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.
Background: Structural 'brain age' is a valuable but complex biomarker for several brain disorders. The dog is an unrivalled comparator for neurological disease modeling, however brain phenotypic diversity among pedigrees creates computational and statistical challenges.Methods: We applied unbiased network correlation analysis in dogs to explore complex interactions between brain morphometrics, patient metadata, and neurological disease.Twenty-four parameters measured from each of 286 brain magnetic resonance imaging scans 2 generated 9,438 data points that were used to cluster canine patients according to their brain morphometry profiles. The network was then explored for statistically significant enrichments within breed, sex, age, and diagnostic categories.Findings: Morphometric comparisons revealed an advanced 'aged-brain' profile in the Boxer breed, consisting of a small brain length, width, and volume, combined with ventriculomegaly. 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 primary brain tumours. Enrichment analysis confirmed that Boxers and geriatric individuals were enriched for brain tumour diagnoses, despite a lack of geriatric Boxers within the cohort.Interpretation: These findings suggest that accelerated brain ageing might contribute to tumour risk in Boxers and may be influenced by oestrogen deficiency -a risk factor for dementia and brain tumours in humans. We propose that morphometric features of brain ageing in dogs, like humans, might better predict neurological disease risk than a patient's chronological age. Funding: Wellcome Trust Integrated Training Fellowship for Veterinarians (096409/Z/11/Z to N.M.R) and an MSD Animal Health Connect Bursary (to O.M.S.). Research in context Evidence before this studyOur ageing human population has increased the prevalence of chronic brain disorders, placing an unsustainable burden on healthcare systems worldwide. Contributing to this problem is our limited understanding of how chronic brain disorders begin, how they might Added value of this studyWith an unconventional data-driven approach, we have identified an advanced 'brain age' in neutered female dogs and the Boxer breed that is associated with brain tumour risk. To our knowledge, this is the first study to link brain tumour risk to both accelerated brain ageing and oestrogen loss. Moreover, we have demonstrated that neutering status affects brain shape in dogs. This study outlines new collaborative opportunities -through comparative biology -to understand the influence of chromosomal and hormonal sex on brain structure, brain ageing, and brain tumour development. Our data can also be incorporated into larger canine databases to help extract non-invasive image-based biomarkers for neurological disease.Furthermore, our unique network analysis approach to handle the combined complexity within clinical and brain imaging datasets is immediately relevant to human patient studies. Implications of all...
[ 494 ] BSAVA CONGRESS 2018 PROCEEDINGS staining intensity under light microscopy, using a 0-3 scale by two independent scorers and objective quantification using an image-processing program. Staining intensity was compared between groups using T-testing.
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