Kate Creevy

Dr. Kate Creevy

orcid

Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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2 February 2022 in Nature
Verified
Journal Article
Closed access
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KCKate Creevy
Kate Creevy
JAJoshua M. Akey
Joshua M. Akey
MKMatt Kaeberlein
Matt Kaeberlein
DPDaniel E. L. Promislow
Daniel E. L. Promislow

26 October 2021 in Annual Review of Animal Biosciences
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Journal Article
Closed access
ARAudrey Ruple
Audrey Ruple
EMEvan MacLean
Evan MacLean
NSNoah Snyder-Mackler
Noah Snyder-Mackler
KCKate Creevy
Kate Creevy
DPDaniel Promislow
Daniel Promislow
As the most phenotypically diverse mammalian species that shares human environments and access to sophisticated healthcare, domestic dogs have unique potential to inform our understanding of the determinants of aging. Here we outline key concepts in the study of aging and illustrate the value of research with dogs, which can improve dog health and support translational discoveries. We consider similarities and differences in aging and age-related diseases in dogs and humans and summarize key advances in our understanding of genetic and environmental risk factors for morbidity and mortality in dogs. We address health outcomes ranging from cancer to cognitive function and highlight emerging research opportunities from large-scale cohort studies in companion dogs. We conclude that studying aging in dogs could overcome many limitations of laboratory models, most notably, the ability to assess how aging-associated pathways influence aging in real-world environments similar to those experienced by humans.

23 June 2021 in Animals
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Journal Article
Open access
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APAshley Paynter
Ashley Paynter
MDMatthew Dunbar
Matthew Dunbar
KCKate Creevy
Kate Creevy
ARAudrey Ruple
Audrey Ruple
Dogs provide an ideal model for study as they have the most phenotypic diversity and known naturally occurring diseases of all non-human land mammals. Thus, data related to dog health present many opportunities to discover insights into health and disease outcomes. Here, we describe several sources of veterinary medical big data that can be used in research. These sources include medical records from primary medical care centers or referral hospitals, medical claims data from animal insurance companies, and datasets constructed specifically for research purposes. No data source provides information that is without limitations, but large-scale, prospective, longitudinally collected data from dog populations are ideal for further research as they offer many advantages over other data sources.

23 July 2018 in Journal of Small Animal Practice
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Journal Article
Closed access
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JHJ. M. Hoffman
J. M. Hoffman
BLBianca N. Lourenço
Bianca N. Lourenço
DPD. E. L. Promislow
D. E. L. Promislow
KCKate Creevy
Kate Creevy

1 January 2010 in Journal of the American Animal Hospital Association
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Journal Article
Closed access
MKMarc Kent
Marc Kent
KCKate Creevy
Kate Creevy
ADAlexander Delahunta
Alexander Delahunta
Three adult Chihuahuas were presented for evaluation after smoke inhalation during a house fire. All three dogs received supportive care and supplemental oxygen. After initial improvement, the dogs developed seizures. Despite anticonvulsant therapy and supportive care, the dogs died. The brains of two dogs were examined. Lesions were identified that were compatible with acute carbon monoxide (CO) toxicity. Lesions were confined to the caudate nucleus, the globus pallidus, and the substantia nigra bilaterally, as well as the cerebellum, cerebral cortex, and dorsal thalamus. This case report describes the clinicopathological sequelae in acute CO toxicity.

1 June 2024 in GeroScience
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Journal Article
Closed access
PDF file
SSSarah M. Schmid
Sarah M. Schmid
JHJessica Hoffman
Jessica Hoffman
JPJena Prescott
Jena Prescott
HEHolley Ernst
Holley Ernst
DPDaniel E. L. Promislow
Daniel E. L. Promislow
KCKate Creevy
Kate Creevy