2021
Epigenetic age acceleration, fatigue, and inflammation in patients undergoing radiation therapy for head and neck cancer: A longitudinal study
Xiao C, Beitler JJ, Peng G, Levine ME, Conneely KN, Zhao H, Felger JC, Wommack EC, Chico CE, Jeon S, Higgins KA, Shin DM, Saba NF, Burtness BA, Bruner DW, Miller AH. Epigenetic age acceleration, fatigue, and inflammation in patients undergoing radiation therapy for head and neck cancer: A longitudinal study. Cancer 2021, 127: 3361-3371. PMID: 34027995, DOI: 10.1002/cncr.33641.Peer-Reviewed Original ResearchMeSH KeywordsAccelerationEpigenesis, GeneticFatigueHead and Neck NeoplasmsHumansInflammationLongitudinal StudiesMaleConceptsC-reactive proteinIL-6 levelsEpigenetic age accelerationNeck cancerInterleukin-6Inflammatory markersHigher epigenetic age accelerationLower C-reactive proteinAge accelerationHigher C-reactive proteinMultidimensional Fatigue Inventory-20Poor functional outcomeBlood DNA methylationMonths postradiotherapyAdvanced diseaseConcurrent chemoradiationMost patientsDistant metastasisFunctional outcomeSevere fatigueTreatment completionRadiation therapyPatientsGreater fatigueInflammation
2019
Midlife Study of the Louisville Twins: Connecting Cognitive Development to Biological and Cognitive Aging
Beam CR, Turkheimer E, Finkel D, Levine ME, Zandi E, Guterbock TM, Giangrande EJ, Ryan L, Pasquenza N, Davis DW. Midlife Study of the Louisville Twins: Connecting Cognitive Development to Biological and Cognitive Aging. Behavior Genetics 2019, 50: 73-83. PMID: 31820295, PMCID: PMC7033012, DOI: 10.1007/s10519-019-09983-6.Peer-Reviewed Original ResearchMeSH KeywordsAgingCognitionCognitive AgingFemaleHumansLongitudinal StudiesMaleMiddle AgedPilot ProjectsTwinsTwins, DizygoticTwins, MonozygoticConceptsLouisville Twin StudyCognitive developmentCognitive agingCognitive functioningCognitive developmental trajectoriesLongitudinal Twin StudyTwin studiesPhysical health factorsEpisodic memoryLower biological ageFunctional ability measuresIQ measuresAbility measuresDevelopmental trajectoriesFSIQ scoresMidlife phaseMidlife studyPhysical functioningFunctional abilityChronological ageFunctioningPsychiatric outcomesSecond pilot studySecond studyIQChanging Disease Prevalence, Incidence, and Mortality Among Older Cohorts: The Health and Retirement Study
Crimmins EM, Zhang YS, Kim JK, Levine ME. Changing Disease Prevalence, Incidence, and Mortality Among Older Cohorts: The Health and Retirement Study. The Journals Of Gerontology Series A 2019, 74: s21-s26. PMID: 31724057, PMCID: PMC6853787, DOI: 10.1093/gerona/glz075.Peer-Reviewed Original ResearchMeSH KeywordsAge DistributionAgedAged, 80 and overCohort StudiesGeriatricsHumansIncidenceLongitudinal StudiesMiddle AgedMortalityPrevalenceConceptsMyocardial infarctionHeart diseaseOlder cohortDisease prevalencePopulation healthPrevalence of cancerPrevalence of peopleYounger cohortsRetirement StudyStart of observationCardiovascular conditionsAge 70CohortOlder personsInfarctionPrevalenceIncidenceDeath rateStrokeDiseaseImportant signCancerMortalityHealthDiabetes
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
2015
A Genetic Network Associated With Stress Resistance, Longevity, and Cancer in Humans
Levine ME, Crimmins EM. A Genetic Network Associated With Stress Resistance, Longevity, and Cancer in Humans. The Journals Of Gerontology Series A 2015, 71: 703-712. PMID: 26355015, PMCID: PMC4888382, DOI: 10.1093/gerona/glv141.Peer-Reviewed Original ResearchConceptsFunctional interaction networkSingle nucleotide polymorphismsStress resistanceNucleotide polymorphismsInteraction networksGenome-wide association studiesPathway analysisAssociation studiesPolygenic risk scoresNetworks AssociatedBiological networksHuman longevityUnique phenotypeHuman agingGenesPolymorphismLongevityPhenotypeInnate resilienceRisk scoreAge 52Threefold increasePathwayWeighted polygenic risk scoreResistanceLoneliness, eudaimonia, and the human conserved transcriptional response to adversity
Cole SW, Levine ME, Arevalo JM, Ma J, Weir DR, Crimmins EM. Loneliness, eudaimonia, and the human conserved transcriptional response to adversity. Psychoneuroendocrinology 2015, 62: 11-17. PMID: 26246388, PMCID: PMC4637182, DOI: 10.1016/j.psyneuen.2015.07.001.Peer-Reviewed Original ResearchConceptsRisk factorsBehavioral health risk factorsCommunity-dwelling older adultsPeripheral blood samplesPro-inflammatory genesHealth risk factorsSocial isolationMixed effect linear model analysesChronic social adversityCTRA gene expressionStrength of associationGene expressionPsychological resilience factorsResilience factorsAdversity factorsBlood samplesIncreased expressionMeasures of lonelinessOlder adultsSocial adversityAnxiety symptomsUS HealthLinear model analysisRetirement StudyHealth risksQuantification 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 ResearchMeSH KeywordsAdultAgingBiomarkersCognitionCross-Sectional StudiesHumansLife ExpectancyLongitudinal StudiesMiddle AgedRegression AnalysisTime FactorsConceptsYoung 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 biomarkersTherapy