2018
Machine learning selected smoking-associated DNA methylation signatures that predict HIV prognosis and mortality
Zhang X, Hu Y, Aouizerat BE, Peng G, Marconi VC, Corley MJ, Hulgan T, Bryant KJ, Zhao H, Krystal JH, Justice AC, Xu K. Machine learning selected smoking-associated DNA methylation signatures that predict HIV prognosis and mortality. Clinical Epigenetics 2018, 10: 155. PMID: 30545403, PMCID: PMC6293604, DOI: 10.1186/s13148-018-0591-z.Peer-Reviewed Original ResearchConceptsWhite blood cellsSmoking-associated DNA methylationHIV prognosisInfection-related clinical outcomesBlood cellsSmoking-associated CpGsHIV-positive individualsImmune-related outcomesEpigenome-wide significant CpGsClinical outcomesTobacco smokingVeteran populationSurvival rateDNA methylation indexMortalityFrailtyHIVMethylation indexPrognosisMethylation signaturesDNA methylationOutcomesCell cycleCpGSignificant CpGs
1999
Toward a rational pharmacotherapy of comorbid substance abuse in schizophrenic patients
Krystal J, D'Souza D, Madonick S, Petrakis I. Toward a rational pharmacotherapy of comorbid substance abuse in schizophrenic patients. Schizophrenia Research 1999, 35: s35-s49. PMID: 10190224, DOI: 10.1016/s0920-9964(98)00162-5.Peer-Reviewed Original ResearchConceptsSchizophrenic patientsSubstance abuseTerms of rehospitalizationComorbid substance abuseExacerbation of symptomsHealth care expensesSelf-medication hypothesisBetter prognosisMedical illnessPharmacotherapeutic approachesRational pharmacotherapyNonschizophrenic populationsPatientsVocational functionIllicit substancesCare expensesAbuseVulnerability hypothesisRehospitalizationExacerbationMedicationsPharmacotherapyPrognosisPsychostimulantsIllness