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使用快速扫描循环伏安法对脑啡肽肽进行电化学定量分析。

Electrochemical Quantification of Enkephalin Peptides Using Fast-Scan Cyclic Voltammetry.

作者信息

Todorov Jovica, Calhoun Sarah E, McCarty Gregory S, Sombers Leslie A

出版信息

Anal Chem. 2024 Aug 13. doi: 10.1021/acs.analchem.4c02418.

DOI:10.1021/acs.analchem.4c02418
PMID:39138126
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12211322/
Abstract

Endogenous opioid neuropeptides serve as important chemical signaling molecules in both the central and peripheral nervous systems, but there are few analytical tools for directly monitoring these molecules . The opioid peptides share the amino acid motif, Tyr-Gly-Gly-Phe-, at the N-terminus. Met-enkephalin is a small opioid peptide comprised of only five amino acids with methionine (Met) incorporated at the C-terminus. Tyrosine (Tyr) and Met are electroactive, and their distinct electrochemical signatures can be utilized for quantitative molecular monitoring. This work encompasses a thorough voltammetric characterization of Tyr and Met redox chemistry as individual amino acids and when incorporated into small peptide fragments containing the shared Tyr-Gly-Gly-Phe- motif. NMR spectroscopy was used to determine the structure and conformation at near-physiological conditions. Voltammetric data demonstrate how the peak oxidation potential and the rate of electron transfer are dependent on the local chemical environment. Both the proximity of the electroactive residue to the C- or N-terminus and the hydrophobicity of the additional nonelectroactive amino acids profoundly affect sensitivity. Finally, the work uses the electrochemical signal for individual amino acids in a "training set", with a combination of principal component analysis and least-squares regression to accurately predict the voltammetric signal for short peptides comprising different combinations of those amino acids. Overall, this study demonstrates how fast-scan cyclic voltammetry can be utilized to discriminate between peptides with small differences in the chemical structure, thus establishing a framework for reliable quantification of small peptides in a complex signal, broadly speaking.

摘要

内源性阿片肽在中枢神经系统和外周神经系统中均作为重要的化学信号分子,但直接监测这些分子的分析工具却很少。阿片肽在N端具有氨基酸基序Tyr-Gly-Gly-Phe-。甲硫氨酸脑啡肽是一种仅由五个氨基酸组成的小阿片肽,其C端含有甲硫氨酸(Met)。酪氨酸(Tyr)和甲硫氨酸具有电活性,它们独特的电化学特征可用于定量分子监测。这项工作全面地对Tyr和Met作为单个氨基酸以及掺入含有共享Tyr-Gly-Gly-Phe-基序的小肽片段时的氧化还原化学进行了伏安表征。核磁共振光谱用于确定近生理条件下的结构和构象。伏安数据表明了峰氧化电位和电子转移速率如何取决于局部化学环境。电活性残基与C端或N端的接近程度以及其他非电活性氨基酸的疏水性都对灵敏度有深远影响。最后,这项工作利用“训练集”中单个氨基酸的电化学信号,结合主成分分析和最小二乘回归,准确预测由这些氨基酸的不同组合组成的短肽的伏安信号。总体而言,这项研究展示了快速扫描循环伏安法如何能够区分化学结构差异微小的肽,从而大体上建立了一个在复杂信号中可靠定量小肽的框架。

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