Long chain fatty acid and ketone arise albumin structure recovery caused by furosemide.

IF 2.7 3区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Yafang Wei, Neng Zhou
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引用次数: 0

Abstract

Applied various spectroscopic techniques, such as fluorescence spectroscopy and circular dichroism, etc., the interaction between furosemide (FU) and bovine serum albumin (BSA), as well as the effects of long-chain fatty acid and ketone on the conformational changes of BSA induced by furosemide were studied. The results showed that furosemide strongly quenched the endogenous fluorescence of BSA. Fatty acid sites 7, 6, and/or 1 were the high affinity sites of FU, while its low affinity sites were not in the vicinity of the seven binding sites of oleic acid. When FU binds to high affinity sites, it can cause decrease of the percentage of α-helices, while binding to its low affinity sites leads to tertiary structural change. The binding of FU induces a significant red shift in the maximum fluorescence wavelength, indicating that it triggers a change in the tertiary structure. Long chain fatty acids and ketones have a restorative effect on the tertiary structural changes of BSA induced by FU in different mechanisms and this recovery does not originate from the alteration of the percentage of α-helices.

长链脂肪酸和酮引起速尿引起的白蛋白结构恢复。
应用荧光光谱、圆二色等多种光谱技术,研究了呋塞米(FU)与牛血清白蛋白(BSA)的相互作用,以及长链脂肪酸和酮类对呋塞米诱导的牛血清白蛋白构象变化的影响。结果表明,速尿对BSA的内源荧光有强烈的猝灭作用。脂肪酸位点7、6和/或1是FU的高亲和力位点,其低亲和力位点不在油酸的7个结合位点附近。FU与高亲和力位点结合可导致α-螺旋百分比降低,与低亲和力位点结合可导致三级结构改变。FU的结合引起了最大荧光波长的显著红移,表明它触发了三级结构的变化。长链脂肪酸和酮类对FU诱导的牛血清白蛋白三级结构变化具有不同机制的恢复作用,但这种恢复并非源于α-螺旋百分比的改变。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Biomolecular Structure & Dynamics
Journal of Biomolecular Structure & Dynamics 生物-生化与分子生物学
CiteScore
8.90
自引率
9.10%
发文量
597
审稿时长
2 months
期刊介绍: The Journal of Biomolecular Structure and Dynamics welcomes manuscripts on biological structure, dynamics, interactions and expression. The Journal is one of the leading publications in high end computational science, atomic structural biology, bioinformatics, virtual drug design, genomics and biological networks.
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