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Optoacoustic detection of tissue glycation.
Biomed. Opt. Express 6, 3149-3156 (2015)
Oxidative-based diseases including diabetes, chronic renal failure, cardiovascular diseases and neurological disorders are accompanied by accumulation of advanced glycation endproducts (AGE). Therefore, AGE-associated changes in tissue optical properties could yield a viable pathological indicator for disease diagnostics and monitoring. We investigated whether skin glycation could be detected based on absorption changes associated with AGE accumulation using spectral optoacoustic measurements and interrogated the optimal spectral band for skin glycation determination. Glycated and non-glycated skin was optoacoustically measured at multiple wavelengths in the visible region. The detected signals were spectrally processed and compared to measurements of skin autofluorescence and to second harmonic generation multiphoton microscopy images. Optoacoustic measurements are shown to be capable of detecting skin glycolysis based on AGE detection. A linear dependence was observed between optoacoustic intensity and the progression of skin glycation. The findings where corroborated by autofluorescence observations. Detection sensitivity is enhanced by observing normalised tissue spectra. This result points to a ratiometric method for skin glycation detection, specifically at 540 nm and 620 nm. We demonstrate that optoacoustic spectroscopy could be employed to detect AGE accumulation, and possibly can be employed as a non-invasive quick method for monitoring tissue glycation.
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Publication type Article: Journal article
Document type Scientific Article
Keywords Photoacoustics; Scanning Microscopy; Spectroscopy, Tissue Diagnostics; Nonlinear Microscopy; Skin Autofluorescence; End-Products; Oxidative Stress; Multiphoton; Microscopy; Model; Accumulation; Endproducts; Tomography; Proteins
ISSN (print) / ISBN 2156-7085
Journal Biomedical Optics Express
Quellenangaben Volume: 6, Issue: 9, Pages: 3149-3156
Publisher Optical Society of America (OSA)
Reviewing status Peer reviewed
Institute(s) Institute of Biological and Medical Imaging (IBMI)