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Banking on a new understanding: translational opportunities from veterinary biobanks

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Abstract

Current advances in geroscience are due in part to the discovery of biomarkers with high predictive ability in short-lived laboratory animals such as flies and mice. These model species, however, do not always adequately reflect human physiology and disease, highlighting the need for a more comprehensive and relevant model of human aging. Domestic dogs offer a solution to this obstacle, as they share many aspects not only of the physiological and pathological trajectories of their human counterpart, but also of their environment. Furthermore, they age at a considerably faster rate. Studying aging in the companion dog provides an opportunity to better understand the biological and environmental determinants of healthy lifespan in our pets, and to translate those findings to human aging. Biobanking, the systematic collection, processing, storage, and distribution of biological material and associated data has contributed to basic, clinical, and translational research by streamlining the management of high-quality biospecimens for biomarker discovery and validation. In this review, we discuss how veterinary biobanks can support research on aging, particularly when integrated into large-scale longitudinal studies. As an example of this concept, we introduce the Dog Aging Project Biobank.

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Data Availability

The Dog Aging Project is an open data project. These data are available to the general public at dogagingproject.org/open_data_access.

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Acknowledgements

The Dog Aging Project is supported by U19 grant AG057377 from the National Institute on Aging, part of the National Institutes of Health, and by private donations. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. The Dog Aging Project thanks study participants, their dogs, and community veterinarians for their important contributions.

Dog Aging Project Consortium (as of February 2022)

Joshua M. Akey1, Brooke Benton2, Elhanan Borenstein3,4,5, Marta G. Castelhano6,7, Amanda E. Coleman8, Kate E. Creevy9, Kyle Crowder10,11, Matthew D. Dunbar11, Virginia R. Fajt12, Annette L. Fitzpatrick13,14,15, Unity Jeffery16, Erica C Jonlin2, 17, Matt Kaeberlein2, Elinor K. Karlsson18,19, Kathleen F. Kerr20, Jonathan M. Levine9, Jing Ma21, Robyn L McClelland20, Daniel E.L. Promislow2,22, Audrey Ruple23, Stephen M. Schwartz24,14, Sandi Shrager25, Noah Snyder-Mackler26,27,28, M. Katherine Tolbert9, Silvan R. Urfer2, Benjamin S. Wilfond29,30

1Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA

2Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA, USA

3Department of Clinical Microbiology and Immunology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel

4Blavatnik School of Computer Science, Tel Aviv University, Tel Aviv, Israel.

5Santa Fe Institute, Santa Fe, NM, USA

6Cornell Veterinary Biobank, College of Veterinary Medicine, Cornell University, Ithaca, NY, USA

7Department of Clinical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY, USA

8Department of Small Animal Medicine and Surgery, College of Veterinary Medicine, University of Georgia, Athens, GA, USA

9Department of Small Animal Clinical Sciences, Texas A&M University College of Veterinary Medicine & Biomedical Sciences, College Station, TX, USA

10Department of Sociology, University of Washington, Seattle, WA, USA

11Center for Studies in Demography and Ecology, University of Washington, Seattle, WA, USA

12Department of Veterinary Physiology and Pharmacology, Texas A&M University College of Veterinary Medicine & Biomedical Sciences, College Station, TX, USA

13Department of Family Medicine, University of Washington, Seattle, WA, USA

14Department of Epidemiology, University of Washington, Seattle, WA, USA

15Department of Global Health, University of Washington, Seattle, WA, USA

16Department of Veterinary Pathobiology, Texas A&M University College of Veterinary Medicine & Biomedical Sciences, College Station, TX, USA

17Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA, USA

18Bioinformatics and Integrative Biology, University of Massachusetts Chan Medical School, Worcester, MA, USA

19Broad Institute of MIT and Harvard, Cambridge, MA, USA

20Department of Biostatistics, University of Washington, Seattle, WA, USA

21Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA

22Department of Biology, University of Washington, Seattle, WA, USA

23Department of Population Health Sciences, Virginia-Maryland College of Veterinary Medicine, Virginia Tech, Blacksburg, VA, USA

24Epidemiology Program, Fred Hutchinson Cancer Research Center, Seattle, WA, USA

25Collaborative Health Studies Coordinating Center, Department of Biostatistics, University of Washington, Seattle, WA, USA

26School of Life Sciences, Arizona State University, Tempe, AZ, USA

27Center for Evolution and Medicine, Arizona State University, Tempe, AZ, USA

28School for Human Evolution and Social Change, Arizona State University, Tempe, AZ, USA

29Treuman Katz Center for Pediatric Bioethics, Seattle Children's Research Institute, Seattle, WA, USA

30Department of Pediatrics, Division of Bioethics and Palliative Care, University of Washington School of Medicine, Seattle, WA, USA

Author information

Author notes

  1. D. LaLonde-Paul and L. Mouttham contributed equally to this work.

Authors and Affiliations

  1. Cornell Veterinary Biobank, College of Veterinary Medicine, Cornell University, Ithaca, NY, USA

    D. LaLonde-Paul, L. Mouttham & M. G. Castelhano

  2. Department of Clinical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY, USA

    L. Mouttham & M. G. Castelhano

  3. Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA, USA

    D. E. L. Promislow

  4. Department of Biology, University of Washington, Seattle, WA, USA

    D. E. L. Promislow

Authors
  1. D. LaLonde-Paul
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  2. L. Mouttham
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  3. D. E. L. Promislow
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  4. M. G. Castelhano
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Consortia

Dog Aging Project Consortium

  • Joshua M. Akey
  • , Brooke Benton
  • , Elhanan Borenstein
  • , Amanda E. Coleman
  • , Kate E. Creevy
  • , Kyle Crowder
  • , Matthew D. Dunbar
  • , Virginia R. Fajt
  • , Annette L. Fitzpatrick
  • , Unity Jeffery
  • , Erica C. Jonlin
  • , Matt Kaeberlein
  • , Elinor K. Karlsson
  • , Kathleen F. Kerr
  • , Jonathan M. Levine
  • , Jing Ma
  • , Robyn L. McClelland
  • , Audrey Ruple
  • , Stephen M. Schwartz
  • , Sandi Shrager
  • , Noah Snyder-Mackler
  • , M. Katherine Tolbert
  • , Silvan R. Urfer
  •  & Benjamin S. Wilfond

Corresponding author

Correspondence to M. G. Castelhano.

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LaLonde-Paul, D., Mouttham, L., Dog Aging Project Consortium. et al. Banking on a new understanding: translational opportunities from veterinary biobanks. GeroScience 45, 1439–1450 (2023). https://doi.org/10.1007/s11357-023-00763-z

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