[Common Malignant Tumors in the Reproductive System of Chinese Women: Disease Burden During 1990-2019 and Prediction of Future Trend].

Objective To analyze the trends of disease burden of cervical cancer,uterine cancer,and ovarian cancer among Chinese women from 1990 to 2019,and to provide a basis for formulating precise prevention and control measures in China. Methods The global disease burden data in 2019 were used to describe the changes in indicators such as incidence,mortality,years of life lost due to premature mortality(YLL),years lived with disability(YLD),and disability-adjusted life year(DALY) of cervical,uterine,and ovarian cancers in China from 1990 to 2019.Furthermore,the Bayesian age-period-cohort model was adopted to predict the incidence and mortality of the cancers from 2020 to 2030.

Biological Functions of Selenoprotein Iodothyronine Deiodinase and its Expression in Osteoarthritis.

Objective Iodothyronine deiodinases (DIOs) are important selenoproteins that play a key role in the bone and joint diseases. Osteoarthritis (OA) is the most prevalent joint disease especially in elders. This bioinformatic analysis was performed to explore the role of DIOs in OA pathogenesis.

[Expression of Glutathione Peroxidases and Its Effect on Clinical Prognosis in Glioma Patients].

Objective To investigate the relationship between the expression of glutathione peroxidase(GPX)genes and the clinical prognosis in glioma patients,and to construct and evaluate the model for predicting the prognosis of glioma. Methods The clinical information and GPX expression of 663 patients,including 153 patients of glioblastoma(GBM)and 510 patients of low-grade glioma(LGG),were obtained from The Cancer Genome Atlas(TCGA)database.The relationship between GPX expression and patient survival was analyzed.

[Changes of Gene Expression Profile in Cardiac Mesenchymal Cells in Patients with Type 2 Diabetes Mellitus and Screening of Their Related Environmental Chemicals].

To study the gene expression of cardiac mesenchymal cells in patients with type 2 diabetes mellitus (T2DM)based on a whole-genome high-throughput sequencing dataset,screen differentially expressed genes,analyze the genetics signature of cardiac mesenchymal cells in T2DM patients by bioinformatics analysis,and explore the environmental chemicals related to the key differentially expressed genes. The dataset GSE106177 was obtained from Gene Expression Omnibus (GEO) database.The dataset was pre-processed and analyzed by Network Analyst,Cytoscape 3.

[Analysis of Differentially Expressed Genes and the Interaction Network between Acute and Chronic Idiopathic Thrombocytopenic Purpura in Children].

Objective To analyze the differentially expressed genes and key proteins in T cells between acute and chronic idiopathic thrombocytopenic purpura (ITP) in children and provide the basis for the prevention and therapies of this disease. Methods Microarray gene chip data from T cells of children with acute or chronic ITP were downloaded from the GEO Database. The gene expression profiles,gene function,and protein interaction network were analyzed by R,QOE,Networkanalyst,GCBI,and GenClip.

White Matter Lesions Predict Recurrent Vascular Events in Patients with Transient Ischemic Attacks.

Background: White matter lesions (WMLs) are common findings in brain magnetic resonance imaging (MRI) and are strongly associated with stroke incidence, recurrence, and prognosis. However, the relationship between WMLs and transient ischemic attacks (TIAs) is not well established. This study aimed to determine the clinical significance of WMLs in patients with TIA.

Long-term effects of bone marrow-derived cells transplantation in patients with acute myocardial infarction: a meta-analysis.

Background: The long-term effects of bone marrow-derived cells (BMC) transplantation in patients with acute myocardial infarction (AMI) have not been established. The present meta-analysis of randomized controlled trials with follow-up ≥ 2 years was performed to investigate the long-term effects of BMC therapy in patients after AMI.

Methods: Specific terms were used to conduct a systematic literature search of MEDLINE, EMBASE, the Cochrane Library and the Cochrane Central Register of Controlled Trials, and the China Biological Medicine Disk database from their inception to March 2012.

Numerical model for the investigation of countercurrent chromatography.

A numerical model is developed to describe the separation process of countercurrent chromatography (CCC) in this work. The theory of countercurrent extraction table (TCCET) is first proposed to calculate concentration distributions of chemical components in the CCC, which is essential for a numerical model to describe the dynamic equilibrium of mass transfer. According to the theory of countercurrent extraction, the concentration in chromatography obeys binomial distribution, while the outflow from the n-th stage is a negative binomial distribution.

Characterization of surface EMG signals using improved approximate entropy.

An improved approximate entropy (ApEn) is presented and applied to characterize surface electromyography (sEMG) signals. In most previous experiments using nonlinear dynamic analysis, this certain processing was often confronted with the problem of insufficient data points and noisy circumstances, which led to unsatisfactory results. Compared with fractal dimension as well as the standard ApEn, the improved ApEn can extract information underlying sEMG signals more efficiently and accurately.

Classification of surface EMG signal with fractal dimension.

Surface EMG (electromyography) signal is a complex nonlinear signal with low signal to noise ratio (SNR). This paper is aimed at identifying different patterns of surface EMG signals according to fractal dimension. Two patterns of surface EMG signals are respectively acquired from the right forearm flexor of 30 healthy volunteers during right forearm supination (FS) or forearm pronation (FP).

Antagonism of botulinum toxin type A-induced cleavage of SNAP-25 in rat cerebral synaptosome by toosendanin.

Toosendanin (TSN), a triterpenoid derivative extracted from Chinese traditional medicine, has been demonstrated to be an effective cure for experimental botulism. This study is designed to explore its antibotulismic mechanism by Western blotting. The results showed that TSN incubation did not change the electrophoresis pattern and the amounts of synaptosomal-associated protein of 25 kDa (SNAP-25), syntaxin and synaptobrevin/vesicle-associated membrane protein in rat cerebral synaptosomes, but made the synaptosomes completely resistant to botulinum neurotoxin A (BoNT/A)-mediated cleavage of SNAP-25.