2024
Fasting-mimicking diet causes hepatic and blood markers changes indicating reduced biological age and disease risk
Brandhorst S, Levine M, Wei M, Shelehchi M, Morgan T, Nayak K, Dorff T, Hong K, Crimmins E, Cohen P, Longo V. Fasting-mimicking diet causes hepatic and blood markers changes indicating reduced biological age and disease risk. Nature Communications 2024, 15: 1309. PMID: 38378685, PMCID: PMC10879164, DOI: 10.1038/s41467-024-45260-9.Peer-Reviewed Original ResearchConceptsMultiple cardiometabolic risk factorsAssociated with reduced insulin resistanceCardiometabolic risk factorsFasting-mimicking dietImmune system agingRandomized clinical trialsAnalysis of blood samplesAutoimmune cellsBiological ageClinical trialsReduce inflammationMarker changesRisk factorsHepatic fatInsulin resistanceAdult study participantsBlood samplesNormal cellsWeight lossReducing biological ageBiomarker of biological agingDamaged cellsStudy participantsDisease riskAge
2021
Biological Aging Predicts Vulnerability to COVID-19 Severity in UK Biobank Participants
Kuo CL, Pilling LC, Atkins JL, Masoli JAH, Delgado J, Tignanelli C, Kuchel GA, Melzer D, Beckman KB, Levine ME. Biological Aging Predicts Vulnerability to COVID-19 Severity in UK Biobank Participants. The Journals Of Gerontology Series A 2021, 76: e133-e141. PMID: 33684206, PMCID: PMC7989601, DOI: 10.1093/gerona/glab060.Peer-Reviewed Original ResearchConceptsCOVID-19 severity outcomeCOVID-19 severityDiseases/conditionsAge-related comorbid conditionsCOVID-19-related mortalityPrevalent chronic diseasesCOVID-19 infectionBiggest risk factorCOVID-19Severity outcomesUK Biobank participantsLogistic regression modelsComorbid conditionsTest positivityRisk factorsChronic diseasesInpatient settingFurther adjustmentSymptom severityEarly pandemicBiobank participantsDisease prevalenceAgeSeverityCOVID-19 pandemic
2018
Is 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
2017
Biological Age, Not Chronological Age, Is Associated with Late-Life Depression
Brown PJ, Wall MM, Chen C, Levine ME, Yaffe K, Roose SP, Rutherford BR. Biological Age, Not Chronological Age, Is Associated with Late-Life Depression. The Journals Of Gerontology Series A 2017, 73: 1370-1376. PMID: 28958059, PMCID: PMC6132120, DOI: 10.1093/gerona/glx162.Peer-Reviewed Original ResearchConceptsLate-life depressionCES-D scoresDepressive symptomsBaseline CES-D scoreBiological ageChronological ageCovariate-adjusted regression modelsOlder biological ageEpidemiologic Studies Depression ScaleSignificant depressive symptomsBody Composition StudyMean chronological ageAge-associated changesNumerous physiological systemsAge-related processesKidney functioningLife depressionDepression ScaleDepression groupBrain disordersHealth AgingLongitudinal associationsSymptomsAgeRegression models
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 cohortsEpigenetic Aging and Immune Senescence in Women With Insomnia Symptoms: Findings From the Women’s Health Initiative Study
Carroll JE, Irwin MR, Levine M, Seeman TE, Absher D, Assimes T, Horvath S. Epigenetic Aging and Immune Senescence in Women With Insomnia Symptoms: Findings From the Women’s Health Initiative Study. Biological Psychiatry 2016, 81: 136-144. PMID: 27702440, PMCID: PMC5536960, DOI: 10.1016/j.biopsych.2016.07.008.Peer-Reviewed Original ResearchConceptsNaive T cellsWomen's Health Initiative studyDifferentiated T cellsT cellsInsomnia symptomsAge-related morbidityShort sleepSleep durationInitiative studyLarge population-based studyEpigenetic agePopulation-based studyLong sleep durationSymptoms of insomniaImmune senescenceImmune cellsLong sleepAdvanced epigenetic ageCell countSymptomsInfluence riskSleepCross-sectional dataAgeAge accelerationMenopause accelerates biological aging
Levine ME, Lu AT, Chen BH, Hernandez DG, Singleton AB, Ferrucci L, Bandinelli S, Salfati E, Manson JE, Quach A, Kusters CD, Kuh D, Wong A, Teschendorff AE, Widschwendter M, Ritz BR, Absher D, Assimes TL, Horvath S. Menopause accelerates biological aging. Proceedings Of The National Academy Of Sciences Of The United States Of America 2016, 113: 9327-9332. PMID: 27457926, PMCID: PMC4995944, DOI: 10.1073/pnas.1604558113.Peer-Reviewed Original ResearchConceptsEpigenetic age accelerationBilateral oophorectomyBuccal epitheliumAge accelerationHealth initiativesMedical Research Council National SurveyMenopausal hormone therapyWomen's Health InitiativeEpigenetic clock analysisHigher epigenetic ageMendelian randomization approachMendelian randomization analysisEpigenetic ageHormone therapyEarly menopauseParkinson's diseaseMenopauseReproductive agingSignificant associationLarger studyBloodRandomization analysisDiseaseAgeEpithelium
2015
Early-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
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