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Visualizing and Quantifying Pharmaceutical Compounds within Skin using Coherent Raman Scattering Imaging
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Quantifying the composition of human skin for glucose sensor development.

Willemijn Groenendaal1, Golo von Basum, Kristiane A Schmidt

  • 1Department of Biomedical Engineering, Biomodeling and Bioinformatics Group, Eindhoven University of Technology, Eindhoven, The Netherlands. W.Groenendaal@tue.nl

Journal of Diabetes Science and Technology
|October 6, 2010
PubMed
Summary

Human skin composition varies between individuals, significantly impacting glucose dynamics. Understanding these variations is crucial for developing accurate glucose measurement methods for skin.

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Area of Science:

  • Biomedical Engineering
  • Dermatology
  • Computational Biology

Background:

  • Glucose distribution in human skin is heterogeneous.
  • Accurate quantification of skin compartments and understanding glucose transport are vital for developing non-invasive glucose monitoring.
  • Intersubject variability in skin composition affects glucose dynamics.

Purpose of the Study:

  • To quantify the composition of human skin layers (epidermis, dermis, adipose tissue).
  • To investigate how intersubject variability in skin composition influences glucose dynamics.
  • To identify critical skin volumes for accurate glucose measurement and interpretation.

Main Methods:

  • Skin biopsies were used to calculate cell and blood vessel volumes.
  • Literature data was integrated with biopsy results.
  • A computational model simulated spatiotemporal glucose dynamics using quantified skin composition.
  • The model predicted the impact of skin composition variability on glucose profiles.

Main Results:

  • Epidermal glucose dynamics' lag time was sensitive to interstitial fluid, cell, and blood volumes across all skin layers.
  • Adipose tissue exhibited the most significant variation and uncertainty in volume composition.
  • Variability in adipose tissue composition primarily influenced glucose dynamics within that layer.

Conclusions:

  • Intersubject variability in human skin composition significantly impacts glucose dynamics.
  • Specific skin volumes critical for quantification and interpretation in different layers were identified.
  • Findings provide essential insights for developing and refining non-invasive glucose monitoring technologies.