Morphometric, metabolic, and inflammatory markers across a cohort of client-owned horses and ponies on the insulin dysregulation spectrum.
Abstract: In human metabolic syndrome and type II diabetes, methylglyoxal (MG), D-lactate, and several cytokines have been recognized as biomarkers of important metabolic and inflammatory processes. Equine metabolic syndrome (EMS) shares many similarities with these human counterparts. The objectives of this cross-sectional study were to compare body condition score (BCS), cresty neck score (CNS), resting insulin, MG, D-lactate, L-lactate, tumor necrosis factor-α (TNF-α), interleukin-6 (IL-6), and monocyte chemoattractant protein-1 (MCP-1) between horses with and without insulin dysregulation, as classified via combined glucose and insulin test (CGIT). 32 client-owned horses were included. History and morphometric data such as BCS and CNS were recorded. Subjects with abnormalities on physical examination or CBC, elevated ACTH or incomplete information were excluded. Baseline serum or plasma concentrations of biomarkers were tested via commercial ELISA or colorimetric assays. Characteristics of insulin dysregulated and insulin sensitive horses were compared by univariate analysis and forward logistic regression. 12 (38%) of the 32 horses were classified as insulin dysregulated. No significant difference between the 2 groups was found for age, BCS, baseline glucose, triglycerides, MG, D-lactate, L-lactate, TNF-α, IL-6, and MCP-1. Baseline insulin was significantly associated with insulin dysregulation in univariate analysis (P = 0.02), but not in the final model. Horses with CNS ≥ 3 had 11.3 times higher odds of having insulin dysregulation (OR 11.3, 95% C.I. 2.04 - 63.08, P = 0.006). In this population, horses with mild-moderate signs of EMS presented similar metabolic and inflammatory profiles to non-insulin dysregulated controls.
Copyright © 2021. Published by Elsevier Inc.
Publication Date: 2021-07-16 PubMed ID: 34607688DOI: 10.1016/j.jevs.2021.103715Google Scholar: Lookup
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- Journal Article
Summary
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The study explores the relationship between morphometric, metabolic, and inflammatory markers in horses and ponies with insulin dysregulation. The findings suggest that horses with mild-moderate signs of Equine Metabolic Syndrome (EMS) do not have significantly different metabolic and inflammatory profiles from non-insulin dysregulated controls.
Conceptual Background and Objectives
- The investigation was based on the corresponding relationship between metabolic syndrome and type II diabetes in humans, and insulin dysregulation in horses. In the human condition, specific markers like methylglyoxal (MG), D-lactate, and various cytokines are used as biomarkers for defining metabolic and inflammatory processes. EMS in horses shares several similarities with these human conditions.
- The primary aim of the study was to compare various factors including body condition score (BCS), cresty neck score (CNS), resting insulin, MG, D-lactate, L-lactate, tumor necrosis factor-α (TNF-α), interleukin-6 (IL-6), and monocyte chemoattractant protein-1 (MCP-1) between horses showing signs of insulin dysregulation and those without, as classified via a combined glucose and insulin test (CGIT).
Methodology
- For the study, 32 client-owned horses were included. The team gathered historical and morphometric data including BCS and CNS.
- Subjects with certain abnormalities, elevated ACTH, or incomplete information were excluded from the study.
- Biomarker concentrations were tested using commercial ELISA or colorimetric assays.
- The characteristics of insulin dysregulated and insulin sensitive horses were compared using univariate analysis and forward logistic regression.
Results
- The research found that out of 32 horses, 12 (38%) were classified as insulin dysregulated.
- No significant difference between the two groups was found in age, BCS, baseline glucose, triglycerides, MG, D-lactate, L-lactate, TNF-α, IL-6, and MCP-1.
- Baseline insulin was significantly associated with insulin dysregulation in the univariate analysis, but this was not maintained in the final model.
- Horses with a CNS score greater or equal to 3 had 11.3 times higher odds of having insulin dysregulation.
Conclusion
- The study showed that horses with mild to moderate signs of EMS presented metabolic and inflammatory profiles similar to their non-insulin dysregulated counterparts.
Cite This Article
APA
Ragno VM, Klein CD, Sereda NS, Uehlinger FD, Zello GA, Robinson KA, Montgomery JB.
(2021).
Morphometric, metabolic, and inflammatory markers across a cohort of client-owned horses and ponies on the insulin dysregulation spectrum.
J Equine Vet Sci, 105, 103715.
https://doi.org/10.1016/j.jevs.2021.103715 Publication
Researcher Affiliations
- Department of Large Animal Clinical Sciences, Western College of Veterinary Medicine, University of Saskatchewan, Saskatoon, Saskatchewan, Canada. Electronic address: valentina.ragno@usask.ca.
- Department of Large Animal Clinical Sciences, Western College of Veterinary Medicine, University of Saskatchewan, Saskatoon, Saskatchewan, Canada.
- Department of Large Animal Clinical Sciences, Western College of Veterinary Medicine, University of Saskatchewan, Saskatoon, Saskatchewan, Canada.
- Department of Large Animal Clinical Sciences, Western College of Veterinary Medicine, University of Saskatchewan, Saskatoon, Saskatchewan, Canada.
- College of Pharmacy and Nutrition, University of Saskatchewan, Saskatoon, Saskatchewan Canada.
- Department of Large Animal Clinical Sciences, Western College of Veterinary Medicine, University of Saskatchewan, Saskatoon, Saskatchewan, Canada.
- Department of Large Animal Clinical Sciences, Western College of Veterinary Medicine, University of Saskatchewan, Saskatoon, Saskatchewan, Canada.
MeSH Terms
- Animals
- Biomarkers
- Cross-Sectional Studies
- Diabetes Mellitus, Type 2 / veterinary
- Horse Diseases / diagnosis
- Horses
- Insulin
Citations
This article has been cited 1 times.- Kellon EM, Gustafson KM. Hypertriglyceridemia in equines with refractory hyperinsulinemia treated with SGLT2 inhibitors.. Open Vet J 2023 Mar;13(3):365-375.
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