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载脂蛋白 AI C 末端在中和脂多糖内毒素效应中的作用。

Contribution of the C-terminal end of apolipoprotein AI to neutralization of lipopolysaccharide endotoxic effect.

机构信息

Instituto de Investigaciones Bioquímicas La Plata, CCT La Plata, CONICET, Facultad de Ciencias Médicas, Universidad Nacional de La Plata, La Plata, Argentina.

出版信息

Innate Immun. 2011 Feb;17(3):327-37. doi: 10.1177/1753425910370709. Epub 2010 May 25.

Abstract

It is well known that high density lipoprotein (HDL) binds bacterial lipopolysaccharide (LPS) and neutralizes its toxicity. The aim of this work was to study changes in the apolipoprotein (apo) AI structure after its interaction with LPS as well as to determine the protein domain involved in that interaction. The presented data indicate that LPS does not lead to major changes in the structure of apoAI, judging from Trp fluorescence spectra. However, analysis of denaturation behavior and binding of ANS show that LPS induces a loosened protein conformation. Further evidence for an apoAI-LPS specific interaction was obtained by incubation of the protein with (125)I-ASD-LPS. The results show that multiple regions of the protein were able to interact with LPS, according to its amphiphatic nature. Finally, the contribution of the purified C-terminal fragment of the protein in the endotoxin neutralization was evaluated in comparison with the effect of apoAI. In both cases, the same decrease in tumor necrosis factor-α released was observed. This result suggests that the C-terminal half of apoAI is the main domain responsible of the neutralization effect of this protein. Our data may provide innovative pharmacological tools in endotoxin neutralization therapies.

摘要

众所周知,高密度脂蛋白(HDL)可以结合细菌脂多糖(LPS)并中和其毒性。本工作旨在研究载脂蛋白(apo)AI 与 LPS 相互作用后其结构的变化,并确定参与该相互作用的蛋白质结构域。从色氨酸荧光光谱判断,所提供的数据表明 LPS 不会导致 apoAI 结构发生重大变化。然而,变性行为和 ANS 结合分析表明,LPS 诱导蛋白构象变松。通过用(125)I-ASD-LPS 孵育蛋白,进一步证明了 apoAI-LPS 特异性相互作用。结果表明,根据 LPS 的两亲性,该蛋白的多个区域都能够与 LPS 相互作用。最后,与 apoAI 的作用相比,评估了蛋白纯化的 C 末端片段在中和内毒素方面的贡献。在这两种情况下,观察到释放的肿瘤坏死因子-α减少相同。这一结果表明,apoAI 的 C 末端半段是该蛋白中和作用的主要结构域。我们的数据可能为内毒素中和治疗提供创新的药理学工具。

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