Literature DB >> 28329081

A New Preclinical Paradigm for Testing Anti-Aging Therapeutics.

Warren Ladiges1,2, Jessica M Snyder1, Erby Wilkinson3, Denise M Imai4, Tim Snider5, Xuan Ge1, Marcia Ciol6, Christina Pettan-Brewer1, Smitha P S Pillai7, John Morton1, Ellen Quarles2, Peter Rabinovitch2, Laura Niedernhofer8, Denny Liggitt1.   

Abstract

Testing drugs for anti-aging effects has historically been conducted in mouse life-span studies, but are costly and time consuming, and more importantly, difficult to recapitulate in humans. In addition, life-span studies in mice are not well suited to testing drug combinations that target multiple factors involved in aging. Additional paradigms for testing therapeutics aimed at slowing aging are needed. A new paradigm, designated as the Geropathology Grading Platform (GGP), is based on a standardized set of guidelines developed to detect the presence or absence of low-impact histopathological lesions and to determine the level of severity of high-impact lesions in organs from aged mice. The GGP generates a numerical score for each age-related lesion in an organ, summed for total lesions, and averaged over multiple mice to obtain a composite lesion score (CLS). Preliminary studies show that the platform generates CLSs that increase with the age of mice in an organ-dependent manner. The CLSs are sensitive enough to detect changes elicited by interventions that extend mouse life span, and thus help validate the GGP as a novel tool to measure biological aging. While currently optimized for mice, the GGP could be adapted to any preclinical animal model.
© The Author 2017. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  Aging; Aging lesions in mice; Anti-aging therapeutics; Geropathology Grading Platform; Preclinical drug testing

Mesh:

Year:  2017        PMID: 28329081      PMCID: PMC6075196          DOI: 10.1093/gerona/glx019

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


  6 in total

1.  The Geropathology Research Network: An Interdisciplinary Approach for Integrating Pathology Into Research on Aging.

Authors:  Warren Ladiges; Yuji Ikeno; Laura Niedernhofer; Richard A McIndoe; Marcia A Ciol; Jerry Ritchey; Denny Liggitt
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2015-08-04       Impact factor: 6.053

2.  Reduction of age-associated pathology in old mice by overexpression of catalase in mitochondria.

Authors:  Piper M Treuting; Nancy J Linford; Sue E Knoblaugh; M J Emond; John F Morton; George M Martin; Peter S Rabinovitch; Warren C Ladiges
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2008-08       Impact factor: 6.053

Review 3.  Molecular pathology endpoints useful for aging studies.

Authors:  L J Niedernhofer; J L Kirkland; W Ladiges
Journal:  Ageing Res Rev       Date:  2016-10-06       Impact factor: 10.895

4.  Pathology assessment is necessary to validate translational endpoints in preclinical aging studies.

Authors:  Warren Ladiges
Journal:  Pathobiol Aging Age Relat Dis       Date:  2016-03-23

5.  Pathology is a critical aspect of preclinical aging studies.

Authors:  Warren Ladiges; Yuji Ikeno; Denny Liggitt; Piper M Treuting
Journal:  Pathobiol Aging Age Relat Dis       Date:  2013-08-20

6.  Grip strength is potentially an early indicator of age-related decline in mice.

Authors:  Xuan Ge; Anthony Cho; Marcia A Ciol; Christina Pettan-Brewer; Jessica Snyder; Peter Rabinovitch; Warren Ladiges
Journal:  Pathobiol Aging Age Relat Dis       Date:  2016-09-08
  6 in total
  18 in total

1.  Translational Geroscience: From invertebrate models to companion animal and human interventions.

Authors:  Mitchell B Lee; Matt Kaeberlein
Journal:  Transl Med Aging       Date:  2018-08-17

2.  Einstein-Nathan Shock Center: translating the hallmarks of aging to extend human health span.

Authors:  Ana Maria Cuervo; Derek M Huffman; Jan Vijg; Sofiya Milman; Rajat Singh; Nir Barzilai
Journal:  Geroscience       Date:  2021-08-31       Impact factor: 7.713

3.  Pharmaceutical interventions to slow human aging. Are we ready for cocktails?

Authors:  Manuela Rosenfeld; Warren Ladiges
Journal:  Aging Pathobiol Ther       Date:  2022-06-30

4.  Heterochronic parabiosis regulates the extent of cellular senescence in multiple tissues.

Authors:  Matthew J Yousefzadeh; John E Wilkinson; Brian Hughes; Namrata Gadela; Warren C Ladiges; Nam Vo; Laura J Niedernhofer; Derek M Huffman; Paul D Robbins
Journal:  Geroscience       Date:  2020-04-13       Impact factor: 7.713

5.  Oklahoma Nathan Shock Aging Center - assessing the basic biology of aging from genetics to protein and function.

Authors:  Holly Van Remmen; Willard M Freeman; Benjamin F Miller; Michael Kinter; Jonathan D Wren; Ann Chiao; Rheal A Towner; Timothy A Snider; William E Sonntag; Arlan Richardson
Journal:  Geroscience       Date:  2021-10-04       Impact factor: 7.713

6.  Testing drug combinations to slow aging.

Authors:  Warren Ladiges; Denny Liggitt
Journal:  Pathobiol Aging Age Relat Dis       Date:  2017-11-23

Review 7.  The potential use of physical resilience to predict healthy aging.

Authors:  Anna Schorr; Christy Carter; Warren Ladiges
Journal:  Pathobiol Aging Age Relat Dis       Date:  2017-11-21

8.  Circulating levels of monocyte chemoattractant protein-1 as a potential measure of biological age in mice and frailty in humans.

Authors:  Matthew J Yousefzadeh; Marissa J Schafer; Nicole Noren Hooten; Elizabeth J Atkinson; Michele K Evans; Darren J Baker; Ellen K Quarles; Paul D Robbins; Warren C Ladiges; Nathan K LeBrasseur; Laura J Niedernhofer
Journal:  Aging Cell       Date:  2017-12-31       Impact factor: 9.304

9.  Modeling Alzheimer's disease in progeria mice. An age-related concept.

Authors:  Kavita Sharma; Martin Darvas; C Dirk Keene; Laura J Niedernhofer; Warren Ladiges
Journal:  Pathobiol Aging Age Relat Dis       Date:  2018-10-04

10.  Measuring biological age in mice using differential mass spectrometry.

Authors:  Harris Bell-Temin; Matthew J Yousefzadeh; Andrey Bondarenko; Ellen Quarles; Jacqueline Jones-Laughner; Paul D Robbins; Warren Ladiges; Laura J Niedernhofer; Nathan A Yates
Journal:  Aging (Albany NY)       Date:  2019-02-11       Impact factor: 5.682

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