Objective To establish a predictive model for inpatients of cardio-cerebrovascular disease in rural areas of Wugang through time series analysis, and predict the changing trend of cardio-cerebrovascular disease, so as to offer guidance for the health care resources allocation and prevention and control of cardio-cerebrovascular disease. Methods The seasonal autoregressive integrated moving average model (SARIMA) was constructed based on the monthly number of cases of cardio-cerebrovascular disease in rural areas from January 2013 to December 2016 by Stata 14.0 software, and the predictive effect of the model was verified with the monthly number of inpatients of cardio-cerebrovascular disease in 2017. Results The final fitting model of inpatients of cardio-cerebrovascular disease was SARIMA (2, 1, 1)×(0, 1, 0)12. The residual sequence of the model was diagnosed. Results of Ljung-Box Q test showed that the residual sequence was white noise sequence (Q=11.12, P=0.68). In addition, the 2017 forecast was basically consistent with the observations, the overall relative error was around -1.2%. The results showed that the summer was the peak period of cardiovascular and cerebrovascular hospitalization. Conclusion SARIMA model can accurately predict the number of inpatients of cardio-cerebrovascular disease in Wugang, which can provide data support for the hospital administrator to rationally allocate medical resources in the cardiovascular according to the needs of cardio-cerebrovascular treatment in different months.

OBJECTIVETo set up a platform for phenotype-based primary screening of drug candidates promoting neuronal subtype differentiation in embryonic stem cells (ES) with light microscope.

METHODSHanging drop culture 4-/4+ method was employed to harvest the cells around embryoid body (EB) at differentiation endpoint. Morphological evaluation for neuron-like cells was performed with light microscope. Axons for more than three times of the length of the cell body were considered as neuron-like cells. The compound(s) that promote neuron-like cells was further evaluated. Icariin (ICA, 10(-6)mol/L) and Isobavachin (IBA, 10(-7)mol/L) were selected to screen the differentiation-promoting activity on ES cells. Immunofluorescence staining with specific antibodies (ChAT, GABA) was used to evaluate the neuron subtypes.

RESULTSThe cells treated with IBA showed neuron-like phenotype, but the cells treated with ICA did not exhibit the morphological changes. ES cells treated with IBA was further confirmed to be cholinergic and GABAergic neurons.

CONCLUSIONPhenotypic screening with light microscope for molecules promoting neuronal differentiation is an effective method with advantages of less labor and material consuming and time saving, and false-positive results derived from immunofluorescence can be avoided. The method confirms that IBA is able to facilitate ES cells differentiating into neuronal cells, including cholinergic neurons and GABAergic neurons.

Animals ; Cell Differentiation ; drug effects ; physiology ; Cell Line ; Drug Evaluation, Preclinical ; methods ; Embryoid Bodies ; cytology ; Embryonic Stem Cells ; cytology ; Mice ; Nerve Regeneration ; drug effects ; Neurons ; cytology ; Phenotype

Objective To assess the current status and factors associated with the mental health condition of older adults. Methods A convenience sampling survey was conducted using symptom check list 90 (SCL-90) among the Chinese older adults aged 60 or above from January to March, 2018. The older adults aged 80 or above were selected for this study. Chi-square test and binary logistic regression model were used to analyze the influencing factors. Results The total participants were 485. The SCL-90 positive detection rate was 20.21%. The symptoms of the four highest detection rates were somatization (39.38%), others (25.15%), obsessive-compulsive symptoms (24.33%) and depression (22.68%). The older adults with normal BMI (OR=0.537, 95% CI: 0.250-0.857, P=0.027) and lived in county town (OR=0.224, 95% CI:0.075-0.667, P=0.007) showed lower SCL-90 positive detection rate. These who had been educated for 1-5 years (OR=11.092, 95% CI: 4.446-27.671, P<0.001), 6-8 years (OR=9.800, 95% CI: 3.464-27.721, P<0.001), 9~11 years (OR=19.279, 95% CI : 6.722-55.297, P<0.001), 12 years and above (OR=24.321, 95% CI: 7.894-74.929, P<0.001) had higher SCL-90 positive detection rate compared with those who were uneducated. Conclusion The mental health condition of Chinese older adults is mainly influenced by residence place, education level, family income self-evaluation and BMI status.

Objective To study the stemness characteristics of uterine corpus endometrial carcinoma(UCEC)and its potential regulatory mechanism.Methods Transcriptome sequencing data of UCEC was obtained from The Cancer Genome Atlas.Gene expression profile was normalized by edgeR package in R3.5.1.A one-class logistic regression machine learning algorithm was employed to calculated the mRNA stemness index(mRNAsi)of each UCEC sample.Then,the prognostic significance of mRNAsi and candidate genes was evaluated by survminer and survival packages.The high-frequency sub-pathways mining approach(HiFreSP)was used to identify the prognosis-related sub-pathways enriched with differentially expressed genes(DEGs).Subsequently,a gene co-expression network was constructed using WGCNA package,and the key gene modules were analyzed.The clusterProfiler package was adopted to the function annotation of the modules highly correlated with mRNAsi.Finally,the Human Protein Atlas(HPA)was retrieved for immunohistochemical validation.Results The mRNAsi of UCEC samples was significantly higher than that of normal tissues(
Calcium-Calmodulin-Dependent Protein Kinase Type 2 ; Endometrial Neoplasms/genetics* ; Female ; Gene Expression Regulation, Neoplastic ; Humans ; Mad2 Proteins ; Multigene Family ; Neoplastic Stem Cells ; Prognosis ; Securin

OBJECTIVE: To study the clinical features of coronavirus disease 2019 (COVID-19) in children aged <18 years. METHODS: A retrospective analysis was performed from the medical data of 23 children, aged from 3 months to 17 years and 8 months, who were diagnosed with COVID-19 in Jiangxi, China from January 21 to February 29, 2020. RESULTS: Of the 23 children with COVID-19, 17 had family aggregation. Three children (13%) had asymptomatic infection, 6 (26%) had mild type, and 14 (61%) had common type. Among these 23 children, 16 (70%) had fever, 11 (48%) had cough, 8 (35%) had fever and cough, and 8 (35%) had wet rales in the lungs. The period from disease onset or the first nucleic acid-positive detection of SARS-CoV-2 to the virus nucleic acid negative conversion was 6-24 days (median 12 days). Of the 23 children, 3 had a reduction in total leukocyte count, 2 had a reduction in lymphocytes, 2 had an increase in C-reactive protein, and 2 had an increase in D-dimer. Abnormal pulmonary CT findings were observed in 12 children, among whom 9 had patchy ground-glass opacities in both lungs. All 23 children received antiviral therapy and were recovered. CONCLUSIONS COVID-19 in children aged <18 years often occurs with family aggregation, with no specific clinical manifestation and laboratory examination results. Most of these children have mild symptoms and a good prognosis. Epidemiological history is of particular importance in the diagnosis of COVID-19 in children aged <18 years.
Adolescent ; Betacoronavirus ; Child ; Child, Preschool ; China ; Coronavirus Infections ; Humans ; Infant ; Pandemics ; Pneumonia, Viral ; Retrospective Studies