scholarly journals The Insulin-Like Growth Factor System in Obesity, Insulin Resistance and Type 2 Diabetes Mellitus

2014 ◽  
Vol 3 (4) ◽  
pp. 1561-1574 ◽  
Author(s):  
Moira Lewitt ◽  
Mairi Dent ◽  
Kerstin Hall
Keyword(s):  
Diabetes Mellitus ◽  
Insulin Resistance ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Growth Factor ◽  
Insulin Like Growth Factor ◽  
Factor System

scholarly journals Study of Insulin Resistance in Patients with Cancer

2020 ◽  
Vol 26 (2) ◽  
Author(s):  
Tamara Vatseba
Keyword(s):  
Diabetes Mellitus ◽  
Insulin Resistance ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Growth Factor ◽  
Control Group ◽  
Model Assessment ◽  
Insulin Like Growth Factor ◽  
Patients With Cancer

Abstract. The pro-oncogenic effects of obesity, insulin resistance and hyperinsulinemia have been proven in some types of cancer, as well as in type 2 diabetes mellitus. The objective of the research was to investigate the state of insulin resistance in patients suffering from oncological diseases and to compare insulin correlations in patients with type 2 diabetes mellitus and those with cancer. Materials and Methods. The study included the following groups of patients: Group I included healthy individuals (the control group); Group II comprised patients with type 2 diabetes mellitus; Group ІІІ included patients with cancer: subgroup IIIa comprised patients with breast cancer, subgroup IIIb included patients with endometrial cancer, subgroup IIIс comprised patients with colorectal cancer. Fasting blood glucose was determined by glucose oxidase method; hemoglobin A1c was determined by ion exchange chromatography; the levels of insulin and insulin-like growth factor-1 were determined by immune-enzyme method. Insulin resistance was assessed by the homeostatic model assessment for insulin resistance index. The results obtained were analyzed using statistical analysis. Results. Obesity was confirmed in all the groups of patients with cancer. Significantly higher body mass index, as compared to the control group, was found in patients with endometrial cancer (p = 0.008). In comparison with the control group, the levels of insulin and insulin-like growth factor-1 increased significantly in all groups of patients with cancer (p < 0.001). Fasting blood sugar levels and hemoglobin A1c did not differ from the indicators in the control group (p > 0.05). Direct correlations between insulin and body mass index (p < 0.05), insulin-like growth factor-1 (p < 0.05) and the homeostatic model assessment for insulin resistance index in patients of Group II and Group III were detected (p < 0.05). Conclusions. In obese patients with breast, uterine and colorectal cancer, there was found a decrease in insulin sensitivity, which might increase the proliferative effects of insulin and insulin-like growth factor-1. Correlation analysis showed a probable association of cancer and diabetes mellitus due to obesity and insulin resistance.

scholarly journals Association Between Insulin-like Growth Factor-1 rs35767 Polymorphism and Type 2 Diabetes Mellitus Susceptibility: A Meta-Analysis

2021 ◽  
Vol 12 ◽  
Author(s):  
Qiaoli Zeng ◽  
Dehua Zou ◽  
Qiaodi Zeng ◽  
Xiaoming Chen ◽  
Yue Wei ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Growth Factor ◽  
Fixed Effects ◽  
Meta Analysis ◽  
Genetic Models ◽  
Insulin Like Growth Factor ◽  
Allele Model

Background: Insulin-like growth factor-1 (IGF-1) has been demonstrated to increase fatty acid β oxidation during fasting, and play an important role in regulating lipid metabolism and type 2 diabetes mellitus (T2DM). The rs35767 (T &gt; C) polymorphism, a functional SNP was found in IGF-1 promoter, which may directly affect IGF-1 expression. However, the inconsistent findings showed on the IGF-1 rs35767 polymorphism and T2DM risk.Methods: We performed a comprehensive meta-analysis to estimate the association between the IGF-1 rs35767 and T2DM risk among four genetic models (the allele, additive, recessive and dominant models).Results: A total 49,587 T2DM cases and 97,906 NDM controls were included in the allele model, a total 2256 T2DM cases and 2228 NDM controls were included in the other three genetic models (the additive; recessive and dominant models). In overall analysis, the IGF-1 rs35767 was shown to be significantly associated with increased T2DM risk for the allele model (T vs. C: OR = 1.251, 95% CI: 1.082–1.447, p = 0.002), additive model (homozygote comparisons: TT vs. CC: OR = 2.433, 95% CI: 1.095–5.405, p = 0.029; heterozygote comparisons: TC vs. CC: OR = 1.623, 95% CI: 1.055–2.495, p = 0.027) and dominant model (TT + CT vs. CC: OR = 1.934, 95% CI: 1.148–3.257, p = 0.013) with random effects model. After omitting Gouda’s study could reduce the heterogeneity, especially in the recessive model (TT vs. CC + CT: I2 = 38.7%, p = 0.163), the fixed effects model for recessive effect of the T allele (TT vs. CC + CT) produce results that were of borderline statistical significance (OR = 1.206, 95% CI: 1.004–1.448, p = 0.045). And increasing the risk of T2DM in Uyghur population of subgroup for the allele model.Conclusion: The initial analyses that included all studies showed statistically significant associations between the rs35767 SNP and type 2 diabetes, but after removing the Gouda et al. study produced results that were mostly not statistically significant. Therefore, there is not enough evidence from the results of the meta-analysis to indicate that the rs35767 SNP has a statistically significant association with type 2 diabetes.

scholarly journals Insulin‐like growth factor‐1 is inversely associated with liver fibrotic markers in patients with type 2 diabetes mellitus

2019 ◽  
Vol 10 (4) ◽  
pp. 1083-1091 ◽  
Author(s):  
Shozo Miyauchi ◽  
Teruki Miyake ◽  
Masumi Miyazaki ◽  
Toru Eguchi ◽  
Tetsuji Niiya ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Growth Factor ◽  
Insulin Like Growth Factor
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