2022
Life course traumas and cardiovascular disease—the mediating role of accelerated aging
Cao X, Zhang J, Ma C, Li X, Kuo C, Levine ME, Hu G, Allore H, Chen X, Wu X, Liu Z. Life course traumas and cardiovascular disease—the mediating role of accelerated aging. Annals Of The New York Academy Of Sciences 2022, 1515: 208-218. PMID: 35725988, PMCID: PMC10145586, DOI: 10.1111/nyas.14843.Peer-Reviewed Original Research
2021
Association of Epigenetic Age Acceleration With Risk Factors, Survival, and Quality of Life in Patients With Head and Neck Cancer
Xiao C, Miller AH, Peng G, Levine ME, Conneely KN, Zhao H, Eldridge RC, Wommack EC, Jeon S, Higgins KA, Shin DM, Saba NF, Smith AK, Burtness B, Park HS, Irwin ML, Ferrucci LM, Ulrich B, Qian DC, Beitler JJ, Bruner DW. Association of Epigenetic Age Acceleration With Risk Factors, Survival, and Quality of Life in Patients With Head and Neck Cancer. International Journal Of Radiation Oncology • Biology • Physics 2021, 111: 157-167. PMID: 33882281, PMCID: PMC8802868, DOI: 10.1016/j.ijrobp.2021.04.002.Peer-Reviewed Original ResearchConceptsProgression-free survivalBody mass indexQuality of lifeHigher epigenetic age accelerationTreatment-related symptomsOverall survivalEpigenetic age accelerationRadiation therapyRisk factorsClinical characteristicsNeck cancerAge accelerationWorse overall survivalHuman papilloma virusFaster biological agingAdverse eventsDistant metastasisLifestyle factorsMass indexCancer outcomesBlood biomarkersPapilloma virusFunctional assessmentHigher HRPatients
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 individualsTime and the Metrics of Aging
Ferrucci L, Levine ME, Kuo PL, Simonsick EM. Time and the Metrics of Aging. Circulation Research 2018, 123: 740-744. PMID: 30355074, PMCID: PMC6205734, DOI: 10.1161/circresaha.118.312816.Peer-Reviewed Original ResearchPredictors and implications of accelerated cognitive aging
Levine ME, Harrati A, Crimmins EM. Predictors and implications of accelerated cognitive aging. Biodemography And Social Biology 2018, 64: 83-101. PMID: 31007841, PMCID: PMC6469682, DOI: 10.1080/19485565.2018.1552513.Peer-Reviewed Original ResearchConceptsCognitive ageCognitive agingCognitive declineNon-demented older adultsPathological cognitive declineAge-related declineIndividual differencesCognitive slopesOlder adultsLongitudinal studyComposite measureRetirement StudyAPOE ε4Performance testsDementia transitionSubsequent dementiaDementiaMeasuresRate of declineParticipantsAgingDeclineDifferent conclusionsRace/ethnicityAbsolute levelsIs 60 the New 50? Examining Changes in Biological Age Over the Past Two Decades
Levine ME, Crimmins EM. Is 60 the New 50? Examining Changes in Biological Age Over the Past Two Decades. Demography 2018, 55: 387-402. PMID: 29511995, PMCID: PMC5897168, DOI: 10.1007/s13524-017-0644-5.Peer-Reviewed Original ResearchConceptsBiological ageModifiable health behaviorsModifiable risk factorsLife expectancySex-specific changesNHANES IVMedication useNHANES IIIRisk factorsDegree of improvementHealth behaviorsOlder groupOlder adultsPace of agingAgeSex groupsGreater declineGreater improvementChronological ageContribution of changesHealthExpectancy
2016
DNA methylation-based measures of biological age: meta-analysis predicting time to death
Chen BH, Marioni RE, Colicino E, Peters MJ, Ward-Caviness CK, Tsai PC, Roetker NS, Just AC, Demerath EW, Guan W, Bressler J, Fornage M, Studenski S, Vandiver AR, Moore AZ, Tanaka T, Kiel DP, Liang L, Vokonas P, Schwartz J, Lunetta KL, Murabito JM, Bandinelli S, Hernandez DG, Melzer D, Nalls M, Pilling LC, Price TR, Singleton AB, Gieger C, Holle R, Kretschmer A, Kronenberg F, Kunze S, Linseisen J, Meisinger C, Rathmann W, Waldenberger M, Visscher PM, Shah S, Wray NR, McRae AF, Franco OH, Hofman A, Uitterlinden AG, Absher D, Assimes T, Levine ME, Lu AT, Tsao PS, Hou L, Manson JE, Carty CL, LaCroix AZ, Reiner AP, Spector TD, Feinberg AP, Levy D, Baccarelli A, van Meurs J, Bell JT, Peters A, Deary IJ, Pankow JS, Ferrucci L, Horvath S. DNA methylation-based measures of biological age: meta-analysis predicting time to death. Aging 2016, 8: 1844-1859. PMID: 27690265, PMCID: PMC5076441, DOI: 10.18632/aging.101020.Peer-Reviewed Original ResearchConceptsCause mortalityBlood cell compositionRisk factorsTraditional risk factorsBlood cell countAdditional risk factorsChronological ageEpigenetic ageCell compositionBiological ageEpigenetic age accelerationStudy ACell countEthnic groupsSignificant associationHuman cohortsRobust biomarkersMortalityTotal sample sizeMethylation-based measuresDNA methylation-based measuresEpigenetic age estimatesAgeAge accelerationDifferent cohortsAn epigenetic clock analysis of race/ethnicity, sex, and coronary heart disease
Horvath S, Gurven M, Levine ME, Trumble BC, Kaplan H, Allayee H, Ritz BR, Chen B, Lu AT, Rickabaugh TM, Jamieson BD, Sun D, Li S, Chen W, Quintana-Murci L, Fagny M, Kobor MS, Tsao PS, Reiner AP, Edlefsen KL, Absher D, Assimes TL. An epigenetic clock analysis of race/ethnicity, sex, and coronary heart disease. Genome Biology 2016, 17: 171. PMID: 27511193, PMCID: PMC4980791, DOI: 10.1186/s13059-016-1030-0.Peer-Reviewed Original ResearchConceptsMortality rateRace/ethnicityRisk factorsTraditional cardio-metabolic risk factorsCardio-metabolic risk factorsCHD risk factorsCoronary heart diseaseCardio-metabolic diseasesEpigenetic clock analysisIntrinsic epigenetic age accelerationAfrican AmericansEpigenetic aging ratesLonger life expectancyCHD outcomesOlder African AmericansHeart diseaseHigh burdenEpigenetic age accelerationLower mortalityDifferent mortality ratesBrain samplesEthnic groupsBrain tissueBloodSocioeconomic differences
2014
A Polygenic Risk Score Associated with Measures of Depressive Symptoms Among Older Adults
Levine ME, Crimmins EM, Prescott CA, Phillips D, Arpawong TE, Lee J. A Polygenic Risk Score Associated with Measures of Depressive Symptoms Among Older Adults. Biodemography And Social Biology 2014, 60: 199-211. PMID: 25343367, PMCID: PMC4298361, DOI: 10.1080/19485565.2014.952705.Peer-Reviewed Original ResearchConceptsHigher CESD scoresPolygenic risk scoresCESD scoresDepressive symptomsEpidemiological Studies Depression Scale scoreWeighted polygenic risk scoreLogistic regression modelsReplication sampleMultinomial logistic regression modelsRisk scoreScale scoreDiscovery setIndividual susceptibilitySymptomsOlder adultsAnalytic sampleGenetic riskSingle nucleotide polymorphismsScoresRetirement StudyRegression modelsDepressionPercent increaseAssociationHigh levels