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Home / Equine Research Bank / PLoS One / The cresty neck score is an independent predictor of insulin...
PloS one2019; 14(7); e0220203; doi: 10.1371/journal.pone.0220203

The cresty neck score is an independent predictor of insulin dysregulation in ponies.

Abstract: Generalized obesity, regional adiposity, hyperinsulinemia and hypertriglyceridemia are all potential indicators of equine metabolic syndrome (EMS). This study aimed to assess the relationship between morphometric measurements of body condition and metabolic hormone concentrations in ponies, with and without a neck crest or generalised obesity. Twenty-six ponies were assigned a body condition score (BCS) and cresty neck score (CNS). Height, girth, and neck measurements were taken. An oral glucose test (OGT; 0.75g dextrose/kg BW) was performed and blood samples collected prior to and 2 hours post dosing. Basal blood samples were analysed for blood glucose, serum insulin, triglyceride and leptin, and plasma HMW adiponectin concentrations. Post-prandial samples were analysed for serum insulin concentration. The ponies were grouped as having a) a normal to fleshy body status (BCS ≤7 and CNS ≤2; n = 10); b) having a high CNS, but without generalised obesity (BCS ≤7 and CNS ≥3; n = 11), or c) being obese (BCS ≥8 and CNS ≥1; n = 5). Responses to the OGT indicated that both normal and insulin-dysregulated ponies were included in the cohort. Post-prandial serum insulin was positively associated with CNS (P<0.035) and ponies with a CNS ≥ 3 had 5 times greater odds of being insulin-dysregulated. The high CNS group had a greater insulin response to the OGT than those in the normal/fleshy group (P = 0.006), whereas obese ponies did not differ from the other two groups. Basal HMW adiponectin was negatively correlated with post-prandial insulin concentrations (r = -0.5, P = 0.009), as well as being decreased in the group with a high CNS, compared to the obese group (P = 0.05). Cresty neck score was more predictive of insulin dysregulation than BCS, and this may be relevant to the diagnosis of EMS. Adiponectin may also be a measure of insulin dysregulation that is independent of body condition.
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Publication Date: 2019-07-24 PubMed ID: 31339945PubMed Central: PMC6655749DOI: 10.1371/journal.pone.0220203Google Scholar: Lookup
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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 focuses on the role of the cresty neck score (CNS) as a predictor of insulin dysregulation in ponies. The study investigates how changes in a pony’s CNS can indicate the presence of equine metabolic syndrome (EMS), which the researchers identify based on the pony’s body condition and hormonal levels.

Study Design and Methodology

  • Twenty-six ponies were used in this study, and each one was evaluated based on both body condition score (BCS) and cresty neck score (CNS).
  • The ponies’ heights, girths, and neck measurements were also recorded.
  • An oral glucose test was conducted, with blood samples taken before and after.
  • The basal blood samples were analyzed for levels of blood glucose, serum insulin, triglyceride and leptin, and plasma HMW adiponectin concentrations.
  • The samples collected after the glucose test were analyzed for serum insulin concentration.

Classification of Ponies

  • The ponies were classified into three groups based on their BCS and CNS: normal to fleshy body status (BCS ≤7 and CNS ≤2), high CNS but not generally obese (BCS ≤7 and CNS ≥3), and obese (BCS ≥8 and CNS ≥1).

Findings and Analysis

  • The study found that the ponies that had a high CNS had a greater insulin response to the OGT than ponies in the normal/fleshy category.
  • Interestingly, the obese ponies did not show a difference from the other two groups in terms of insulin response.
  • Further, ponies with a CNS score greater than or equal to 3 had five times the odds of being identified as insulin-dysregulated.
  • It was also found that higher basal HMW adiponectin concentration correlated negatively with insulin concentrations post-glucose ingestion. This means the higher the basal HMW adiponectin concentration, the lower the insulin concentration post-glucose ingestion.
  • Ponies with a high CNS score had lower HMW adiponectin concentrations compared to obese ponies.

Key Implications

  • The study concluded that the CNS is a more efficient determinant of insulin dysregulation than the BCS. This presents an opportunity for early diagnosis of EMS in ponies.
  • Adiponectin was identified as a potential measure of insulin dysregulation, and it could be used as a marker for this condition, regardless of the pony’s overall body condition.

Cite This Article

APA
Fitzgerald DM, Anderson ST, Sillence MN, de Laat MA. (2019). The cresty neck score is an independent predictor of insulin dysregulation in ponies. PLoS One, 14(7), e0220203. https://doi.org/10.1371/journal.pone.0220203

Publication

PloS one
ISSN: 1932-6203
NlmUniqueID: 101285081
Country: United States
Language: English
Volume: 14
Issue: 7
Pages: e0220203
PII: e0220203

Researcher Affiliations

Fitzgerald, Danielle M
  • Earth, Environmental and Biological Sciences School, Queensland University of Technology, Brisbane, Queensland, Australia.
Anderson, Stephen T
  • School of Biomedical Sciences, The University of Queensland, St Lucia, Queensland, Australia.
Sillence, Martin N
  • Earth, Environmental and Biological Sciences School, Queensland University of Technology, Brisbane, Queensland, Australia.
de Laat, Melody A
  • Earth, Environmental and Biological Sciences School, Queensland University of Technology, Brisbane, Queensland, Australia.

MeSH Terms

  • Anatomy, Veterinary / methods
  • Animals
  • Biomarkers / analysis
  • Body Weights and Measures / methods
  • Body Weights and Measures / veterinary
  • Female
  • Horse Diseases / diagnosis
  • Horse Diseases / metabolism
  • Horse Diseases / pathology
  • Horses / anatomy & histology
  • Insulin / metabolism
  • Insulin Resistance
  • Male
  • Metabolic Syndrome / diagnosis
  • Metabolic Syndrome / metabolism
  • Metabolic Syndrome / pathology
  • Metabolic Syndrome / veterinary
  • Neck / anatomy & histology
  • Neck / pathology
  • Prognosis
  • Research Design

Conflict of Interest Statement

The authors have declared that no competing interests exist.

References

This article includes 51 references
  1. Frank N. Equine metabolic syndrome.. Vet Clin North Am Equine Pract 2011 Apr;27(1):73-92.
    pubmed: 21392655doi: 10.1016/j.cveq.2010.12.004google scholar: lookup
  2. Jaqueth AL, Iwaniuk ME, Burk AO. Characterization of the Prevalence and Management of Over-Conditioned Ponies and Horses in Maryland.. J Equine Vet Sci 2018 Sep;68:26-32.
    doi: 10.1016/j.jevs.2018.02.007pubmed: 31256884google scholar: lookup
  3. Durham AE, Frank N, McGowan CM, Menzies-Gow NJ, Roelfsema E, Vervuert I. ECEIM consensus statement on equine metabolic syndrome. Journal of veterinary internal medicine / American College of Veterinary Internal Medicine 2019.
  4. Carter RA, Geor RJ, Burton Staniar W, Cubitt TA, Harris PA. Apparent adiposity assessed by standardised scoring systems and morphometric measurements in horses and ponies.. Vet J 2009 Feb;179(2):204-10.
    pubmed: 18440844doi: 10.1016/j.tvjl.2008.02.029google scholar: lookup
  5. Carter RA, Treiber KH, Geor RJ, Douglass L, Harris PA. Prediction of incipient pasture-associated laminitis from hyperinsulinaemia, hyperleptinaemia and generalised and localised obesity in a cohort of ponies.. Equine Vet J 2009 Feb;41(2):171-8.
    pubmed: 19418747doi: 10.2746/042516408x342975google scholar: lookup
  6. 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/s12917-015-0327-7pmc: PMC4347557pubmed: 25636243google scholar: lookup
  7. Treiber KH, Kronfeld DS, Hess TM, Byrd BM, Splan RK, Staniar WB. Evaluation of genetic and metabolic predispositions and nutritional risk factors for pasture-associated laminitis in ponies.. J Am Vet Med Assoc 2006 May 15;228(10):1538-45.
    doi: 10.2460/javma.228.10.1538pubmed: 16677122google scholar: lookup
  8. Henneke DR, Potter GD, Kreider JL, Yeates BF. Relationship between condition score, physical measurements and body fat percentage in mares.. Equine Vet J 1983 Oct;15(4):371-2.
    pubmed: 6641685doi: 10.1111/j.2042-3306.1983.tb01826.xgoogle scholar: lookup
  9. Dugdale AH, Curtis GC, Harris PA, Argo CM. Assessment of body fat in the pony: part I. Relationships between the anatomical distribution of adipose tissue, body composition and body condition.. Equine Vet J 2011 Sep;43(5):552-61.
    doi: 10.1111/j.2042-3306.2010.00330.xpubmed: 21496091google scholar: lookup
  10. Pollard D, Wylie CE, Verheyen KLP, Newton JR. Assessment of horse owners' ability to recognise equine laminitis: A cross-sectional study of 93 veterinary diagnosed cases in Great Britain.. Equine Vet J 2017 Nov;49(6):759-766.
    doi: 10.1111/evj.12704pubmed: 28543943google scholar: lookup
  11. Stephenson HM, Green MJ, Freeman SL. Prevalence of obesity in a population of horses in the UK.. Vet Rec 2011 Feb 5;168(5):131.
    pubmed: 21257596doi: 10.1136/vr.c6281google scholar: lookup
  12. Wyse CA, McNie KA, Tannahill VJ, Murray JK, Love S. Prevalence of obesity in riding horses in Scotland.. Vet Rec 2008 May 3;162(18):590-1.
    doi: 10.1136/vr.162.18.590pubmed: 18453379google scholar: lookup
  13. 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.
    pmc: PMC6042766pubmed: 30001422doi: 10.1371/journal.pone.0200583google scholar: lookup
  14. Silva SR, Payan-Carreira R, Guedes CM, Coelho S, Santos AS. Correlations between cresty neck scores and post-mortem nape fat measurements in horses, obtained after photographic image analysis.. Acta Vet Scand 2016 Oct 20;58(Suppl 1):60.
    doi: 10.1186/s13028-016-0241-4pmc: PMC5073977pubmed: 27766984google scholar: lookup
  15. Coelho M, Oliveira T, Fernandes R. Biochemistry of adipose tissue: an endocrine organ.. Arch Med Sci 2013 Apr 20;9(2):191-200.
    doi: 10.5114/aoms.2013.33181pmc: PMC3648822pubmed: 23671428google scholar: lookup
  16. Buff PR, Dodds AC, Morrison CD, Whitley NC, McFadin EL, Daniel JA, Djiane J, Keisler DH. Leptin in horses: tissue localization and relationship between peripheral concentrations of leptin and body condition.. J Anim Sci 2002 Nov;80(11):2942-8.
    doi: 10.2527/2002.80112942xpubmed: 12462262google scholar: lookup
  17. Caltabilota TJ, Earl LR, Thompson DL Jr, Clavier SE, Mitcham PB. Hyperleptinemia in mares and geldings: assessment of insulin sensitivity from glucose responses to insulin injection.. J Anim Sci 2010 Sep;88(9):2940-9.
    doi: 10.2527/jas.2010-2879pubmed: 20495126google scholar: lookup
  18. Elzinga S, Wood P, Adams AA. Plasma Lipidomic and Inflammatory Cytokine Profiles of Horses With Equine Metabolic Syndrome. Journal of Equine Veterinary Science 2016;40:49–55.
  19. Wray H, Elliott J, Bailey SR, Harris PA, Menzies-Gow NJ. Plasma concentrations of inflammatory markers in previously laminitic ponies.. Equine Vet J 2013 Sep;45(5):546-51.
    doi: 10.1111/evj.12031pubmed: 23418944google scholar: lookup
  20. Bamford NJ, Potter SJ, Harris PA, Bailey SR. Effect of increased adiposity on insulin sensitivity and adipokine concentrations in horses and ponies fed a high fat diet, with or without a once daily high glycaemic meal.. Equine Vet J 2016 May;48(3):368-73.
    doi: 10.1111/evj.12434pubmed: 25726948google scholar: lookup
  21. Kim JY, Tfayli H, Michaliszyn SF, Lee S, Arslanian S. Distinguishing characteristics of metabolically healthy versus metabolically unhealthy obese adolescent girls with polycystic ovary syndrome.. Fertil Steril 2016 Jun;105(6):1603-11.
    doi: 10.1016/j.fertnstert.2016.02.004pmc: PMC4893886pubmed: 26921624google scholar: lookup
  22. Han SJ, Boyko EJ, Fujimoto WY, Kahn SE, Leonetti DL. Low Plasma Adiponectin Concentrations Predict Increases in Visceral Adiposity and Insulin Resistance.. J Clin Endocrinol Metab 2017 Dec 1;102(12):4626-4633.
    doi: 10.1210/jc.2017-01703pmc: PMC5718705pubmed: 29029184google scholar: lookup
  23. Saito T, Murata M, Otani T, Tamemoto H, Kawakami M, Ishikawa SE. Association of subcutaneous and visceral fat mass with serum concentrations of adipokines in subjects with type 2 diabetes mellitus.. Endocr J 2012;59(1):39-45.
    pubmed: 22019947doi: 10.1507/endocrj.ej11-0132google scholar: lookup
  24. Ding C, Chan Z, Chooi YC, Choo J, Sadananthan SA, Michael N, Velan SS, Leow MKS, Magkos F. Visceral adipose tissue tracks more closely with metabolic dysfunction than intrahepatic triglyceride in lean Asians without diabetes.. J Appl Physiol (1985) 2018 Sep 1;125(3):909-915.
    pubmed: 29745794doi: 10.1152/japplphysiol.00250.2018google scholar: lookup
  25. Bamford NJ, Potter SJ, Baskerville CL, Harris PA, Bailey SR. Effect of increased adiposity on insulin sensitivity and adipokine concentrations in different equine breeds adapted to cereal-rich or fat-rich meals.. Vet J 2016 Aug;214:14-20.
    pubmed: 27387720doi: 10.1016/j.tvjl.2016.02.002google scholar: lookup
  26. Potter SJ, Bamford NJ, Harris PA, Bailey SR. Prevalence of obesity and owners' perceptions of body condition in pleasure horses and ponies in south-eastern Australia.. Aust Vet J 2016 Nov;94(11):427-432.
    doi: 10.1111/avj.12506pubmed: 27785793google scholar: lookup
  27. de Laat MA, Sillence MN. The repeatability of an oral glucose test in ponies.. Equine Vet J 2017 Mar;49(2):238-243.
    doi: 10.1111/evj.12579pubmed: 27038020google scholar: lookup
  28. Meier AD, de Laat MA, Reiche DB, Pollitt CC, Walsh DM, McGree JM, Sillence MN. The oral glucose test predicts laminitis risk in ponies fed a diet high in nonstructural carbohydrates.. Domest Anim Endocrinol 2018 Apr;63:1-9.
    doi: 10.1016/j.domaniend.2017.10.008pubmed: 29172109google scholar: lookup
  29. Wooldridge AA, Edwards HG, Plaisance EP, Applegate R, Taylor DR, Taintor J, Zhong Q, Judd RL. Evaluation of high-molecular weight adiponectin in horses.. Am J Vet Res 2012 Aug;73(8):1230-40.
    doi: 10.2460/ajvr.73.8.1230pubmed: 22849684google scholar: lookup
  30. Menzies-Gow NJ, Knowles EJ, Rogers I, Rendle DI. Validity and application of immunoturbidimetric and enzyme-linked immunosorbent assays for the measurement of adiponectin concentration in ponies.. Equine Vet J 2019 Jan;51(1):33-37.
    pubmed: 29679396doi: 10.1111/evj.12960google scholar: lookup
  31. 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.14657pmc: PMC5354037pubmed: 28124389google scholar: lookup
  32. Banse HE, Holbrook TC, Frank N, McFarlane D. Relationship of skeletal muscle inflammation with obesity and obesity-associated hyperinsulinemia in horses.. Can J Vet Res 2016 Jul;80(3):217-24.
    pmc: PMC4924556pubmed: 27408335
  33. Carter RA, McCutcheon LJ, George LA, Smith TL, Frank N, Geor RJ. Effects of diet-induced weight gain on insulin sensitivity and plasma hormone and lipid concentrations in horses.. Am J Vet Res 2009 Oct;70(10):1250-8.
    doi: 10.2460/ajvr.70.10.1250pubmed: 19795940google scholar: lookup
  34. Yatagai T, Nagasaka S, Taniguchi A, Fukushima M, Nakamura T, Kuroe A, Nakai Y, Ishibashi S. Hypoadiponectinemia is associated with visceral fat accumulation and insulin resistance in Japanese men with type 2 diabetes mellitus.. Metabolism 2003 Oct;52(10):1274-8.
    pubmed: 14564678doi: 10.1016/s0026-0495(03)00195-1google scholar: lookup
  35. Burns TA, Geor RJ, Mudge MC, McCutcheon LJ, Hinchcliff KW, Belknap JK. Proinflammatory cytokine and chemokine gene expression profiles in subcutaneous and visceral adipose tissue depots of insulin-resistant and insulin-sensitive light breed horses.. J Vet Intern Med 2010 Jul-Aug;24(4):932-9.
    pubmed: 20649750doi: 10.1111/j.1939-1676.2010.0551.xgoogle scholar: lookup
  36. Potter SJ, Harris PA, Bailey SR. Derivation of a new body condition index to estimate body fat percentage from morphometric measurements: Comparison with body condition score. Journal of Equine Veterinary Science 2015;35(5):410–1.
  37. Martin-Gimenez T, de Blas I, Aguilera-Tejero E, Diez de Castro E, Aguirre-Pascasio CN. Endocrine, morphometric, and ultrasonographic characterization of neck adiposity in Andalusian horses.. Domest Anim Endocrinol 2016 Jul;56:57-62.
    doi: 10.1016/j.domaniend.2016.02.003pubmed: 27088603google scholar: lookup
  38. Liu M, Liu F. Regulation of adiponectin multimerization, signaling and function.. Best Pract Res Clin Endocrinol Metab 2014 Jan;28(1):25-31.
    pmc: PMC3893790pubmed: 24417943doi: 10.1016/j.beem.2013.06.003google scholar: lookup
  39. Ungru J, Blüher M, Coenen M, Raila J, Boston R, Vervuert I. Effects of body weight reduction on blood adipokines and subcutaneous adipose tissue adipokine mRNA expression profiles in obese ponies.. Vet Rec 2012 Nov 24;171(21):528.
    doi: 10.1136/vr.100911pubmed: 23042851google scholar: lookup
  40. Okada Y, Kobayashi M, Sawamura M, Arai T. Comparison of Visceral Fat Accumulation and Metabolome Markers among Cats of Varying BCS and Novel Classification of Feline Obesity and Metabolic Syndrome.. Front Vet Sci 2017;4:17.
    doi: 10.3389/fvets.2017.00017pmc: PMC5306360pubmed: 28261588google scholar: lookup
  41. Coradini M, Rand JS, Morton JM, Arai T, Ishioka K, Rawlings JM. Fat mass, and not diet, has a large effect on postprandial leptin but not on adiponectin concentrations in cats.. Domest Anim Endocrinol 2013 Aug;45(2):79-88.
    doi: 10.1016/j.domaniend.2013.06.001pubmed: 23827214google scholar: lookup
  42. Frank N, Geor RJ, Bailey SR, Durham AE, Johnson PJ. Equine metabolic syndrome.. J Vet Intern Med 2010 May-Jun;24(3):467-75.
    doi: 10.1111/j.1939-1676.2010.0503.xpubmed: 20384947google scholar: lookup
  43. Pleasant RS, Suagee JK, Thatcher CD, Elvinger F, Geor RJ. Adiposity, plasma insulin, leptin, lipids, and oxidative stress in mature light breed horses.. J Vet Intern Med 2013 May-Jun;27(3):576-82.
    doi: 10.1111/jvim.12056pubmed: 23517373google scholar: lookup
  44. Reynolds A, Keen JA, Fordham T, Morgan RA. Adipose tissue dysfunction in obese horses with equine metabolic syndrome.. Equine Vet J 2019 Nov;51(6):760-766.
    doi: 10.1111/evj.13097pmc: PMC6850304pubmed: 30866087google scholar: lookup
  45. Gupta A, Beg M, Kumar D, Shankar K, Varshney S, Rajan S, Srivastava A, Singh K, Sonkar S, Mahdi AA, Dikshit M, Gaikwad AN. Chronic hyper-leptinemia induces insulin signaling disruption in adipocytes: Implications of NOS2.. Free Radic Biol Med 2017 Nov;112:93-108.
    pubmed: 28739528doi: 10.1016/j.freeradbiomed.2017.07.016google scholar: lookup
  46. Bruynsteen L, Janssens GP, Harris PA, Duchateau L, Valle E, Odetti P, Vandevelde K, Buyse J, Hesta M. Changes in oxidative stress in response to different levels of energy restriction in obese ponies.. Br J Nutr 2014 Oct 28;112(8):1402-11.
    doi: 10.1017/S0007114514001974pubmed: 25181634google scholar: lookup
  47. Suagee JK, Corl BA, Hulver MW, McCutcheon LJ, Geor RJ. Effects of hyperinsulinemia on glucose and lipid transporter expression in insulin-sensitive horses.. Domest Anim Endocrinol 2011 Apr;40(3):173-81.
    doi: 10.1016/j.domaniend.2010.11.002pubmed: 21292427google scholar: lookup
  48. Taniguchi A, Nakai Y, Sakai M, Yoshii S, Hamanaka D, Hatae Y, Kawata M, Yamanouchi K, Okumura T, Doi K, Tokuyama K, Nagasaka S, Fukushima M. Relationship of regional adiposity to insulin resistance and serum triglyceride levels in nonobese Japanese type 2 diabetic patients.. Metabolism 2002 May;51(5):544-8.
    pubmed: 11979383doi: 10.1053/meta.2002.31984google scholar: lookup
  49. Giles SL, Rands SA, Nicol CJ, Harris PA. Obesity prevalence and associated risk factors in outdoor living domestic horses and ponies.. PeerJ 2014;2:e299.
    pmc: PMC3970797pubmed: 24711963doi: 10.7717/peerj.299google scholar: lookup
  50. Argo CM, Curtis GC, Grove-White D, Dugdale AH, Barfoot CF, Harris PA. Weight loss resistance: a further consideration for the nutritional management of obese Equidae.. Vet J 2012 Nov;194(2):179-88.
    pubmed: 23117030doi: 10.1016/j.tvjl.2012.09.020google scholar: lookup
  51. Thatcher CD, Pleasant RS, Geor RJ, Elvinger F. Prevalence of overconditioning in mature horses in southwest Virginia during the summer.. J Vet Intern Med 2012 Nov-Dec;26(6):1413-8.
    pubmed: 22946995doi: 10.1111/j.1939-1676.2012.00995.xgoogle scholar: lookup

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  1. 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
  2. Clark BL, Bamford NJ, Stewart AJ, McCue ME, Rendahl A, Bailey SR, Bertin FR, Norton EM. Evaluation of an HMGA2 variant contribution to height and basal insulin concentrations in ponies. J Vet Intern Med 2023 May-Jun;37(3):1186-1192.
    doi: 10.1111/jvim.16723pubmed: 37148171google scholar: lookup
  3. Go YY, Hazard NW, Balasuriya UBR, Chapman AM, Fitton NS, Kenéz Á, Andrews FM. Clinical evaluation of the Immulite® 1000 chemiluminescent immunoassay for measurement of equine serum insulin. Front Vet Sci 2023;10:1018230.
    doi: 10.3389/fvets.2023.1018230pubmed: 37051514google scholar: lookup
  4. Kellon EM, Gustafson KM. Hypertriglyceridemia in equines with refractory hyperinsulinemia treated with SGLT2 inhibitors. Open Vet J 2023 Mar;13(3):365-375.
    doi: 10.5455/OVJ.2023.v13.i3.14pubmed: 37026076google scholar: lookup
  5. de Laat MA, Warnken T, Delarocque J, Reiche DB, Grob AJ, Feige K, Carslake HB, Durham AE, Sillence MN, Thane KE, Frank N, Brojer J, Lindase S, Sonntag J. Carbohydrate pellets to assess insulin dysregulation in horses. J Vet Intern Med 2023 Jan;37(1):302-314.
    doi: 10.1111/jvim.16621pubmed: 36583553google scholar: lookup
  6. Busechian S, Turini L, Sgorbini M, Pieramati C, Pisello L, Orvieto S, Rueca F. Are Horse Owners Able to Estimate Their Animals' Body Condition Score and Cresty Neck Score?. Vet Sci 2022 Oct 3;9(10).
    doi: 10.3390/vetsci9100544pubmed: 36288157google scholar: lookup
  7. 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
  8. Karikoski NP, Box JR, Mykkänen AK, Kotiranta VV, Raekallio MR. Variation in insulin response to oral sugar test in a cohort of horses throughout the year and evaluation of risk factors for insulin dysregulation. Equine Vet J 2022 Sep;54(5):905-913.
    doi: 10.1111/evj.13529pubmed: 34713928google scholar: lookup
  9. Meier A, McGree J, Klee R, Preuß J, Reiche D, de Laat M, Sillence M. The application of a new laminitis scoring method to model the rate and pattern of improvement from equine endocrinopathic laminitis in a clinical setting. BMC Vet Res 2021 Jan 7;17(1):16.
    doi: 10.1186/s12917-020-02715-7pubmed: 33413384google scholar: lookup
  10. 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
  11. Box JR, McGowan CM, Raekallio MR, Mykkänen AK, Carslake H, Karikoski NP. Insulin dysregulation in a population of Finnhorses and associated phenotypic markers of obesity. J Vet Intern Med 2020 Jul;34(4):1599-1605.
    doi: 10.1111/jvim.15782pubmed: 32557899google scholar: lookup
  12. Espinosa-López EM, Ortiz-Guisado B, Diez de Castro E, Durham A, Aguilera-Tejero E, Gómez-Baena G. Quantitative proteomics unveils potential plasma biomarkers and provides insights into the pathophysiological mechanisms underlying equine metabolic syndrome. BMC Vet Res 2025 Jul 2;21(1):425.
    doi: 10.1186/s12917-025-04879-6pubmed: 40604814google scholar: lookup
  13. Al-Ansari AS, Duggan V, Mulcahy G, Yin X, Brennan L, Cotter PD, Patel SH, O'Donovan CM, Crispie F, Walshe N. Faecal microbiota and serum metabolome association with equine metabolic syndrome in connemara ponies. BMC Vet Res 2025 Jul 1;21(1):411.
    doi: 10.1186/s12917-025-04853-2pubmed: 40598279google scholar: lookup
  14. Barnabé MA, Elliott J, Harris PA, Menzies-Gow NJ. Effects of pasture consumption and obesity on insulin dysregulation and adiponectin concentrations in UK native-breed ponies. Equine Vet J 2026 Jan;58(1):243-255.
    doi: 10.1111/evj.14507pubmed: 40257424google scholar: lookup
  15. Vaughn SA, Lemons MB, Hart KA. The Effect of Season and Breed on Hypothalamic-Pituitary-Adrenal Axis Hormones, Metabolic Hormones, and Oxidative Markers in Ponies and Horses. J Vet Intern Med 2025 Mar-Apr;39(2):e70047.
    doi: 10.1111/jvim.70047pubmed: 40048369google scholar: lookup
  16. Omidi A, Rasooli A, Nazifi S, Heydari A, Seirafinia M. Relationship between morphometric measurements and blood parameters in horses with varying adiposity levels and physiological conditions. Vet Med Sci 2024 Nov;10(6):e70024.
    doi: 10.1002/vms3.70024pubmed: 39381916google scholar: lookup
  17. McDonald S, Harley JJ, Hockenhull J. A comparison of the welfare of free-ranging native pony herds on common land with those used for conservation grazing in the UK. Anim Welf 2024;33:e30.
    doi: 10.1017/awf.2024.35pubmed: 39315352google scholar: lookup
  18. Menzies-Gow NJ, Knowles EJ. Sodium-glucose transport protein 2 inhibitor use in the management of insulin dysregulation in ponies and horses. J Vet Pharmacol Ther 2025 Jan;48 Suppl 1(Suppl 1):31-40.
    doi: 10.1111/jvp.13470pubmed: 38984777google scholar: lookup
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