Department of Biochemistry, Molecular Biology, and Biophysics, College of Biological Science, University of Minnesota, Minneapolis, Minnesota 55455, United States.
Department of Medicinal Chemistry, College of Pharmacy, University of Minnesota, Minneapolis, Minnesota 55455, United States.
Chem Res Toxicol. 2023 Nov 20;36(11):1666-1682. doi: 10.1021/acs.chemrestox.3c00209. Epub 2023 Oct 20.
Exogenous compounds and metabolites derived from therapeutics, microbiota, or environmental exposures directly interact with endogenous metabolic pathways, influencing disease pathogenesis and modulating outcomes of clinical interventions. With few spectral library references, the identification of covalently modified biomolecules, secondary metabolites, and xenobiotics is a challenging task using global metabolomics profiling approaches. Numerous liquid chromatography-coupled mass spectrometry (LC-MS) small molecule analytical workflows have been developed to curate global profiling experiments for specific compound groups of interest. These workflows exploit shared structural moiety, functional groups, or elemental composition to discover novel and undescribed compounds through nontargeted small molecule discovery pipelines. This Review introduces the concept of structure-oriented LC-MS discovery methodology and aims to highlight common approaches employed for the detection and characterization of covalently modified biomolecules, secondary metabolites, and xenobiotics. These approaches represent a combination of instrument-dependent and computational techniques to rapidly curate global profiling experiments to detect putative ions of interest based on fragmentation patterns, predictable phase I or phase II metabolic transformations, or rare elemental composition. Application of these methods is explored for the detection and identification of novel and undescribed biomolecules relevant to the fields of toxicology, pharmacology, and drug discovery. Continued advances in these methods expand the capacity for selective compound discovery and characterization that promise remarkable insights into the molecular interactions of exogenous chemicals with host biochemical pathways.
外源性化合物和代谢物来源于治疗药物、微生物群或环境暴露,直接与内源性代谢途径相互作用,影响疾病的发病机制并调节临床干预的结果。由于很少有光谱库参考,使用全局代谢组学分析方法鉴定共价修饰的生物分子、次生代谢物和外源性化合物是一项具有挑战性的任务。已经开发了许多液相色谱-质谱联用 (LC-MS) 小分子分析工作流程,以针对特定感兴趣的化合物组来管理全局分析实验。这些工作流程利用共享的结构部分、官能团或元素组成,通过非靶向小分子发现管道发现新的和未描述的化合物。这篇综述介绍了基于结构的 LC-MS 发现方法的概念,并旨在强调用于检测和表征共价修饰的生物分子、次生代谢物和外源性化合物的常见方法。这些方法代表了基于仪器的和计算技术的组合,用于快速管理全局分析实验,以根据碎片模式、可预测的 I 期或 II 期代谢转化或稀有元素组成来检测感兴趣的假定离子。这些方法在检测和鉴定与毒理学、药理学和药物发现领域相关的新型和未描述的生物分子方面的应用进行了探讨。这些方法的不断进步扩展了选择性化合物发现和表征的能力,有望深入了解外源性化学物质与宿主生化途径的分子相互作用。