Network analysis of canine brain morphometry links tumour risk to oestrogen deficiency and accelerated brain ageing

Nina M. Rzechorzek, Olivia M. Saunders, Lucy V. Hiscox, Tobias Schwarz, Katia Marioni-Henry, David J. Argyle, Jeffrey J. Schoenebeck, Tom C. Freeman

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

Structural ‘brain age’ is a valuable but complex biomarker for several brain disorders. The dog is an unrivalled comparator for neurological disease modeling, however canine brain morphometric diversity creates computational and statistical challenges. Using a data-driven approach, we explored complex interactions between patient metadata, brain morphometry, and neurological disease. Twenty-four morphometric parameters measured from 286 canine brain magnetic resonance imaging scans were combined with clinical parameters to generate 9,438 data points. Network analysis was used to cluster patients according to their brain morphometry profiles. An ‘aged-brain’ profile, defined by a small brain width and volume combined with ventriculomegaly, was revealed in the Boxer breed. Key features of this profile were paralleled in neutered female dogs which, relative to un-neutered females, had an 11-fold greater risk of developing brain tumours. Boxer dog and geriatric dog groups were both enriched for brain tumour diagnoses, despite a lack of geriatric Boxers within the cohort. Our findings suggest that advanced brain ageing enhances brain tumour risk in dogs and may be influenced by oestrogen deficiency—a risk factor for dementia and brain tumours in humans. Morphometric features of brain ageing in dogs, like humans, might better predict neurological disease risk than patient chronological age.

Original languageEnglish
Article number12506
JournalScientific Reports
Volume9
Issue number1
Early online date29 Aug 2019
DOIs
Publication statusPublished - 31 Dec 2019

ASJC Scopus subject areas

  • General

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