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Detection of collagen by multi-wavelength photoacoustic analysis as a biomarker for bone health assessment

Collagen is an important biomarker of osteoporosis progression. Noninvasive, multispectral, photoacoustic (PA) techniques use pulsed laser light to induce PA signals to facilitate the visualization of chemical components that are strongly related to tissue health. In this study, the feasibility of m...

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Autores principales: Feng, Ting, Ge, Yuxiang, Xie, Yejing, Xie, Weiya, Liu, Chengcheng, Li, Lan, Ta, Dean, Jiang, Qing, Cheng, Qian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8426564/
https://www.ncbi.nlm.nih.gov/pubmed/34522607
http://dx.doi.org/10.1016/j.pacs.2021.100296
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author Feng, Ting
Ge, Yuxiang
Xie, Yejing
Xie, Weiya
Liu, Chengcheng
Li, Lan
Ta, Dean
Jiang, Qing
Cheng, Qian
author_facet Feng, Ting
Ge, Yuxiang
Xie, Yejing
Xie, Weiya
Liu, Chengcheng
Li, Lan
Ta, Dean
Jiang, Qing
Cheng, Qian
author_sort Feng, Ting
collection PubMed
description Collagen is an important biomarker of osteoporosis progression. Noninvasive, multispectral, photoacoustic (PA) techniques use pulsed laser light to induce PA signals to facilitate the visualization of chemical components that are strongly related to tissue health. In this study, the feasibility of multi-wavelength PA (MWPA) measurement of the collagen in bone, using the wavelength range of 1300–1800 nm, was investigated. First, the feasibility of this approach for detecting the collagen content of bone was demonstrated by means of numerical simulation. Then, ex vivo experiments were conducted on both animal and human bone specimens with different bone densities using the MWPA method. The relative collagen content was extracted and compared with the results of micro-computed tomography (micro-CT) and histology. The results showed that the “relative collagen content” parameter obtained using the MWPA approach correlated well with the bone volume ratio obtained from micro-CT images and histological analysis results. This study highlights the potential of the proposed PA technique for determining the collagen content of bones as a biomarker for bone health assessment.
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spelling pubmed-84265642021-09-13 Detection of collagen by multi-wavelength photoacoustic analysis as a biomarker for bone health assessment Feng, Ting Ge, Yuxiang Xie, Yejing Xie, Weiya Liu, Chengcheng Li, Lan Ta, Dean Jiang, Qing Cheng, Qian Photoacoustics Research Article Collagen is an important biomarker of osteoporosis progression. Noninvasive, multispectral, photoacoustic (PA) techniques use pulsed laser light to induce PA signals to facilitate the visualization of chemical components that are strongly related to tissue health. In this study, the feasibility of multi-wavelength PA (MWPA) measurement of the collagen in bone, using the wavelength range of 1300–1800 nm, was investigated. First, the feasibility of this approach for detecting the collagen content of bone was demonstrated by means of numerical simulation. Then, ex vivo experiments were conducted on both animal and human bone specimens with different bone densities using the MWPA method. The relative collagen content was extracted and compared with the results of micro-computed tomography (micro-CT) and histology. The results showed that the “relative collagen content” parameter obtained using the MWPA approach correlated well with the bone volume ratio obtained from micro-CT images and histological analysis results. This study highlights the potential of the proposed PA technique for determining the collagen content of bones as a biomarker for bone health assessment. Elsevier 2021-08-26 /pmc/articles/PMC8426564/ /pubmed/34522607 http://dx.doi.org/10.1016/j.pacs.2021.100296 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Feng, Ting
Ge, Yuxiang
Xie, Yejing
Xie, Weiya
Liu, Chengcheng
Li, Lan
Ta, Dean
Jiang, Qing
Cheng, Qian
Detection of collagen by multi-wavelength photoacoustic analysis as a biomarker for bone health assessment
title Detection of collagen by multi-wavelength photoacoustic analysis as a biomarker for bone health assessment
title_full Detection of collagen by multi-wavelength photoacoustic analysis as a biomarker for bone health assessment
title_fullStr Detection of collagen by multi-wavelength photoacoustic analysis as a biomarker for bone health assessment
title_full_unstemmed Detection of collagen by multi-wavelength photoacoustic analysis as a biomarker for bone health assessment
title_short Detection of collagen by multi-wavelength photoacoustic analysis as a biomarker for bone health assessment
title_sort detection of collagen by multi-wavelength photoacoustic analysis as a biomarker for bone health assessment
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8426564/
https://www.ncbi.nlm.nih.gov/pubmed/34522607
http://dx.doi.org/10.1016/j.pacs.2021.100296
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