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Peroxisome Proliferator Activated Receptor γ Coactivator-1 (PGC-1) Gly482Ser Varition is Associated with Type 2 Diabetes Mellitus in Chinese

Author: HuiYuanZuo
Tutor: SuBenLi
School: Dalian Medical University
Course: Internal Medicine
Keywords: Type 2 diabetes Gene Polymorphism Peroxisome proliferator-activated receptor γ coactivator -1 (PGC-1)
CLC: R587.1
Type: Master's thesis
Year: 2004
Downloads: 59
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Peroxisome proliferator-activated receptor γ (PPARγ) and insulin sensitivity has a close relationship, it is associated with insulin-sensitizing agent is combined with a high affinity, regulation of gene transcription, increased insulin sensitivity. The peroxisome proliferator-activated receptor γ coactivator -1 (PGC-1) is a nuclear receptor PPARγ transcriptional coactivator. PGC-1 involved in oxidative phosphorylation regulation of gene expression, can increase glucose transporter 4 (GluT4) expression, thereby increasing skeletal muscle glucose uptake. In addition, PGC-1 can promote phosphoenolpyruvate carboxylase kinase and glucose 6 - phosphatase expression, thereby increasing hepatic gluconeogenesis activities. PGC-1 gene is located on 4p15.1, genome-wide scan revealed that the area with the Pima Indians of fasting serum insulin concentration. Study found that in Denmark and the UK population PGC-1 Gly482Ser polymorphism and type 2 diabetes-related, while the French-American Caucasian population studies found no Gly482Ser polymorphism and type 2 diabetes. There is no Chinese population Gly482Ser polymorphism data, for which this study was to investigate the gene polymorphism in the Chinese population with the situation and the relationship between type 2 diabetes. Objective To study the peroxisome proliferator-activated receptor γ coactivator -1 (PGC-1) Gly482Ser polymorphism in the Chinese population, and to evaluate the polymorphism and type 2 diabetes correlation. Method China Dalian Han 238 cases were divided into diabetic group 140 people (male 69 cases, female 71 cases, with an average age of 62.60 ± 11.25 years), non-diabetic group (fasting glucose lt; 6.0mmol / L) 98 people (63 men cases, 35 females, mean age 61.95 ± 9.34 years), lt; WP = 5 gt; collected fasting blood genomic DNA, polymerase chain reaction (PCR) amplified fragment length of 507bp, and then use the MspI within at 37 ℃ for endonuclease digestion tank, separated by agarose gel electrophoresis, different genotypes (Gly / Gly, Gly / Ser, Ser / Ser). Measurement of fasting each subject, to coat, when barefoot height, weight; using chemical assay by enzyme serum total cholesterol, triglycerides, high-density lipoprotein, and blood glucose levels; radioimmunoassay (RIA) of insulin immune radioactivity Act (IRMA) measuring C-peptide levels. Results 1 genotype distribution of non-diabetic group of Gly / Gly 33%, Gly / Ser 52%, Ser / Ser 15%. Diabetic group genotype distribution of Gly / Gly 20%, Gly / Ser 51%, Ser / Ser 29%. Genotype distribution between the two groups was significant difference (χ2 = 8.469, P = 0.014). Allele in both groups there was a significant difference (χ2 = 7.656, P = 0.006). (2) non-diabetic population PGC-1Gly482Ser variation between the three genotypes body mass index (BMI), fasting plasma glucose (FPG), triglyceride (TG), total cholesterol (TC), high density lipoprotein cholesterol (HDL- Ch), fasting insulin (FINS), fasting C-peptide (FCP) and other more, there was no significant difference, P values ??were 0.678,0.535,0.525,0.796,0.338,0.810,0.068 3. diabetic population PGC-1Gly482Ser variation three genotypes between BMI, FPG, 2-hour postprandial glucose (2hPG), FINS, 2-hour postprandial insulin (2hINS), FCP, 2-hour postprandial C-peptide (2hCP), TG, TC, HDL-Ch comparison, there was no significant difference, P values ??were 0.223,0.941,0.300,0.083,0.754,0.622,0.052,0.796,0.678,0.231. Conclusions 1. China Dalian Han PGC-1 Gly482Ser polymorphism may be associated with type 2 diabetes-related. (2) in the non-diabetic population, and people with diabetes were not found Gly482Ser polymorphism on blood glucose, insulin, C-peptide and lipid levels affected.

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CLC: > Medicine, health > Internal Medicine > Endocrine diseases and metabolic diseases > Islet disease > Diabetes
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