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In vivo multiphoton multiparametric 3D quantification of human skin aging on forearm and face

Quantifying skin aging changes and characterizing its 3D structure and function in a non-invasive way is still a challenging area of research, constantly evolving with the development of imaging methods and image analysis tools. In vivo multiphoton imaging offers means to assess skin constituents in...

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Autores principales: Pena, Ana-Maria, Baldeweck, Thérèse, Decencière, Etienne, Koudoro, Serge, Victorin, Steeve, Raynaud, Edouard, Ngo, Blandine, Bastien, Philippe, Brizion, Sébastien, Tancrède-Bohin, Emmanuelle
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9437074/
https://www.ncbi.nlm.nih.gov/pubmed/36050338
http://dx.doi.org/10.1038/s41598-022-18657-z
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author Pena, Ana-Maria
Baldeweck, Thérèse
Decencière, Etienne
Koudoro, Serge
Victorin, Steeve
Raynaud, Edouard
Ngo, Blandine
Bastien, Philippe
Brizion, Sébastien
Tancrède-Bohin, Emmanuelle
author_facet Pena, Ana-Maria
Baldeweck, Thérèse
Decencière, Etienne
Koudoro, Serge
Victorin, Steeve
Raynaud, Edouard
Ngo, Blandine
Bastien, Philippe
Brizion, Sébastien
Tancrède-Bohin, Emmanuelle
author_sort Pena, Ana-Maria
collection PubMed
description Quantifying skin aging changes and characterizing its 3D structure and function in a non-invasive way is still a challenging area of research, constantly evolving with the development of imaging methods and image analysis tools. In vivo multiphoton imaging offers means to assess skin constituents in 3D, however prior skin aging studies mostly focused on 2D analyses of dermal fibers through their signals’ intensities or densities. In this work, we designed and implemented multiphoton multiparametric 3D quantification tools for in vivo human skin pigmentation and aging characterization. We first demonstrated that despite the limited field of view of the technic, investigation of 2 regions of interest (ROIs) per zone per volunteer is a good compromise in assessing 3D skin constituents in both epidermis and superficial dermis. We then characterized skin aging on different UV exposed areas—ventral and dorsal forearms, face. The three major facts of aging that are epidermal atrophy, the dermal–epidermal junction (DEJ) flattening and dermal elastosis can be non-invasively quantified and compared. Epidermal morphological changes occur late and were only objectified between extreme age groups. Melanin accumulation in suprabasal layers with age and chronic exposure on ventral and dorsal forearms is less known and appears earlier. Superficial dermal aging changes are mainly elastin density increase, with no obvious change in collagen density, reflected by SHGto2PEF ratio and SAAID index decrease and ImbrN index increase on all skin areas. Analysis of the z-dermal distribution of these parameters highlighted the 2nd 20 µm thickness normalized dermal sub-layer, that follows the DEJ shape, as exhibiting the highest aging differences. Moreover, the 3D ImbrN index allows refining the share of photoaging in global aging on face and the 3D SAAID index on forearm, which elastin or fibrillar collagens densities alone do not allow. Photoaging of the temple area evolves as a function of chronic exposure with a more pronounced increase in elastin density, also structurally modified from thin and straight elastic fibers in young volunteers to dense and compact pattern in older ones. More generally, multiphoton multiparametric 3D skin quantification offers rich spatial information of interest in assessing normal human skin condition and its pathological, external environment or product induced changes.
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spelling pubmed-94370742022-09-03 In vivo multiphoton multiparametric 3D quantification of human skin aging on forearm and face Pena, Ana-Maria Baldeweck, Thérèse Decencière, Etienne Koudoro, Serge Victorin, Steeve Raynaud, Edouard Ngo, Blandine Bastien, Philippe Brizion, Sébastien Tancrède-Bohin, Emmanuelle Sci Rep Article Quantifying skin aging changes and characterizing its 3D structure and function in a non-invasive way is still a challenging area of research, constantly evolving with the development of imaging methods and image analysis tools. In vivo multiphoton imaging offers means to assess skin constituents in 3D, however prior skin aging studies mostly focused on 2D analyses of dermal fibers through their signals’ intensities or densities. In this work, we designed and implemented multiphoton multiparametric 3D quantification tools for in vivo human skin pigmentation and aging characterization. We first demonstrated that despite the limited field of view of the technic, investigation of 2 regions of interest (ROIs) per zone per volunteer is a good compromise in assessing 3D skin constituents in both epidermis and superficial dermis. We then characterized skin aging on different UV exposed areas—ventral and dorsal forearms, face. The three major facts of aging that are epidermal atrophy, the dermal–epidermal junction (DEJ) flattening and dermal elastosis can be non-invasively quantified and compared. Epidermal morphological changes occur late and were only objectified between extreme age groups. Melanin accumulation in suprabasal layers with age and chronic exposure on ventral and dorsal forearms is less known and appears earlier. Superficial dermal aging changes are mainly elastin density increase, with no obvious change in collagen density, reflected by SHGto2PEF ratio and SAAID index decrease and ImbrN index increase on all skin areas. Analysis of the z-dermal distribution of these parameters highlighted the 2nd 20 µm thickness normalized dermal sub-layer, that follows the DEJ shape, as exhibiting the highest aging differences. Moreover, the 3D ImbrN index allows refining the share of photoaging in global aging on face and the 3D SAAID index on forearm, which elastin or fibrillar collagens densities alone do not allow. Photoaging of the temple area evolves as a function of chronic exposure with a more pronounced increase in elastin density, also structurally modified from thin and straight elastic fibers in young volunteers to dense and compact pattern in older ones. More generally, multiphoton multiparametric 3D skin quantification offers rich spatial information of interest in assessing normal human skin condition and its pathological, external environment or product induced changes. Nature Publishing Group UK 2022-09-01 /pmc/articles/PMC9437074/ /pubmed/36050338 http://dx.doi.org/10.1038/s41598-022-18657-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Pena, Ana-Maria
Baldeweck, Thérèse
Decencière, Etienne
Koudoro, Serge
Victorin, Steeve
Raynaud, Edouard
Ngo, Blandine
Bastien, Philippe
Brizion, Sébastien
Tancrède-Bohin, Emmanuelle
In vivo multiphoton multiparametric 3D quantification of human skin aging on forearm and face
title In vivo multiphoton multiparametric 3D quantification of human skin aging on forearm and face
title_full In vivo multiphoton multiparametric 3D quantification of human skin aging on forearm and face
title_fullStr In vivo multiphoton multiparametric 3D quantification of human skin aging on forearm and face
title_full_unstemmed In vivo multiphoton multiparametric 3D quantification of human skin aging on forearm and face
title_short In vivo multiphoton multiparametric 3D quantification of human skin aging on forearm and face
title_sort in vivo multiphoton multiparametric 3d quantification of human skin aging on forearm and face
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9437074/
https://www.ncbi.nlm.nih.gov/pubmed/36050338
http://dx.doi.org/10.1038/s41598-022-18657-z
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