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Articles by Wei Gao
Total Records ( 7 ) for Wei Gao
  Xinye Xu , Zijian Li and Wei Gao
  Context: Growth differentiation factor 15 (GDF-15) is a novel cytokine showing close association with cardiovascular diseases. The biological mechanism and clinical use of GDF-15 in cardiovascular diseases have been well demonstrated. We review recent investigations from both basic research and clinical trials into the biological role of GDF-15. Methods: The data were obtained mainly from MedLine via PubMed and from our own investigations. Results: Laboratory investigations revealed that GDF-15 has biphasic effects on cellular survival by several signaling pathways. GDF-15 participates in several cardiovascular pathological processes such as cardiac remodeling, ischemia/reperfusion injury and atherosclerotic plaque formation. As well, GDF-15 was found a prognostic biomarker of heart failure and acute coronary syndrome. The evidence for diagnostic or therapeutic utility is poor. Conclusion: GDF-15 has great potential as a biomarker in cardiovascular diseases, especially for prognosis, and is seen as a myocardial protective cytokine, but the exact mechanism of GDF-15 in cardiovascular diseases remains unknown.
  Dan Zhu , Fangfang Wang , Haiyi Yu , Lin Mi and Wei Gao
  Screening patients with stage B heart failure(HF) may be one strategy for reducing human morbidity. To describe catestatin levels in different stages of HF and evaluate the diagnostic utility of catestatin for detecting stage B HF, we included 300 patients. Catestatin, BNP testing and echocardiogram were performed. Our studies showed catestatin decreased gradually from stage A to C. There was significant difference between stage A and B. Cutoff value for detecting stage B HF was 19.73 ng/ml for catestatin with 90% sensitivity and 50.9% specificity. These results may have implications in the new method to detect patients with stage B HF.
  Wei Gao , Yun Gao and Li Liang
  Ontology, as a structured conceptual model of knowledge representation and storage, has widely used in computer science, biomedical and social science. Ontology algorithms even become the core algorithms in information retrieval and thus raise more and more attention. In this study, we propose the adaptation procedure for ontology algorithm in multi-dividing setting. The new technology helps to adapt an unknown parameter and we determine the generalization error bound for such adaptation procedure under certain assumption.
  Li Yan , Junsheng Li and Wei Gao
  Classification algorithm is classical learning problem in computer science. Hypergraph, as a knowledge representation model, has widely used in finance, biology and information science. In this study, we extend some graph vertex classification analysis results to hypergraph. Specifically, we use the cut size of the classification to derive data-dependent bounds on the fraction of mistaken predictions for hypergraph vertex classification algorithm.
  Yun Gao , Li Liang and Wei Gao
  The aim of dimensionality reduction is to use low-dimensional data to represent high-dimensional data and thus can reduce the computational complexity. Graph spectral is an effective dimension reduction technology and used in various fields of computer science. In this study, we propose new algorithm for ontology similarity and ontology mapping application. The algorithm is given by calculating the similarity matrix in terms of spectral dimensionality reduction. Two experiments are designed to manifest the effectiveness of the algorithm.
  Li Yan , Wei Gao and JunSheng Li
  As the extension of Gao et al. (2013), we present the partitioning scheme made of dyadic cubes, the approximation result is thereby obtained concern such partitioning. It is highlighted in this study that AUC criterion multi-dividing ontology algorithm with tree ontology structure and specific split rule has good statistic characteristics, and show that the algorithm under these partitioning schemes are convergent.
  Ovidiu Coste , Christian Brenneis , Bona Linke , Sandra Pierre , Christian Maeurer , Wiebke Becker , Helmut Schmidt , Wei Gao , Gerd Geisslinger and Klaus Scholich
  Sphingosine 1-Phosphate (S1P) modulates various cellular functions such as apoptosis, cell differentiation, and migration. Although S1P is an abundant signaling molecule in the central nervous system, very little is known about its influence on neuronal functions. We found that S1P concentrations were selectively decreased in the cerebrospinal fluid of adult rats in an acute and an inflammatory pain model. Pharmacological inhibition of sphingosine kinases (SPHK) decreased basal pain thresholds and SphK2 knock-out mice, but not SphK1 knock-out mice, had a significant decrease in withdrawal latency. Intrathecal application of S1P or sphinganine 1-phosphate (dihydro-S1P) reduced the pain-related (nociceptive) behavior in the formalin assay. S1P and dihydro-S1P inhibited cyclic AMP (cAMP) synthesis, a key second messenger of spinal nociceptive processing, in spinal cord neurons. By combining fluorescence resonance energy transfer (FRET)-based cAMP measurements with Multi Epitope Ligand Cartography (MELC), we showed that S1P decreased cAMP synthesis in excitatory dorsal horn neurons. Accordingly, intrathecal application of dihydro-S1P abolished the cAMP-dependent phosphorylation of NMDA receptors in the outer laminae of the spinal cord. Taken together, the data show that S1P modulates spinal nociceptive processing through inhibition of neuronal cAMP synthesis.
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