Use of principle component analysis to quantitatively score the equine metabolic syndrome phenotype in an Arabian horse population.

ABSTRACT: Equine metabolic syndrome (EMS), like human metabolic syndrome, comprises a collection of clinical signs related to obesity, insulin dysregulation and susceptibility to secondary inflammatory disease. Although the secondary conditions resulting from EMS can be life-threatening, diagnosis is not straightforward and often complicated by the presence of other concurrent conditions like pituitary pars intermedia dysfunction (PPID). In order to better characterize EMS, we sought to describe the variation within, and correlations between, typical physical and endocrine parameters for EMS. Utilizing an unsupervised statistical approach, we evaluated a population of Arabian horses using a physical examination including body measurements, as well as blood plasma insulin, leptin, ACTH, glucose, and

SUBMITTER: Lewis SL 

PROVIDER: S-EPMC6042766 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature