Abstract

BackgroundThis study aimed to investigate the differences in oxidative stress (OS) levels represented by 8-iso-prostaglandin F2α (8-iso-PGF2α) and analyze its correlation with the intra-abdominal fat (IAF) area and the glycolipid index.MethodsWe recruited a total of 160 eligible subjects. According to the blood glucose levels and the T2DM duration, subjects were divided into three groups: Type 2 Diabetes (T2DM) group, Prediabetic group, and Normal glucose-tolerance (NC) group, containing 66, 41, 53 patients, respectively. T2DM groups were additionally divided into a new-onset T2DM group including 29 patients and a non-new-onset T2DM group including 37 patients. General clinical data and biochemical indicators were collected. Intra-abdominal fat (IAF) was measured by MRI. 8-iso-PGF2α was measured by ELISA.ResultsCompared with the NC group, levels of systolic blood pressure (SBP), waist-to-hip ratio (WHR), FBG, 2 h postprandial glycemia(2hPG), 2 h insulin (2 h INS), IAF area, HOMA-IR, and 8-iso-PGF2α increased, and high-density lipoprotein cholesterol (HDL-C) decreased in T2DM groups and Prediabetic group (P < 0.05). The 2 h INS level was the highest in the Prediabetic group; 2hPG, and IAF area were the highest in the new-onset T2DM group; WHR, FBG, HOMA-IR and 8-iso-PGF2α were the highest in the non-new-onset T2DM group. Multiple stepwise regression analysis identified IAF area and FBG as the strongest and independent determinant of 8-iso-PGF2α (P < 0.01).ConclusionsIn various glycometabolism populations, 8-iso-PGF2α is significantly correlated with FBG and IAF, this suggests that high blood glucose and abdominal obesity can increase the damage related to the OS in vivo.

Highlights

  • This study aimed to investigate the differences in oxidative stress (OS) levels represented by 8-isoprostaglandin F2α (8-iso-PGF2α) and analyze its correlation with the intra-abdominal fat (IAF) area and the glycolipid index

  • Comparison of clinical data and biochemical indicators among different groups There was no difference in age, Body mass index (BMI), DBP, Waist circumference (WC), Hip circumference (HC), TG, TC, LDL-c and Fasting insulin (FINS) among groups (P > 0.05); while systolic blood pressure (SBP), waist-to-hip ratio (WHR), Fasting blood glucose (FBG), 2hPG, 2 h 2 h insulin (INS), IAF area, HOMA-Insulin resistance (IR), and 8-iso-PGF2α were all increased, and high-density lipoprotein cholesterol (HDL-C) decreased in Prediabetic group, New-onset Type 2 diabetes mellitus (T2DM), and non-new onset T2DM groups compared to the Normal glucose-tolerance (NC) group (P < 0.05)

  • Correlation between 8-iso-PGF2α and different indexes in various impaired glucose-regulation populations Pearson correlation analysis (Table 2) showed that 8-isoPGF2α level in blood was positively correlated with BMI, WC, HC, WHR, FBG, 2hPG, FINS, IAF area, Homeostasis model assessment-insulin resistance (HOMA-IR) (P < 0.05), and negatively correlated with HDL-C (r = − 0.205, P = 0.012)

Read more

Summary

Introduction

This study aimed to investigate the differences in oxidative stress (OS) levels represented by 8-isoprostaglandin F2α (8-iso-PGF2α) and analyze its correlation with the intra-abdominal fat (IAF) area and the glycolipid index. The number of people suffering from diabetes has increased approximately four times from 1980 to 2014, affecting 5% of the world’s population [1]. Chronic inflammation and oxidative stress (OS) have been suggested as important factors in the occurrence and development of Type-2 Diabetes (T2DM) [2, 3]. Oxidative stress increases the mitochondrial electron transport chain (ETC) activity and reactive oxygen species (ROS) production [5, 6]. Previous studies have demonstrated that 8-iso-PGF2α can be used as a relevant factor for predicting the capacity of blood glucose control and internal oxidation in patients with T2DM, as well as a reliable laboratory index for predicting prediabetes (impaired glucose tolerance) [12,13,14]. 8-iso-PGF2α is a valuable biomarker for the evaluation of the level of peroxidation in various glycometabolism populations

Objectives
Methods
Results
Discussion
Conclusion

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.