A new approach to the concept and computation of biological age

Klemera, Petr; Ďoubal, Stanislav

doi:10.1016/j.mad.2005.10.004

Cited by 428 publications

(363 citation statements)

References 24 publications

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“…but findings are mixed (19)(20)(21)(22). Multibiomarker algorithms have been suggested as a more reliable alternative to single-marker aging indicators (23)(24)(25). A promising algorithm is the 10-biomarker US National Health and Nutrition Survey (NHANES)-based measure of "Biological Age."…”

Section: Significancementioning

confidence: 99%

Quantification of biological aging in young adults

Belsky

Caspi

Houts

et al. 2015

Proc. Natl. Acad. Sci. U.S.A.

776

633

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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, selfreported worse health, and looked older. Measured biological aging in young adults can be used to identify causes of aging and evaluate rejuvenation therapies.biological aging | cognitive aging | aging | healthspan | geroscience B y 2050, the world population aged 80 y and above will more than triple, approaching 400 million individuals (1, 2). As the population ages, the global burden of disease and disability is rising (3). From the fifth decade of life, advancing age is associated with an exponential increase in burden from many different chronic conditions (Fig. 1). The most effective means to reduce disease burden and control costs is to delay this progression by extending healthspan, years of life lived free of disease and disability (4). A key to extending healthspan is addressing the problem of aging itself (5-8).At present, much research on aging is being carried out with animals and older humans. Paradoxically, these seemingly sensible strategies pose translational difficulties. The difficulty with studying aging in old humans is that many of them already have age-related diseases (9-11). Age-related changes to physiology accumulate from early life, affecting organ systems years before disease diagnosis (12-15). Thus, intervention to reverse or delay the march toward age-related diseases must be scheduled while people are still young (16). Early interventions to slow aging can be tested in model organisms (17,18). The difficulty with these nonhuman models is that they do not typically capture the complex multifactorial risks and exposures that shape human aging. Moreover, whereas animals' brief lives make it feasible to study animal aging in the laboratory, humans' lives span many years. A solution is to study human aging in the first half of ...

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Section: Significancementioning

confidence: 99%

Quantification of biological aging in young adults

Belsky

Caspi

Houts

et al. 2015

Proc. Natl. Acad. Sci. U.S.A.

776

633

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“…Telomere length correlates with longevity and is negatively impacted by cellular stress [16,17]. The refinement of statistical calculation of the latent variable "biological age" and its precise constituent biomarkers [18], including parceling out biases introduced by specific diseases [19], awaits further study.…”

Section: "Intermediate" Phenotypes Of Successful Agingmentioning

confidence: 99%

Recent advances in research on successful or healthy aging

Depp

Glatt²,

Jeste³

2007

Curr Psychiatry Rep

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This article reports a selective review of biopsychosocial research on successful or healthy aging published in 2005 and 2006. We describe a number of studies that advance the understanding of the definitions, predictors, mechanisms, and potential interventions for successful aging. Successful aging is a multidimensional construct that awaits a standardized definition. A broad array of phenotypes beyond longevity has been examined, including neurocognition, subjective quality of life, and biological age. Considerable progress has been made toward understanding possible mechanisms of successful aging through translational research. Interventions to augment healthy lifestyles have great potential to enhance global healthy aging.

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“…Second, there should be no redundancy. Klemera and Doubal [15] recently reviewed the theoretical issue of the various definitions of BA and found that CA was typically a more precise estimate of BA than other estimates computed by multiple linear regressions. They suggested that CA should be included as a standard biomarker to improve BA estimate.…”

Section: Discussionmentioning

confidence: 99%

Evaluation of Biological Aging Process – A Population-Based Study of Healthy People in China

et al. 2009

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Background: Although there have been cross-sectional and longitudinal studies examining biological age (BA) with chronological age (CA)-related changes in physical, physiological, biochemical, and hormonal variables, few studies have performed echocardiographic evaluation of the cardiovascular system and inflammatory biomarkers. Furthermore, little is known about biomarkers of aging and BA score (BAS) for healthy people in China. Objectives: The purpose of this study was to identify the biomarkers of healthy aging and to establish BAS for healthy people in China. Methods: We examined 2,876 men and women aged 30–98 years old in three Chinese cities, and 852 healthy subjects were assessed with 108 physical, morphological, physiological and biochemical variables. After excluding binary variables, variables that had a correlation coefficient with CA of ≤0.25 and redundant variables, eight variables including CA, arterial pulse pressure (PP), intima-media thickness (IMT), end diastolic velocity (EDV), ratio of peak velocity of early filling to atrial filling (E/A), mitral valve annulus lateral wall of peak velocity of early filling (MVEL), cystatin C (CYSC), and fibrinogen (FIB) were selected as candidate biomarkers of aging based on a factor-weighted BAS composite for predicting BA. Results: The BAS equation was 0.248 (CA) + 0.195 (IMT) – 0.196 (EDV) – 0.167 (E/A) – 0.166 (MVEL) + 0.188 (PP) + 0.182 (FIB) + 0.193 (CYSC). Individual BAS were significantly correlated with CA (r = 0.893, p < 0.001). Biological aging rate predicted by BAS was accelerated with increases in CA, and peaked when healthy men and women reached ≧75 years of age. Conclusions: Our data suggest that BAS is superior to CA in assessing the rate of aging in healthy Chinese people. The cardiovascular variables play a crucial role in the evaluation of biological aging. Biological aging rate appears to be age specific.

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A new approach to the concept and computation of biological age

Cited by 428 publications

References 24 publications

Quantification of biological aging in young adults

Quantification of biological aging in young adults

Recent advances in research on successful or healthy aging

Evaluation of Biological Aging Process – A Population-Based Study of Healthy People in China

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