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基于多模态非线性光学成像的人皮肤颗粒污染物分子分辨可视化研究。

Molecule-Resolved Visualization of Particulate Matter on Human Skin Using Multimodal Nonlinear Optical Imaging.

机构信息

AMOREPACIFIC Research and Development Center, Yongin 17074, Korea.

School of Pharmacy, Sungkyunkwan University, Suwon 16419, Korea.

出版信息

Int J Mol Sci. 2021 May 14;22(10):5199. doi: 10.3390/ijms22105199.

Abstract

Precise measurement of particulate matter (PM) on skin is important for managing and preventing PM-related skin diseases. This study aims to directly visualize the deposition and penetration of PM into human skin using a multimodal nonlinear optical (MNLO) imaging system. We successfully obtained PM particle signals by merging two different sources, C-C vibrational frequency and autofluorescence, while simultaneously visualizing the anatomical features of the skin via keratin, collagen, and elastin. As a result, we found morphologically dependent PM deposition, as well as increased deposition following disruption of the skin barrier via tape-stripping. Furthermore, PM penetrated more and deeper into the skin with an increase in the number of tape-strippings, causing a significant increase in the secretion of pro-inflammatory cytokines. Our results suggest that MNLO imaging could be a useful technique for visualizing and quantifying the spatial distribution of PM in ex vivo human skin tissues.

摘要

精确测量皮肤中的颗粒物(PM)对于管理和预防与 PM 相关的皮肤疾病非常重要。本研究旨在使用多模态非线性光学(MNLO)成像系统直接可视化 PM 沉积和渗透到人体皮肤中。我们成功地通过合并两个不同的来源,即 C-C 振动频率和自发荧光,获得了 PM 粒子信号,同时通过角蛋白、胶原蛋白和弹性蛋白对皮肤的解剖特征进行了可视化。结果表明,PM 沉积存在形态依赖性,并且通过胶带剥离破坏皮肤屏障后,PM 的沉积增加。此外,随着胶带剥离次数的增加,PM 渗透得更多更深,导致促炎细胞因子的分泌显著增加。我们的结果表明,MNLO 成像可能是一种有用的技术,可用于可视化和量化人体皮肤组织中 PM 的空间分布。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f8b0/8156198/4fd024dd1845/ijms-22-05199-g001.jpg

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