Quantification of biological aging in young adults.
| dc.contributor.author | Belsky, Daniel W | |
| dc.contributor.author | Caspi, Avshalom | |
| dc.contributor.author | Houts, Renate | |
| dc.contributor.author | Cohen, Harvey J | |
| dc.contributor.author | Corcoran, David L | |
| dc.contributor.author | Danese, Andrea | |
| dc.contributor.author | Harrington, HonaLee | |
| dc.contributor.author | Israel, Salomon | |
| dc.contributor.author | Levine, Morgan E | |
| dc.contributor.author | Schaefer, Jonathan D | |
| dc.contributor.author | Sugden, Karen | |
| dc.contributor.author | Williams, Ben | |
| dc.contributor.author | Yashin, Anatoli I | |
| dc.contributor.author | Poulton, Richie | |
| dc.contributor.author | Moffitt, Terrie E | |
| dc.coverage.spatial | United States | |
| dc.date.accessioned | 2015-07-24T18:29:58Z | |
| dc.date.issued | 2015-07-28 | |
| dc.description.abstract | Antiaging therapies show promise in model organism research. Translation to humans is needed to address the challenges of an aging global population. Interventions to slow human aging will need to be applied to still-young individuals. However, most human aging research examines older adults, many with chronic disease. As a result, little is known about aging in young humans. We studied aging in 954 young humans, the Dunedin Study birth cohort, tracking multiple biomarkers across three time points spanning their third and fourth decades of life. We developed and validated two methods by which aging can be measured in young adults, one cross-sectional and one longitudinal. Our longitudinal measure allows quantification of the pace of coordinated physiological deterioration across multiple organ systems (e.g., pulmonary, periodontal, cardiovascular, renal, hepatic, and immune function). We applied these methods to assess biological aging in young humans who had not yet developed age-related diseases. Young individuals of the same chronological age varied in their "biological aging" (declining integrity of multiple organ systems). Already, before midlife, individuals who were aging more rapidly were less physically able, showed cognitive decline and brain aging, self-reported worse health, and looked older. Measured biological aging in young adults can be used to identify causes of aging and evaluate rejuvenation therapies. | |
| dc.identifier | ||
| dc.identifier | 1506264112 | |
| dc.identifier.eissn | 1091-6490 | |
| dc.identifier.uri | ||
| dc.language | eng | |
| dc.publisher | Proceedings of the National Academy of Sciences | |
| dc.relation.ispartof | Proc Natl Acad Sci U S A | |
| dc.relation.isversionof | 10.1073/pnas.1506264112 | |
| dc.subject | aging | |
| dc.subject | biological aging | |
| dc.subject | cognitive aging | |
| dc.subject | geroscience | |
| dc.subject | healthspan | |
| dc.subject | Adult | |
| dc.subject | Aging | |
| dc.subject | Biomarkers | |
| dc.subject | Cognition | |
| dc.subject | Cross-Sectional Studies | |
| dc.subject | Humans | |
| dc.subject | Life Expectancy | |
| dc.subject | Longitudinal Studies | |
| dc.subject | Middle Aged | |
| dc.subject | Regression Analysis | |
| dc.subject | Time Factors | |
| dc.title | Quantification of biological aging in young adults. | |
| dc.type | Journal article | |
| duke.contributor.orcid | Belsky, Daniel W|0000-0001-5463-2212 | |
| duke.contributor.orcid | Caspi, Avshalom|0000-0003-0082-4600 | |
| duke.contributor.orcid | Moffitt, Terrie E|0000-0002-8589-6760 | |
| pubs.author-url | ||
| pubs.begin-page | E4104 | |
| pubs.end-page | E4110 | |
| pubs.issue | 30 | |
| pubs.organisational-group | Center for Child and Family Policy | |
| pubs.organisational-group | Center for Population Health & Aging | |
| pubs.organisational-group | Center for the Study of Aging and Human Development | |
| pubs.organisational-group | Clinical Science Departments | |
| pubs.organisational-group | Duke | |
| pubs.organisational-group | Duke Cancer Institute | |
| pubs.organisational-group | Duke Institute for Brain Sciences | |
| pubs.organisational-group | Duke Population Research Center | |
| pubs.organisational-group | Duke Population Research Institute | |
| pubs.organisational-group | Institutes and Centers | |
| pubs.organisational-group | Institutes and Provost's Academic Units | |
| pubs.organisational-group | Medicine | |
| pubs.organisational-group | Medicine, Geriatrics | |
| pubs.organisational-group | Psychiatry, Child & Family Mental Health and Developmental Neuroscience | |
| pubs.organisational-group | Psychiatry & Behavioral Sciences | |
| pubs.organisational-group | Psychology and Neuroscience | |
| pubs.organisational-group | Sanford School of Public Policy | |
| pubs.organisational-group | Sanford School of Public Policy - Secondary Group | |
| pubs.organisational-group | School of Medicine | |
| pubs.organisational-group | Social Science Research Institute | |
| pubs.organisational-group | Student | |
| pubs.organisational-group | Trinity College of Arts & Sciences | |
| pubs.organisational-group | University Institutes and Centers | |
| pubs.publication-status | Published | |
| pubs.volume | 112 |
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