Murray Kevin J, Mckeon Dylan, Lecchi Chiara, Maertens Laura, Villalta Peter W, Balbo Silvia
Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota 55455, United States.
Chem Res Toxicol. 2025 Apr 21;38(4):635-646. doi: 10.1021/acs.chemrestox.4c00446. Epub 2025 Mar 11.
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 -acetyl--(2-ethyl-3-pyridine)-l-cysteine, a potential metabolite of nicotine pyrolysis product 3-ethenylpyridine.
尿中硫醚氨酸是化学物质暴露和解毒机制的重要生物标志物。这类化合物的表征历史上一直采用负离子模式的液相色谱-串联质谱(LC-MS/MS)分析平台。在本研究中,我们报告了首次应用超高效液相色谱-串联质谱(UHPLC-MS/MS)方法,采用正离子模式检测对硫醚氨酸进行无偏表征。生成了一个合成可得的硫醚氨酸初步光谱库,以评估硫醚氨酸在正离子模式下的碎裂途径。根据我们的研究结果,我们提出了一种发现方法,该方法利用基于硫醚氨酸两条诊断性碎裂途径的中性丢失监测模式。使用一组20名不吸烟者和20名吸烟者,我们检测到180个假定的硫醚氨酸特征峰,具有高度的重现性。经过多变量和单变量统计分析,我们发现33个假定的硫醚氨酸与吸烟状态有关。正离子模式下分析谱图结构信息的增加,使得发现结果的注释更具信息量。使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鉴定,并消除可能的假阳性检测。从我们的工作流程中,我们发现了一种以前未报道的硫醚氨酸,它与吸烟密切相关,并初步鉴定为N-乙酰基-N-(2-乙基-3-吡啶基)-L-半胱氨酸,这是尼古丁热解产物3-乙烯基吡啶的一种潜在代谢物。