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采用定量、高通量 shotgun 质谱法进行大规模人体皮肤脂质组学研究。

Large-scale human skin lipidomics by quantitative, high-throughput shotgun mass spectrometry.

机构信息

Medical Faculty, Dresden University of Technology, Dresden, Germany.

Lipotype GmbH, Dresden, Germany.

出版信息

Sci Rep. 2017 Mar 7;7:43761. doi: 10.1038/srep43761.

Abstract

The lipid composition of human skin is essential for its function; however the simultaneous quantification of a wide range of stratum corneum (SC) and sebaceous lipids is not trivial. We developed and validated a quantitative high-throughput shotgun mass spectrometry-based platform for lipid analysis of tape-stripped SC skin samples. It features coverage of 16 lipid classes; total quantification to the level of individual lipid molecules; high reproducibility and high-throughput capabilities. With this method we conducted a large lipidomic survey of 268 human SC samples, where we investigated the relationship between sampling depth and lipid composition, lipidome variability in samples from 14 different sampling sites on the human body and finally, we assessed the impact of age and sex on lipidome variability in 104 healthy subjects. We found sebaceous lipids to constitute an abundant component of the SC lipidome as they diffuse into the topmost SC layers forming a gradient. Lipidomic variability with respect to sampling depth, site and subject is considerable, and mainly accredited to sebaceous lipids, while stratum corneum lipids vary less. This stresses the importance of sampling design and the role of sebaceous lipids in skin studies.

摘要

人体皮肤的脂质组成对于其功能至关重要;然而,同时定量分析广泛的角质层(SC)和皮脂脂质并非易事。我们开发并验证了一种用于胶带剥离 SC 皮肤样本脂质分析的高通量定量 shotgun 质谱基础平台。它具有 16 种脂质类别的覆盖范围;可对单个脂质分子进行定量;具有高重现性和高通量能力。使用这种方法,我们对 268 个人体 SC 样本进行了大规模脂质组学调查,研究了采样深度与脂质组成之间的关系,来自人体 14 个不同采样部位的样本中的脂质组学变异性,最后,我们评估了 104 名健康受试者的年龄和性别对脂质组学变异性的影响。我们发现皮脂脂质是 SC 脂质组的丰富组成部分,因为它们扩散到最顶层的 SC 层形成梯度。关于采样深度、部位和受试者的脂质组学变异性相当大,主要归因于皮脂脂质,而角质层脂质的变化较小。这强调了采样设计的重要性以及皮脂脂质在皮肤研究中的作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7dcf/5339821/893a15129847/srep43761-f1.jpg

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