Cryogenic probe technology enables multidimensional solid-state NMR of the stratum corneum without isotope labeling

IF 1.8 3区 化学 Q4 CHEMISTRY, PHYSICAL Solid state nuclear magnetic resonance Pub Date : 2024-09-21 DOI:10.1016/j.ssnmr.2024.101972
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Abstract

Solid-state NMR has great potential for investigating molecular structure, dynamics, and organization of the stratum corneum, the outer 10–20 μm of the skin, but is hampered by the unfeasibility of isotope labelling as generally required to reach sufficient signal-to-noise ratio for the more informative multidimensional NMR techniques. In this preliminary study of pig stratum corneum at 35 °C and water-free conditions, we demonstrate that cryogenic probe technology offers sufficient signal boost to observe previously undetectable minor resonances that can be uniquely assigned to fluid cholesterol, ceramides, and triacylglycerols, as well as enables 1H–1H spin diffusion monitored by 2D 1H-13C HETCOR to estimate 1–100 nm distances between specific atomic sites on proteins and lipids. The new capabilities open up for future multidimensional solid-state NMR studies to answer long-standing questions about partitioning of additives, such as pharmaceutically active substances, between solid and liquid domains within the protein and lipid phases in the stratum corneum and the lipids of the sebum.

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低温探针技术无需同位素标记即可对角质层进行多维固态核磁共振成像。
固态核磁共振在研究角质层(皮肤外层 10-20 μm)的分子结构、动力学和组织方面具有巨大潜力,但却受到同位素标记不可行的阻碍,因为要达到信息量更大的多维核磁共振技术所需的足够信噪比,通常需要进行同位素标记。在这项对 35 °C 和无水条件下的猪角质层的初步研究中,我们证明低温探针技术提供了足够的信号增强,可观察到以前无法检测到的次共振,这些次共振可独特地分配给流体胆固醇、神经酰胺和三酰甘油,并通过二维 1H-13C HETCOR 监测 1H-1H 自旋扩散,以估计蛋白质和脂质上特定原子位点之间 1-100 nm 的距离。这些新功能为未来的多维固态核磁共振研究开辟了道路,从而回答了长期以来有关添加剂(如药用活性物质)在角质层和皮脂脂质中的蛋白质和脂质相的固态和液态域之间的分配问题。
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来源期刊
CiteScore
5.30
自引率
9.40%
发文量
42
审稿时长
72 days
期刊介绍: The journal Solid State Nuclear Magnetic Resonance publishes original manuscripts of high scientific quality dealing with all experimental and theoretical aspects of solid state NMR. This includes advances in instrumentation, development of new experimental techniques and methodology, new theoretical insights, new data processing and simulation methods, and original applications of established or novel methods to scientific problems.
期刊最新文献
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