ObjectiveTo investigate the role and mechanism of podoplanin （PDPN） in hepatic stellate cell （HSC） activation and liver fibrosis. MethodsLiver biopsy samples were collected from 75 patients with chronic hepatitis B who attended Department of Infectious Diseases， Putuo Hospital Affiliated to Shanghai University of Traditional Chinese Medicine， for the first time from September 2019 to June 2022， and RT-PCR and immunohistochemistry were used to measure the expression of PDPN in liver tissue of patients in different stages of liver fibrosis. A total of 12 male C57/BL6 mice were randomly divided into control group and model group. The mice in the model group were given intraperitoneal injection of 10% CCl₄， and those in the control group were injected with an equal volume of olive oil， for 6 weeks. HE staining and Sirius Red staining were used to observe liver histopathological changes； primary mouse liver cells were separated to measure the mRNA expression of PDPN in various types of cells； primary mouse HSCs were treated with PDPN protein， followed by treatment with the NF-‍κB inhibitor BAY11-708， to measure the expression of inflammatory factors in HSCs induced by PDPN. The independent-samples t test was used for comparison of normally distributed continuous data between two groups； a one-way analysis of variance was used for comparison between multiple groups， and the least significant difference t-test was used for further comparison between two groups. The Spearman correlation analysis was used to investigate data correlation. ResultsAs for the liver biopsy samples， there was a relatively low mRNA expression level of PDPN in normal liver， and there was a significant increase in the mRNA expression level of PDPN in liver tissue of stage S3 or S4 fibrosis （all P<0.001）. Immunohistochemical staining showed that PDPN was mainly expressed in the fibrous septum and the hepatic sinusoid， and the PDPN-positive area in S4 liver tissue was significantly higher than that in S0 liver tissue （t=8.892， P=0.001）. In normal mice， PDPN was mainly expressed in the hepatic sinusoid， and there was a significant increase in the expression of PDPN in CCl₄ model mice （t=0.95， P<0.001）， mainly in the fibrous septum. RT-PCR showed a significant increase in the mRNA expression of PDPN in the CCl₄ model mice （t=11.25， P=0.002）. Compared with hepatocytes， HSCs， Kupffer cells， and bile duct endothelial cells， hepatic sinusoidal endothelial cells showed a significantly high expression level of PDPN （F=20.56， P<0.001）. Compared with the control group， the primary mouse HSCs treated by PDPN protein for 15 minutes showed significant increases in the mRNA expression levels of the inflammation-related factors TNFα， CCL3， CXCL1， and CXCR1 （all P<0.05）， and there were significant reductions in the levels of these indicators after treatment with BAY11-7082 （all P<0.05）. ConclusionThere is an increase in the expression of PDPN mainly in hepatic sinusoidal endothelial cells during liver fibrosis， and PDPN regulates HSC activation and promotes the progression of liver fibrosis via the NF-κB signaling pathway.

Objective:To construct a combined radiomics model based on preoperative enhanced computed tomography (CT) examination for predicting microvascular invasion (MVI) in hepatocellular carcinoma (HCC), and provide biological explanations for the radiomics model.Methods:The retrospective cohort study was conducted. The messenger RNA (mRNA) of 424 HCC patients, the clinicopathological data of 39 HCC patients entered into the Cancer Genome Atlas database from its establishment until January 2023, and the clinicopathological data of 53 HCC patients who were admitted to the Gansu Provincial People′s Hospital from January 2020 to January 2023 were collected. The 92 HCC patients were randomly divided into a training dataset of 64 cases and a test dataset of 28 cases with a ratio of 7∶3 based on a random number table method. The CT images of patients in the arterial phase and portal venous phase as well as the corresponding clinical data were analyzed. The 3Dslicer software (version 5.0.3) was used to register the CT images in the arterial phase and portal venous phase and delineate the three-dimensional regions of interest. The original images were preprocessed and the corresponding features were extracted by the open-source software FAE (version 0.5.5). After selecting features using the Least Absolute Shrinkage and Selection Operator, the radiomics model was constructed and the radiomics score (R-score) was calculated. The nomogram was constructed by integrating clinical parameters, imaging features and R-score based on Logistic regression. The gene modules related to radiomics model were obtained and subjected to enrichment analysis by conducting weighted gene co-expression network analysis and correlation analysis. Observation indicators: (1) comparison of clinical characteristics of patients with different MVI properties; (2) establishment of MVI risk model; (3) evaluation of MVI risk model; (4) clustering of gene modules; (5) functional enrichment of feature-correlated gene modules. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was conducted using the independent sample t test. Measurement data with skewed distribution were represented as M(range), and comparison between groups was conducted using the Mann-Whitney U test. Comparison of count data was conducted using the chi-square test. The intra-/inter-class correlation coefficient (ICC) was used to assess the inter-observer consistency of radiomics feature extracted by different observers. ICC >0.75 indicated a good consistency in feature extraction. The Logistic regression model was used for univariate and multivariate analyses. The receiver operating characteristic curve was drawn, and the area under curve (AUC), the decision curve and the calibration curve were used to evaluate the diagnostic efficacy and clinical practicality of the model. Results:(1) Comparison of clinical characteristics of patients with different MVI properties. Of 92 HCC patients, there were 47 cases with MVI-positive and 45 cases with MVI-negative, and there were significant differences in hepatitis, tumor diameter, peritumoral enhancement, intratumoral arteries, pseudocapsule and smoothness of tumor margin between them ( χ2=5.308, 9.977, 47.370, 32.368, 21.105, 31.711, P<0.05). (2) Establishment of MVI risk model. A total of 1 781 features were extrac-ted from arterial and portal venous phases of the intratumoral and peritumoral regions. After feature dimension reduction, 8 radiomics features were selected from arterial and portal venous phases to construct the combined model. Results of multivariate analysis showed that peritumoral enhancement, intratumoral arteries, pseudocapsule, smoothness of tumor margins, and R-score were independent risk factors for MVI in patients with HCC [ hazard ratio=0.049, 0.017, 0.017, 0.021, 2.539, 95% confidence interval ( CI) as 0.005-0.446, 0.001-0.435, 0.001-0.518, 0.001-0.473, 1.220-5.283, P<0.05]. A nomogram model was constructed incorporating peritumoral enhancement, intratumoral arteries, pseudocapsule, smoothness of tumor margins, and R-score. (3) Evaluation of the MVI risk model. The AUC of radiomics model was 0.923 (95% CI as 0.887-0.944) and 0.918 (95% CI as 0.894-0.945) in the training dataset and test dataset, respectively. The AUC of nomogram model, incorpora-ting both the R-score and radiomics features, was 0.973 (95% CI as 0.954-0.988) and 0.962 (95% CI as 0.942-0.987) in the training dataset and test dataset, respectively. Results of decision curve showed that the nomogram had better clinical utility compared to the R-score. Results of calibration curve showed good consistency between the actual observed outcomes and the nomogram or the R-score. (4) Clustering of gene module. Results of weighted gene co-expression network analysis showed that 8 gene modules were obtained. (5) Functional enrichment of feature-related gene modules. Results of correlation analysis showed 4 gene modules were significantly associated with radiomics features. The radiomics features predicting of MVI may be related to pathways such as the cell cycle, neutrophil extracellular trap formation, and PPAR signaling pathway. Conclusions:The combined radiomics model based on preoperative enhanced CT imaging can predict the MVI status of HCC. By obtaining mRNA gene expression profiles associated with radiomics features, a biological interpretation of the radiomics model is provided.

【Objective】 To estimate the prevalence, associated factors and patterns of multimorbidity of non-communicable diseases among adults in Shaanxi Province so as to provide evidence for the prevention and control of non-communicable diseases. 【Methods】 We used the data of adults aged 18 years and older collected in the baseline survey of Shaanxi Project in the Regional Ethnic Cohort Study in Northwest China. Multinomial logistic regression was used to explore the associated factors for multimorbidity. Exploratory factor analysis was used to extract patterns of multimorbidity. 【Results】 The prevalence of multimorbidity was 10.7% among the 44 442 participants. Age increase, being males, urban residence, and being overweight or obesity were positively associated with multimorbidity. Compared with women, men had a higher risk of multimorbidity. The OR and 95% CI was 1.25 (1.12-1.39). The risk of multimorbidity increased with age among adults. Compared with participants aged 18.0-34.9 years, the ORs and 95% CIs of those aged 35.0-44.9, 45.0-54.9, 55.0-64.9, and ≥65.0 years were 4.73 (3.47-6.46), 15.61 (11.60-21.00), 41.39 (30.76-55.70) and 90.04 (66.58-121.77), respectively. The primary multimorbidity patterns among adults in Shaanxi were cardiovascular-metabolic multimorbidity (5.4%), viscero-articular multimorbidity (1.0%), and respiratory multimorbidity (0.3%). 【Conclusion】 More than one in ten adults in Shaanxi Province had multimorbidity, and the predominant pattern of multimorbidity was cardiovascular-metabolic multimorbidity. The prevention and control of non-communicable diseases should be reinforced in middle-aged and older people, males, people living in the urban, and overweight or obese people. More attention should be paid to the prevention and control of cardiovascular-metabolic diseases.

【Objective】 To evaluate the dietary quality with the dietary balance index (DBI_16) and the association between dietary quality and bone mass among middle-aged and elderly people in Gansu Province so as to provide evidence for improving dietary quality and bone health status of Gansu population. 【Methods】 Based on the information of the type and quantity of food intake and the bone mass of middle-aged and elderly people aged 35 years and above collected by the Gansu Project in the Regional Ethnic Cohort Study in Northwest China, DBI_16 was used to evaluate the intake level of cereals, vegetables, fruits, milk, beans, fish and shrimp, eggs and other foods, and the degree of inadequate, excessive and unbalanced dietary intake of the participants. Multiple linear regression was used to evaluate the associations of three component indexes of DBI_16, high bound score (DBI_HBS), low bound score (DBI_LBS), diet quality distance (DBI_DQD), and seven single indexes of DBI_16 with bone mass. 【Results】 Analyses of the dietary and bone mass data of 11,840 participants showed that 44.8% of participants consumed excessive amounts of cereals compared to the dietary recommendation. 96.3%, 90.6%, 90.1%, 71.9%, 95.1% and 60.3% of participants’ intake of vegetables, fruits, milk, soybeans, fish and shrimp, and eggs, respectively, were inadequate. 47.7% participants consumed less than 10 types of food. 2.3% participants’ DBI_LBS levels were appropriate. 54.7% participants’ DBI_HBS levels were appropriate. Only 1.2% participants’ DBI_DQD reached a balanced level. The bone mass level in the study population was (2.5±0.6) kg [(2.8±0.5) kg for men and (2.3±0.5) kg for women]. After adjusting for sociodemographic characteristics, lifestyle, total dietary energy intake and body mass index, DBI_LBS and DBI_DQD were negatively associated with bone mass [β and 95% CI was -0.002 01 (-0.003 62--0.000 40) and -0.001 76 (-0.003 09--0.000 43), respectively]. 【Conclusion】 Dietary intake imbalance is common among middle-aged and elderly people in Gansu Province, and the more severe the dietary intake imbalance, the lower the bone mass level.

Objective To investigate the epidemiological characteristics of major kidney disease deaths and the potential years of life lost among residents in Wuhan from 2014 to 2019, and to provide a scientific basis for the prevention and treatment of kidney diseases. Methods The major kidney diseases deaths among residents in Wuhan during 2014-2019 were collected from the population-based Mortality Surveillance System. The standardized mortality rate and potential years of life lost rate (PYLLR) of major kidney diseases among residents in different ages and genders were calculated, and the epidemiological characteristics and trends were analyzed. Results There were 4 100 deaths (2 380 in male and 1 720 in female) from major kidney diseases among residents in Wuhan between 2014 to 2019, with an age-standardized mortality rate of 6.22/100 000. The mortality rate of major kidney diseases showed an upward trend with the increasing age groups. The age-standardized mortality rate and the age-standardized potential years of life lost rate (SPYLLR) in glomerular disease and tubulo-interstitial diseases were significantly decreased (P＜0.05). The age-standardized mortality rate of the kidney failure was significantly increased (P＜0.05), especially in the male (APC=25.10% , P＜0.05). Conclusion From 2014 to 2019, there was no significant change in the overall mortality rate of major kidney diseases among residents in Wuhan. The death burden and disease burden of glomerular diseases and tubulo-interstitial diseases were significantly decreased, while the mortality rate of male kidney failure was significantly increased, indicating the need for targeted prevention and treatment of kidney diseases.

Objective:To explore the coverage of influenza and pneumonia vaccination and factors influencing the vaccination in children.Methods:A cross-sectional questionnaire survey was conducted in children's parents in Beijing and Gansu by using two-stage cluster-sampling to investigate the influenza and pneumonia vaccination rates and influencing factors in children.Results:A total of 2 377 parents were included in the study, and the results indicated that the influenza vaccination coverage was 35.93% and the pneumonia vaccination coverage was 16.58% in children in survey areas, the vaccination rate of both vaccines was 11.65%. The top three reasons for vaccination for both vaccines were being aware of severity of the diseases (influenza vaccine: 36.02%; pneumonia vaccine: 49.61%), being required by school or organization (influenza vaccine: 28.76%; pneumonia vaccine: 25.45%) and being aware of the susceptibility of the diseases (influenza vaccine: 26.41%; pneumonia vaccine: 13.88%). The top three reasons for having no vaccinations were personal unwillingness, concern about vaccine and vaccine accessibility. Families with multi children, living in rural areas and lower family income were the negative factors for both types of vaccinations.Conclusions:The influenza and pneumonia vaccination coverage in children need further improvement, and rural families and families with multi children are the key concern groups for expanding vaccination coverage. Health education about influenza and pneumonia vaccinations, coordinating vaccine supply and decreasing vaccine prices play an important role in improving influenza and pneumonia vaccination coverage.

【Objective】 To compare the ability of body mass index （BMI）， body fat percentage （BFP）， waist circumference （WC）， waist-to-height ratio （WHtR）， visceral fat index （VFI） and the combinations of two kinds of obesity indices to predict the risk of hypertension. 【Methods】 Data collected in the baseline survey of “Gansu Province’s Urban and Rural Natural Population Cohort Establishment and Tumor Follow-up Study” were analyzed. Area under the curve （AUC） of ROC curve with covariates was used to analyze and compare the effects of individual obesity evaluation index and the combination of two kinds of obesity indices in predicting the risk of hypertension. 【Results】 Analyses of data of 20，079 adults showed that the AUC of BMI， WC， WHtR， BFP and VFI was 0.636， 0.604， 0.615， 0.614 and 0.619， respectively. AUC of the combination of BMI and WC （0.643） was higher than that of BMI （0.636）； however， the change rate of AUC was only 1.09%. AUC of the combinations of WC， WHtR and VFI， the three central obesity evaluation indices， and BFP， a general obesity evaluation index， were lower than that of BMI. The optimal cutoff value for BMI was 24.2 kg/m². 【Conclusion】 The effect of BMI in predicting the risk of hypertension is better than that of BFP， WC， WHtR and VFI. The effects of the combinations of the two kinds of obesity evaluation indices are not better than that of BMI. To prevent and control hypertension， adults should keep their BMI under overweight.

Objective : To investigate the effect of long non⁃coding RNA (LncRNA) anoctamin 1 antisense RNA⁃1 (ANO1⁃AS1) on the proliferation and apoptosis of esophageal squamous cell carcinoma (ESCC) cells and its possible mechanisms. Methods : Silenced ANO1⁃AS1 lentivirus was transfected in ESCC cells TE⁃1 and EC109. Subsequently, the expression levels of ANO1⁃AS1 and calcium⁃activated chloride channel protein 1 (ANO1) in the cells were detected by qRT⁃PCR. CCK⁃8 and colony formation assays were used to detect the proliferation of TE⁃1 and EC109 cells. ANO1 positively related expressed genes were obtained from the LinkedOmics database and then the gene set was enriched for pathways and possible pathways were validated. The expression levels of proliferating cell nuclear antigen(PCNA), P53 protein, apoptosis⁃related protein ( Bax and Bcl⁃2), ANO1 protein and phosphatidylinositol⁃3⁃kinase/protein kinase B (PI3K/Akt) pathway⁃related protein were assessed by Western blot. Results: After transfection of lentivirus with silent expression function, the expression level of ANO1⁃AS1 was significantly reduced in TE⁃1 and EC109 cells (P < 0. 05); After down⁃regulation of ANO1⁃AS1, compared with the negative control group, the proliferation ability of ESCC cells was reduced (P < 0. 05) and the rate of clone formation decreased (P < 0. 05); Western blot results showed that, compared with negative controls, the expression of PCNA decreased, the expression of oncogene P53 protein increased ( P < 0. 05 ), the expression of proteins ( Bax) increased, Bcl⁃2 decreased and the levels of phosphorylation of the pathway proteins PI3K and Akt decreased (P < 0. 05) . Conclusion Knockdown of ANO1⁃AS1 can decrease proliferation and promote apoptosis in ESCC, which may be achieved by affecting PI3K/Akt pathway activation.

ObjectiveTo determine the association between air pollutants （PM_2.5， PM₁₀， SO₂， NO₂） and death from respiratory diseases in Wuhan. MethodsDaily air pollutants， meteorological data and mortality from respiratory disease between 2014 and 2019 were collected for a descriptive analysis. A time series semi-parametric generalized additive model （GAM） was used to determine the exposure-effect relationship between atmospheric pollutants and daily mortality from respiratory diseases，and the excess risk （ER） was used to quantify the effects of air pollutants on death from respiratory diseases. ResultsThere was significant effect of PM_2.5， PM₁₀， SO₂ and NO₂ on respiratory diseases mortality. In the period with strongest effect， the ER of death from respiratory diseases were 2.803%（95%CI：2.151%‒3.460%）， 1.878%（95%CI：1.477%‒2.281%）， 10.210%（95%CI：7.922%‒12.549%）， 4.564%（95%CI：3.530%‒5.608%）， along with an incremental 10 μg·m^-3 of PM_2.5，PM₁₀，SO₂ and NO₂， respectively. Furthermore， females were more sensitive to PM_2.5， SO₂ and NO₂， while males were more sensitive to PM₁₀. Residents aged less than 65 years were more sensitive to PM_2.5 and NO₂， and those older than 65 years were more sensitive to PM₁₀ and SO₂. ConclusionAir pollutants （PM_2.5， PM₁₀， SO₂， and NO₂） in Wuhan are associated with the death from respiratory diseases. Therefore， at-risk groups should be considered for formulating local policies against air pollution.

Human challenge trial (HCT) is a test in which human volunteers are intentionally infected with pathogens in order to evaluate the efficacy of candidate preventive or therapeutic drugs. During the COVID-19 pandemic, the HCT of vaccines has aroused people's attention due to its significant advantages over clinical trial. This paper introduces the concept, development and application of HCT, the advantages and limitations of HCT for vaccine evaluation, and the consideration of future HCT of COVID-19 vaccine in China.