10.1093/jn/136.7.2090S.
Abstract: Treatment of clinical laminitis usually fails to prevent some degree of persistent disability; thus, intervention should aim at avoiding risk factors and preventing the disease. Efficiency of intervention would be improved by identifying predisposed horses and ponies. A herd of 160 healthy ponies included 54 previously laminitic (PL) and 106 never laminitic (NL). Pedigree analysis was consistent with dominant inheritance partially suppressed in males. Blood analysis revealed higher plasma concentrations of insulin and triglycerides but not cortisol, glucose, or free fatty acids in the PL group. Proxies for insulin sensitivity and beta-cell responsiveness, which were calculated from plasma insulin and glucose, indicated compensated insulin resistance in the PL group. A prelaminitic metabolic syndrome (PLMS) was derived statistically to have cut-off points for the 2 proxies, hypertriglyceridemia, and body condition score. It had a total predictive power of 78%. It identified 62 ponies with PLMS, and 98 as PLMS-free. Two months later, pasture starch concentration doubled, and 13 clinical cases of laminitis developed, 11 in the PLMS group and 2 in the PLMS-free group, giving an odds ratio of 10.4 (P = 0.0006). The PLMS can be used to identify predisposed ponies in need of special care; the efficiency of intervention would increase nearly 3-fold in the present case. It enables the design of new interventions suitable for testing. The PLMS also might influence market values.
Publication Date: 2006-06-15 PubMed ID: 16772508DOI: 10.1093/jn/136.7.2090SGoogle Scholar: Lookup
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- Journal Article
- Research Support
- Non-U.S. Gov't
Summary
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The research explored clinical laminitis in ponies and the effectiveness of an intervention system called prelaminitic metabolic syndrome (PLMS) in identifying risk factors of the disease.
Objective of the Study
- The primary objective of this study was to improve the efficacy of intervention strategies against the development of clinical laminitis in horses and ponies, by identifying animals predisposed to the disease.
Pedigree Analysis
- The researchers carried out a pedigree analysis on a herd of 160 healthy ponies. This group included 54 ponies previously diagnosed with laminitis (PL) and 106 that had never shown symptoms of the disease (NL).
- The pedigree analysis indicated that the inheritance of the disease might be dominant but suppressed in male ponies.
Blood Analysis
- Blood tests were conducted on the ponies to evaluate the levels of insulin, triglycerides, cortisol, glucose and free fatty acids.
- The PL group was found to have higher concentrations of insulin and triglycerides, but not higher cortisol, glucose, or free fatty acid levels.
- The data suggested that the PL group had compensated insulin resistance, which was inferred from the determined insulin and glucose levels.
Prelaminitic Metabolic Syndrome (PLMS)
- The researchers established a novel concept called the prelaminitic metabolic syndrome (PLMS), based on the findings from the study.
- The PLMS involved cut-off points for insulin sensitivity, beta-cell responsiveness, body condition score, and levels of triglycerides in the blood.
- Using this model, they were able to identify 62 ponies with PLMS and considered these to be at high risk, while 98 were categorized as PLMS-free, suggesting they were low risk.
PLMS Test Accuracy
- When pasture starch concentration (a known factor for inducing laminitis) was doubled after two months, 13 cases of clinical laminitis were discovered. Eleven of these were from the PLMS-identified high-risk group, and only 2 were from the PLMS-free group.
- The odds ratio calculation indicated a ten-fold higher risk in the PLMS group, confirming the validity of the PLMS as an efficient tool for identifying predisposed ponies in need of special care.
- The researchers concluded that the use of the PLMS could almost triple the efficiency of interventions and could also provide a methodology for designing new targeted interventions.
Cite This Article
APA
Kronfeld DS, Treiber KH, Hess TM, Splan RK, Byrd BM, Staniar WB, White NW.
(2006).
10.1093/jn/136.7.2090S.
J Nutr, 136(7 Suppl), 2090S-2093S.
https://doi.org/10.1093/jn/136.7.2090S Publication
Researcher Affiliations
- Department of Animal and Poultry Science, Virginia Polytechnic and State University, Blacksburg, VA 24061-0306, USA. kronfeld@pemtel.net
MeSH Terms
- Animal Nutritional Physiological Phenomena
- Animals
- Horse Diseases / etiology
- Horses
- Inflammation / etiology
- Inflammation / veterinary
- Insulin Resistance
- Lameness, Animal / etiology
- Metabolic Syndrome / etiology
- Metabolic Syndrome / veterinary
- Poaceae
Citations
This article has been cited 2 times.- Ang L, Vinderola G, Endo A, Kantanen J, Jingfeng C, Binetti A, Burns P, Qingmiao S, Suying D, Zujiang Y, Rios-Covian D, Mantziari A, Beasley S, Gomez-Gallego C, Gueimonde M, Salminen S. Gut Microbiome Characteristics in feral and domesticated horses from different geographic locations. Commun Biol 2022 Feb 25;5(1):172.
- Lewis SL, Holl HM, Long MT, Mallicote MF, Brooks SA. Use of principle component analysis to quantitatively score the equine metabolic syndrome phenotype in an Arabian horse population. PLoS One 2018;13(7):e0200583.
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