The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Telomere length behaves as biomarker of somatic redundancy rather than biological age
Abstract
Summary: Biomarkers of aging are essential to predict mortality and aging‐related diseases. Paradoxically, age itself imposes a limitation on the use of known biomarkers of aging because their associations with mortality generally diminish with age. How this pattern arises is, however, not understood. With meta‐analysis we show that human leucocyte telomere length (TL) predicts mortality, and that this mortality association diminishes with age, as found for other biomarkers of aging. Subsequently, we demonstrate with simulation models that this observation cannot be reconciled with the popular hypothesis that TL is proportional to biological age. Using the reliability theory of aging, we instead propose that TL is a biomarker of somatic redundancy, the body's capacity to absorb damage, which fits the observed pattern well. We discuss to what extent diminishing redundancy with age may also explain the observed diminishing mortality modulation with age of other biomarkers of aging. Considering diminishing somatic redundancy as the causal agent of aging may critically advance our understanding of the aging process, and improve predictions of life expectancy and vulnerability to aging‐related diseases.
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In humans, recent meta-analyses have indicated a strong relation between short telomeres and mortality risk, particularly at younger ages.
“In humans, recent meta-analyses have indicated a strong relation between short telomeres and mortality risk, particularly at younger ages (Boonekamp et al., 2013).”
From The Hallmarks of Aging (2013) · cites this paper as Boonekamp et al., 2013
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Telomere length and risk of incident cancer and cancer mortality
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Metadata
- Authors
- Boonekamp, J. J., Simons, M. J. P., Hemerik, L., & Verhulst, S.
- Affiliations
- Behavioural Biology University of Groningen Groningen the Netherlands
- Biometris Department of Mathematical and Statistical Methods Wageningen University Wageningen the Netherlands
- Venue
- Aging Cell
- Publisher
- Wiley
- Published
- 2013-02-22
- Volume
- 12
- Issue
- 2
- Pages
- 330-332
- ISSN
- 1474-9718
- 1474-9726
- Cited by
- 200
- References
- 4
- Language
- en
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