2021
Extending human healthspan and longevity: a symposium report
DeVito LM, Barzilai N, Cuervo AM, Niedernhofer LJ, Milman S, Levine M, Promislow D, Ferrucci L, Kuchel GA, Mannick J, Justice J, Gonzales MM, Kirkland JL, Cohen P, Campisi J. Extending human healthspan and longevity: a symposium report. Annals Of The New York Academy Of Sciences 2021, 1507: 70-83. PMID: 34498278, PMCID: PMC10231756, DOI: 10.1111/nyas.14681.Peer-Reviewed Original ResearchConceptsAge-related diseasesEarly-stage clinical trialsField of geroscienceReduction of morbidityBiological agingEnd of lifeClinical trialsNovel agentsClinical developmentGeroscience hypothesisFDA approvalDrug evaluationMultiple disordersTherapyDiseaseSymposium reportConcept studyHuman healthspanHealthspanAging processSignificant barriersMorbidityDysfunctionAgingTrials
2016
Genetic variants near MLST8 and DHX57 affect the epigenetic age of the cerebellum
Lu AT, Hannon E, Levine ME, Hao K, Crimmins EM, Lunnon K, Kozlenkov A, Mill J, Dracheva S, Horvath S. Genetic variants near MLST8 and DHX57 affect the epigenetic age of the cerebellum. Nature Communications 2016, 7: 10561. PMID: 26830004, PMCID: PMC4740877, DOI: 10.1038/ncomms10561.Peer-Reviewed Original ResearchConceptsWide association studyCis-acting effectsDNA methylation levelsAge-related diseasesGWAS analysisSignificant SNPsGene setsMLST8Association studiesEpigenetic clocksMethylation levelsEpigenetic biomarkersGenetic variantsExpression levelsSNPsUnderstanding agingEpigenetic ageTissue ageCerebellar samplesSignificant overlapGWASLociAlzheimer's diseaseClockVariants
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 carcinogensQuantification of biological aging in young adults
Belsky DW, Caspi A, Houts R, Cohen HJ, Corcoran DL, Danese A, Harrington H, Israel S, Levine ME, Schaefer JD, Sugden K, Williams B, Yashin AI, Poulton R, Moffitt TE. Quantification of biological aging in young adults. Proceedings Of The National Academy Of Sciences Of The United States Of America 2015, 112: e4104-e4110. PMID: 26150497, PMCID: PMC4522793, DOI: 10.1073/pnas.1506264112.Peer-Reviewed Original ResearchConceptsYoung adultsYoung humansSame chronological ageSelf-reported bad healthCognitive declineOlder adultsBiological agingYoung individualsChronological ageMultiple organ systemsBrain agingLongitudinal measuresAge-related diseasesChronic diseasesAdultsFourth decadeBirth cohortOrgan systemsWorse healthIndividualsRejuvenation therapyTime pointsHuman agingMultiple biomarkersTherapyEarly-Life Intelligence Predicts Midlife Biological Age
Schaefer JD, Caspi A, Belsky DW, Harrington H, Houts R, Israel S, Levine ME, Sugden K, Williams B, Poulton R, Moffitt TE. Early-Life Intelligence Predicts Midlife Biological Age. The Journals Of Gerontology Series B 2015, 71: 968-977. PMID: 26014827, PMCID: PMC5067943, DOI: 10.1093/geronb/gbv035.Peer-Reviewed Original ResearchConceptsBiological ageEarly-life intelligencePopulation-representative birth cohortNutrition Examination SurveyRates of morbidityMost age-related diseasesAdvanced biological ageHeart ageExamination SurveyAge-related diseasesNational HealthChildhood healthBirth cohortParental socioeconomic statusStudy membersDunedin StudySocioeconomic statusMultiple causesTelomere lengthSignificant predictorsAgeEarly childhoodMortalityMidlifeChildhood
2014
Evidence of accelerated aging among African Americans and its implications for mortality
Levine ME, Crimmins EM. Evidence of accelerated aging among African Americans and its implications for mortality. Social Science & Medicine 2014, 118: 27-32. PMID: 25086423, PMCID: PMC4197001, DOI: 10.1016/j.socscimed.2014.07.022.Peer-Reviewed Original ResearchConceptsBiological ageNutrition Examination SurveyThird National HealthHigher biological ageMajor age-related diseasesChronological ageCancer mortalityExamination SurveyAge-related diseasesNational HealthEarly deathAge 60Age 30MortalityAge accountRacial disparitiesAgePremature declineWhite participantsAfrican AmericansCurrent studyMortality selectionHealthWhitesAging processLow 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