2021
Change in Alcohol Use Based on Self-Report and a Quantitative Biomarker, Phosphatidylethanol, in People With HIV
McGinnis KA, Tate JP, Bryant KJ, Justice AC, O’Connor P, Rodriguez-Barradas MC, Crystal S, Cutter CJ, Hansen NB, Maisto SA, Marconi VC, Williams EC, Cook RL, Gordon AJ, Gordon KS, Eyawo O, Edelman EJ, Fiellin DA. Change in Alcohol Use Based on Self-Report and a Quantitative Biomarker, Phosphatidylethanol, in People With HIV. AIDS And Behavior 2021, 26: 786-794. PMID: 34542779, DOI: 10.1007/s10461-021-03438-y.Peer-Reviewed Original ResearchMeSH KeywordsAlcohol DrinkingBiomarkersGlycerophospholipidsHIV InfectionsHumansMaleMiddle AgedSelf ReportFactors associated with phosphatidylethanol (PEth) sensitivity for detecting unhealthy alcohol use: An individual patient data meta‐analysis
Hahn JA, Murnane PM, Vittinghoff E, Muyindike WR, Emenyonu NI, Fatch R, Chamie G, Haberer JE, Francis JM, Kapiga S, Jacobson K, Myers B, Couture MC, DiClemente RJ, Brown JL, So-Armah K, Sulkowski M, Marcus GM, Woolf-King S, Cook RL, Richards VL, Molina P, Ferguson T, Welsh D, Piano MR, Phillips SA, Stewart S, Afshar M, Page K, McGinnis K, Fiellin DA, Justice AC, Bryant K, Saitz R. Factors associated with phosphatidylethanol (PEth) sensitivity for detecting unhealthy alcohol use: An individual patient data meta‐analysis. Alcohol Clinical And Experimental Research 2021, 45: 1166-1187. PMID: 33837975, PMCID: PMC8254773, DOI: 10.1111/acer.14611.Peer-Reviewed Original ResearchConceptsIndividual participant dataUnhealthy alcohol useRace/ethnicitySelf-reported alcohol useAlcohol useBiologic variablesHigher oddsAlcohol consumptionBlood collectionAdvanced liver fibrosisUnhealthy alcohol consumptionIndividual patient dataAUDIT-C scoresAssociation of sexAfrican AmericansHigher BMILiver fibrosisEligible studiesHigher hemoglobinClinical careLower oddsAlcohol metabolitesParticipant dataPatient dataMixed effects models
2020
Validating Self‐Reported Unhealthy Alcohol Use With Phosphatidylethanol (PEth) Among Patients With HIV
Eyawo O, Deng Y, Dziura J, Justice AC, McGinnis K, Tate JP, Rodriguez‐Barradas M, Hansen NB, Maisto SA, Marconi VC, O’Connor P, Bryant K, Fiellin DA, Edelman EJ. Validating Self‐Reported Unhealthy Alcohol Use With Phosphatidylethanol (PEth) Among Patients With HIV. Alcohol Clinical And Experimental Research 2020, 44: 2053-2063. PMID: 33460225, PMCID: PMC8856627, DOI: 10.1111/acer.14435.Peer-Reviewed Original ResearchConceptsUnhealthy alcohol useSignificant alcohol useHeavy drinking daysAlcohol use disorderTimeline FollowbackAlcohol useSelf-reported alcohol useNumber of drinksClinical trialsRisk drinkingUse disordersDrinking daysBiomarker-based evidenceSample of PWHDrinks/dayMean numberSelf-reported alcohol consumptionMagnitude of associationBlood spot samplesLiver diseasePEth levelsTLFB interviewAlcohol consumptionLogistic regressionPatientsDNA methylation signature on phosphatidylethanol, not on self-reported alcohol consumption, predicts hazardous alcohol consumption in two distinct populations
Liang X, Justice AC, So-Armah K, Krystal JH, Sinha R, Xu K. DNA methylation signature on phosphatidylethanol, not on self-reported alcohol consumption, predicts hazardous alcohol consumption in two distinct populations. Molecular Psychiatry 2020, 26: 2238-2253. PMID: 32034291, PMCID: PMC8440221, DOI: 10.1038/s41380-020-0668-x.Peer-Reviewed Original ResearchConceptsHazardous alcohol drinkingSelf-reported alcohol consumptionAlcohol consumptionCohort 2Cohort 1Epigenome-wide association studiesSelf-reported dataHazardous alcohol consumptionAlcohol use disorderDNAm signaturesObjective measuresAlcohol drinkingClinical assessmentUse disordersRobust biomarkersDNA methylation signaturesValidation setDistinct populationsCharacteristic curvePEthEpigenetic biomarkersMethylation signatures
2019
Differentiating Types of Self-Reported Alcohol Abstinence
Gordon KS, McGinnis K, Dao C, Rentsch CT, Small A, Smith RV, Kember RL, Gelernter J, Kranzler HR, Bryant KJ, Tate JP, Justice AC. Differentiating Types of Self-Reported Alcohol Abstinence. AIDS And Behavior 2019, 24: 655-665. PMID: 31435887, PMCID: PMC6994373, DOI: 10.1007/s10461-019-02638-x.Peer-Reviewed Original ResearchConceptsLifetime abstainersSelf-reported alcohol abstinenceAlcohol biomarkersGenetic polymorphismsLogistic regression modelsHepatitis CAlcohol abstinenceUninfected individualsCharacteristics of peopleAlcohol useAbstinenceHealth effectsSmokingAbstainersBiomarkersRegression modelsOddsAssociationPLWHPolymorphismHIVCocaine
2018
Alcohol and Mortality
Eyawo O, McGinnis KA, Justice AC, Fiellin DA, Hahn JA, Williams EC, Gordon AJ, Marshall BDL, Kraemer KL, Crystal S, Gaither JR, Edelman EJ, Bryant KJ, Tate JP. Alcohol and Mortality. JAIDS Journal Of Acquired Immune Deficiency Syndromes 2018, 77: 135-143. PMID: 29112041, PMCID: PMC5762259, DOI: 10.1097/qai.0000000000001588.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overAlcoholismBiomarkersFemaleGlycerophospholipidsHIV InfectionsHumansLongitudinal StudiesMaleMiddle AgedSelf ReportConceptsHepatitis C virusAlcohol exposureAlcohol useDirect biomarkerVeterans Aging Cohort Study Biomarker CohortBlood collection dateRecent alcohol exposureHIV viral suppressionUnhealthy alcohol useRelationship of alcoholAUDIT-C scoresViral suppressionC virusHigh riskRisk of harmHIVClinical settingMortalityPEthExposureBiomarkersRiskImproved detectionAuditIndividuals
2017
Validating Harmful Alcohol Use as a Phenotype for Genetic Discovery Using Phosphatidylethanol and a Polymorphism in ADH1B
Justice AC, McGinnis KA, Tate JP, Xu K, Becker WC, Zhao H, Gelernter J, Kranzler HR. Validating Harmful Alcohol Use as a Phenotype for Genetic Discovery Using Phosphatidylethanol and a Polymorphism in ADH1B. Alcohol Clinical And Experimental Research 2017, 41: 998-1003. PMID: 28295416, PMCID: PMC5501250, DOI: 10.1111/acer.13373.Peer-Reviewed Original ResearchConceptsHarmful alcohol useAlcohol exposureAlcohol useElectronic health record dataEHR dataAUDIT-C scoresHealth record dataLongitudinal electronic health record dataLongitudinal trajectoriesChi-square testEHR-derived phenotypesStudy cohortBlood drawCommon missense polymorphismGenetic risk variantsBlood samplingMissense polymorphismAlcohol riskQuantitative biomarkersRecord dataMedianRisk variantsOverall sampleAfrican AmericansADH1B gene