Literature DB >> 27810687

Relationship between daily and day-to-day glycemic variability and increased oxidative stress in type 2 diabetes.

Makoto Ohara1, Tomoyasu Fukui2, Motoshi Ouchi3, Kentaro Watanabe4, Tatsuya Suzuki5, Saki Yamamoto2, Takeshi Yamamoto2, Toshiyuki Hayashi2, Kenzo Oba6, Tsutomu Hirano2.   

Abstract

AIMS: To determine the association of daily and day-to-day glucose variability with oxidative stress.
METHODS: This was a cross-sectional analysis of 68 patients with type 2 diabetes mellitus (T2DM) over 72h of continuous glucose monitoring. Fasting plasma glucose (FPG) and hemoglobin A1c (HbA1c) were measured before breakfast on day 1. Glucose variability, mean glucose level (MGL), mean amplitude of glycemic excursions (MAGE), mean of daily differences (MODD) in glucose levels and area under the postprandial plasma glucose curve (AUCPP) were measured on days 2 and 3. Plasma oxidant capacity against N,N-diethylparaphenylenediamine was measured with the diacron-reactive oxygen metabolites (d-ROMs) test on day 1.
RESULTS: Overall, 66.2% males with the mean age of 63.2±12.6years, diabetes duration of 12.9±10.4years, and HbA1c level of 8.1±1.6% (65±17mmol/mol) were included. MGL (r=0.330), HbA1c (r=0.326), MAGE (r=0.565), MODD (r=0.488), and AUCPP (r=0.254) exhibited significant correlations with d-ROMs and not FPG; these correlations remained significant after adjustment for clinical factors (sex, age, duration of diabetes, smoking habit, insulin use, statin use, angiotensin II receptor blocker use, BMI, LDL-C, HDL-C, TG, eGFR, and systolic blood pressure) (R2=0.268, R2=0.268, R2=0.417, R2=0.314, and R2=0.347, respectively). MAGE was significantly correlated with MODD (r=0.708) and MAGE and MODD were independently correlated with d-ROMs by multivariate analysis.
CONCLUSIONS: Therefore, oxidative stress is associated with daily and day-to-day glucose variability in patients with T2DM.
Copyright © 2016 The Author(s). Published by Elsevier Ireland Ltd.. All rights reserved.

Entities:  

Keywords:  Diacron-reactive oxygen metabolites; Glucose monitoring; Glucose variability; Oxidative stress; Type 2 diabetes mellitus

Mesh:

Substances:

Year:  2016        PMID: 27810687     DOI: 10.1016/j.diabres.2016.09.025

Source DB:  PubMed          Journal:  Diabetes Res Clin Pract        ISSN: 0168-8227            Impact factor:   5.602


  31 in total

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Journal:  Endocrine       Date:  2018-02-06       Impact factor: 3.633

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8.  Small changes in glucose variability induced by low and high glycemic index diets are not associated with changes in β-cell function in adults with pre-diabetes.

Authors:  Kristina M Utzschneider; Tonya N Johnson; Kara L Breymeyer; Lisa Bettcher; Daniel Raftery; Katherine M Newton; Marian L Neuhouser
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9.  The association of long-term glycaemic variability versus sustained chronic hyperglycaemia with heart rate-corrected QT interval in patients with type 2 diabetes.

Authors:  Jian-Bin Su; Xiao-Hua Yang; Xiu-Lin Zhang; Hong-Li Cai; Hai-Yan Huang; Li-Hua Zhao; Feng Xu; Tong Chen; Xing-Bo Cheng; Xue-Qin Wang; Yan Lu
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10.  Association of Body Fat Percentage with Time in Range Generated by Continuous Glucose Monitoring during Continuous Subcutaneous Insulin Infusion Therapy in Type 2 Diabetes.

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Journal:  J Diabetes Res       Date:  2021-05-28       Impact factor: 4.011

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