Quantitative Assessment of Low-Dose Photodynamic Therapy Effects on Diabetic Wound Healing Using Raman Spectroscopy

Hala Zuhayri1, Alice A Samarinova1, Alexey V Borisov1

  • 1Laboratory of Laser Molecular Imaging and Machine Learning, Tomsk State University, Lenin Ave. 36, Tomsk 634050, Russia.

Pharmaceutics
|February 25, 2023
PubMed

Insights

Low-dose photodynamic therapy (LDPDT) effectively promotes diabetic wound healing in mice. Raman spectroscopy noninvasively assessed healing by analyzing molecular changes in the skin.

Area of Science:

  • Biomedical Engineering
  • Photomedicine
  • Dermatology

Background:

  • Diabetic wound healing is a significant clinical challenge due to complex molecular mechanisms.
  • Delayed healing in diabetes involves numerous physiological variables.
  • Low-dose photodynamic therapy (LDPDT) shows promise for tissue rejuvenation and wound healing.

Purpose of the Study:

  • To investigate the efficacy of LDPDT on diabetic wound healing in a mouse model.
  • To evaluate the impact of different photosensitizers (5-aminolevulinic acid, methylene blue) and laser doses (1 J/cm², 4 J/cm²).
  • To develop a noninvasive method for quantitative assessment of diabetic wound healing using Raman spectroscopy.

Main Methods:

  • Utilized LDPDT with two photosensitizers and two laser doses on diabetic mouse wounds.
  • Employed Raman spectroscopy (RS) as a noninvasive technique to analyze tissue molecular composition.
  • Developed a quantitative assessment approach using principal component analysis and Mahalanobis metrics on skin Raman spectra (Amide I and CH₂ bands).

Main Results:

  • LDPDT demonstrated positive effects on diabetic wound healing.
  • Raman spectroscopy provided specific molecular and structural information about the tissue state.
  • The developed RS-based approach enabled in vivo quantitative assessment of wound healing progression.

Conclusions:

  • LDPDT is a promising therapeutic strategy for accelerating diabetic wound healing.
  • Raman spectroscopy offers a valuable noninvasive tool for monitoring wound healing.
  • Quantitative analysis of Raman spectra can effectively assess the in vivo state of diabetic wound healing.

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