High-Precision Automated Workflow for Urinary Untargeted Metabolomic Epidemiology
Isabel Meister, Pei Zhang, Anirban Sinha, C. Magnus Sköld, Åsa M. Wheelock, Takashi Izumi, Romanas Chaleckis, Craig E. Wheelock
Abstract
< 16% for 4/5 tISs after signal drift correction by cubic spline regression. The workflow identified >540 urinary metabolites including endogenous and exogenous compounds. This platform is suitable for performing urinary untargeted metabolomic epidemiology and will be useful for applications in population-based molecular phenotyping.
Topics & Concepts
ChemistryWorkflowMetabolomicsUrinary systemComputational biologyChromatographyInternal medicineDatabaseComputer scienceBiologyMedicineMetabolomics and Mass Spectrometry StudiesGut microbiota and healthTraditional Chinese Medicine Studies