Objective: To construct a hypertension risk prediction model for residents aged 18-79 years, so as to provide an assessment tool for early screening and prevention of hypertension in high-risk groups. Methods: The permanent residents aged 18-79 years from 6 townships (streets) in Fangshan District of Beijing Municipality were selected as the study subjects using a multi-stage stratified random sampling method from March to June 2023. Demographic information, lifestyle, body mass index (BMI), blood pressure, fasting blood glucose, and blood lipid were collected through questionnaire survey, physical examination, and laboratory tests. Subjects were randomly divided into training and validation sets at a 7∶3 ratio. The logistic regression model was used to screen the risk factors of hypertension, and a hypertension risk prediction nomogram was constructed. Receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis were used to verify the discrimination, fit, and clinical application value of the model. Results: A total of 4 438 subjects were included, including 2 365 males (53.29%) and 2 073 females (46.71%), with a mean age of (44.99±14.90) years. The prevalence of hypertension was 35.29% (1 566 cases), and the standardized prevalence was 24.74%. The logistic regression model screened out 9 influencing factors of hypertension. The nomogram was established as ln[p/ (1-p)]= -2.873 + 0.935×40-<50 years + 1.463×50-<60 years + 1.908×60-<70 years + 2.346×70-79 years + 0.298×male-0.675×college degree or above + 0.384×smoking + 0.227×drinking + 0.572×overweight + 1.449×obesity + 0.557×heart rate ≥80 beats/min + 0.428×diabetes + 0.484×dyslipidemia. The area under the ROC curve of the validation set was 0.821 (95%CI: 0.798-0.843), and the calibration curve results showed that the calibration curve fitted the actual curve well. Decision curve analysis showed that the threshold probability was in the range of 0.10 to 0.70, and the model had good predictive value and clinical application value. Conclusion The nomogram based on age, gender, educational level, smoking, drinking, body mass index, heart rate, diabetes, and dyslipidemia can be used to predict the risk of hypertension among residents aged 18-79 years.

Objective:To discuss the effect of DEAD-box RNA helicase 39A(DDX39A)gene silencing on the proliferation,migration and invasion of the esophageal cancer TE-1 cells,and to clarify its possible mechanism.Methods:For bioinformatics analysis,GSE63941,GSE77861,GSE20347,and GSE16153 chip data were downloaded from the GEO database.The esophagel cancer-related data were selected from the TCGA Database.R software was used to analyze the differentially expressed genes.STRING Database was used to construct the protein-protein interaction(PPI)network.Identification of key genes of high relevance was achieved using the MCODE plugin in Cytoscape.The expression of key genes in normal esophageal tissue and esophageal cancer tissue were analyzed with the GEPIA 2 database.Kaplan-Meier Plotter was used to perform survived analysis and plotting for the screened key genes.Cytological experiments were carried out on esophageal cancer TE-1 cells,and small interfering RNA(siRNA)technology was used to silence the expression of DDX39A gene.The TE-1 cells in the logarithmic growth phase were selected and divided into blank(MOCK)group,negative control(si-NC)group,and silencing(si-DDX39A)group.Real-time fluorescence quantitative PCR(RT-qPCR)and Western blotting methods were used to detect the expression levels of DDX39A mRNA and protein in the TE-1 cells in various groups;CCK-8 assay was conducted to detect the proliferation activity of cells in various groups,and the cell scratch assay was used to measure the migration rate of cells in various groups;Transwell chamber assay was used to detect the number of invasion cells in various groups;Western blotting method was used to detect the expression levels of β-catenin,glycogen synthase kinase-3β(GSK3β),phosphorylated glycogen synthase kinase-3β(p-GSK3β),c-MYC,Cyclin D1 and nuclear β-catenin proteins in the cells in various groups.Results:Analyses using TCGA database combined with the GEO Database yielded a total of 56 differentially expressed genes.MCODE plugin in Cytoscape software identified 41 key genes of high relevance;DDX39A was screened by analyzing 41 genes through the GEPIA 2 and Kaplan-Meier plotter Databases.The results of RT-qPCR and Western blotting methods showed that compared with si-NC group,the expression levels of DDX39A mRNA and protein in the cells in si-DDX39A group were decreased(P＜0.05).The CCK-8 results showed that the proliferation activity of the cells in si-DDX39A group was lower than that in si-NC group(P＜0.05).The cell scratch assay results showed that the cell migration rate in si-DDX39A group after 24 h was lower than that in si-NC group(P＜0.05).The results of Transwell chamber assay showed that the number of invasion cells in si-DDX39A group was lower than that in si-NC group(P＜0.05).Compared with si-NC group,the expression levels of β-catenin,p-GSK3β,c-MYC,Cyclin D1,and nuclear β-catenin in the TE-1 cells in si-DDX39A-1 group and si-DDX39A-3 group were decreased(P＜0.01),but the expression levels of GSK3β protein had no significant differences(P＞0.05).Conclusion:Silencing of DDX39A gene could inhibit the proliferation,migration and invasion of TE-1 cells,and the mechanism may be related to the regulation of Wnt/β-catenin signaling pathway.

In recent decades, the global community has encountered several significant viral outbreaks, including the Ebola epidemic in West Africa, the Zika virus epidemic in South America, and the recent worldwide COVID-19 pandemic. In these instances, the deployment of effective vaccines has been instrumental in protecting public health. Nevertheless, as new challenges emerge in the prevention and management of infectious diseases, the traditional model of global vaccine development confronts both unprecedented opportunities and challenges. These circumstances underscore the limitations inherent in conventional vaccine development, particularly the protracted timelines and substantial costs involved. This article examines innovative approaches in contemporary vaccine clinical trials, investigates randomization techniques specific to vaccine studies, and delineates essential statistical considerations pertinent to vaccine trial design. The objective is to provide scientific support for vaccine development and to foster ongoing innovation and optimization within the realm of vaccine research and development.

Objective:To investigate the clinical and genetic characteristics of a Henan Han family with pontine autosomal dominant microangiopathy and leukoencephalopathy (PADMAL), aiming to enhance understanding of this disease.Methods:The proband was first admitted to the Department of Neurology, Henan Provincial People′s Hospital, Fuwai Central China Cardiovascular Hospital in December 2019 due to cerebral infarction and unilateral limb numbness and weakness. Detailed medical history collection, pedigree mapping, whole-exome sequencing screening, and Sanger sequencing validation were performed for the proband and family members. The patients′ clinical manifestations, imaging features, neuropsychological scale assessment results, and pathological changes were summarized, and genetic analysis was conducted on the gene variant site. Relevant literature was reviewed to summarize the characteristics of PADMAL.Results:The proband was a 47-year-old female, with 3 generations of family members affected, including 7 patients, 3 of whom had died. The clinical features of the patients were similar, with the first stroke occurring around the age of 40, without vascular risk factors such as hypertension or diabetes. The main clinical manifestation was unilateral limb numbness and weakness. The proband and her niece sought medical attention due to stroke symptoms. Brain magnetic resonance imaging revealed acute infarct lesions located in the pons, accompanied by multiple oval infarct foci (the "raisin bread sign") and white matter hyperintensity changes. Genetic testing showed that 4 patients carried a heterozygous c. *34GT mutation in the 3′-untranslated region (3′-UTR) of the COL4A1 gene, while the other 4 unaffected family members did not carry this variant, consistent with genotype- phenotype co-segregation in the family. Conclusions:PADMAL is an extremely rare monogenic cerebral small vessel disease caused by pathogenic variants in the 3′-UTR of the COL4A1 gene. The "raisin bread sign" in the pons is a relatively specific imaging feature that distinguishes it from other cerebral small vessel diseases. For patients with this sign, genetic testing for PADMAL should be considered.

Objective:To determine the prevalence, risk factors, and longitudinal associations of loneliness during mid- to late pregnancy with anxiety and depressive symptoms in late pregnancy.Methods:In this prospective cohort study, 1 107 pregnant women at 24-28 weeks' gestation were enrolled between June 2021 and December 2022. Psychological status was assessed during mid-pregnancy (24-28 weeks) and late pregnancy (≥32 weeks) using standardized electronic questionnaires, including the Revised University of California Los Angeles Loneliness Scale (UCLA) Loneliness Scale-Short Form (Cronbach's α=0.82), Patient Health Questionnaire-9 ( α=0.86), and Generalized Anxiety Disorder-7 ( α=0.88). Multivariate logistic regression identified independent risk factors for loneliness. Cross-lagged path models analyzed the longitudinal predictions between loneliness and anxiety/depressive symptoms. Results:The prevalence of loneliness decreased significantly from 10.8% (120/1 107) in mid-pregnancy to 4.8% (37/777) in late pregnancy ( χ2=21.81, P<0.001). Multivariate analysis identified independent risk factors for loneliness: age <30 years ( OR=1.70, 95% CI: 1.15-2.50), annual household income <50 000 CNY ( OR=2.53, 95% CI: 1.28-5.02), unemployment during pregnancy ( OR=1.57, 95% CI: 1.03-2.39), history of alcohol consumption ( OR=1.63, 95% CI: 1.03-2.56), and the presence of mid-pregnancy depressive ( OR=2.76, 95% CI: 1.51-5.04) and anxiety symptoms ( OR=1.65, 95% CI: 1.01-2.71) (all P<0.05). Cross-lagged path models indicated bidirectional associations between loneliness and both anxiety ( β=0.32, P<0.01) and depressive symptoms ( β=0.28, P<0.01). However, the predictive effect of loneliness on subsequent depressive and anxiety symptoms ( β=0.28-0.32) was substantially stronger than the reverse prediction (mid-pregnancy anxiety on late-pregnancy loneliness: β=0.12; mid-pregnancy depression on late-pregnancy loneliness: β=0.11). Loneliness demonstrated high temporal stability (autoregressive effects β=0.29-0.32). Conclusion:Loneliness in mid-pregnancy exhibits a symmetric bidirectional association with anxiety and depressive symptoms in late pregnancy, suggesting it may be a core driver in the development of these emotional symptoms. Younger maternal age (<30 years), low household income (<50 000 CNY/year), unemployment during pregnancy, and a history of alcohol consumption were associated with a higher risk of loneliness and should be prioritized for psychological screening and intervention.

In recent decades, the global community has encountered several significant viral outbreaks, including the Ebola epidemic in West Africa, the Zika virus epidemic in South America, and the recent worldwide COVID-19 pandemic. In these instances, the deployment of effective vaccines has been instrumental in protecting public health. Nevertheless, as new challenges emerge in the prevention and management of infectious diseases, the traditional model of global vaccine development confronts both unprecedented opportunities and challenges. These circumstances underscore the limitations inherent in conventional vaccine development, particularly the protracted timelines and substantial costs involved. This article examines innovative approaches in contemporary vaccine clinical trials, investigates randomization techniques specific to vaccine studies, and delineates essential statistical considerations pertinent to vaccine trial design. The objective is to provide scientific support for vaccine development and to foster ongoing innovation and optimization within the realm of vaccine research and development.

Objective:To investigate the clinical and genetic characteristics of a Henan Han family with pontine autosomal dominant microangiopathy and leukoencephalopathy (PADMAL), aiming to enhance understanding of this disease.Methods:The proband was first admitted to the Department of Neurology, Henan Provincial People′s Hospital, Fuwai Central China Cardiovascular Hospital in December 2019 due to cerebral infarction and unilateral limb numbness and weakness. Detailed medical history collection, pedigree mapping, whole-exome sequencing screening, and Sanger sequencing validation were performed for the proband and family members. The patients′ clinical manifestations, imaging features, neuropsychological scale assessment results, and pathological changes were summarized, and genetic analysis was conducted on the gene variant site. Relevant literature was reviewed to summarize the characteristics of PADMAL.Results:The proband was a 47-year-old female, with 3 generations of family members affected, including 7 patients, 3 of whom had died. The clinical features of the patients were similar, with the first stroke occurring around the age of 40, without vascular risk factors such as hypertension or diabetes. The main clinical manifestation was unilateral limb numbness and weakness. The proband and her niece sought medical attention due to stroke symptoms. Brain magnetic resonance imaging revealed acute infarct lesions located in the pons, accompanied by multiple oval infarct foci (the "raisin bread sign") and white matter hyperintensity changes. Genetic testing showed that 4 patients carried a heterozygous c. *34GT mutation in the 3′-untranslated region (3′-UTR) of the COL4A1 gene, while the other 4 unaffected family members did not carry this variant, consistent with genotype- phenotype co-segregation in the family. Conclusions:PADMAL is an extremely rare monogenic cerebral small vessel disease caused by pathogenic variants in the 3′-UTR of the COL4A1 gene. The "raisin bread sign" in the pons is a relatively specific imaging feature that distinguishes it from other cerebral small vessel diseases. For patients with this sign, genetic testing for PADMAL should be considered.

Objective:To determine the prevalence, risk factors, and longitudinal associations of loneliness during mid- to late pregnancy with anxiety and depressive symptoms in late pregnancy.Methods:In this prospective cohort study, 1 107 pregnant women at 24-28 weeks' gestation were enrolled between June 2021 and December 2022. Psychological status was assessed during mid-pregnancy (24-28 weeks) and late pregnancy (≥32 weeks) using standardized electronic questionnaires, including the Revised University of California Los Angeles Loneliness Scale (UCLA) Loneliness Scale-Short Form (Cronbach's α=0.82), Patient Health Questionnaire-9 ( α=0.86), and Generalized Anxiety Disorder-7 ( α=0.88). Multivariate logistic regression identified independent risk factors for loneliness. Cross-lagged path models analyzed the longitudinal predictions between loneliness and anxiety/depressive symptoms. Results:The prevalence of loneliness decreased significantly from 10.8% (120/1 107) in mid-pregnancy to 4.8% (37/777) in late pregnancy ( χ2=21.81, P<0.001). Multivariate analysis identified independent risk factors for loneliness: age <30 years ( OR=1.70, 95% CI: 1.15-2.50), annual household income <50 000 CNY ( OR=2.53, 95% CI: 1.28-5.02), unemployment during pregnancy ( OR=1.57, 95% CI: 1.03-2.39), history of alcohol consumption ( OR=1.63, 95% CI: 1.03-2.56), and the presence of mid-pregnancy depressive ( OR=2.76, 95% CI: 1.51-5.04) and anxiety symptoms ( OR=1.65, 95% CI: 1.01-2.71) (all P<0.05). Cross-lagged path models indicated bidirectional associations between loneliness and both anxiety ( β=0.32, P<0.01) and depressive symptoms ( β=0.28, P<0.01). However, the predictive effect of loneliness on subsequent depressive and anxiety symptoms ( β=0.28-0.32) was substantially stronger than the reverse prediction (mid-pregnancy anxiety on late-pregnancy loneliness: β=0.12; mid-pregnancy depression on late-pregnancy loneliness: β=0.11). Loneliness demonstrated high temporal stability (autoregressive effects β=0.29-0.32). Conclusion:Loneliness in mid-pregnancy exhibits a symmetric bidirectional association with anxiety and depressive symptoms in late pregnancy, suggesting it may be a core driver in the development of these emotional symptoms. Younger maternal age (<30 years), low household income (<50 000 CNY/year), unemployment during pregnancy, and a history of alcohol consumption were associated with a higher risk of loneliness and should be prioritized for psychological screening and intervention.

To promote the development of the prescription-based processing of Chinese herbal pieces,the China Association of Chinese Medicine published the social organization standard of the Standard for Prescription-based Processing of Chinese Herbal Pieces(T/CACM 1367-2021)in June 2021.The standard was led by the First Affiliated Hospital of Henan University of Chinese Medicine and Jiangsu Province Hospital of Chinese Medicine.It was jointly drafted by 28 Traditional Chinese medical institutions across the country.This paper introduced the standards in detail to promote the implementation and propel the inheritance and innovation of the processing of Chinese herbal pieces.

Objective To observe the value of grey-level histogram analysis based on T2WI for differentiating consistency of meningioma.Methods Data of 109 patients with meningioma were retrospectively analyzed.The patients were divided into hard group(n=71)and soft group(n=38)according to the consistency of tumors.Tumor ROI was outlined on axial T2WI showing the largest tumor section,gray levels were extracted and histogram analysis was performed.The value of each histogram parameter were compared between groups.Then receiver operating characteristic curve was drawn,and the area under the curve(AUC)was calculated to evaluate the efficiency for differentiating soft and hard meningioma.Results P1,P10,P50,P90,P99 and the mean grey levels on T2WI in soft group were all higher than those in hard group(all P＜0.05),while the variance,the kurtosis and the skewness were not significantly different between groups(all P＞0.05).The differentiating efficiency of P1,P10,P50,P90,P99 and the mean grey levels on T2WI were all fine,with AUC of 0.774 to 0.833,and no significant difference was found(all P＞0.05).Conclusion Parameters of grey-level histogram analysis such as P1,P10,Ps0,P90,P99 and the mean values based on T2WI were all valuable for differentiating soft and hard meningioma.