatile oil in branches and leaves of Rhododendron anthopogonoides, Rhododendron capitatum, Rhododendron thymifolium and Rhododendron przewalskii. METHODS The total volatile oil in leaves and branches of these plants were obtained by supercritical CO2 extraction. After that, the chemical composition of the total volatile oil was analyzed and identified by GC-MS, and the contents of different parts and varieties were compared. RESULTS The results showed that the highest oil yield of leaves was Rhododendron thymifolium(6.97%), and the highest oil yield of branches was Rhododendron anthopogonoides(20.53%). Thirty-five, eighty, fifty-eight and forty compounds were detected in the branch oil of Rhododendron anthopogonoides, Rhododendron capitatum, Rhododendron thymifolium and Rhododendron przewalskii respectively, among which Rhododendron capitatum was rich in compounds. Forty-eight, fifty-seven, sixty-two and fifty compounds were detected in the leaf oil, among which the compounds of Rhododendron anthopogonoides were the richest. Among the detected components, squalene(34.92%, 26.90%) was the highest content in the branches and leaves of Rhododendron anthopogonoides. 1-Eicosanol(26.79%) was the highest content in the branch oil of Rhododendron capitatum, and octadecyl acetate(42.32%) was the highest content in the leaf oil. The highest content of bisabola-3,10-diene-2-one(34.66%, 28.20%) was found in the branches and leaves of Rhododendron thymifolium, and 15-oxoETE(38.20%, 40.40%) was the highest content in the branches and leaves of Rhododendron przewalskii. The results showed that the contents of oil in branches and leaves of Rhododendron capitatum were quite different in different parts. In the comparison of different varieties, the compounds with the highest content of four rhododendrons were all different. CONCLUSION According to the difference of the content of active components of different rhododendrons and parts, the appropriate species and parts for purposeful development and utilization should be selected. The research results can provide scientific basis for rational development and utilization of Rhododendron resources.

Objective:Based on the accounting results of total health expenditure in different regions since the 18th National Congress of the Communist Party of China,to analyze the regional disparity and evolution trend of health financing level and financing structure in 2012-2022,so as to provide references for subsequent adjustment and improvement.Methods:Range,standard deviation and coefficient of variation were used to analyze the degree of absolute and relative differences of total regional health expenditure in China and the changing characteristics of regional total health expenditure differences since the New Era(2012-2022).Results:Since 2012,the total health expenditure in various regions has been increasing continuously,and the average annual growth rate of total health expenditure is higher than that of the economy in this region.The relative difference of the proportion of total health expenditure to GDP in 31 provinces has converged in the fluctuation,but the absolute difference is still very large;the relative gap and absolute gap of per capita total health expenditure are expanding;the absolute difference in the proportion of out-of-pocket payments to total health expenditure has narrowed,while the relative difference has gradually narrowed.Conclusion:There are obvious differences in the growth rate of total health expenditure in different regions,so it is suggested that"appropriate growth"and"accurate control of health expenditure"should be carried out in parallel;the regional disparity of health investment in China has not improved,especially the regional disparity of per capita investment level continues to increase,so narrowing the regional disparity is a long-term task.The gap of regional financing structure has converged,but the gap is still large.

Objective To construct a usability scale for smart hospital platforms based on Quality of Experience(QoE)theory,and provide scientific measurement tool for the construction,operation,and improvement of smart hospitals.Method Literature review,focus meeting method,and pre survey were used to screen and revise the scale items,forming a formal scale.Using convenience sampling method,1 000 users from 8 smart hospital platforms in Shandong Province were selected as the research subjects to evaluate the reliability and validity of the scale.Result The availability scale of the smart hospital platform includes 6 dimensions and 24 items.Exploratory factor extraction identified 6 common factors,with a cumulative variance contribution rate of 64.045%.The overall Cronbach's with a coefficient of 0.941 for 6 dimensions.The coefficient is between 0.782 and 0.963,and the retest reliability is 0.967.The Average Standardized Content Validity Index is 0.972,and the Item-level Content Validity Index is between 0.86 and 1.00.The correlation coefficient between the six dimensions of the scale and the System Usability Scale is 0.606-0.653,and the overall correlation coefficient is 0.647.Conclusion The usability scale of the smart hospital platform developed based on QoE theory has good reliability and validity,and can be used to measure the user experience of the smart hospital platform.

Objective:Based on the accounting results of total health expenditure in different regions since the 18th National Congress of the Communist Party of China,to analyze the regional disparity and evolution trend of health financing level and financing structure in 2012-2022,so as to provide references for subsequent adjustment and improvement.Methods:Range,standard deviation and coefficient of variation were used to analyze the degree of absolute and relative differences of total regional health expenditure in China and the changing characteristics of regional total health expenditure differences since the New Era(2012-2022).Results:Since 2012,the total health expenditure in various regions has been increasing continuously,and the average annual growth rate of total health expenditure is higher than that of the economy in this region.The relative difference of the proportion of total health expenditure to GDP in 31 provinces has converged in the fluctuation,but the absolute difference is still very large;the relative gap and absolute gap of per capita total health expenditure are expanding;the absolute difference in the proportion of out-of-pocket payments to total health expenditure has narrowed,while the relative difference has gradually narrowed.Conclusion:There are obvious differences in the growth rate of total health expenditure in different regions,so it is suggested that"appropriate growth"and"accurate control of health expenditure"should be carried out in parallel;the regional disparity of health investment in China has not improved,especially the regional disparity of per capita investment level continues to increase,so narrowing the regional disparity is a long-term task.The gap of regional financing structure has converged,but the gap is still large.

Objective To construct a usability scale for smart hospital platforms based on Quality of Experience(QoE)theory,and provide scientific measurement tool for the construction,operation,and improvement of smart hospitals.Method Literature review,focus meeting method,and pre survey were used to screen and revise the scale items,forming a formal scale.Using convenience sampling method,1 000 users from 8 smart hospital platforms in Shandong Province were selected as the research subjects to evaluate the reliability and validity of the scale.Result The availability scale of the smart hospital platform includes 6 dimensions and 24 items.Exploratory factor extraction identified 6 common factors,with a cumulative variance contribution rate of 64.045%.The overall Cronbach's with a coefficient of 0.941 for 6 dimensions.The coefficient is between 0.782 and 0.963,and the retest reliability is 0.967.The Average Standardized Content Validity Index is 0.972,and the Item-level Content Validity Index is between 0.86 and 1.00.The correlation coefficient between the six dimensions of the scale and the System Usability Scale is 0.606-0.653,and the overall correlation coefficient is 0.647.Conclusion The usability scale of the smart hospital platform developed based on QoE theory has good reliability and validity,and can be used to measure the user experience of the smart hospital platform.

Objective:Based on the accounting results of total health expenditure in different regions since the 18th National Congress of the Communist Party of China,to analyze the regional disparity and evolution trend of health financing level and financing structure in 2012-2022,so as to provide references for subsequent adjustment and improvement.Methods:Range,standard deviation and coefficient of variation were used to analyze the degree of absolute and relative differences of total regional health expenditure in China and the changing characteristics of regional total health expenditure differences since the New Era(2012-2022).Results:Since 2012,the total health expenditure in various regions has been increasing continuously,and the average annual growth rate of total health expenditure is higher than that of the economy in this region.The relative difference of the proportion of total health expenditure to GDP in 31 provinces has converged in the fluctuation,but the absolute difference is still very large;the relative gap and absolute gap of per capita total health expenditure are expanding;the absolute difference in the proportion of out-of-pocket payments to total health expenditure has narrowed,while the relative difference has gradually narrowed.Conclusion:There are obvious differences in the growth rate of total health expenditure in different regions,so it is suggested that"appropriate growth"and"accurate control of health expenditure"should be carried out in parallel;the regional disparity of health investment in China has not improved,especially the regional disparity of per capita investment level continues to increase,so narrowing the regional disparity is a long-term task.The gap of regional financing structure has converged,but the gap is still large.

Objective To construct a usability scale for smart hospital platforms based on Quality of Experience(QoE)theory,and provide scientific measurement tool for the construction,operation,and improvement of smart hospitals.Method Literature review,focus meeting method,and pre survey were used to screen and revise the scale items,forming a formal scale.Using convenience sampling method,1 000 users from 8 smart hospital platforms in Shandong Province were selected as the research subjects to evaluate the reliability and validity of the scale.Result The availability scale of the smart hospital platform includes 6 dimensions and 24 items.Exploratory factor extraction identified 6 common factors,with a cumulative variance contribution rate of 64.045%.The overall Cronbach's with a coefficient of 0.941 for 6 dimensions.The coefficient is between 0.782 and 0.963,and the retest reliability is 0.967.The Average Standardized Content Validity Index is 0.972,and the Item-level Content Validity Index is between 0.86 and 1.00.The correlation coefficient between the six dimensions of the scale and the System Usability Scale is 0.606-0.653,and the overall correlation coefficient is 0.647.Conclusion The usability scale of the smart hospital platform developed based on QoE theory has good reliability and validity,and can be used to measure the user experience of the smart hospital platform.