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Pengfei Du

Publications and source records attributed to Pengfei Du.

3 recordsLinked to original sources

Glucose and lipid metabolism in relation to novel polymorphisms in the 5'-AMP-activated protein kinase gamma2 gene in Chinese.

The 5'-AMP-activated protein kinase (AMPK) behaves as a fuel sensor in glucose and lipid metabolism. We sequenced exon 1 and flanking regions of the gene encoding for the gamma2 subunit of AMPK (AMPKgamma2) and identified two novel common polymorphisms at position -26 and IVS1+43. We then studied these two polymorphisms in relation to plasma glucose, insulin resistance, beta-cell function, and serum lipids in 290 Han Chinese undergoing an oral glucose tolerance test and a frequently sampled intravenous glucose tolerance test. The -26C/T and IVS1+43C/T polymorphisms were in tight linkage disequilibrium (P=0.0002). In adjusted categorical analyses, the -26TT genotype tended to be associated with a higher risk of type 2 diabetes (odds ratio 4.52, P=0.07). The adjusted continuous analyses were confirmatory. -26TT subjects, compared with -26C allele carriers, had higher concentrations of plasma glucose, both fasting (7.3 vs. 6.1 mmol/L, P=0.02) and after oral glucose loading (area under the curve for glucose, 1984 vs. 1596 minmmol/L, P=0.002), and had lower acute insulin response to glucose (143 vs. 404, P=0.0005) and disposition index (151 vs. 459, P=0.008). In further adjusted analyses, we observed that IVS1+43TT subjects, compared with IVS1+43C allele carriers, had significantly higher serum concentrations of triglycerides (4.20 vs. 2.00 mmol/L, P<0.0001) and total cholesterol (5.88 vs. 4.99 mmol/L, P=0.01). In conclusion, in Chinese, the AMPKgamma2 polymorphisms might be associated with glucose and lipid metabolism.

AMP-Activated Protein Kinases↗

[Comparison of parameter optimization algorithms for environmental model].

Parameters identification is achieved through the minimization of objective function based on model outputs and the observed data. Because of ever increasing complexity of environmental-models, there are significant difficulty for conventional optimal methods to present a global optimization. On the contrast, however, direct optimization algorithms are widely developed in recent years due to increasing computer efficiency and show promising applications. Four direct optimal algorithms, i.e. CRS algorithm, SCE UA algorithm, SA algorithm and Annealing-Simplex algorithm, were thus selected in this paper to compare their performances via case studies.

Algorithms↗

[Parameters identification and uncertainty analysis for environmental model].

This paper examined a case study of hydrological model for identifying parameter uncertainty by using three sensitivity analysis methods: HSY algorithm, linear regressional method and coupling analysis method. The results showed that optimal algorithms cannot give a sound explanation for complexity of model structure and identifying model parameters via uncertainty analysis methods presented an effective alternative to understand model system.

Algorithms↗