Evidence map›Paper›PMID 34587118›Full record

ArticleAging2021

Development of infrastructure for a systemic multidisciplinary approach to study aging in retired sled dogs.

Daria I Fleyshman, Joseph J Wakshlag, Heather J Huson, John P Loftus, Natasha J Olby, Leonid Brodsky, Andrei V Gudkov, Ekaterina L Andrianova

Abstract read
In one paragraph

Article in Aging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
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  6. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Daria I FleyshmanVaika, Inc., East Aurora, NY 14052, USA.
Joseph J WakshlagCornell University College of Veterinary Medicine, Ithaca, NY 14853, USA.
Heather J HusonCornell University College of Agriculture and Life Sciences, Ithaca, NY 14853, USA.
John P LoftusCornell University College of Veterinary Medicine, Ithaca, NY 14853, USA.
Natasha J OlbyNorth Carolina State University College of Veterinary Medicine, Raleigh, NC 27606, USA.
Leonid BrodskyTauber Bioinformatic Research Center, University of Haifa, Haifa, Israel.
Andrei V GudkovVaika, Inc., East Aurora, NY 14052, USA.
Ekaterina L AndrianovaVaika, Inc., East Aurora, NY 14052, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Canines represent a valuable model for mammalian aging studies as large animals with short lifespans, allowing longitudinal analyses within a reasonable time frame. Moreover, they develop a spectrum of aging-related diseases resembling that of humans, are exposed to similar environments, and have been reasonably well studied in terms of physiology and genetics. To overcome substantial variables that complicate studies of privately-owned household dogs, we have focused on a more uniform population composed of retired Alaskan sled dogs that shared similar lifestyles, including exposure to natural stresses, and are less prone to breed-specific biases than a pure breed population. To reduce variability even further, we have collected a population of 103 retired (8-11 years-old) sled dogs from multiple North American kennels in a specialized research facility named Vaika. Vaika dogs are maintained under standardized conditions with professional veterinary care and participate in a multidisciplinary program to assess the longitudinal dynamics of aging. The established Vaika infrastructure enables periodic gathering of quantitative data reflecting physical, physiological, immunological, neurological, and cognitive decline, as well as monitoring of aging-associated genetic and epigenetic alterations occurring in somatic cells. In addition, we assess the development of age-related diseases such as arthritis and cancer. In-depth data analysis, including artificial intelligence-based approaches, will build a comprehensive, integrated model of canine aging and potentially identify aging biomarkers that will allow use of this model for future testing of antiaging therapies.

Indexed as

Disease Models, AnimalDogsAgingAnimalsArtificial IntelligenceCognitionGenomeHumansImmune SystemLongevitycaninefrailtyhealthspanlongevitysenescence

Identifiers

PMID34587118
PMCPMC8507265

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.