Skip to main navigation Skip to search Skip to main content

Evaluation of fasting plasma insulin and proxy measurements to assess insulin sensitivity in horses

    Publication: Contribution to journalJournal articlepeer-review

    Abstract

    BackgroundProxies are mathematical calculations based on fasting glucose and/or insulin concentrations developed to allow prediction of insulin sensitivity (IS) and beta -cell response. These proxies have not been evaluated in horses with insulin dysregulation. The first objective of this study was to evaluate how fasting insulin (FI) and proxies for IS (1/Insulin, reciprocal of the square root of insulin (RISQI) and the quantitative insulin sensitivity check index (QUICKI)) and beta -cell response (the modified insulin-to-glucose ratio (MIRG) and the homeostatic model assessment of beta -cell function (HOMA-beta)) were correlated to measures of IS (M index) using the euglycemic hyperinsulinemic clamp (EHC) in horses with insulin resistance (IR) and normal IS. A second objective was to evaluate the repeatability of FI and proxies in horses based on sampling on consecutive days. The last objective was to investigate the most appropriate cut-off value for the proxies and FI.ResultsThirty-four horses were categorized as IR and 26 as IS based on the M index. The proxies and FI had coefficients of variation (CVs)= 0.89). All proxies and FI were good predictors of the M index (r=0.76-0.85; P9.5 mu IU/mL for FI.ConclusionsAll proxies and FI provided repeatable estimates of horses' IS. However, there is no advantage of using proxies instead of FI to estimate IR in the horse. Due to the heteroscedasticity of the data, proxies and FI in general are more suitable for epidemiological studies and larger clinical studies than as a diagnostic tool for measurement of IR in individual horses.
    Original languageEnglish
    Article number78
    Number of pages10
    JournalBMC Veterinary Research
    Volume17
    Issue number1
    DOIs
    Publication statusPublished - 2021

    Keywords

    • Endocrine
    • Equine metabolic syndrome
    • Beta-cell response
    • Insulin dysregulation
    • Insulin resistance

    Cite this