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Frontiers in veterinary science2022; 9; 899951; doi: 10.3389/fvets.2022.899951

Investigating the Relationship Between Cardiac Function and Insulin Sensitivity in Horses: A Pilot Study.

Abstract: Metabolic syndrome in humans is commonly associated with cardiovascular dysfunction, including atrial fibrillation and left ventricular diastolic dysfunction. Although many differences exist between human and equine metabolic syndrome, both of these conditions share some degree of insulin resistance. The aims of this pilot study were to investigate the relationship between insulin sensitivity and cardiac function. Seven horses (five mares, two geldings, aged 17.2 ± 4.2 years, weight 524 ± 73 kg) underwent insulin-modified frequently sampled intravenous glucose tolerance testing to determine insulin sensitivity (mean 2.21 ± 0.03 × 10-4 L/min/mU). Standard echocardiograms were performed on each horse, including two-dimensional, M-mode, and pulse-wave tissue Doppler imaging. Pearson and Spearman correlation analyses were used to determine the association of insulin sensitivity with echocardiographic measures of cardiac function in 5 horses. Insulin sensitivity was found to be significantly correlated with peak myocardial velocity during late diastole (r = 0.89, P = 0.0419), ratio between peak myocardial velocity in early and late diastole (r = -0.92, P = 0.0263), isovolumetric relaxation time (r = -0.97, P = 0.0072), and isovolumetric contraction time (ρ = -0.90, P = 0.0374). These preliminary data suggest that decreased insulin sensitivity is correlated with alterations in both systolic and diastolic function, as measured with tissue Doppler imaging (TDI). Due to the small sample size of this study, the relationship between insulin sensitivity and myocardial function in horses requires further investigation.
Publication Date: 2022-07-08 PubMed ID: 35873691PubMed Central: PMC9305457DOI: 10.3389/fvets.2022.899951Google Scholar: Lookup
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  • Journal Article

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 article highlights the findings of a pilot study that set out to explore the relationship between insulin sensitivity and cardiac function in horses, suggesting that decreased insulin sensitivity can be linked with functions in both systolic and diastolic measurements.

Purpose and Methodology of the Study

  • The intent of this pilot study stemmed from a known connection between metabolic syndrome and cardiovascular dysfunctions in humans, with particular emphasis on atrial fibrillation and left ventricular diastolic dysfunction.
  • In the context of this comparison, it is important to note some level of insulin resistance is a common characteristic of both humans and horses when suffering from metabolic syndrome.
  • Seven horses were included in the study (five female and two male), each being approximately 17.2 years old and weighing roughly 524 kg. They all underwent insulin-modified frequently sampled intravenous glucose tolerance testing to figure out their insulin sensitivity.
  • A standard echocardiogram was carried out on each horse to observe their two-dimensional images, M-mode, and pulse-wave tissue Doppler imaging.
  • The authors used Pearson and Spearman correlation analyses to determine the potential connection of insulin sensitivity with echocardiographic measures of the horses’ heart function.

Key Findings of the Study

  • Insulin sensitivity demonstrated a considerable correlation with an array of cardiac function measures, such as peak myocardial velocity during late diastole, the ratio between peak myocardial velocity in early and late diastole, isovolumetric relaxation time, and isovolumetric contraction time.
  • From an analytical perspective, insulin sensitivity’s correlation with these measures showed strong positive values close to 1 (ranging from 0.89 to -0.97), signaling a strong correlation among the variables.
  • The study’s preliminary data suggest that in horses, like in humans, a decrease in insulin sensitivity might be associated with changes in both systolic and diastolic functions. This was measured using tissue Doppler imaging (TDI).

Implications and Future Research

  • While the data uncovered are promising, the paper acknowledges the study’s limited sample size. Consequently, it suggests more extensive research is required to assertively establish the relationship between insulin sensitivity and myocardial function in horses.
  • This implies that for a full understanding of the link between insulin sensitivity and heart function in horses, the findings need verification through a larger-scale study.
  • This initial investigation provides a valuable foundation and indicates the potential for further, more comprehensive research in the area.

Cite This Article

APA
Williams NJ, Furr M, Navas de Solis C, Campolo A, Davis M, Lacombe VA. (2022). Investigating the Relationship Between Cardiac Function and Insulin Sensitivity in Horses: A Pilot Study. Front Vet Sci, 9, 899951. https://doi.org/10.3389/fvets.2022.899951

Publication

ISSN: 2297-1769
NlmUniqueID: 101666658
Country: Switzerland
Language: English
Volume: 9
Pages: 899951

Researcher Affiliations

Williams, Natasha J
  • Department of Clinical Sciences, College of Veterinary Medicine, Oklahoma State University, Stillwater, OK, United States.
Furr, Martin
  • Department of Physiological Sciences, College of Veterinary Medicine, Oklahoma State University, Stillwater, OK, United States.
Navas de Solis, Cristobal
  • Department of Clinical Sciences, College of Veterinary Medicine & Biomedical Sciences, Texas A&M University, College Station, TX, United States.
Campolo, Allison
  • Department of Physiological Sciences, College of Veterinary Medicine, Oklahoma State University, Stillwater, OK, United States.
Davis, Michael
  • Department of Physiological Sciences, College of Veterinary Medicine, Oklahoma State University, Stillwater, OK, United States.
Lacombe, Véronique A
  • Department of Physiological Sciences, College of Veterinary Medicine, Oklahoma State University, Stillwater, OK, United States.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

References

This article includes 44 references
  1. Executive Executive. Executive summary of the third report of the national cholesterol education program (NCEP) expert panel on detection evaluation and and treatment of high blood cholesterol in adults (adult treatment panel III). JAMA (2001) 285:2486–97.
    doi: 10.1001/jama.285.19.2486pubmed: 11368702google scholar: lookup
  2. Ford ES, Giles WH. A comparison of the prevalence of the metabolic syndrome using two proposed definitions. Diabetes Care (2003) 26:575–81.
    doi: 10.2337/diacare.26.3.575pubmed: 12610004google scholar: lookup
  3. Isomaa B, Almgren P, Tuomi T, Forsén B, Lahti K, Nissén M. Cardiovascular morbidity and mortality associated with the metabolic syndrome. Diabetes Care (2001) 24:683–9.
    doi: 10.2337/diacare.24.4.683pubmed: 11315831google scholar: lookup
  4. Mazumder PK, O'Neill BT, Roberts MW, Buchanan J, Yun UJ, Cooksey RC. Impaired cardiac efficiency and increased fatty acid oxidation in insulin-resistant ob/ob mouse hearts. Diabetes (2004) 53:2366–74.
    doi: 10.2337/diabetes.53.9.2366pubmed: 15331547google scholar: lookup
  5. Gami AS, Witt BJ, Howard DE, Erwin PJ, Gami LA, Somers VK. Metabolic syndrome and risk of incident cardiovascular events and death: a systematic review and meta-analysis of longitudinal studies. J Am Coll Cardiol (2007) 49:403–14.
    doi: 10.1016/j.jacc.2006.09.032pubmed: 17258085google scholar: lookup
  6. Wong CY, O'Moore-Sullivan T, Fang ZY, Haluska B, Leano R, Marwick TH. Myocardial and vascular dysfunction and exercise capacity in the metabolic syndrome. Am J Cardiol (2005) 96:1686–91.
    doi: 10.1016/j.amjcard.2005.07.091pubmed: 16360358google scholar: lookup
  7. Mastro L, Adams A, Urschel K. Pituitary pars intermedia dysfunction does not necessarily impair insulin sensitivity in old horses. Domest Anim Endocrinol (2015) 50:14–25.
  8. Horn R, Bamford N, Afonso T, Sutherland M, Buckerfield J, Tan R. Factors associated with survival, laminitis and insulin dysregulation in horses diagnosed with equine pituitary pars intermedia dysfunction. Equine Vet J (2019) 51:440–5.
    doi: 10.1111/evj.13041pubmed: 30417404google scholar: lookup
  9. McGowan T, Pinchbeck G, McGowan C. Prevalence, risk factors and clinical signs predictive for equine pituitary pars intermedia dysfunction in aged horses. Equine Vet J (2013) 45:74–9.
  10. Durham AE, Frank N, McGowan CM, Menzies-Gow NJ, Roelfsema E, Vervuert I. ECEIM consensus statement on equine metabolic syndrome. J Vet Intern Med (2019) 33:335–49.
    doi: 10.1111/jvim.15423pmc: PMC6430910pubmed: 30724412google scholar: lookup
  11. Bailey SR, Habershon-Butcher JL, Ransom KJ, Elliott J, Menzies-Gow NJ. Hypertension and insulin resistance in a mixed-breed population of ponies pre-disposed to laminitis. Am J Vet Res (2008) 69:122–9.
    doi: 10.2460/ajvr.69.1.122pubmed: 18167097google scholar: lookup
  12. Heliczer N, Gerber V, Bruckmaier R, van der Kolk JH, de Solis CN. Cardiovascular findings in ponies with equine metabolic syndrome. J Am Vet Med Assoc (2017) 250:1027–35.
    doi: 10.2460/javma.250.9.1027pubmed: 28414603google scholar: lookup
  13. Henneke DR, Potter GD, Kreider JL, Yeates BF. Relationship between condition score, physical measurements and body fat percentage in mares. Equine Vet J (1983) 14:371–2.
  14. Carter RA, Geor RJ, Staniar WB, Cubitt TA, Harris PA. Apparent adiposity assessed by standardized scoring systems and morphometric measurements in horses and ponies. Vet J (2008) 179:204–10.
    doi: 10.1016/j.tvjl.2008.02.029pubmed: 18440844google scholar: lookup
  15. Tóth F, Frank N, Elliott SB, Perdue K, Geor RJ, Boston RC. Optimisation of the frequently sampled intravenous glucose tolerance test to reduce urinary glucose spilling in horses. Equine Vet J (2009) 41:844–51.
    doi: 10.2746/042516409X439661pubmed: 20383980google scholar: lookup
  16. Hackett ES, McCue PM. Evaluation of a veterinary glucometer for use in horses. J Vet Intern Med (2010) 24:617–21.
  17. Toth F, Frank N, Martin-Jimenez T, Elliott S, Geor R, Boston R. Measurement of C-peptide concentrations and responses to somatostatin, glucose infusion, and insulin resistance in horses. Equine Vet J (2010) 42:149–55.
    doi: 10.2746/042516409X478497pubmed: 20156251google scholar: lookup
  18. Carter RA, McCutcheon LJ, Valle E, Meilahn EN, Geor RJ. Effects of exercise training on adiposity, insulin sensitivity, and plasma hormone and lipid concentrations in overweight or obese, insulin-resistant horses. Am J Vet Res (2010) 71:314–21.
    doi: 10.2460/ajvr.71.3.314pubmed: 20187833google scholar: lookup
  19. 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) 24:932–9.
  20. Dunbar L, Mielnicki K, Dembek K, Toribio R, Burns T. Evaluation of four diagnostic tests for insulin dysregulation in adult light-breed horses. J Vet Intern Med (2016) 30:885–91.
    doi: 10.1111/jvim.13934pmc: PMC4913564pubmed: 27013065google scholar: lookup
  21. Frank N, Geor RJ, Bailey S, Durham A, Johnson P. Equine metabolic syndrome. J Vet Intern Med (2010) 24:467–75.
  22. Koenig TR, Mitchell KJ, Schwarzwald CC. Echocardiographic assessment of left ventricular function in healthy horses and in horses with heart disease using pulsed-wave tissue doppler imaging. J Vet Intern Med (2017) 31:556–67.
    doi: 10.1111/jvim.14641pmc: PMC5354014pubmed: 28109132google scholar: lookup
  23. Navas de Solis C, Slack J, Boston RC, Reef VB. Hypertensive cardiomyopathy in horses: 5 cases (1995–2011). J Am Vet Med Assoc (2013) 243:126–30.
    doi: 10.2460/javma.243.1.126pubmed: 23786201google scholar: lookup
  24. Brown S, Atkins C, Bagley R, Carr A, Cowgill M, Davidson M. Guidelines for the identification, evaluation, and management of systemic hypertension in dogs and cats. J Vet Intern Med (2007) 21:542–58.
  25. Truelsen Lindåse S, Nostell K, Bergsten P, Forslund A, Bröjer J. Evaluation of fasting plasma insulin and proxy measurements to assess insulin sensitivity in horses. BMC Vet Res (2021) 17:78.
    doi: 10.1186/s12917-021-02781-5pmc: PMC7885592pubmed: 33588833google scholar: lookup
  26. Tinworth KD, Wynn PC, Boston RC, Harris PA, Sillence MN, Thevis M. Evaluation of commercially available assays for the measurement of equine insulin. Domest Anim Endocrinol (2011) 41:81–90.
  27. Carslake HB, Pinchbeck GL, McGowan CM. Evaluation of a chemiluminescent immunoassay for measurement of equine insulin. J Vet Intern Med (2017) 31:568–74.
    doi: 10.1111/jvim.14657pmc: PMC5354037pubmed: 28124389google scholar: lookup
  28. Warnken T, Huber K, Feige K. Comparison of three different methods for the quantification of equine insulin. BMC Vet Res (2016) 12:196.
    doi: 10.1186/s12917-016-0828-zpmc: PMC5016943pubmed: 27613127google scholar: lookup
  29. Banse HE, McCann J, Yang F, Wagg C, McFarlane D. Comparison of two methods for measurement of equine insulin. J Vet Diagn Invest (2014) 26:527–30.
    doi: 10.1177/1040638714536560pubmed: 24928598google scholar: lookup
  30. Borer-Weir KE, Bailey SR, Menzies-Gow NJ, Harris PA, Elliott J. Evaluation of a commercially available radioimmunoassay and species-specific ELISAs for measurement of high concentrations of insulin in equine serum. Am J Vet Res (2012) 73:1596–602.
    doi: 10.2460/ajvr.73.10.1596pubmed: 23013186google scholar: lookup
  31. Pratt SE, Geor RJ, McCutcheon LJ. Repeatability of 2 methods for assessment of insulin sensitivity and glucose dynamics in horses. J Vet Intern Med (2005) 19:883–8.
  32. Pratt-Phillips SE, Geor RJ, McCutcheon LJ. Comparison among the euglycemic-hyperinsulinemic clamp, insulin-modified frequently sampled intravenous glucose tolerance test, and oral glucose tolerance test for assessment of insulin sensitivity in healthy standardbreds. Am J Vet Res (2015) 76:84–91.
    doi: 10.2460/ajvr.76.1.84pubmed: 25535665google scholar: lookup
  33. Bertin F-R, De Laat M. The diagnosis of equine insulin dysregulation. Equine Vet J (2017) 49:570–6.
    doi: 10.1111/evj.12703pubmed: 28543410google scholar: lookup
  34. D'Fonseca NM, Beukers M, Wijnberg ID, Navas de Solis C, de Ruijter-Villani M, van Doorn DA. Effect of a long-term high-energy diet on cardiovascular parameters in Shetland pony mares. J Vet Intern Med (2021) 35:2427–36.
    doi: 10.1111/jvim.16229pmc: PMC8478035pubmed: 34350640google scholar: lookup
  35. Grandi AM, Maresca AM, Giudici E, Laurita E, Marchesi C, Solbiati F. Metabolic syndrome and morphofunctional characteristics of the left ventricle in clinically hypertensive non-diabetic subjects. Am J Hypertens (2006) 19:199–205.
  36. De las Fuentes L, Brown AL, Mathews SJ, Waggoner AD, Soto PF, Gropler RJ. Metabolic syndrome is associated with abnormal left ventricular diastolic function independent of left ventricular mass. Eur Heart J (2007) 28:553–9.
    doi: 10.1093/eurheartj/ehl526pubmed: 17311827google scholar: lookup
  37. Almeida AL, Teixido-Tura G, Choi E-Y, Opdahl A, Fernandes VRS, Wu CO. Metabolic syndrome, strain, and reduced myocardial function: multi-ethnic study of atherosclerosis. Arq Bras Cardiol (2014) 102:327–35.
    doi: 10.5935/abc.20140040pmc: PMC4028951pubmed: 24844874google scholar: lookup
  38. Nagueh SF, Smiseth OA, Appleton CP, Byrd BF, Dokainish H, Edvardsen T. Recommendations for the evaluation of left ventricular diastolic function by echocardiography: an update from the American Society of Echocardiography and the European Association of Cardiovascular Imaging. Eur J Echocardiogr (2016) 17:1321–60.
    pubmed: 27422899
  39. Blissitt KJ, Bonagura J. Pulsed wave doppler echocardiography in normal horses. Equine Vet J (1995) 27:38–46.
  40. Gong HP, Tan HW, Fang NN, Song T, Li SH, Zhong M. Impaired left ventricular systolic and diastolic function in patients with metabolic syndrome as assessed by strain and strain rate imaging. Diabetes Res Clin Pract (2009) 83:300–7.
    doi: 10.1016/j.diabres.2008.10.018pubmed: 19167773google scholar: lookup
  41. Kadappu KK, Thomas L. Tissue doppler imaging in echocardiography: value and limitations. Heart Lung Circ (2015) 24:224–33.
    doi: 10.1016/j.hlc.2014.10.003pubmed: 25465516google scholar: lookup
  42. Decloedt A, Verheyen T, Sys S, De Clercq D, van Loon G. Tissue doppler imaging and 2-dimensional speckle tracking of left ventricular function in horses exposed to lasalocid. J Vet Intern Med (2012) 26:1209–16.
  43. Schefer K, Hagen R, Ringer S, Schwarzwald C. Laboratory, electrocardiographic, and echocardiographic detection of myocardial damage and dysfunction in an Arabian mare with nutritional masseter myodegeneration. J Vet Intern Med (2011) 25:1171–80.
  44. Verheyen T, Decloedt A, De Clercq D, van Loon G. Cardiac changes in horses with atypical myopathy. J Vet Intern Med (2012) 26:1019–26.