2023
Identifying Sex-Specific Cancer Metabolites and Associations to Prognosis
Shen X, Ma S, Khan S, Johnson C. Identifying Sex-Specific Cancer Metabolites and Associations to Prognosis. Learning Materials In Biosciences 2023, 271-299. DOI: 10.1007/978-3-031-44256-8_11.Peer-Reviewed Original ResearchMetabolomics dataSurvival analysisCancer metabolitesColorectal cancerCox proportional hazards regression analysisProportional hazards regression analysisHazards regression analysisSex-specific associationsClinical dataCancer patientsCancer prognosisCancerMetabolomicsMultiple comparisonsPrognosisAnalytical methodSurvivalOncology studiesPatientsAlternative analytical approachRegression analysisSex-specificMetabolitesSex interactionAssociation
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
2018
Beyond genomics: understanding exposotypes through metabolomics
Rattray NJW, Deziel NC, Wallach JD, Khan SA, Vasiliou V, Ioannidis JPA, Johnson CH. Beyond genomics: understanding exposotypes through metabolomics. Human Genomics 2018, 12: 4. PMID: 29373992, PMCID: PMC5787293, DOI: 10.1186/s40246-018-0134-x.Peer-Reviewed Original ResearchConceptsGene-environment interactionsChallenges of metabolomicsIntegration of genomicsHuman genomeMultiple genetic variantsGenetic variationGenomic technologiesAssociation studiesMetabolic traitsMetabolite productionMetabolic processesIndividual phenotypesMetabolome-wide association studyProtein synthesisHuman population levelGenetic variantsBiological impactGenomicsDisease mechanismsMetabolomic informationWealth of informationPopulation levelSmall moleculesMetabolomicsTraits
2017
Exposome-Scale Investigations Guided by Global Metabolomics, Pathway Analysis, and Cognitive Computing
Warth B, Spangler S, Fang M, Johnson CH, Forsberg EM, Granados A, Martin RL, Domingo-Almenara X, Huan T, Rinehart D, Montenegro-Burke JR, Hilmers B, Aisporna A, Hoang LT, Uritboonthai W, Benton HP, Richardson SD, Williams AJ, Siuzdak G. Exposome-Scale Investigations Guided by Global Metabolomics, Pathway Analysis, and Cognitive Computing. Analytical Chemistry 2017, 89: 11505-11513. PMID: 28945073, DOI: 10.1021/acs.analchem.7b02759.Peer-Reviewed Original ResearchConceptsUnique small moleculesChemical structureStraightforward elucidationSmall moleculesExposomics researchBiotransformation productsFood contaminantsComprehensive exposure assessmentSpecific biological effectsPotential toxicantsBiological effectsToxic effectsPathway analysisConcurrent exposureHuman healthMoleculesEnvironmental exposuresGlobal metabolomicsEnvironmental toxicantsMetabolomicsContaminantsExposure assessmentWide varietyElucidationToxicantsEnvironmental Influences in the Etiology of Colorectal Cancer: the Premise of Metabolomics
Rattray NJW, Charkoftaki G, Rattray Z, Hansen JE, Vasiliou V, Johnson CH. Environmental Influences in the Etiology of Colorectal Cancer: the Premise of Metabolomics. Current Pharmacology Reports 2017, 3: 114-125. PMID: 28642837, PMCID: PMC5475285, DOI: 10.1007/s40495-017-0088-z.Peer-Reviewed Original ResearchColorectal cancerRisk of CRCPurpose of ReviewInGerm-line mutationsCRC casesCRC developmentExcessive alcoholMultifaceted etiologyPersonalized therapeutic interventionsTherapeutic interventionsSummaryThis reviewDietary metabolitesEtiologyHost metabolismEnvironmental exposuresGenetic polymorphismsCancerExposure eventsPrevailing majorityExposureAlcohol metabolic pathwayMetabolomicsCurrent understandingMetabolic pathwaysMicrobiome
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