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Title: Combined multiphoton imaging and biaxial tissue extension for quantitative analysis of geometric fiber organization in human reticular dermis
Authors: Ueda, Maho
Saito, Susumu
Murata, Teruasa
Hirano, Tomoko
Bise, Ryoma
Kabashima, Kenji
Suzuki, Shigehiko
Author's alias: 上田, 真帆
齊藤, 晋
村田, 光麻
平野, 智子
備瀬, 竜馬
椛島, 健治
鈴木, 茂彦
Keywords: Anatomy
Imaging
Issue Date: 23-Jul-2019
Publisher: Springer Nature
Journal title: Scientific Reports
Volume: 9
Thesis number: 10644
Abstract: The geometric organization of collagen fibers in human reticular dermis and its relationship to that of elastic fibers remain unclear. The tight packing and complex intertwining of dermal collagen fibers hinder accurate analysis of fiber orientation. We hypothesized that combined multiphoton microscopy and biaxial extension could overcome this issue. Continuous observation of fresh dermal sheets under biaxial extension revealed that the geometry of the elastic fiber network is maintained during expansion. Full-thickness human thigh skin samples were biaxially extended and cleared to visualize the entire reticular dermis. Throughout the dermis, collagen fibers straightened with increased inter-fiber spaces, making them more clearly identifiable after extension. The distribution of collagen fibers was evaluated with compilation of local orientation data. Two or three modes were confirmed in all superficial reticular layer samples. A high degree of local similarities in the direction of collagen and elastic fibers was observed. More than 80% of fibers had directional differences of ≤15°, regardless of layer. Understanding the geometric organization of fibers in the reticular dermis improves the understanding of mechanisms underlying the pliability of human skin. Combined multiphoton imaging and biaxial extension provides a research tool for studying the fibrous microarchitecture of the skin.
Description: 刺しゅう枠で皮膚の線維構造を解明 --コラーゲンと弾性線維の網目構造--. 京都大学プレスリリース. 2019-07-24.
I see the pattern under your skin. 京都大学プレスリリース. 2019-08-01.
Rights: © The Author(s) 2019. 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
URI: http://hdl.handle.net/2433/243194
DOI(Published Version): 10.1038/s41598-019-47213-5
Related Link: http://www.kyoto-u.ac.jp/ja/research/research_results/2019/190723_2.html
https://www.kyoto-u.ac.jp/en/research/research_results/2019/190723_2.html
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