Analytical aspects of meet-in-metabolite analysis for molecular pathway reconstitution from exposure to adverse outcome. (October 2022)

• Record Type: Journal Article
• Authors: Shen, Heqing; Zhang, Yike; Schramm, Karl-Werner
• Is Part Of: Molecular aspects of medicine. Volume 87(2022)
• Publication Date: 2022-10
• Subjects: Human biomonitoring -- Molecular exposome -- Metabolome -- Non-targeted analysis -- Adverse outcome pathway -- System epidemiology; Pathology, Molecular -- Periodicals; Medicine -- Periodicals; Biochemistry -- Periodicals; Medicine -- Periodicals; Molecular Biology -- Periodicals; Pathologie moléculaire -- Périodiques; Médecine -- Périodiques; Electronic journals; 612.015
• DOI: 10.1016/j.mam.2021.101006
• Languages: English
• ISSNs: 0098-2997

Abstract

Abstract: To explore the etiology of diseases is one of the major goals in epidemiological study. Meet-in-metabolite analysis reconstitutes biomonitoring-based adverse outcome (AO) pathways from environmental exposure to a disease, in which the chemical exposome-related metabolism responses are transmitted to incur the AO-related metabolism phenotypes. However, the ongoing data-dependent acquisition of non-targeted biomonitoring by high-resolution mass spectrometry (HRMS) is biased against the low abundance molecules, which forms the major of molecular internal exposome, i.e., the totality of trace levels of environmental pollutants and/or their metabolites in human samples. The recent development of data-independent acquisition protocols for HRMS screening has opened new opportunities to enhance unbiased measurement of the extremely low abundance molecules, which can encompass a wide range of analytes and has been applied in metabolomics, DNA, and protein adductomics. In addition, computational MS for small molecules is urgently required for the top-down exposome databases. Although a holistic analysis of the exposome and endogenous metabolites is plausible, multiple and flexible strategies, instead of "putting one thing above all" are proposed.