Literature DB >> 3197782

Biomarkers of aging: tissue markers. Future research needs, strategies, directions and priorities.

D E Harrison1, J R Archer.   

Abstract

Objective tests that allow early detection of deleterious changes with age are necessary to develop treatments enhancing the health span--the length of healthy life. Here we report tests of eight biological systems that can be performed in mice with no harm to the subjects. Male and female B6, CBA and F1 mice were used. While most test results correlated with chronological age in most genotypes, none predicted subsequent longevities in more than two genotypes. Surprisingly, the open field activity test that most consistently predicted longevities, did not correlate with chronological age. Six tests predicted beneficial effects of food restriction in F1 males, but only one correctly predicted the deleterious effects of the same food restriction regimen in B6 males. These results suggest that different biological systems age at different rates, that rates are affected by genotype and that an anti-aging treatment beneficial in one genotype may be harmful in another.

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Year:  1988        PMID: 3197782     DOI: 10.1016/0531-5565(88)90034-4

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


  11 in total

1.  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

2.  Beyond the rodent model: Calorie restriction in rhesus monkeys.

Authors:  M A Lane; D K Ingram; G S Roth
Journal:  Age (Omaha)       Date:  1997-01

Review 3.  Adipocytes in skin health and disease.

Authors:  Guillermo Rivera-Gonzalez; Brett Shook; Valerie Horsley
Journal:  Cold Spring Harb Perspect Med       Date:  2014-03-01       Impact factor: 6.915

4.  Caspase-2 deficiency enhances aging-related traits in mice.

Authors:  Yingpei Zhang; Susan S Padalecki; Asish R Chaudhuri; Eric De Waal; Beth A Goins; Barry Grubbs; Yuji Ikeno; Arlan Richardson; Gregory R Mundy; Brian Herman
Journal:  Mech Ageing Dev       Date:  2006-12-22       Impact factor: 5.432

5.  Early aging and age-related pathologies in mice deficient in BMAL1, the core componentof the circadian clock.

Authors:  Roman V Kondratov; Anna A Kondratova; Victoria Y Gorbacheva; Olena V Vykhovanets; Marina P Antoch
Journal:  Genes Dev       Date:  2006-07-15       Impact factor: 11.361

6.  β-Catenin Signaling Evokes Hair Follicle Senescence by Accelerating the Differentiation of Hair Follicle Mesenchymal Progenitors.

Authors:  Jimin Han; Kaijun Lin; Huiqin Choo; Jia He; Xusheng Wang; Yaojiong Wu; Xiaodong Chen
Journal:  Front Cell Dev Biol       Date:  2022-04-04

7.  Age-related behaviors have distinct transcriptional profiles in Caenorhabditis elegans.

Authors:  Tamara R Golden; Alan Hubbard; Caroline Dando; Michael A Herren; Simon Melov
Journal:  Aging Cell       Date:  2008-12       Impact factor: 9.304

8.  Timing of expression of the core clock gene Bmal1 influences its effects on aging and survival.

Authors:  Guangrui Yang; Lihong Chen; Gregory R Grant; Georgios Paschos; Wen-Liang Song; Erik S Musiek; Vivian Lee; Sarah C McLoughlin; Tilo Grosser; George Cotsarelis; Garret A FitzGerald
Journal:  Sci Transl Med       Date:  2016-02-03       Impact factor: 17.956

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.  The tissue dependent interactions between p53 and Bcl-2 in vivo.

Authors:  Xin Li; Xiao Miao; Hongshen Wang; Zhixiang Xu; Bin Li
Journal:  Oncotarget       Date:  2015-11-03
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