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多不饱和磷脂双层中类脂筏结构域的分子组织:分子动力学模拟的监督机器学习分析。

Molecular Organization of a Raft-like Domain in a Polyunsaturated Phospholipid Bilayer: A Supervised Machine Learning Analysis of Molecular Dynamics Simulations.

机构信息

Department of Physics, IUPUI, Indianapolis, Indiana 46202-3273, United States.

Department of Computer and Information Science, IUPUI, Indianapolis, Indiana 46202-5132, United States.

出版信息

J Phys Chem B. 2021 Dec 9;125(48):13158-13167. doi: 10.1021/acs.jpcb.1c06511. Epub 2021 Nov 23.

Abstract

Numerous health benefits are associated with omega-3 polyunsaturated fatty acids (n-3 PUFA) consumed in fish oils. An understanding of the mechanism remains elusive. The plasma membrane as a site of action is the focus in this study. With large-scale all-atom MD simulations run on a model membrane (1050 lipid molecules), we observed the evolution over time (6 μs) of a circular (raft-like) domain composed of -palmitoylsphingomyelin (PSM) and cholesterol embedded into a surrounding (non-raft) patch composed of polyunsaturated 1-palmitoyl-2-docosahexaenoylphosphatylcholine (PDPC) (1:1:1 mol). A supervised machine learning algorithm was developed to characterize the migration of each lipid based on molecular conformation and the local environment. PDPC molecules were seen to infiltrate the ordered raft-like domain in a small amount, while a small concentration of PSM and cholesterol molecules was seen to migrate into the disordered non-raft region. Enclosing the raft-like domain, a narrow (∼2 nm in width) interfacial zone composed of PDPC, PSM, and cholesterol that buffers the substantial difference in order (Δ ≈ 0.12) between raft-like and non-raft environments was seen to form. Our results suggest that n-3 PUFA regulate the architecture of lipid rafts enriched in sphingolipids and cholesterol with a minimal effect on order within their interior in membranes.

摘要

摄入鱼油中的ω-3 多不饱和脂肪酸(n-3 PUFA)对健康有诸多益处。但作用机制仍难以捉摸。本研究关注的是细胞膜作为作用部位。通过对模型膜(1050 个脂质分子)进行大规模全原子 MD 模拟,我们观察到由 -棕榈酰鞘氨醇(PSM)和胆固醇组成的环状(筏状)结构域随时间(6 μs)的演变,该结构域嵌入由多不饱和 1-棕榈酰-2-二十二碳六烯酰基磷酸胆碱(PDPC)(1:1:1 mol)组成的周围(非筏状)区域。开发了一种监督机器学习算法,根据分子构象和局部环境对每个脂质的迁移进行特征化。PDPC 分子少量渗透到有序的筏状结构域中,而少量的 PSM 和胆固醇分子则迁移到无序的非筏状区域。我们观察到一个狭窄的(宽度约为 2nm)界面区域,由 PDPC、PSM 和胆固醇组成,包围着筏状结构域,缓冲了筏状和非筏状环境之间在有序性方面的显著差异(Δ≈0.12)。我们的结果表明,n-3 PUFA 通过最小化其内部的有序性,调节富含鞘脂和胆固醇的脂质筏的结构,而对其内部的有序性影响很小。

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