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1.
Acta Pharmaceutica Sinica ; (12): 447-453, 2011.
Article in Chinese | WPRIM | ID: wpr-348935

ABSTRACT

Comparative pharmacokinetic (PK) analysis is often carried out throughout the entire period of drug development, the common approach for the assessment of pharmacokinetics between different treatments requires that the individual PK parameters, which employs estimation of 90% confidence intervals for the ratio of average parameters, such as AUC and Cmax, these 90% confidence intervals then need to be compared with the pre-specified equivalent interval, and last we determine whether the two treatments are equivalent. Unfortunately in many clinical circumstances, some or even all of the individuals can only be sparsely sampled, making the individual evaluation difficult by the conventional non-compartmental analysis. In such cases, nonlinear mixed effect model (NONMEM) could be applied to analyze the sparse data. In this article, we simulated a sparsely sampling design trial based on the dense sampling data from a truly comparative PK study. The sparse data were analyzed with NONMEM method, and the original dense data were analyzed with non-compartment analysis. Although the trial design and analysis methods are different, the 90% confidence intervals for the ratio of PK parameters based on 1000 Bootstrap are very similar, indicated that the analysis based on NONMEM is a reliable method to treat with the sparse data in the comparative pharmacokinetic study.


Subject(s)
Humans , Area Under Curve , Confidence Intervals , Nonlinear Dynamics , Pharmacokinetics , Sampling Studies
2.
Chinese Journal of Hematology ; (12): 90-93, 2005.
Article in Chinese | WPRIM | ID: wpr-229899

ABSTRACT

<p><b>OBJECTIVE</b>To compare p27 interfering effect on the proliferation and hematopoietic potential of hematopoietic progenitor cells (HPC) derived from human bone marrow (BM) and umbilical cord blood (UCB), and investigate the related mechanism.</p><p><b>METHODS</b>CD34(+) cells sorted from human BM by flow cytometry and isolated from UCB by a magnetic isolation system were infected with retrovirus-p27 antisense cDNA (p27AS) and cultured with cocktail-cytokines. The cell proliferation capacities were detected by cell growth curve and DNA content analysis, and the hematopoietic potential by colony formation assay. The protein expression of p27 and CDK2 were measured with Western blot. CD34(+) cells infected with retrovirus-p27 sense cDNA (p27SE) and virus-green fluorescence protein (GFP) were used as the control.</p><p><b>RESULTS</b>Comparing with groups of GFP and p27SE, p27AS showed to accelerate the expansion of UCB HPC significantly (P < 0.01), the cell number of p27AS, p27SE and GFP increased by 197.3 +/- 47.7-, 12.7 +/- 8.1- and 41.8 +/- 30.6- fold respectively by the end of the 9-day culture, the BM HPC increased by 36.0 +/- 22.3-, 8.7 +/- 6.8- and 14.1 +/- 10.4-fold respectively in the same time as UCB HPC. Cell cycle analysis showed p27AS mainly promoted S phase of BM and UCB HPC. S phase cell percentages of UCB HPC infected with p27AS, p27SE and GFP were (17.0 +/- 4.8)%, (2.0 +/- 0.8)% and (4.1 +/- 1.8)% and that of BM HPC were (8.4 +/- 4.4)%, (1.0 +/- 0.7)% and (3.8 +/- 1.4)% respectively. The yields of colony formation of p27AS for BM and UCB was higher than that for GFP (P < 0.05). Western blot demonstrated the expression of p27 reduced in the p27AS group, while CDK2 increased in the group. The virus infection rate, cell growth rate and colony forming yields of BM HPC was inferior to that of UCB HPC.</p><p><b>CONCLUSIONS</b>p27 gene interfering could promote HPC proliferation, hematopoietic potential and the response to stimulations of UCB HPC is higher than that of BM HPC ex vivo. It seems that cell cycle controlled by p27 was related to CDK2.</p>


Subject(s)
Humans , Infant, Newborn , Antigens, CD34 , Blood , Blotting, Western , Bone Marrow Cells , Cell Biology , Metabolism , Cell Cycle , Cell Proliferation , Cells, Cultured , Cyclin-Dependent Kinase 2 , Genetics , Metabolism , Cyclin-Dependent Kinase Inhibitor p27 , Genetics , Metabolism , DNA, Antisense , Genetics , Fetal Blood , Cell Biology , Metabolism , Green Fluorescent Proteins , Genetics , Metabolism , Plasmids , Genetics , Retroviridae , Genetics , Transfection
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