Positive Ion Tandem Mass Spectrometry Offers Enhanced Structural Insights for the Discovery of Mercapturic Acids.

IF 3.7 3区 医学 Q2 CHEMISTRY, MEDICINAL
Kevin J Murray, Dylan Mckeon, Chiara Lecchi, Laura Maertens, Peter W Villalta, Silvia Balbo
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引用次数: 0

Abstract

Urinary mercapturic acids represent valuable biological markers of chemical exposure and detoxification mechanisms. Characterization of this class of compound has historically employed LC-MS/MS analytical platforms using negative ion mode. In this study, we report the first application of a UHPLC-MS/MS method using positive ion mode detection for the unbiased characterization of mercapturic acids. A preliminary spectral library of synthetically available mercapturic acids was generated to evaluate fragmentation pathways of mercapturic acids in positive mode. From our findings, we propose a discovery method that utilizes a neutral loss monitoring paradigm based on two diagnostic fragmentation pathways of mercapturic acids. Using a cohort of 20 nonsmokers and 20 smokers, we detected 180 putative mercapturic acid signatures that exhibited a high degree of reproducibility. Following a combination of multivariate and univariate statistics, we found 33 putative mercapturic acids associated with smoking status. The increased structural insights of analytical profiling in positive mode enable more informative annotation of discovery results. Using the latest structural prediction technology, we were able to assign preliminary structural identifications to these features and eliminate likely false positive detections. From our workflow, we discovered a previously unreported mercapturic acid with a strong association with tobacco cigarette usage and putatively identified it as N-acetyl-S-(2-ethyl-3-pyridine)-l-cysteine, a potential metabolite of nicotine pyrolysis product 3-ethenylpyridine.

正离子串联质谱法为发现巯基酸提供了增强的结构见解。
尿汞酸是化学暴露和解毒机制的有价值的生物标志物。该类化合物的表征历来采用LC-MS/MS分析平台,使用负离子模式。在这项研究中,我们报告了UHPLC-MS/MS方法的首次应用,使用正离子模式检测对巯基酸进行无偏表征。建立了一个初步的合成巯基酸谱库,用于评价巯基酸在正模式下的裂解途径。根据我们的研究结果,我们提出了一种发现方法,该方法利用中性损失监测范式,基于两种巯基酸的诊断裂解途径。通过对20名非吸烟者和20名吸烟者的队列研究,我们检测到180个具有高度可重复性的假定的巯基酸特征。结合多变量和单变量统计,我们发现33种假定的巯基酸与吸烟状况有关。在正模式下,分析分析的结构见解增加了,可以对发现结果进行更翔实的注释。利用最新的结构预测技术,我们能够对这些特征进行初步的结构识别,并消除可能的误报检测。从我们的工作流程中,我们发现了一种以前未报道的与卷烟使用密切相关的巯基酸,并推测其为n -乙酰基- s -(2-乙基-3-吡啶)-l-半胱氨酸,尼古丁热解产物3-乙基吡啶的潜在代谢物。
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
CiteScore
7.90
自引率
7.30%
发文量
215
审稿时长
3.5 months
期刊介绍: Chemical Research in Toxicology publishes Articles, Rapid Reports, Chemical Profiles, Reviews, Perspectives, Letters to the Editor, and ToxWatch on a wide range of topics in Toxicology that inform a chemical and molecular understanding and capacity to predict biological outcomes on the basis of structures and processes. The overarching goal of activities reported in the Journal are to provide knowledge and innovative approaches needed to promote intelligent solutions for human safety and ecosystem preservation. The journal emphasizes insight concerning mechanisms of toxicity over phenomenological observations. It upholds rigorous chemical, physical and mathematical standards for characterization and application of modern techniques.
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