2021
Use of Untargeted Metabolomics to Explore the Air Pollution-Related Disease Continuum
Jin L, Godri Pollitt KJ, Liew Z, Rosen Vollmar AK, Vasiliou V, Johnson CH, Zhang Y. Use of Untargeted Metabolomics to Explore the Air Pollution-Related Disease Continuum. Current Environmental Health Reports 2021, 8: 7-22. PMID: 33420964, DOI: 10.1007/s40572-020-00298-x.Peer-Reviewed Original ResearchConceptsAir pollutant exposureAdverse health effectsSpecific adverse health effectsOxidative stressHealth effectsPerturbation of metabolitesAir pollution exposureUntargeted metabolomicsPollutant exposureSteroid metabolic pathwaysPregnant womenInflammatory responseDisease continuumReviewThe purposeHealth outcomesLarger sample sizeMetabolic pathwaysDisease statusPollution exposureIdentified metabolitesMetabolic perturbationsMetabolic changesSummaryOur reviewAir pollution componentsMetabolomic analysis
2020
Analyzing Metabolomics Data for Environmental Health and Exposome Research
Cai Y, Rosen Vollmar AK, Johnson CH. Analyzing Metabolomics Data for Environmental Health and Exposome Research. Methods In Molecular Biology 2020, 2104: 447-467. PMID: 31953830, DOI: 10.1007/978-1-0716-0239-3_22.Peer-Reviewed Original ResearchConceptsLiquid chromatography-mass spectrometryChromatography-mass spectrometryBiological samplesExposure chemicalsExternal exposureSimultaneous analysisExposome researchHealth outcomesDisease preventionUnique advantagesBiological responsesUntargeted metabolomicsExposure risk assessmentHost susceptibilityMetabolomics technologyExposomeMetabolomic analysisRecent advancesSpectrometryExposureUntargeted metabolomics dataMetabolomicsHuman healthMetabolomics dataCumulative measure
2014
Autonomous Metabolomics for Rapid Metabolite Identification in Global Profiling
Benton HP, Ivanisevic J, Mahieu NG, Kurczy ME, Johnson CH, Franco L, Rinehart D, Valentine E, Gowda H, Ubhi BK, Tautenhahn R, Gieschen A, Fields MW, Patti GJ, Siuzdak G. Autonomous Metabolomics for Rapid Metabolite Identification in Global Profiling. Analytical Chemistry 2014, 87: 884-891. PMID: 25496351, PMCID: PMC4303330, DOI: 10.1021/ac5025649.Peer-Reviewed Original ResearchConceptsMass spectrometry data acquisitionSystems biology levelMass spectrometry analysisBioinformatics resourcesGlobal profilingTandem mass spectrometry dataProfiling datasetsMass spectrometry databaseMass spectrometry dataSpectrometry analysisProfilingData acquisitionSpectrometry dataRapid metabolite identificationMetabolomic profilingUntargeted metabolomicsBacterial samplesMetabolomicsSimultaneous data processingIdentificationMetabolite identificationMetabolomics workflowsFliesAutomatic searchAutonomous approach
2013
Liquid chromatography quadrupole time-of-flight mass spectrometry characterization of metabolites guided by the METLIN database
Zhu ZJ, Schultz AW, Wang J, Johnson CH, Yannone SM, Patti GJ, Siuzdak G. Liquid chromatography quadrupole time-of-flight mass spectrometry characterization of metabolites guided by the METLIN database. Nature Protocols 2013, 8: 451-460. PMID: 23391889, PMCID: PMC3666335, DOI: 10.1038/nprot.2013.004.Peer-Reviewed Original ResearchConceptsLiquid chromatography-quadrupole timeProfiling experimentsMETLIN metabolite databaseMore populationsSeven-step protocolFlight mass spectrometry characterizationMost biological samplesFlight mass spectrometryMass spectrometry characterizationTandem MSMetabolomic featuresQuadrupole timeComprehensive platformUntargeted metabolomicsMass spectrometryMS dataMETLIN databaseLC-Q-TOFMetabolitesMetabolite databasesBiological samplesThousands of peaks