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Updated: Jun 30, 2025

Comet Assay as an Indirect Measure of Systemic Oxidative Stress
Published on: May 22, 2015
Blood-based assessment of oxidative stress, inflammation, endocrine and metabolic adaptations in eventing horses
Johanna Giers1, Alexander Bartel2, Katharina Kirsch3
1Equine Clinic, Internal Medicine, Freie Universität Berlin, Berlin, Germany.
Background:
After submaximal exercise, blood values of eventing horses show physiological reactions.
Objectives:
This prospective longitudinal study investigated blood parameters in 20 elite eventing horses before and after two-four-star cross-country rides.
Methods:
Using a mixed model adjusting for plasma volume shift, we assessed exercise-dependent parameters and compared blood values with reference ranges for healthy horses at rest.
Results:
Following exercise, cortisol, triiodothyronine (T3) and thyroxine (T4) showed short-term increases, and superoxide-dismutase showed a small short-term increase. Hepatic values showed short-term (haemoglobin [HGB], globulins) or sustained increases (bilirubin, glutamate dehydrogenase, alanine aminotransferase). Digestion-related parameters showed small short-term increases (α-amylase, triglycerides) or decreases (cholesterol, DGGR-lipase), apparent through plasma shift adjustment. Zinc decreased in the short term, and iron showed a delayed decrease. White blood cell count increased persistently after training, whereas serum amyloid A remained unchanged.
Conclusions:
Exercised eventing horses had consistently elevated HGB and cortisol levels 10 and 30 min after submaximal exercise, exceeding the reference ranges for healthy horses at rest. Exercise activates the hypothalamic-pituitary-adrenocortical and hypothalamic-pituitary-thyroid axes. Antioxidant activity was observed. Increased energy requirements led to the mobilization of energy reserves, and a sustained increase in liver enzymes indicated hepatocellular injury. Mild haemolysis suggested increased muscle metabolism, whereas signs of inflammation were subtle. Further research is needed to identify which horses deviate from mean values.
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