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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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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. |
format | Online Article Text |
id | pubmed-8426564 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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