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Mapping the 3D remodeling of the extracellular matrix in human hypertrophic scar by multi-parametric multiphoton imaging using endogenous contrast
The hypertrophic scar is an aberrant form of wound healing process, whose clinical efficacy is limited by a lack of understanding of its pathophysiology. Remodeling of collagen and elastin fibers in the extracellular matrix (ECM) is closely associated with scar progression. Herein, we perform label-...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9975259/ https://www.ncbi.nlm.nih.gov/pubmed/36873151 http://dx.doi.org/10.1016/j.heliyon.2023.e13653 |
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author | Jiang, Shenyi Qian, Shuhao Zhou, Lingxi Meng, Jia Jiang, Rushan Wang, Chuncheng Fang, Xinguo Yang, Chen Ding, Zhihua Zhuo, Shuangmu Liu, Zhiyi |
author_facet | Jiang, Shenyi Qian, Shuhao Zhou, Lingxi Meng, Jia Jiang, Rushan Wang, Chuncheng Fang, Xinguo Yang, Chen Ding, Zhihua Zhuo, Shuangmu Liu, Zhiyi |
author_sort | Jiang, Shenyi |
collection | PubMed |
description | The hypertrophic scar is an aberrant form of wound healing process, whose clinical efficacy is limited by a lack of understanding of its pathophysiology. Remodeling of collagen and elastin fibers in the extracellular matrix (ECM) is closely associated with scar progression. Herein, we perform label-free multiphoton microscopy (MPM) of both fiber components from human skin specimens and propose a multi-fiber metrics (MFM) analysis model for mapping the structural remodeling of the ECM in hypertrophic scars in a highly-sensitive, three-dimensional (3D) manner. We find that both fiber components become wavier and more disorganized in scar tissues, while content accumulation is observed from elastin fibers only. The 3D MFM analysis can effectively distinguish normal and scar tissues with better than 95% in accuracy and 0.999 in the area under the curve value of the receiver operating characteristic curve. Further, unique organizational features with orderly alignment of both fibers are observed in scar-normal adjacent regions, and an optimized combination of features from 3D MFM analysis enables successful identification of all the boundaries. This imaging and analysis system uncovers the 3D architecture of the ECM in hypertrophic scars and exhibits great translational potential for evaluating scars in vivo and identifying individualized treatment targets. |
format | Online Article Text |
id | pubmed-9975259 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-99752592023-03-02 Mapping the 3D remodeling of the extracellular matrix in human hypertrophic scar by multi-parametric multiphoton imaging using endogenous contrast Jiang, Shenyi Qian, Shuhao Zhou, Lingxi Meng, Jia Jiang, Rushan Wang, Chuncheng Fang, Xinguo Yang, Chen Ding, Zhihua Zhuo, Shuangmu Liu, Zhiyi Heliyon Research Article The hypertrophic scar is an aberrant form of wound healing process, whose clinical efficacy is limited by a lack of understanding of its pathophysiology. Remodeling of collagen and elastin fibers in the extracellular matrix (ECM) is closely associated with scar progression. Herein, we perform label-free multiphoton microscopy (MPM) of both fiber components from human skin specimens and propose a multi-fiber metrics (MFM) analysis model for mapping the structural remodeling of the ECM in hypertrophic scars in a highly-sensitive, three-dimensional (3D) manner. We find that both fiber components become wavier and more disorganized in scar tissues, while content accumulation is observed from elastin fibers only. The 3D MFM analysis can effectively distinguish normal and scar tissues with better than 95% in accuracy and 0.999 in the area under the curve value of the receiver operating characteristic curve. Further, unique organizational features with orderly alignment of both fibers are observed in scar-normal adjacent regions, and an optimized combination of features from 3D MFM analysis enables successful identification of all the boundaries. This imaging and analysis system uncovers the 3D architecture of the ECM in hypertrophic scars and exhibits great translational potential for evaluating scars in vivo and identifying individualized treatment targets. Elsevier 2023-02-13 /pmc/articles/PMC9975259/ /pubmed/36873151 http://dx.doi.org/10.1016/j.heliyon.2023.e13653 Text en © 2023 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Research Article Jiang, Shenyi Qian, Shuhao Zhou, Lingxi Meng, Jia Jiang, Rushan Wang, Chuncheng Fang, Xinguo Yang, Chen Ding, Zhihua Zhuo, Shuangmu Liu, Zhiyi Mapping the 3D remodeling of the extracellular matrix in human hypertrophic scar by multi-parametric multiphoton imaging using endogenous contrast |
title | Mapping the 3D remodeling of the extracellular matrix in human hypertrophic scar by multi-parametric multiphoton imaging using endogenous contrast |
title_full | Mapping the 3D remodeling of the extracellular matrix in human hypertrophic scar by multi-parametric multiphoton imaging using endogenous contrast |
title_fullStr | Mapping the 3D remodeling of the extracellular matrix in human hypertrophic scar by multi-parametric multiphoton imaging using endogenous contrast |
title_full_unstemmed | Mapping the 3D remodeling of the extracellular matrix in human hypertrophic scar by multi-parametric multiphoton imaging using endogenous contrast |
title_short | Mapping the 3D remodeling of the extracellular matrix in human hypertrophic scar by multi-parametric multiphoton imaging using endogenous contrast |
title_sort | mapping the 3d remodeling of the extracellular matrix in human hypertrophic scar by multi-parametric multiphoton imaging using endogenous contrast |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9975259/ https://www.ncbi.nlm.nih.gov/pubmed/36873151 http://dx.doi.org/10.1016/j.heliyon.2023.e13653 |
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