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Articles by Ji LIU
Total Records ( 4 ) for Ji LIU
  Ji Liu , Maopeng Yang , Rui Kong , Hua Chen , Yongwei Wang , Shangha Pan , Hongchi Jiang and Bei Sun
  This study sought to uncover whether icotinib can enhance bufalin-induced apoptosis of human colon cancer cells and the roles of PI3K/Akt signaling pathway in the apoptosis. The cell proliferation of human colon cancer cell lines RKO, HT29, CACO-2 and SW480 treated by bufalin was detected by MTT assay. Then, the apoptosis rate of RKO and SW480 cells treated by bufalin alone and combination of bufalin and icotinib was detected by flow cytometry. Afterwards, the levels of Cbl-b, p-AKT, p-ERK, PARP, Bax and Bcl-2 in RKO and SW480 cells were determined by Western blotting. Additionally, the effect of K-Ras silencing on the synergy of bufalin and icotinib was assessed. Bufalin decreased RKO, HT29, CACO-2 and SW480 (EX12 mutation) cell viability in a dose-dependent manner and induced apoptosis of RKO and SW480 cells in vitro. In the cells treated by combination of bufalin and icotinib, the levels of Cbl-b, cleaved PARP and Bax were increased, while the levels of p-Akt and Bcl-2 were reduced, comparing with that in the bufalin treated cells. Furthermore, K-Ras silencing (including EX12 mutated K-Ras and wild-type K-Ras) did not significantly affect the apoptosis rate of cells treated by the combination of bufalin and icotinib. Icotinib synergizes with bufalin to induce the apoptosis of colon cancer cells through PI3K/Akt signal pathway and regulating the apoptosis related proteins (Bcl-2, Cbl-b, cleaved PARP and Bax). K-Ras may not participate in the combination of bufalin and icotinib induced apoptosis in human colon cancer cells.
  Debra Kush , Hyo-Soo Kim , Da Yi Hu , Ji Liu , Waheeda Sirah , Aditi Sapre , Christine McCrary , John F. Paolini and Darbie Maccubbin
 

Background
Niacin has proven lipid-modifying efficacy and cardiovascular benefit; however, it is underused because of skin flushing, a process mediated primarily by prostaglandin D2 (PGD2). Laropiprant (LRPT), a PGD2 receptor (DP1) antagonist that mitigates niacin-induced flushing, has been combined with extended-release niacin (ERN) into a fixed-dose tablet containing 1 g of ERN and 20 mg of LRPT (ERN/LRPT 1 g). In a large-scale (n = not, vert, similar1600), multinational, 6-month study in dyslipidemic patients, ERN/LRPT 2 g produced superior lipid-modifying efficacy vs placebo, whether administered alone or with concomitant statins.

Objective
This Phase III, randomized, double-blind study evaluated the lipid-modifying efficacy of ERN/LRPT alone or added to ongoing statins in Asian patients with primary hypercholesterolemia or mixed hyperlipidemia.

Methods
After a 4-week placebo run-in, patients were randomized to ERN/LRPT 1 g (n = 322) or placebo (PBO; n = 324). After 4 weeks, the dose was advanced to 2 tablets/d (ERN/LRPT 2 g or PBO) for 8 additional weeks. End points included effects of ERN/LRPT 2 g vs PBO on low-density lipoprotein cholesterol (LDL-C; primary), high-density lipoprotein cholesterol (HDL-C), triglyceride (TG), and other lipids/lipoproteins.

Results
Relative to PBO, ERN/LRPT 2 g produced significant (P < .001) changes in LDL-C (−14.7%), HDL-C (15.9%), TG (−23.4%), LDL-C:HDL-C (−25.5%), non-HDL-C (−16.4%), apolipoprotein (Apo) B (−15.4%), and Apo A-I (5.3%) from baseline to week 12 in the total population. Similar results were observed in patients treated with ERN/LRPT alone or added to ongoing statin.

Conclusion
ERN/LRPT 2 g, administered alone or with a statin, produced significant improvements in multiple lipid/lipoprotein parameters in dyslipidemic Asian patients.

  Hai-Ping YUAN , Hang MIN , Ji LIU , Bo YAN and Lu Zhen-Meia
  The actinomycete populations and functions in cadmium (Cd) contaminated soil were investigated by the cultivation-independent molecular methods. The genomic DNA was extracted and purified from soil adulterated with various concentrations of Cd in the laboratory. The partial 16S rDNA genes were amplified by polymerase chain reaction (PCR) using specific primers bound to evolutionarily conserved regions within these actinomycete genes. The diversity in PCR-amplified products, as measured by denaturing gradient gel electrophoresis (EGGE), was used as a genetic fingerprint of the population. Principle component analysis and Shannon-Weaver diversity index (H) analyses were used to analyze the DGGE results. Results showed that the two principal components accounted for only a low level of the total variance. The value H in contaminated soil was lower than that in the control at later stages of cultivation, whereas at earlier stages it was higher. Among the six sampling time points, the first, fifth and sixth weeks had the highest values of H. Significantly negative correlations between bioavailable Cd concentration and H values existed in the samples from weeks 2 (R =0.929, P< 0.05) and 4 (R =0.909, P< 0.05). These results may shed light on the effect of Cd on the soil environment and the chemical behavior and toxicity of Cd to actinomycetes.
  Ji Liu and Guishi Deng
 

Human dynamics has attracted much attention in recent years. Quantitative understanding of the statistical mechanics of human behavior in an online network is a new challenge for researchers. In an online network, users’ behaviors can be abstracted and projected into a user–object network. Many complex problems concerning resource diffusion, such as recommendation system, network flow and social network behavior, can be solved partially by this user–object network. Although some researchers have given some statistical description of the network recently, little work has been done on link prediction in a user–object network. The objective of this paper is to predict new links based on historical ones in a user–object network. When link weight is taken into consideration, we find that both time attenuation and diversion delay play key roles in link prediction in an user–object network. We then combine these two time effect factors of link weight with users’ lifespans and construct the time-weighted network (TWN) model on the basis of resource allocation. Experimental results show the TWN model can greatly enhance the link prediction accuracy.

 
 
 
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