scholarly journals STUDY OF RELATIONSHIP BETWEEN THE PROTEIN OXIDATION MARKERS AND ADIPOKINES IN OBESE TYPE 2 DIABETIC PATIENTS

2019 ◽  
pp. 204-209 ◽  
Author(s):  
SUKHPAL SINGH ◽  
AMITA MAHAJAN ◽  
JASPREET KAUR
Keyword(s):  
Blood Glucose ◽  
Protein Oxidation ◽  
Fasting Blood Glucose ◽  
Protein Carbonyl ◽  
Postprandial Blood Glucose ◽  
Diabetic Patients ◽  
Model Assessment ◽  
Type 2 Diabetic Patients ◽  
Type 2 Diabetic

Objective: This study was done to explore the correlation if any, between obesity markers adiponectin, leptin, and protein oxidative stress (OS) status in obese with and without type 2 diabetic mellitus (T2DM) patients. Methods: In the present study, 30 healthy subjects, 30 obese non-diabetics, and 30 obese T2DM patients were enrolled. Protein OS parameters such as advanced oxidation of protein products (AOPPs) and protein carbonyl (PC) were estimated. Serum leptin, adiponectin, and insulin levels were measured by ELISA. Results: The AOPP, PC, leptin, leptin adiponectin ratio (LAR), insulin, and homeostasis model assessment of insulin resistance (HOMA-IR) levels were significantly higher in obese non-diabetic and obese T2DM as compared to healthy control (p<0.001). However, serum adiponectin levels were significantly lower in obese non-diabetic and obese T2DM as compared to control (p<0.001). HOMA-IR and LAR both the index of IR were increased in obese non-diabetic and obese T2DM. Positive correlations were observed for AOPP with body mass index, PC in obese non-diabetic and with fasting blood glucose, postprandial blood glucose, HOMA-IR, and PC in obese T2DM. A negative correlation was found between PC and adiponectin in obese non-diabetic and obese T2DM. A significant inverse correlation was obtained between leptin and adiponectin in obese T2DM only. Conclusion: The present study suggested that increased protein OS, hyperinsulinemia, and hyperleptinemia may lead to hypoadiponectinemia in obese with and without T2DM. Moreover, determination of protein oxidation markers can be useful for monitoring the dysregulation of adipokines and glucose metabolism in obesity and T2DM.

scholarly journals The Application of Plasma 1,5-Anhydro-D-glucitol for Monitoring Type 2 Diabetic Patients

2005 ◽  
Vol 21 (3) ◽  
pp. 127-132 ◽  
Author(s):  
Marzena Dworacka ◽  
Hanna Winiarska
Keyword(s):  
Blood Glucose ◽  
Plasma Level ◽  
Multivariate Regression Analysis ◽  
Postprandial Blood Glucose ◽  
Effective Control ◽  
Diabetic Patients ◽  
Short Term ◽  
Type 2 Diabetic Patients ◽  
Type 2 Diabetic

Aim: Recent data have suggested that effective control of postprandial blood glucose can reduce the risk of macroangiopathic complications of diabetes, especially cardiovascular risk. 1,5-Anhydro-D-glucitol (1,5-AG) has been proposed as a marker of short-term hyperglycaemic excursions. We aimed to evaluate its usefulness in patients with type 2 diabetes and have attempted to indicate when 1,5-AG monitoring should be used in ordinary diabetes care settings. Methods: The study group consisted of 130 type 2 diabetic patients aged 36–69 years. 1,5-AG plasma level, HbA1c concentrations and daily glucose profile were measured. Mean blood glucose (MBG), M-value were calculated and maximal daily glycaemia (MxG) was established as indicators of short-term hyperglycaemic episodes. Results: 1,5-AG plasma level was negatively and HbA1c was positively correlated with fasting glycaemia (FG), MBG, M-value and MxG. Multivariate regression analysis revealed that 1,5-AG plasma level is determined by MxG only, while FG determined HbA1c concentration in blood. The analysis of 1,5-AG level and HbA1c distributions in well and poorly controlled patients revealed that persons with low HbA1c values may have decreased 1,5-AG plasma level. Conclusion: 1,5-AG plasma level monitoring is the useful method to identify well controlled, exclusively based on HbA1c levels type 2 diabetic patients with transient hyperglycaemia, accordingly patients at high risk of macroangiopathic complications.

scholarly journals Effect of High β-glucan Barley on Postprandial Blood Glucose and Insulin Levels in Type 2 Diabetic Patients

2020 ◽  
Vol 9 (1) ◽  
pp. 43 ◽  
Author(s):  
Yukie Fuse ◽  
Mariko Higa ◽  
Naoko Miyashita ◽  
Asami Fujitani ◽  
Kaoru Yamashita ◽  
...  
Keyword(s):  
Blood Glucose ◽  
Postprandial Blood Glucose ◽  
Diabetic Patients ◽  
Type 2 Diabetic Patients ◽  
Insulin Levels ◽  
Type 2 Diabetic

scholarly journals Association of 1,5-Anhydroglucitol and 2-h Postprandial Blood Glucose in Type 2 Diabetic Patients: Response to Schindhelm et al.

Diabetes Care ◽  
2008 ◽  
Vol 31 (11) ◽  
pp. e90-e90 ◽  
Author(s):  
C. Stettler ◽  
M. Stahl ◽  
S. Allemann ◽  
P. Diem ◽  
K. Schmidlin ◽  
...  
Keyword(s):  
Blood Glucose ◽  
Postprandial Blood Glucose ◽  
Diabetic Patients ◽  
Type 2 Diabetic Patients ◽  
Type 2 Diabetic

scholarly journals Correlation between fasting blood glucose, postprandial blood glucose and glycated hemoglobin in non-insulin treated type 2 diabetic subjects

2013 ◽  
Vol 1 (1) ◽  
pp. 18-21 ◽  
Author(s):  
L Shrestha ◽  
B Jha ◽  
B Yadav ◽  
S Sharma
Keyword(s):  
Diabetes Mellitus ◽  
Blood Glucose ◽  
Glycated Hemoglobin ◽  
Fasting Blood Glucose ◽  
University Teaching ◽  
Postprandial Blood Glucose ◽  
Diabetic Patients ◽  
Type 2 Diabetic ◽  
Better Than

Background: Diabetes mellitus (DM) comprises a group of common metabolic disorders that share phenotype of hyperglycemia. Objectives: This study was conducted to determine the correlation between glucose monitoring by fasting blood glucose or two hours postprandial blood glucose with glycated hemoglobin (HbA1c) in type 2 diabetic patients. Method: A cross sectional study was conducted over a period of six month in the Department of Biochemistry. Institute of Medical, Tribhuvan University Teaching Hospital. Sixty inpatients with Diabetes mellitus type 2 were assessed for daily fasting and postprandial blood sugar for 15 consecutive days. HbA1c was measured on the 15th day. Result: Both postprandial blood glucose and fasting blood glucose significantly correlated with HbA1c. Postprandial blood glucose showed better correlation to HbA1c than fasting blood glucose (r = 0.630, P <0.001 vs. r =0.452, P = 0.05). Conclusion: These results show that postprandial blood glucose correlated better than fasting blood glucose to HbA1c. Thus, postprandial blood glucose predicted overall glycemic control better than fasting blood glucose. This finding has potential implications for treatment and monitoring of metabolic control in type-2 diabetes. DOI: http://dx.doi.org/10.3126/stcj.v1i1.8654 Sunsari Technical College Journal Vol.1(1) 2012 18-21

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