Literature DB >> 3058488

Biomarkers of aging.

G T Baker1, R L Sprott.   

Abstract

This article presents a conceptual discussion of some aspects involved in biomarkers of aging. A biomarker of aging is a biological parameter of an organism that either alone or in some multivariate composite will, in the absence of disease, better predict functional capability at some late age than will chronological age. The reasons for undertaking biomarker research, criteria for putative biomarkers, measurement and assessment of putative biomarkers, and the new initiative by the National Institute on Aging in biomarker research are discussed.

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Year:  1988        PMID： 3058488     DOI： 10.1016/0531-5565(88)90025-3

Source DB:  PubMed          Journal:  Exp Gerontol        ISSN： 0531-5565            Impact factor:   4.032


  100 in total

1.  Supine behaviour predicts the time to death in male Mediterranean fruitflies (Ceratitis capitata).

Authors:  Nikos T Papadopoulos; James R Carey; Byron I Katsoyannos; Nikos A Kouloussis; Hans-Georg Müller; Xueli Liu
Journal:  Proc Biol Sci       Date:  2002-08-22       Impact factor: 5.349

2.  Expression of a single-copy hsp-16.2 reporter predicts life span.

Authors:  Alexander R Mendenhall; Patricia M Tedesco; Larry D Taylor; Anita Lowe; James R Cypser; Thomas E Johnson
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2012-01-06       Impact factor: 6.053

3.  Tail tendon break time: a biomarker of aging?

Authors:  Lauren B Sloane; Joseph T Stout; Steven N Austad; Gerald E McClearn
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2010-11-08       Impact factor: 6.053

4.  Select aging biomarkers based on telomere length and chronological age to build a biological age equation.

Authors:  Wei-Guang Zhang; Shu-Ying Zhu; Xiao-Juan Bai; De-Long Zhao; Shi-Min Jian; Juan Li; Zuo-Xiang Li; Bo Fu; Guang-Yan Cai; Xue-Feng Sun; Xiang-Mei Chen
Journal:  Age (Dordr)       Date:  2014-06

5.  Model Construction for Biological Age Based on a Cross-Sectional Study of a Healthy Chinese Han population.

Authors:  W Zhang; L Jia; G Cai; F Shao; H Lin; Z Liu; F Liu; D Zhao; Z Li; X Bai; Z Feng; X Sun; X Chen
Journal:  J Nutr Health Aging       Date:  2017       Impact factor: 4.075

6.  Trajectories of function and biomarkers with age: the CHS All Stars Study.

Authors:  Anne B Newman; Jason L Sanders; Jorge R Kizer; Robert M Boudreau; Michelle C Odden; Adina Zeki Al Hazzouri; Alice M Arnold
Journal:  Int J Epidemiol       Date:  2016-06-06       Impact factor: 7.196

7.  Effects of habitual physical exercise on physiological age in men aged 20-85 years as estimated using principal component analysis.

Authors:  E Nakamura; T Moritani; A Kanetaka
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1996

8.  Telomere length and replicative aging in human vascular tissues.

Authors:  E Chang; C B Harley
Journal:  Proc Natl Acad Sci U S A       Date:  1995-11-21       Impact factor: 11.205

9.  Inactivation of RAD52 and HDF1 DNA repair genes leads to premature chronological aging and cellular instability.

Authors:  Silvia Mercado-Saenz; Beatriz Lopez-Diaz; Francisco Sendra-Portero; Manuel Martinez-Morillo; Miguel J Ruiz-Gomez
Journal:  J Biosci       Date:  2017-06       Impact factor: 1.826

10.  N-terminal propeptide of type III procollagen as a biomarker of anabolic response to recombinant human GH and testosterone.

Authors:  Shalender Bhasin; E Jiaxiu He; Miwa Kawakubo; E Todd Schroeder; Kevin Yarasheski; Gregory J Opiteck; Alise Reicin; Fabian Chen; Raymond Lam; Jeffrey A Tsou; Carmen Castaneda-Sceppa; Ellen F Binder; Stanley P Azen; Fred R Sattler
Journal:  J Clin Endocrinol Metab       Date:  2009-10-16       Impact factor: 5.958
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