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Home / Equine Research Bank / Equine Vet J / Prediction of incipient pasture-associated laminitis from hy...
Equine veterinary journal2009; 41(2); 171-178; doi: 10.2746/042516408x342975

Prediction of incipient pasture-associated laminitis from hyperinsulinaemia, hyperleptinaemia and generalised and localised obesity in a cohort of ponies.

Abstract: The ability to predict ponies at increased risk of laminitic episodes, when exposed to nutrient dense pasture, would facilitate management to avoid disease. Objective: To identify variables and clinically useful cut-off values with reproducible diagnostic accuracy for the prediction of ponies that subsequently developed laminitis when exposed to nutrient dense pasture. Methods: A cohort of predominantly Welsh and Dartmoor ponies from a closed herd was evaluated in March 2006 (n = 74) and March 2007 (n = 57). Ponies were categorised as never laminitic or previously laminitic according to reported laminitic history and as clinically laminitic (CL) if laminitis was observed within 3 months following evaluation. Body condition score (BCS), cresty neck score (CNS), girth and neck circumferences (NC), withers height, blood pressure and hoof surface temperature, and plasma insulin, glucose, triglyceride, leptin, cortisol, ACTH, uric acid and TNF-alpha concentrations were measured. Analysis of sensitivity, specificity and receiver operating characteristic curves was used to evaluate the diagnostic accuracy for a variable to predict CL ponies. Results: Variables with diagnostic accuracy for the prediction of CL ponies included insulin, leptin, BCS, CNS, and NC:height ratio. Specific cut-off values of insulin (>32 mu/l), leptin (>73 ng/ml), BCS (> or = 7), CNS (> or = 4) and NC:height ratio (>0.71) had reproducible diagnostic accuracy for the prediction of laminitis. Combining tests did not result in higher diagnostic accuracy than individual tests of insulin or leptin during either evaluation. Conclusions: Tests of insulin and leptin concentrations and measures of generalised (BCS) and localised (CNS or NC:height ratio) obesity were beneficial in the prediction of laminitic episodes. Conclusions: These results highlight the importance of monitoring and reducing insulin concentration, and generalised and regional obesity in ponies to reduce risk of laminitis.
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Publication Date: 2009-05-08 PubMed ID: 19418747DOI: 10.2746/042516408x342975Google Scholar: Lookup
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  • Journal Article
  • Research Support
  • Non-U.S. Gov't

Summary

This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.

The research sought to identify the factors and specific thresh hold values that can accurately predict ponies at risk of developing laminitis when exposed to nutrient rich pasture. The study found that certain levels of insulin, leptin, body condition score, cresty neck score, and neck circumference-to-height ratio were instrumental in foreseeing potential laminitic episodes.

Research Methodology

  • A cohort of mainly Welsh and Dartmoor ponies from a closed herd were studied in March of 2006 and 2007. The number of ponies examined in 2006 was 74, while in 2007, it was 57.
  • Ponies were categorized based on their prior history of laminitis and whether laminitis was observed within a three-month period post-evaluation.
  • The variables assessed included body condition score (BCS), cresty neck score (CNS), girth and neck circumferences, withers height, blood pressure, hoof surface temperature, as well as plasma concentrations of several biomarkers such as insulin, glucose, triglyceride, leptin, cortisol, ACTH, uric acid, and TNF-alpha.
  • The sensitivity, specificity, and receiver operating characteristic curves of these variables were analyzed to evaluate their accuracy in predicting clinically laminitic (CL) ponies.

Results

  • The study found that several variables displayed diagnostic accuracy for predicting Clinical Laminitis. These variables included insulin and leptin levels, Body condition score (BCS), Cresty neck score (CNS), and Neck circumference to height ratio.
  • Specific threshold values of these variables were identified. For insulin, a value greater than 32 mu/l was considered indicative; for leptin greater than 73 ng/ml, a BCS greater than or equal to 7, a CNS greater than or equal to 4, and a NC: height ratio of more than 0.71 were all indicative of increased risk of laminitis.
  • The research found that combining tests did not enhance the predictive accuracy; individual tests on insulin or leptin remained the most accurate during these evaluations.

Conclusions

  • The study concluded that measures of insulin and leptin concentration, alongside assessments of generalized and localized obesity, are beneficial in predicting potential laminitic episodes in ponies.
  • The findings emphasize the importance of continuous monitoring and reduction of insulin levels, as well as controlling overall and regional obesity in ponies as a preventive measure against laminitis.

Cite This Article

APA
Carter RA, Treiber KH, Geor RJ, Douglass L, Harris PA. (2009). Prediction of incipient pasture-associated laminitis from hyperinsulinaemia, hyperleptinaemia and generalised and localised obesity in a cohort of ponies. Equine Vet J, 41(2), 171-178. https://doi.org/10.2746/042516408x342975

Publication

Equine veterinary journal
ISSN: 0425-1644
NlmUniqueID: 0173320
Country: United States
Language: English
Volume: 41
Issue: 2
Pages: 171-178

Researcher Affiliations

Carter, R A
  • Department of Animal and Poultry Sciences, Virginia Tech, Blacksburg, Virginia 24061, USA.
Treiber, K H
    Geor, R J
      Douglass, L
        Harris, P A

          MeSH Terms

          • Animal Husbandry / methods
          • Animals
          • Cohort Studies
          • Comorbidity
          • Diagnosis, Differential
          • Female
          • Foot Diseases / blood
          • Foot Diseases / epidemiology
          • Foot Diseases / veterinary
          • Horse Diseases / blood
          • Horse Diseases / epidemiology
          • Horses
          • Hyperinsulinism / blood
          • Hyperinsulinism / epidemiology
          • Hyperinsulinism / veterinary
          • Leptin / blood
          • Obesity / blood
          • Obesity / epidemiology
          • Obesity / veterinary
          • Poaceae
          • Predictive Value of Tests
          • Risk Factors

          Citations

          This article has been cited 46 times.
          1. Delarocque J, Feige K, Carslake HB, Durham AE, Fey K, Warnken T. Development of a Web App to Convert Blood Insulin Concentrations among Various Immunoassays Used in Horses.. Animals (Basel) 2023 Aug 24;13(17).
            doi: 10.3390/ani13172704pubmed: 37684968google scholar: lookup
          2. Stefaniuk-Szmukier M, Piórkowska K, Ropka-Molik K. Equine Metabolic Syndrome: A Complex Disease Influenced by Multifactorial Genetic Factors.. Genes (Basel) 2023 Jul 27;14(8).
            doi: 10.3390/genes14081544pubmed: 37628596google scholar: lookup
          3. Akinniyi OO, Sackey AKB, Ochube GE, Mshelia PW, Musa FA, Elijah MO, Jolayemi KO. Occurrence of equine metabolic syndrome, clinical manifestations, and associated risk factors in Nigeria.. J Equine Sci 2023 Jun;34(2):29-35.
            doi: 10.1294/jes.34.29pubmed: 37405068google scholar: lookup
          4. Gmel AI, Brem G, Neuditschko M. New genomic insights into the conformation of Lipizzan horses.. Sci Rep 2023 Jun 2;13(1):8990.
            doi: 10.1038/s41598-023-36272-4pubmed: 37268682google scholar: lookup
          5. Uldahl M, Dahl J, Clayton HM. Body Condition Score in Danish Horses Related to Type, Use, and Training Level: Patterns, Risk, and Protective Factors.. Animals (Basel) 2023 Mar 31;13(7).
            doi: 10.3390/ani13071219pubmed: 37048475google scholar: lookup
          6. Pratt-Phillips S, Munjizun A. Impacts of Adiposity on Exercise Performance in Horses.. Animals (Basel) 2023 Feb 14;13(4).
            doi: 10.3390/ani13040666pubmed: 36830453google scholar: lookup
          7. Daradics Z, Niculae M, Crecan CM, Lupșan AF, Rus MA, Andrei S, Ciobanu DM, Cătoi FA, Pop ID, Mircean MV, Cătoi C. Clustering and Correlations amongst NEFA, Selected Adipokines and Morphological Traits-New Insights into Equine Metabolic Syndrome.. Animals (Basel) 2022 Oct 20;12(20).
            doi: 10.3390/ani12202863pubmed: 36290249google scholar: lookup
          8. Knowles EJ, Elliott J, Harris PA, Chang YM, Menzies-Gow NJ. Predictors of laminitis development in a cohort of nonlaminitic ponies.. Equine Vet J 2023 Jan;55(1):12-23.
            doi: 10.1111/evj.13572pubmed: 35263471google scholar: lookup
          9. Sillence M, Meier A, de Laat M, Klee R, Reiche D. Demographic, morphologic, hormonal and metabolic factors associated with the rate of improvement from equine hyperinsulinaemia-associated laminitis.. BMC Vet Res 2022 Jan 18;18(1):49.
            doi: 10.1186/s12917-022-03149-zpubmed: 35042535google scholar: lookup
          10. Daradics Z, Crecan CM, Rus MA, Morar IA, Mircean MV, Cătoi AF, Cecan AD, Cătoi C. Obesity-Related Metabolic Dysfunction in Dairy Cows and Horses: Comparison to Human Metabolic Syndrome.. Life (Basel) 2021 Dec 16;11(12).
            doi: 10.3390/life11121406pubmed: 34947937google scholar: lookup
          11. Jansson A, Harris P, Davey SL, Luthersson N, Ragnarsson S, Ringmark S. Straw as an Alternative to Grass Forage in Horses-Effects on Post-Prandial Metabolic Profile, Energy Intake, Behaviour and Gastric Ulceration.. Animals (Basel) 2021 Jul 24;11(8).
            doi: 10.3390/ani11082197pubmed: 34438656google scholar: lookup
          12. Stokes SM, Stefanovski D, Bertin FR, Medina-Torres CE, Belknap JK, van Eps AW. Plasma amino acid concentrations during experimental hyperinsulinemia in 2 laminitis models.. J Vet Intern Med 2021 May;35(3):1589-1596.
            doi: 10.1111/jvim.16095pubmed: 33704816google scholar: lookup
          13. Gehlen H, Schwarz B, Bartmann C, Gernhardt J, Stöckle SD. Pituitary Pars Intermedia Dysfunction and Metabolic Syndrome in Donkeys.. Animals (Basel) 2020 Dec 8;10(12).
            doi: 10.3390/ani10122335pubmed: 33302557google scholar: lookup
          14. Carslake HB, Pinchbeck GL, McGowan CM. Equine metabolic syndrome in UK native ponies and cobs is highly prevalent with modifiable risk factors.. Equine Vet J 2021 Sep;53(5):923-934.
            doi: 10.1111/evj.13378pubmed: 33128277google scholar: lookup
          15. Rahnama S, Vathsangam N, Spence R, Medina-Torres CE, Pollitt CC, de Laat MA, Bailey SR, Sillence MN. Effects of an anti-IGF-1 receptor monoclonal antibody on laminitis induced by prolonged hyperinsulinaemia in Standardbred horses.. PLoS One 2020;15(9):e0239261.
            doi: 10.1371/journal.pone.0239261pubmed: 32991593google scholar: lookup
          16. Williams CA, Kenny LB, Weinert JR, Sullivan K, Meyer W, Robson MG. Effects of 27 mo of rotational vs. continuous grazing on horse and pasture condition.. Transl Anim Sci 2020 Jul;4(3):txaa084.
            doi: 10.1093/tas/txaa084pubmed: 32705075google scholar: lookup
          17. Hodge E, Kowalski A, Torcivia C, Lindborg S, Stefanovski D, Hart K, Frank N, van Eps A. Effect of thyrotropin-releasing hormone stimulation testing on the oral sugar test in horses when performed as a combined protocol.. J Vet Intern Med 2019 Sep;33(5):2272-2279.
            doi: 10.1111/jvim.15601pubmed: 31432575google scholar: lookup
          18. Fitzgerald DM, Anderson ST, Sillence MN, de Laat MA. The cresty neck score is an independent predictor of insulin dysregulation in ponies.. PLoS One 2019;14(7):e0220203.
            doi: 10.1371/journal.pone.0220203pubmed: 31339945google scholar: lookup
          19. Moser K, Banse H. Comparison of the glucose and insulin responses of horses to 2 formulations of corn syrup.. Can Vet J 2019 Jun;60(6):637-643.
            pubmed: 31156265
          20. de Laat MA, Reiche DB, Sillence MN, McGree JM. Incidence and risk factors for recurrence of endocrinopathic laminitis in horses.. J Vet Intern Med 2019 May;33(3):1473-1482.
            doi: 10.1111/jvim.15497pubmed: 30972832google scholar: lookup
          21. Watts MR, Hegedus OC, Eades SC, Belknap JK, Burns TA. Association of sustained supraphysiologic hyperinsulinemia and inflammatory signaling within the digital lamellae in light-breed horses.. J Vet Intern Med 2019 May;33(3):1483-1492.
            doi: 10.1111/jvim.15480pubmed: 30912229google scholar: lookup
          22. Meier A, de Laat M, Reiche D, Fitzgerald D, Sillence M. The efficacy and safety of velagliflozin over 16 weeks as a treatment for insulin dysregulation in ponies.. BMC Vet Res 2019 Feb 26;15(1):65.
            doi: 10.1186/s12917-019-1811-2pubmed: 30808423google scholar: lookup
          23. Durham AE, Frank N, McGowan CM, Menzies-Gow NJ, Roelfsema E, Vervuert I, Feige K, Fey K. ECEIM consensus statement on equine metabolic syndrome.. J Vet Intern Med 2019 Mar;33(2):335-349.
            doi: 10.1111/jvim.15423pubmed: 30724412google scholar: lookup
          24. de Laat MA, Sillence MN, Reiche DB. Phenotypic, hormonal, and clinical characteristics of equine endocrinopathic laminitis.. J Vet Intern Med 2019 May;33(3):1456-1463.
            doi: 10.1111/jvim.15419pubmed: 30697823google scholar: lookup
          25. Cassimeris L, Engiles JB, Galantino-Homer H. Detection of endoplasmic reticulum stress and the unfolded protein response in naturally-occurring endocrinopathic equine laminitis.. BMC Vet Res 2019 Jan 10;15(1):24.
            doi: 10.1186/s12917-018-1748-xpubmed: 30630474google scholar: lookup
          26. Durward-Akhurst SA, Schultz NE, Norton EM, Rendahl AK, Besselink H, Behnisch PA, Brouwer A, Geor RJ, Mickelson JR, McCue ME. Associations between endocrine disrupting chemicals and equine metabolic syndrome phenotypes.. Chemosphere 2019 Mar;218:652-661.
            doi: 10.1016/j.chemosphere.2018.11.136pubmed: 30502704google scholar: lookup
          27. Biddle AS, Tomb JF, Fan Z. Microbiome and Blood Analyte Differences Point to Community and Metabolic Signatures in Lean and Obese Horses.. Front Vet Sci 2018;5:225.
            doi: 10.3389/fvets.2018.00225pubmed: 30294603google scholar: lookup
          28. Meier A, Reiche D, de Laat M, Pollitt C, Walsh D, Sillence M. The sodium-glucose co-transporter 2 inhibitor velagliflozin reduces hyperinsulinemia and prevents laminitis in insulin-dysregulated ponies.. PLoS One 2018;13(9):e0203655.
            doi: 10.1371/journal.pone.0203655pubmed: 30212530google scholar: lookup
          29. Spelta CW. Equine pituitary pars intermedia dysfunction: current perspectives on diagnosis and management.. Vet Med (Auckl) 2015;6:293-300.
            doi: 10.2147/VMRR.S74191pubmed: 30101114google scholar: lookup
          30. 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.
            doi: 10.1371/journal.pone.0200583pubmed: 30001422google scholar: lookup
          31. Sleutjens J, Serra Bragança FM, van Empelen MW, Ten Have RE, de Zwaan J, Roelfsema E, Oosterlinck M, Back W. Mouldable, thermoplastic, glue-on frog-supportive shoes change hoof kinetics in normal and obese Shetland ponies.. Equine Vet J 2018 Sep;50(5):684-689.
            doi: 10.1111/evj.12814pubmed: 29356062google scholar: lookup
          32. Lindåse S, Nostell K, Söder J, Bröjer J. Relationship Between β-cell Response and Insulin Sensitivity in Horses based on the Oral Sugar Test and the Euglycemic Hyperinsulinemic Clamp.. J Vet Intern Med 2017 Sep;31(5):1541-1550.
            doi: 10.1111/jvim.14799pubmed: 28796307google scholar: lookup
          33. Carslake HB, Pinchbeck GL, McGowan CM. Evaluation of a Chemiluminescent Immunoassay for Measurement of Equine Insulin.. J Vet Intern Med 2017 Mar;31(2):568-574.
            doi: 10.1111/jvim.14657pubmed: 28124389google scholar: lookup
          34. Lindåse S, Nostell K, Bröjer J. A modified oral sugar test for evaluation of insulin and glucose dynamics in horses.. Acta Vet Scand 2016 Oct 20;58(Suppl 1):64.
            doi: 10.1186/s13028-016-0246-zpubmed: 27766982google scholar: lookup
          35. Morgan RA, Keen JA, Walker BR, Hadoke PW. Vascular Dysfunction in Horses with Endocrinopathic Laminitis.. PLoS One 2016;11(9):e0163815.
            doi: 10.1371/journal.pone.0163815pubmed: 27684374google scholar: lookup
          36. Suagee JK, Corl BA, Geor RJ. A Potential Role for Pro-Inflammatory Cytokines in the Development of Insulin Resistance in Horses.. Animals (Basel) 2012 May 2;2(2):243-60.
            doi: 10.3390/ani2020243pubmed: 26486919google scholar: lookup
          37. Morgan R, Keen J, McGowan C. Equine metabolic syndrome.. Vet Rec 2015 Aug 15;177(7):173-9.
            doi: 10.1136/vr.103226pubmed: 26273009google scholar: lookup
          38. Selim S, Elo K, Jaakkola S, Karikoski N, Boston R, Reilas T, Särkijärvi S, Saastamoinen M, Kokkonen T. Relationships among Body Condition, Insulin Resistance and Subcutaneous Adipose Tissue Gene Expression during the Grazing Season in Mares.. PLoS One 2015;10(5):e0125968.
            doi: 10.1371/journal.pone.0125968pubmed: 25938677google scholar: lookup
          39. Giles SL, Nicol CJ, Rands SA, Harris PA. Assessing the seasonal prevalence and risk factors for nuchal crest adiposity in domestic horses and ponies using the Cresty Neck Score.. BMC Vet Res 2015 Jan 31;11:13.
            doi: 10.1186/s12917-015-0327-7pubmed: 25636243google scholar: lookup
          40. Morrison PK, Bing C, Harris PA, Maltin CA, Grove-White D, Argo CM. Preliminary investigation into a potential role for myostatin and its receptor (ActRIIB) in lean and obese horses and ponies.. PLoS One 2014;9(11):e112621.
            doi: 10.1371/journal.pone.0112621pubmed: 25390640google scholar: lookup
          41. Lacombe VA. Expression and regulation of facilitative glucose transporters in equine insulin-sensitive tissue: from physiology to pathology.. ISRN Vet Sci 2014;2014:409547.
            doi: 10.1155/2014/409547pubmed: 24977043google scholar: lookup
          42. Ertelt A, Barton AK, Schmitz RR, Gehlen H. Metabolic syndrome: is equine disease comparable to what we know in humans?. Endocr Connect 2014 Sep;3(3):R81-93.
            doi: 10.1530/EC-14-0038pubmed: 24894908google scholar: lookup
          43. Leise BS, Watts MR, Roy S, Yilmaz AS, Alder H, Belknap JK. Use of laser capture microdissection for the assessment of equine lamellar basal epithelial cell signalling in the early stages of laminitis.. Equine Vet J 2015 Jul;47(4):478-88.
            doi: 10.1111/evj.12283pubmed: 24750316google scholar: lookup
          44. Bruynsteen L, Erkens T, Peelman LJ, Ducatelle R, Janssens GP, Harris PA, Hesta M. Expression of inflammation-related genes is associated with adipose tissue location in horses.. BMC Vet Res 2013 Dec 2;9:240.
            doi: 10.1186/1746-6148-9-240pubmed: 24295090google scholar: lookup
          45. Johnson RJ, Rivard C, Lanaspa MA, Otabachian-Smith S, Ishimoto T, Cicerchi C, Cheeke PR, Macintosh B, Hess T. Fructokinase, Fructans, Intestinal Permeability, and Metabolic Syndrome: An Equine Connection?. J Equine Vet Sci 2013 Feb;33(2):120-126.
            doi: 10.1016/j.jevs.2012.05.004pubmed: 23439477google scholar: lookup
          46. Johnson PJ, Wiedmeyer CE, LaCarrubba A, Ganjam VK, Messer NT 4th. Diabetes, insulin resistance, and metabolic syndrome in horses.. J Diabetes Sci Technol 2012 May 1;6(3):534-40.
            doi: 10.1177/193229681200600307pubmed: 22768883google scholar: lookup
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