Thresholds of oxidative stress in newly diagnosed diabetic patients on intensive glucose-control therapy

Rashmi Kulkarni1, Jhankar Acharya2, Saroj Ghaskadbi2

  • 1Department of Biology, Indian Institute of Science Education and Research, Pune, Maharashtra, India.

Plos One
|June 28, 2014
PubMed

Insights

Oxidative stress is central to type 2 diabetes. Monitoring glutathione levels alongside glucose can personalize treatment by predicting individual recovery from diabetes.

Area of Science:

  • Biochemistry
  • Endocrinology
  • Metabolic Diseases

Background:

  • Oxidative stress is implicated as a core mechanism in type 2 diabetes mellitus, affecting both beta-cell function and insulin resistance.
  • Reducing glycemic stress through treatment demonstrably lessens systemic oxidative stress, enhancing insulin sensitivity and beta-cell secretory capacity.

Purpose of the Study:

  • To develop a quantitative mathematical model for tracking serial changes in oxidative stress, using glutathione as a biomarker.
  • To assess the potential of monitoring oxidative stress in conjunction with glucose levels to predict individual patient recovery trajectories.

Main Methods:

  • A cohort of newly diagnosed type 2 diabetes patients was monitored for 8 weeks after initiating anti-diabetic therapy.
  • Oxidative stress was assessed via serial measurements of the antioxidant glutathione.
  • A mathematical model was developed to quantify recovery patterns, predicting individual responses based on glutathione levels and glucose thresholds.

Main Results:

  • The mathematical model revealed that recovery from diabetes is characterized by a quantal response.
  • Individual patient responses to glucose control varied significantly.
  • The model provides estimates for maximal glutathione at low stress, a glucose threshold for half-maximal glutathione, and the rate of recovery.

Conclusions:

  • The developed model offers a method to assess individual patient recovery relative to average responses.
  • Model estimates can guide the reassessment of treatment strategies for type 2 diabetes.
  • This approach holds promise for personalizing glucose control targets in anti-diabetic therapy.

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