2020
Vasomotor Symptoms and Accelerated Epigenetic Aging in the Women’s Health Initiative (WHI)
Thurston RC, Carroll JE, Levine M, Chang Y, Crandall C, Manson JE, Pal L, Hou L, Shadyab AH, Horvath S. Vasomotor Symptoms and Accelerated Epigenetic Aging in the Women’s Health Initiative (WHI). The Journal Of Clinical Endocrinology & Metabolism 2020, 105: dgaa081. PMID: 32080740, PMCID: PMC7069347, DOI: 10.1210/clinem/dgaa081.Peer-Reviewed Original ResearchConceptsVasomotor symptomsWomen's Health InitiativePostmenopausal womenHealth initiativesMenopausal vasomotor symptomsSevere hot flashesBody mass indexAdverse health indicatorsPoor health outcomesYears of ageBiological agingRace/ethnicityAccelerated Epigenetic AgingHormone therapyHot flashesMass indexMenopausal symptomsSleep disturbancesEpigenetic agingEarly deathDNAm PhenoAgeHealth outcomesTiming groupsDNAm GrimAgeSymptoms
2018
A new aging measure captures morbidity and mortality risk across diverse subpopulations from NHANES IV: A cohort study
Liu Z, Kuo PL, Horvath S, Crimmins E, Ferrucci L, Levine M. A new aging measure captures morbidity and mortality risk across diverse subpopulations from NHANES IV: A cohort study. PLOS Medicine 2018, 15: e1002718. PMID: 30596641, PMCID: PMC6312200, DOI: 10.1371/journal.pmed.1002718.Peer-Reviewed Original ResearchConceptsPhenotypic AgeNHANES IVCause mortalityMortality riskHealth behaviorsRepresentative US adult populationDisease-free personsOld-old adultsChronological ageRisk of deathAge 85 yearsCause-specific mortalityCause of deathProportional hazards modelUS adult populationHealth behavior characteristicsDisease countsPotential biological mechanismsEfficacy of interventionsRace/ethnicityNormal BMICohort studyDiverse subpopulationsHazards modelRisk 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 carcinogens
2014
Low Protein Intake Is Associated with a Major Reduction in IGF-1, Cancer, and Overall Mortality in the 65 and Younger but Not Older Population
Levine ME, Suarez JA, Brandhorst S, Balasubramanian P, Cheng CW, Madia F, Fontana L, Mirisola MG, Guevara-Aguirre J, Wan J, Passarino G, Kennedy BK, Wei M, Cohen P, Crimmins EM, Longo VD. Low Protein Intake Is Associated with a Major Reduction in IGF-1, Cancer, and Overall Mortality in the 65 and Younger but Not Older Population. Cell Metabolism 2014, 19: 407-417. PMID: 24606898, PMCID: PMC3988204, DOI: 10.1016/j.cmet.2014.02.006.Peer-Reviewed Original ResearchMeSH KeywordsAgedAnimalsBreast NeoplasmsCarrier ProteinsCross-Sectional StudiesDiabetes MellitusDiet, Protein-RestrictedFemaleFollow-Up StudiesHumansInsulin-Like Growth Factor ILongevityMaleMelanomaMiceMice, Inbred BALB CMice, Inbred C57BLMice, KnockoutMiddle AgedNeoplasmsProportional Hazards ModelsSignal TransductionConceptsHigh protein intakeOverall mortalityProtein intakeCancer death riskProgression of breastLow protein intakeLow-protein dietHigh protein consumptionDiabetes mortalityAge-related diseasesDeath riskProtein restrictionIGF-1Melanoma tumorsMortalityMouse studiesOlder populationProtein dietOlder adultsIntakeMajor reductionProtein consumptionCancerLow proteinAge
2012
Modeling the Rate of Senescence: Can Estimated Biological Age Predict Mortality More Accurately Than Chronological Age?
Levine ME. Modeling the Rate of Senescence: Can Estimated Biological Age Predict Mortality More Accurately Than Chronological Age? The Journals Of Gerontology Series A 2012, 68: 667-674. PMID: 23213031, PMCID: PMC3660119, DOI: 10.1093/gerona/gls233.Peer-Reviewed Original Research