Glucocorticoid assessment in the domestic horse: The impacts of time and climatic variables on sample integrity.
Abstract: Assessment of faecal glucocorticoid metabolites (FGM) offers a noninvasive method of monitoring adrenal activity in domestic horses. Samples are collected on an opportunistic basis and, if they are not fresh or have been exposed to the elements before they are identified, may not accurately reflect FGM concentrations. Objective: To explore the impact of a range of environmental conditions upon the integrity of FGM levels in equine faeces. Methods: In vitro experiment. Methods: Equine faeces were exposed to six controlled environmental conditions intended to simulate a range of weather and seasonal patterns (temperate climate, high heat, high heat and rainfall, temperate climate and rainfall, high heat/temperate climate, freeze/thaw) over a period of 5 days. FGM were quantified using an enzyme-linked immunoassay. Results: Faecal samples exposed to room temperature and high heat demonstrated significant increases in FGM levels over time. No changes in FGM levels were observed in the remaining treatments. Conclusions: The study should be repeated in field conditions and with known high and low levels of FGM to further inform sampling regimes. Conclusions: Adrenal monitoring in the domestic horse should be performed with consideration of the impact of climate on the integrity of faecal samples in order to further inform sampling schedules and improve the reliability of results.
© 2017 EVJ Ltd.
Publication Date: 2017-09-13 PubMed ID: 28727902DOI: 10.1111/evj.12726Google Scholar: Lookup
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- Journal Article
Summary
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The research article investigates how different environmental conditions can impact the levels of faecal glucocorticoid metabolites (FGM) – stress hormones – in horse faeces and therefore the accuracy of stress monitoring in horses.
Research Objectives:
- The purpose of this study was to analyze the effects of various climates and time conditions on the concentration of FGM in equine faeces.
- The research aims to improve the process and dependability of stress assessment in domestic horses.
Methods:
- The research was conducted as an in vitro experiment, using controlled environmental conditions to imitate a mix of weather and seasonal patterns.
- The conditions included a temperate climate, high heat, a combination of high heat and rainfall, a mix of temperate climate and rainfall, fluctuation between high heat and temperate climate, and a freeze/thaw cycle. These conditions were maintained over a five-day period.
- Enzyme-linked immunoassay, a laboratory technique used to measure antigens (molecules capable of inducing an immune response) in biological samples, was used to quantify FGM in the faecal samples.
Results:
- The research found that when exposed to room temperature and high heat, the FGM levels in the faecal samples significantly increased over time.
- In contrast, the FGM levels in the faecal samples showed no change when subjected to other environmental conditions.
Conclusions and Recommendations:
- The researchers recommend duplicating the study in the field and with known high and low concentrations of FGM to provide more insight into the optimal sampling routines.
- The study concluded that when monitoring the adrenal activity in horses, it’s crucial to take into account the impact of climate on the integrity of faecal samples to better inform sampling schedules and enhance the reliability of the results.
Cite This Article
APA
Yarnell K, Walker SL.
(2017).
Glucocorticoid assessment in the domestic horse: The impacts of time and climatic variables on sample integrity.
Equine Vet J, 50(2), 270-272.
https://doi.org/10.1111/evj.12726 Publication
Researcher Affiliations
- Department of Animal, Rural and Environmental Science, Nottingham Trent University, Nottingham, UK.
- North of England Zoological Society, Chester Zoo, Upton-by-Chester, UK.
MeSH Terms
- Animals
- Feces / chemistry
- Glucocorticoids / chemistry
- Glucocorticoids / metabolism
- Horses / physiology
- Rain
- Temperature
- Time Factors
Citations
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