An ERP study on the influence of mental abacus calculation on subthreshold arithmetic priming in children.

OBJECTIVE: The objective of this study was to investigate the influence of mental abacus calculation training (MACT) on subliminal cognitive processes. METHODS: Twenty children with intensive MACT (MACT group) and 20 children without MACT (non-MACT group) were selected. The two groups of children were matched in age, sex, handedness and academic grade. The participants were tested with subthreshold arithmetic priming task while their neural activities were recorded with a 32-channel electroencephalogram system. RESULTS: We found that MACT changed the subliminal cognitive mechanism of computational processing, speeding up the computation. MACT affected the computational processing mode. Specifically, in the identification stage, both groups of children adopted the visual space processing mode, while in the computing stage, the MACT group adopted a visual space processing mode, but the non-MACT group adopted a semantic processing mode. Moreover, MACT improved children's executive functions. CONCLUSION: These results yielded insights into the effect of early abacus training on children's cognitive processing, providing a theoretical basis for the development and promotion of abacus training.

[Analysis of the risk factors of upper urinary tract dilatation due to spinal cord injury].

OBJECTIVE: To evaluate the urodynamic risk factors of upper urinary tract dilatation (UUTD) secondary to spinal cord injury (SCI). METHODS: Ninety-six SCI patients of Tangshan earthquake were divided into 2 groups by ultrasonography: 16 SCI patients (group A) with UUTD and 80 SCI patients (group B) without UUTD received urodynamic test. Responses were evaluated using single and multiple analysis after examination. RESULTS: The incidence of male was significantly higher than that of female. Residual urine volume, maximum cystometric capacity, detrusor leak point pressure and the incidence of bladder low compliance in group A were significantly higher than those in group B. There were no significant differences in age, the incidence of detrusor hyperreflexia, relative safe bladder capacity, the incidence of detrusor-sphincter dyssynergia, maximum flow rate and maximum urethral closure pressure between 2 groups. Bladder low compliance was cardinal risk factors according to Logistic regression analysis. CONCLUSION: An early urodynamic examination and treatment for SCI patients are important to prevent from bladder low compliance and upper urinary tract damage.

Bioinformatics analysis of differentially expressed proteins in prostate cancer based on proteomics data.

We mined the literature for proteomics data to examine the occurrence and metastasis of prostate cancer (PCa) through a bioinformatics analysis. We divided the differentially expressed proteins (DEPs) into two groups: the group consisting of PCa and benign tissues (P&b) and the group presenting both high and low PCa metastatic tendencies (H&L). In the P&b group, we found 320 DEPs, 20 of which were reported more than three times, and DES was the most commonly reported. Among these DEPs, the expression levels of FGG, GSN, SERPINC1, TPM1, and TUBB4B have not yet been correlated with PCa. In the H&L group, we identified 353 DEPs, 13 of which were reported more than three times. Among these DEPs, MDH2 and MYH9 have not yet been correlated with PCa metastasis. We further confirmed that DES was differentially expressed between 30 cancer and 30 benign tissues. In addition, DEPs associated with protein transport, regulation of actin cytoskeleton, and the extracellular matrix (ECM)-receptor interaction pathway were prevalent in the H&L group and have not yet been studied in detail in this context. Proteins related to homeostasis, the wound-healing response, focal adhesions, and the complement and coagulation pathways were overrepresented in both groups. Our findings suggest that the repeatedly reported DEPs in the two groups may function as potential biomarkers for detecting PCa and predicting its aggressiveness. Furthermore, the implicated biological processes and signaling pathways may help elucidate the molecular mechanisms of PCa carcinogenesis and metastasis and provide new targets for clinical treatment.

Construction and analysis of protein-protein interaction networks based on proteomics data of prostate cancer.

Currently, using human prostate cancer (PCa) tissue samples to conduct proteomics research has generated a large amount of data; however, only a very small amount has been thoroughly investigated. In this study, we manually carried out the mining of the full text of proteomics literature that involved comparisons between PCa and normal or benign tissue and identified 41 differentially expressed proteins verified or reported more than 2 times from different research studies. We regarded these proteins as seed proteins to construct a protein-protein interaction (PPI) network. The extended network included one giant network, which consisted of 1,264 nodes connected via 1,744 edges, and 3 small separate components. The backbone network was then constructed, which was derived from key nodes and the subnetwork consisting of the shortest path between seed proteins. Topological analyses of these networks were conducted to identify proteins essential for the genesis of PCa. Solute carrier family 2 (facilitated glucose transporter), member 4 (SLC2A4) had the highest closeness centrality located in the center of each network, and the highest betweenness centrality and largest degree in the backbone network. Tubulin, beta 2C (TUBB2C) had the largest degree in the giant network and subnetwork. In addition, using module analysis of the whole PPI network, we obtained a densely connected region. Functional annotation indicated that the Ras protein signal transduction biological process, mitogen-activated protein kinase (MAPK), neurotrophin and the gonadotropin-releasing hormone (GnRH) signaling pathway may play an important role in the genesis and development of PCa. Further investigation of the SLC2A4, TUBB2C proteins, and these biological processes and pathways may therefore provide a potential target for the diagnosis and treatment of PCa.