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1.
Journal of Chinese Physician ; (12): 1850-1852, 2017.
Article in Chinese | WPRIM | ID: wpr-705762

ABSTRACT

Objective To investigate the expression of glucagon-like peptide-1 receptor (GLP-1R) of skeletal muscle cells and the changes of skeletal muscle microstructure of diabetic rats, and to explore the relationship between the expressions of GLP-1R and insulin resistance in skeletal muscle. Methods Male Wistar rats were divided into two groups, normal glucose tolerance ( NT, n =25 ) , diabetes group ( DM group, n=30), the methods of creating diabetes model were used high-sugar high-fat diet and low-dose in-traperitoneal injection of streptozotocin. Immunohistochemical methods was used to detect the expression of GLP-1R in the muscle cells. The number of GLP-1R positive cells in the muscle of two groups was observed and compared. The relationship was analyzed between the homeostasis model assessment insulin resistance (HOMA-IR) and the number of GLP-1R positive cells. Results ⑴Compared to the NT group, the num-ber of GLP-1R positive cells in muscle of DM group was decreased (P<0. 05); ⑵ Compared to the NT group, HOMA-IR was increased in DM group (P<0. 05);⑶ Pearson correlation analysis showed that the percentage of GLP-1R positive cells expressed in rat skeletal muscle was negatively correlated with HOMA-IR (r= -0. 538, P<0. 01). Conclusions The expression of GLP-1R positive cells was decreased in the skeletal muscle of diabetic rats, insulin resistance increased. Therefore, the expression of GLP-1R on skele-tal muscle cells may promote the development of insulin resistance and diabetes mellitus.

2.
Journal of Chinese Physician ; (12): 757-759,764, 2011.
Article in Chinese | WPRIM | ID: wpr-597864

ABSTRACT

Objective To evaluate the relationship between serum levels of leptin, endothelin and diabetic retinopathy in type 2 diabetes patients. Methods Leptin, endothelia, FBG, PBG, HBA1C, CHOL, TG and other clinical characteristics were tested in 80 type2 diabetes patients and 30 control case. All diabetes patients were divided into three group: non-diabetic retinopathy (NDR), non-proliferative diabetic retinopathy (NPDR) and proliferative diabetic retinopathy(PDR) according to the examination results of fundus. Correlations between levels of serum leptin and other parameters were analyzed. Results Plasma level of leptin in the type 2 diabetes with PDR group[(17.41±5.81)μg/L] were higher than that in control, NPDR and NDR group (P<0.01). Plasma level of ET in the type 2 diabetes with PDR group[(80.68±13.57)mg/L] were higher than that in control, NPDR and NDR group (P<0.01). The serum leptin levels were positively correlated with BMI(r=0.468,P<0.01). Conclusions Serum leptin and endothelin levels were elevated in patient with diabetic retinopathy as diabetic retinopathy aggravated and serum level of leptin and endothelin raised.

3.
Journal of Chinese Physician ; (12): 1616-1619, 2010.
Article in Chinese | WPRIM | ID: wpr-385066

ABSTRACT

Objective To explore the relationship between the plasma membrane glycoprotein ( PC-1 ) gene and obesity, type 2 diabetes mellitus, insulin resistance in Chinese population. Methods 53 norma1 subjects, 105 simple obesity subjects, 63 type 2 diabetic patients and 114 obesity type 2 diabetics have been genotyped with PCR-RFLP. Results The frequency of PC-1 gene Q allele was 3%, 18%, 4% and 30% in control, obesity subjects, diabetic patients and obesity diabetic individuals, respectively. Compared with control group, the relative risk (RR) in OB group, OBH grop, OBI group, OBL group and OBHIL group was 4. 26,4. 12,7. 36,5. 15 and 9. 70, respectively. Compared with diabetes group, the RR in diabetes with DMOB, diabetes with OBH group, diabetes with OBI group, diabetes with OBL group and diabetes with OBHIL group was 5.23,7. 37,12. 07,8. 53 and 13. 50, respectively. Concluision The frequency of PC-1 gene Q allele were significantly associated with obesity, obesity diabetics and insulin resistance in Chinese. The results suggested that the PC-1 gene Q allele was a potential genetic marker for obesity, type 2 diabetes and insulin resistance.

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