Literature DB >> 15215265

Biomarkers of aging: from primitive organisms to humans.

Robert N Butler1, Richard Sprott, Huber Warner, Jeffrey Bland, Richie Feuers, Michael Forster, Howard Fillit, S Mitchell Harman, Michael Hewitt, Mark Hyman, Kathleen Johnson, Evan Kligman, Gerald McClearn, James Nelson, Arlan Richardson, William Sonntag, Richard Weindruch, Norman Wolf.   

Abstract

Leading biologists and clinicians interested in aging convened to discuss biomarkers of aging. The goals were to come to a consensus, construct an agenda for future research, and make appropriate recommendations to policy makers and the public-at-large. While there was not total agreement on all issues, they addressed a number of questions, among them whether biomarkers can be identified and used to measure the physiological age of any individual within a population, given emerging information about aging and new technological advances. The hurdles to establishing informative biomarkers include the biological variation between individuals that makes generalizations difficult; the overlapping of aging and disease processes; uncertainty regarding benign versus pathogenic age-related changes; the point at which a process begins to do damage to the organism, and, if so, when does it occur; and when to distinguish critical damage from noncritical damage. Finally, and significantly, it is difficult to obtain funding for this research.

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Year:  2004        PMID: 15215265     DOI: 10.1093/gerona/59.6.b560

Source DB:  PubMed          Journal:  J Gerontol A Biol Sci Med Sci        ISSN: 1079-5006            Impact factor:   6.053


  57 in total

1.  Age-related cellular changes in the long-lived bivalve A. islandica.

Authors:  Heike Gruber; Wiebke Wessels; Primrose Boynton; Jinze Xu; Stephanie Wohlgemuth; Christiaan Leeuwenburgh; Wenbo Qi; Steven N Austad; Ralf Schaible; Eva E R Philipp
Journal:  Age (Dordr)       Date:  2015-08-29

2.  Biobehavioral Measures of Presbylaryngeus.

Authors:  Vrushali Angadi; Colleen McMullen; Richard Andreatta; Maria Dietrich; Tim Uhl; Joseph Stemple
Journal:  J Voice       Date:  2018-11-30       Impact factor: 2.009

Review 3.  Systems biology of aging in four species.

Authors:  Jacob M Zahn; Stuart K Kim
Journal:  Curr Opin Biotechnol       Date:  2007-08-02       Impact factor: 9.740

4.  Stem Cells in Aging: Influence of Ontogenic, Genetic and Environmental Factors.

Authors:  Edmond J Yunis; Joaquin Zúñiga; Prasad S Koka; Zaheed Husain; Viviana Romero; Joel N H Stern; Masha Fridkis-Hareli
Journal:  J Stem Cells       Date:  2006

Review 5.  Biomarkers related to aging in human populations.

Authors:  Eileen Crimmins; Sarinnapha Vasunilashorn; Jung Ki Kim; Dawn Alley
Journal:  Adv Clin Chem       Date:  2008       Impact factor: 5.394

6.  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

7.  Biomarker Validation for Aging: Lessons from mtDNA Heteroplasmy Analyses in Early Cancer Detection.

Authors:  Peter E Barker; Mahadev Murthy
Journal:  Biomark Insights       Date:  2009-11-27

8.  Construction of an integral formula of biological age for a healthy Chinese population using principle component analysis.

Authors:  W-G Zhang; X-J Bai; X-F Sun; G-Y Cai; X-Y Bai; S-Y Zhu; M Zhang; X-M Chen
Journal:  J Nutr Health Aging       Date:  2014       Impact factor: 4.075

9.  How long will my mouse live? Machine learning approaches for prediction of mouse life span.

Authors:  William R Swindell; James M Harper; Richard A Miller
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2008-09       Impact factor: 6.053

10.  Genes and gene expression modules associated with caloric restriction and aging in the laboratory mouse.

Authors:  William R Swindell
Journal:  BMC Genomics       Date:  2009-12-07       Impact factor: 3.969

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