Suppr超能文献

神经酰胺头部基团在皮肤脂质模型中脂质定位的重要性。

The importance of ceramide headgroup for lipid localisation in skin lipid models.

机构信息

Division of BioTherapeutics, Leiden Academic Centre for Drug Research, University of Leiden, Leiden, the Netherlands.

Division of Pharmacy and Optometry, Manchester University, Manchester, United Kingdom.

出版信息

Biochim Biophys Acta Biomembr. 2022 Jun 1;1864(6):183886. doi: 10.1016/j.bbamem.2022.183886. Epub 2022 Feb 7.

Abstract

The stratum corneum's lipid matrix is a critical for the skin's barrier function and is primarily composed of ceramides (CERs), cholesterol (CHOL) and free fatty acids (FFAs). The lipids form a long periodicity phase (LPP), a unique trilayer unit cell structure. An enzyme driven pathway is implemented to synthesize these key lipids. If these enzymes are down- or upregulated as in inflammatory diseases, the final lipid composition is affected often altering the barrier function. In this study, we mimicked down regulation of enzymes involved in the synthesis of the sphingosine and CER amide bond. In a LPP lipid model, we substituted CER N-(tetracosanoyl)-sphingosine (CER NS) with either i) FFA C24 and free sphingosine, to simulate the loss of the CER amide bond, or ii) with FFA C24 and C18 to simulate the loss of the sphingosine headgroup. Our study shows the lipids in the LPP would not phase separate until at least 25% of the CER NS is substituted keeping the lateral packing and conformational ordering unaltered. Neutron diffraction studies showed that free sphingosine chains localized at the outer layers of the unit cell, while the remaining CER NS head group was concentrated in the inner headgroup layers. However, when FFA C18 was inserted, CER NS was dispersed throughout the LPP, resulting in an even distribution between the inner and outer water layers. The presented results highlight the importance of the CER NS headgroup structure and its interaction in combination with the carbon chain invariability for optimal lipid arrangement.

摘要

角质层的脂质基质对于皮肤的屏障功能至关重要,主要由神经酰胺 (CERs)、胆固醇 (CHOL) 和游离脂肪酸 (FFAs) 组成。这些脂质形成长周期性相 (LPP),即独特的三层单位晶格结构。有一种酶促途径用于合成这些关键脂质。如果这些酶在炎症性疾病中下调或上调,最终的脂质组成会受到影响,经常改变屏障功能。在这项研究中,我们模拟了参与神经酰胺和 CER 酰胺键合成的酶的下调。在 LPP 脂质模型中,我们用 i)FFA C24 和游离神经酰胺替代 CER N-(tetracosanoyl)-神经鞘氨醇 (CER NS),以模拟 CER 酰胺键的丢失,或 ii)用 FFA C24 和 C18 替代 CER NS,以模拟神经酰胺头部基团的丢失。我们的研究表明,LPP 中的脂质在至少替代 25%的 CER NS 之前不会发生相分离,从而保持侧向堆积和构象有序性不变。中子衍射研究表明,游离神经酰胺链位于单位晶格的外层,而剩余的 CER NS 头部基团集中在内部头部基团层。然而,当插入 FFA C18 时,CER NS 分散在整个 LPP 中,导致内水层和外水层之间的均匀分布。所呈现的结果强调了 CER NS 头部基团结构及其与碳链不变性的相互作用对于最佳脂质排列的重要性。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验