Literature DB >> 33211821

Study of Longitudinal Aging in Mice: Presentation of Experimental Techniques.

Dushani L Palliyaguru1, Camila Vieira Ligo Teixeira1, Eleonora Duregon1, Clara di Germanio1,2, Irene Alfaras1,3, Sarah J Mitchell1,4, Ignacio Navas-Enamorado1,5, Eric J Shiroma6, Stephanie Studenski1, Michel Bernier1, Simonetta Camandola1, Nathan L Price7, Luigi Ferrucci1, Rafael de Cabo1.   

Abstract

Aging is associated with functional and metabolic decline and is a risk factor for all noncommunicable diseases. Even though mice are routinely used for modeling human aging and aging-related conditions, no comprehensive assessment to date has been conducted on normative mouse aging. To address this gap, the Study of Longitudinal Aging in Mice (SLAM) was designed and implemented by the National Institute on Aging (NIA/NIH) as the mouse counterpart to the Baltimore Longitudinal Study of Aging (BLSA). In this manuscript, we describe the premise, study design, methodologies, and technologies currently employed in SLAM. We also discuss current and future study directions. In this large population mouse study, inbred C57BL/6J and outbred UM-HET3 mice of both sexes are longitudinally evaluated for functional, phenotypic, and biological health, and collection of biospecimens is conducted throughout their life span. Within the longitudinal cohorts, a cross-sectional arm of the study has also been implemented for the well-controlled collection of tissues to generate a biorepository. SLAM and studies stemming from SLAM seek to identify and characterize phenotypic and biological predictors of mouse aging and age-associated conditions, examine the degrees of functional and biomolecular variability that occur within inbred and genetically heterogeneous mouse populations with age, and assess whether these changes are consistent with alterations observed in human aging in BLSA. The findings from these studies will be critical for evaluating the utility of mouse models for studying different aspects of aging, both in terms of interpreting prior findings and designing and implementing future studies. Published by Oxford University Press on behalf of The Gerontological Society of America 2020.

Entities:  

Keywords:  Aging; Biomarkers; Longitudinal; Mice; Preclinical

Mesh:

Substances:

Year:  2021        PMID: 33211821      PMCID: PMC8011709          DOI: 10.1093/gerona/glaa285

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


  74 in total

1.  Understanding Aging.

Authors:  Manuel Serrano
Journal:  N Engl J Med       Date:  2017-03-16       Impact factor: 91.245

Review 2.  The road ahead for health and lifespan interventions.

Authors:  Marta Gonzalez-Freire; Alberto Diaz-Ruiz; David Hauser; Jorge Martinez-Romero; Luigi Ferrucci; Michel Bernier; Rafael de Cabo
Journal:  Ageing Res Rev       Date:  2020-02-25       Impact factor: 10.895

3.  Factors predicting individual variability in diet-induced weight loss in MF1 mice.

Authors:  Lobke M Vaanholt; Victoria Magee; John R Speakman
Journal:  Obesity (Silver Spring)       Date:  2011-10-13       Impact factor: 5.002

4.  Of Aging Mice and Men: Gait Speed Decline Is a Translatable Trait, With Species-Specific Underlying Properties.

Authors:  Woei-Nan Bair; Michael Petr; Irene Alfaras; Sarah J Mitchell; Michel Bernier; Luigi Ferrucci; Stephanie A Studenski; Rafael De Cabo
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2019-08-16       Impact factor: 6.053

Review 5.  Human aging: usual and successful.

Authors:  J W Rowe; R L Kahn
Journal:  Science       Date:  1987-07-10       Impact factor: 47.728

Review 6.  Sex Differences in Lifespan.

Authors:  Steven N Austad; Kathleen E Fischer
Journal:  Cell Metab       Date:  2016-06-14       Impact factor: 27.287

7.  Sex-specific gait patterns of older adults with knee osteoarthritis: results from the Baltimore longitudinal study of aging.

Authors:  Seung-Uk Ko; Eleanor M Simonsick; Liz M Husson; Luigi Ferrucci
Journal:  Curr Gerontol Geriatr Res       Date:  2011-05-09

8.  Evaluating Health Span in Preclinical Models of Aging and Disease: Guidelines, Challenges, and Opportunities for Geroscience.

Authors:  Derek M Huffman; Jamie N Justice; Michael B Stout; James L Kirkland; Nir Barzilai; Steven N Austad
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2016-08-16       Impact factor: 6.053

9.  Inflammation markers are associated with frailty in elderly patients with coronary heart disease.

Authors:  Ping Hou; Hui-Ping Xue; Xin-E Mao; Yong-Nan Li; Lin-Feng Wu; Yong-Bing Liu
Journal:  Aging (Albany NY)       Date:  2018-10-16       Impact factor: 5.682

10.  Rapamycin-mediated lifespan increase in mice is dose and sex dependent and metabolically distinct from dietary restriction.

Authors:  Richard A Miller; David E Harrison; Clinton M Astle; Elizabeth Fernandez; Kevin Flurkey; Melissa Han; Martin A Javors; Xinna Li; Nancy L Nadon; James F Nelson; Scott Pletcher; Adam B Salmon; Zelton Dave Sharp; Sabrina Van Roekel; Lynn Winkleman; Randy Strong
Journal:  Aging Cell       Date:  2014-02-09       Impact factor: 9.304

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  6 in total

1.  Age-dependent impact of two exercise training regimens on genomic and metabolic remodeling in skeletal muscle and liver of male mice.

Authors:  Michel Bernier; Ignacio Navas Enamorado; Mari Carmen Gómez-Cabrera; Sonia Cortassa; Miguel A Aon; Miguel Calvo-Rubio; Jose Antonio González-Reyes; Nathan L Price; Ana Belén Cortés-Rodríguez; Juan Carlos Rodríguez-Aguilera; Sandra Rodríguez-López; Sarah J Mitchell; Kelsey N Murt; Krystle Kalafut; Katrina M Williams; Christopher W Ward; Joseph P Stains; Gloria Brea-Calvo; Jose M Villalba; Rafael de Cabo
Journal:  NPJ Aging       Date:  2022-06-27

2.  PodoCount: A Robust, Fully Automated, Whole-Slide Podocyte Quantification Tool.

Authors:  Briana A Santo; Darshana Govind; Parnaz Daneshpajouhnejad; Xiaoping Yang; Xiaoxin X Wang; Komuraiah Myakala; Bryce A Jones; Moshe Levi; Jeffrey B Kopp; Teruhiko Yoshida; Laura J Niedernhofer; David Manthey; Kyung Chul Moon; Seung Seok Han; Jarcy Zee; Avi Z Rosenberg; Pinaki Sarder
Journal:  Kidney Int Rep       Date:  2022-06-03

3.  Fasting blood glucose as a predictor of mortality: Lost in translation.

Authors:  Dushani L Palliyaguru; Eric J Shiroma; John K Nam; Eleonora Duregon; Camila Vieira Ligo Teixeira; Nathan L Price; Michel Bernier; Simonetta Camandola; Kelli L Vaughan; Ricki J Colman; Andrew Deighan; Ron Korstanje; Luanne L Peters; Stephanie L Dickinson; Keisuke Ejima; Eleanor M Simonsick; Lenore J Launer; Chee W Chia; Josephine Egan; David B Allison; Gary A Churchill; Rozalyn M Anderson; Luigi Ferrucci; Julie A Mattison; Rafael de Cabo
Journal:  Cell Metab       Date:  2021-09-10       Impact factor: 31.373

4.  Diet composition influences the metabolic benefits of short cycles of very low caloric intake.

Authors:  Alberto Diaz-Ruiz; Tyler Rhinesmith; Laura C D Pomatto-Watson; Nathan L Price; Farzin Eshaghi; Margaux R Ehrlich; Jacqueline M Moats; Melissa Carpenter; Annamaria Rudderow; Sebastian Brandhorst; Julie A Mattison; Miguel A Aon; Michel Bernier; Valter D Longo; Rafael de Cabo
Journal:  Nat Commun       Date:  2021-11-09       Impact factor: 14.919

Review 5.  Advances in pig models of human diseases.

Authors:  Naipeng Hou; Xuguang Du; Sen Wu
Journal:  Animal Model Exp Med       Date:  2022-03-27

6.  A user-friendly tool for cloud-based whole slide image segmentation with examples from renal histopathology.

Authors:  Brendon Lutnick; David Manthey; Jan U Becker; Brandon Ginley; Katharina Moos; Jonathan E Zuckerman; Luis Rodrigues; Alexander J Gallan; Laura Barisoni; Charles E Alpers; Xiaoxin X Wang; Komuraiah Myakala; Bryce A Jones; Moshe Levi; Jeffrey B Kopp; Teruhiko Yoshida; Jarcy Zee; Seung Seok Han; Sanjay Jain; Avi Z Rosenberg; Kuang Yu Jen; Pinaki Sarder
Journal:  Commun Med (Lond)       Date:  2022-08-19
  6 in total

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