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Shen, H.* ; Zhang, Y.* ; Schramm, K.-W.

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

Mol. Aspects Med. 87:101006 (2021)
Postprint DOI PMC
Open Access Green
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.
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Publication type Article: Journal article
Document type Review
Corresponding Author
Keywords Adverse Outcome Pathway ; Human Biomonitoring ; Metabolome ; Molecular Exposome ; Non-targeted Analysis ; System Epidemiology
ISSN (print) / ISBN 0098-2997
e-ISSN 0098-2997
Quellenangaben Volume: 87, Issue: , Pages: , Article Number: 101006 Supplement: ,
Publisher Elsevier
Non-patent literature Publications
Reviewing status Peer reviewed