2020
Reprogramming to recover youthful epigenetic information and restore vision
Lu Y, Brommer B, Tian X, Krishnan A, Meer M, Wang C, Vera DL, Zeng Q, Yu D, Bonkowski MS, Yang JH, Zhou S, Hoffmann EM, Karg MM, Schultz MB, Kane AE, Davidsohn N, Korobkina E, Chwalek K, Rajman LA, Church GM, Hochedlinger K, Gladyshev VN, Horvath S, Levine ME, Gregory-Ksander MS, Ksander BR, He Z, Sinclair DA. Reprogramming to recover youthful epigenetic information and restore vision. Nature 2020, 588: 124-129. PMID: 33268865, PMCID: PMC7752134, DOI: 10.1038/s41586-020-2975-4.Peer-Reviewed Original ResearchMeSH KeywordsAgingAnimalsAxonsCell Line, TumorCell SurvivalCellular ReprogrammingDependovirusDioxygenasesDisease Models, AnimalDNA MethylationDNA-Binding ProteinsEpigenesis, GeneticEyeFemaleGenetic VectorsGlaucomaHumansKruppel-Like Factor 4Kruppel-Like Transcription FactorsMiceMice, Inbred C57BLNerve RegenerationOctamer Transcription Factor-3Optic Nerve InjuriesProto-Oncogene ProteinsRetinal Ganglion CellsSOXB1 Transcription FactorsTranscriptomeVision, OcularConceptsDNA methylation patternsMethylation patternsTissue functionCentral nervous systemGene expression patternsCause of agingEpigenetic noiseEpigenetic informationDNA methylationEctopic expressionExpression patternsKLF4 geneMouse retinal ganglion cellsMammalian tissuesRetinal ganglion cellsAged miceGanglion cellsVision lossTissue dysfunctionMouse modelCNS tissueAxon regenerationNervous systemDegenerative processOlder individuals
2015
DNA methylation age of blood predicts future onset of lung cancer in the women's health initiative
Levine ME, Hosgood HD, Chen B, Absher D, Assimes T, Horvath S. DNA methylation age of blood predicts future onset of lung cancer in the women's health initiative. Aging 2015, 7: 690-700. PMID: 26411804, PMCID: PMC4600626, DOI: 10.18632/aging.100809.Peer-Reviewed Original ResearchConceptsIntrinsic epigenetic age accelerationWomen's Health InitiativeLung cancer incidenceLung cancer susceptibilityLung cancerHealth initiativesCancer incidenceCox proportional hazards modelCancer susceptibilityLung cancer casesProportional hazards modelCurrent smokersAge-related declineAge-associated diseasesAge-related diseasesFuture onsetCancer casesCigarette smokeHazards modelUseful biomarkerEpigenetic age accelerationCandidate biomarkersOlder individualsDNA methylation ageGenotoxic carcinogensEffects of Recent Stress and Variation in the Serotonin Transporter Polymorphism (5-HTTLPR) on Depressive Symptoms: A Repeated-Measures Study of Adults Age 50 and Older
Arpawong TE, Lee J, Phillips DF, Crimmins EM, Levine ME, Prescott CA. Effects of Recent Stress and Variation in the Serotonin Transporter Polymorphism (5-HTTLPR) on Depressive Symptoms: A Repeated-Measures Study of Adults Age 50 and Older. Behavior Genetics 2015, 46: 72-88. PMID: 26330209, PMCID: PMC4720538, DOI: 10.1007/s10519-015-9740-8.Peer-Reviewed Original ResearchMeSH KeywordsAgedAllelesDepressionDepressive DisorderEthnicityFemaleGene-Environment InteractionGenetic Association StudiesGenetic Predisposition to DiseaseHaplotypesHumansLife Change EventsMaleMiddle AgedPolymorphism, Single NucleotidePromoter Regions, GeneticSerotonin Plasma Membrane Transport ProteinsStress, PsychologicalConceptsDepressive symptomsU.S. population-based studyRecent stressOlder adultsStress-diathesis hypothesisPopulation-based studySerotonin transporter gene promoter regionSingle nucleotide polymorphismsDepressive symptom levelsPopulation-based sampleAdults age 50Race/ethnicityAge 50Repeated-measures designSerotonin transporter polymorphismDepressive symptomatologySymptomsOlder individualsSymptom levelsReverse causationTransporter polymorphismMeasures studyDifferential effectsShort alleleStressful events