Literature DB >> 19320663

A randomized clinical trial comparing the effect of basal insulin and inhaled mealtime insulin on glucose variability and oxidative stress.

S E Siegelaar1, W Kulik, H van Lenthe, R Mukherjee, J B L Hoekstra, J H Devries.   

Abstract

AIM: To assess the effect of three times daily mealtime inhaled insulin therapy compared with once daily basal insulin glargine therapy on 72-h glucose profiles, glucose variability and oxidative stress in type 2 diabetes patients.
METHODS: In an inpatient crossover study, 40 subjects with type 2 diabetes were randomized to receive 9 days of inhaled insulin three times daily before meals or 9 days of glargine administered in the morning before breakfast in a randomized order. During the last 72 h in each phase, glucose was measured with continuous glucose monitoring. Activation of oxidative stress was measured by determining the 15(S)-8-iso-PGF(2alpha)-secretion in 24-h urine samples.
RESULTS: Inhaled insulin improved overall and postprandial glucose control significantly better than insulin glargine (p < 0.0001). There was a trend towards a greater reduction in glucose variability (8-9%) in the inhaled group [p = 0.1430 and p = 0.3298 for mean amplitude of glycaemic excursions (MAGEs) and mean of daily differences respectively]. Oxidative stress, estimated by determining the urinary isoprostane excretion (15(S)-8-iso-PGF(2alpha)), was equally reduced from baseline by both treatments. No correlation was found between glucose variability and oxidative stress in both groups.
CONCLUSIONS: This study showed a mealtime insulin approach to improve glycaemic control more than a basal insulin approach. These findings indicate also that lowering glucose using insulin treatment lowers oxidative stress over time, at least for the study period of 9 days, in type 2 diabetes patients. Contrary to earlier data, we found no correlation between glucose variability (MAGE) and oxidative stress (15(S)-8-iso-PGF(2alpha)) in this study.

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Year:  2009        PMID: 19320663     DOI: 10.1111/j.1463-1326.2009.01037.x

Source DB:  PubMed          Journal:  Diabetes Obes Metab        ISSN: 1462-8902            Impact factor:   6.577


  8 in total

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Authors:  E E Blaak; J-M Antoine; D Benton; I Björck; L Bozzetto; F Brouns; M Diamant; L Dye; T Hulshof; J J Holst; D J Lamport; M Laville; C L Lawton; A Meheust; A Nilson; S Normand; A A Rivellese; S Theis; S S Torekov; S Vinoy
Journal:  Obes Rev       Date:  2012-07-11       Impact factor: 9.213

2.  No relevant relationship between glucose variability and oxidative stress in well-regulated type 2 diabetes patients.

Authors:  Sarah E Siegelaar; Temo Barwari; Wim Kulik; Joost B Hoekstra; J Hans DeVries
Journal:  J Diabetes Sci Technol       Date:  2011-01-01

3.  The effects of 2 weeks of interval vs continuous walking training on glycaemic control and whole-body oxidative stress in individuals with type 2 diabetes: a controlled, randomised, crossover trial.

Authors:  Kristian Karstoft; Margaret A Clark; Ida Jakobsen; Ida A Müller; Bente K Pedersen; Thomas P J Solomon; Mathias Ried-Larsen
Journal:  Diabetologia       Date:  2016-12-09       Impact factor: 10.122

4.  Counterpoint: postprandial glucose levels are not a clinically important treatment target.

Authors:  Mayer B Davidson
Journal:  Diabetes Care       Date:  2010-08       Impact factor: 19.112

5.  Association of glycemic variability and the presence and severity of coronary artery disease in patients with type 2 diabetes.

Authors:  Gong Su; Shuhua Mi; Hong Tao; Zhao Li; Hongxia Yang; Hong Zheng; Yun Zhou; Changsheng Ma
Journal:  Cardiovasc Diabetol       Date:  2011-02-25       Impact factor: 9.951

6.  A decrease in glucose variability does not reduce cardiovascular event rates in type 2 diabetic patients after acute myocardial infarction: a reanalysis of the HEART2D study.

Authors:  Sarah E Siegelaar; Lisa Kerr; Scott J Jacober; J Hans Devries
Journal:  Diabetes Care       Date:  2011-04       Impact factor: 19.112

7.  Analysis of the Impact of Medical Features and Risk Prediction of Acute Kidney Injury for Critical Patients Using Temporal Electronic Health Record Data With Attention-Based Neural Network.

Authors:  Zhimeng Chen; Ming Chen; Xuri Sun; Xieli Guo; Qiuna Li; Yinqiong Huang; Yuren Zhang; Lianwei Wu; Yu Liu; Jinting Xu; Yuming Fang; Xiahong Lin
Journal:  Front Med (Lausanne)       Date:  2021-06-04

Review 8.  Glycemic variability and oxidative stress: a link between diabetes and cardiovascular disease?

Authors:  Yoshifumi Saisho
Journal:  Int J Mol Sci       Date:  2014-10-13       Impact factor: 5.923

  8 in total

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