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Related Concept Videos

Hyperglycemia01:29

Hyperglycemia

Hyperglycemia is an abnormally high blood glucose level. It is diagnosed by fasting glucose ≥126 mg/dL, 2-hour oral glucose tolerance test (or OGTT) ≥200 mg/dL, random glucose ≥200 mg/dL with symptoms, or HbA1c ≥6.5%. However, HbA1c results may be unreliable in certain conditions, such as anemia or hemoglobinopathies, and the diagnosis should be confirmed unless classic symptoms are present. Postprandial hyperglycemia is typically considered significant when glucose levels exceed 180 mg/dL two...

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Related Experiment Video

Updated: Jun 11, 2026

Autofluorescence Imaging to Evaluate Cellular Metabolism
07:36

Autofluorescence Imaging to Evaluate Cellular Metabolism

Published on: November 15, 2021

Skin autofluorescence and glycemic variability.

M J Noordzij1, J D Lefrandt, R Graaff

  • 1Division of Vascular Medicine, Department of Internal Medicine, University Medical Center, Groningen, The Netherlands. m.j.noordzij@int.umcg.nl

Diabetes Technology & Therapeutics
|July 6, 2010
PubMed
Summary

Skin autofluorescence (SAF), a measure of advanced glycation end products (AGEs), is not affected by short-term glucose changes but can predict diabetes complications better than HbA1c. SAF is a promising tool for early diabetes detection.

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Last Updated: Jun 11, 2026

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Published on: November 24, 2013

Area of Science:

  • Endocrinology
  • Metabolic Diseases
  • Biomarkers

Background:

  • Advanced glycation end products (AGEs) accumulate during glycemic and oxidative stress, predicting diabetes mellitus (DM) complications.
  • Skin autofluorescence (SAF) offers a noninvasive method to measure AGEs.

Purpose of the Study:

  • To investigate the relationship between SAF and short- and intermediate-term glycemic variations.
  • To evaluate SAF's utility in predicting diabetes complications and diagnosing impaired glucose tolerance (IGT) and DM.

Main Methods:

  • Review of existing literature and presentation of original data.
  • Measurement of SAF in individuals with varying glucose tolerance and in patients with type 1 and type 2 DM.
  • Correlation analysis of SAF with glycemic control markers (HbA1c) and complication incidence.

Main Results:

  • Acute glycemic changes did not affect SAF.
  • AGE-rich meals caused a transient postprandial increase in SAF.
  • SAF predicted diabetes complications more accurately than HbA1c.
  • SAF demonstrated higher sensitivity than fasting glucose or HbA1c for diagnosing IGT and DM.

Conclusions:

  • SAF is independent of short-term glycemic fluctuations but reflects AGE accumulation.
  • SAF shows significant value in predicting diabetes complications and early diagnosis of IGT and DM.
  • SAF is a promising noninvasive tool for diabetes management and risk assessment.