Investigations of insulin resistance in obese dogs

Year 2024, Volume: 9 Issue: 3, 364 - 370, 31.12.2024

Ecenur Esra Sarikaya , Halil İbrahim Gökçe

https://doi.org/10.24880/meditvetj.1611164

Abstract

The aim of the study was to investigate insulin resistance in overweight and obese dogs. Obesity is excessive fat accumulation in the body and is defined as being 30% above the ideal body weight. In the study, a total of 30 dogs were divided into 3 equal groups: ideal weight, overweight and obese. Fasting serum samples were collected and used to measure insulin (INS) and asprosin (ASP) levels using dog-specific ELISA kits. Glucose (GLU) and fructosamine (FRU) were also determined using biochemistry analyzer and Idexx test kits, respectively. HOMA-IR (homeostasis model assessment of insulin resistance), HOMA-β% (homeostasis model assessment of β cell function) and insulin-glucose ratio (IGR) were calculated using glucose and insulin values. In the study, ASP (p<0.05), INS (p<0.05), HOMA-β (p<0.05) and IGR (p<0.05) values of both overweight and obese dogs were higher than the ideal weight group. Very strong correlations were detected between INS and HOMA-IR (p<0.01), HOMA-β (p<0.01), IGR (p<0.01) in both groups. It was determined that insulin resistance developed in 60% of overweight dogs and 90% of obese dogs. It is thought that HOMA-IR, HOMA-β, IGR, INS, FRU and ASP can be used in the evaluation of insulin resistance in obese dogs.

Keywords

Dog, insulin resistance, obese, overwight

References

• Buishand, F.O., & Kirpensteijn, J. (2023). Canine and feline insulinoma. In: E. Monnet (Ed.). Small Animal Soft Tissue Surgery, (2nd ed., pp.785-797). Balckwell Publishing.
• Chissini R.B.C., Kuschnir, M.C., Oliveira, C.L., Giannini, D.T. & Santos, B. (2020). Cut-off values for HOMA-IR associated with metabolic syndrome in the Study of Cardiovascular Risk in Adolescents (ERICA Study). Nutrition, 71, 1-5. https://doi.org/10.1016/j.nut.2019.110608
• Chun, J.L., Bang, H.T., Ji , S.Y., Jeong, J.Y., Kim, M., Kim, B., Lee, S.D., Lee, Y.K., Reddy, K.E., & Kim, K.Y. (2019). A simple method to evaluate body condition score to maintain the optimal body weight in dogs. Journal of Animal Science and Technology., 61(6), 366-37. https://doi.org/10.5187/jast.2019.61.6.366
• Duerrschmid, C., He, Y., Wang, C., Li, C., Bournat, J.C., Romere, C., Saha, P.K, Lee, M.E., Phillips, K.J, Jain, M., Jia, P., Zhao, Z., Farias, M., Wu, Q., Milewicz, D.M., Sutton, V.R., Moore, D.D., Butte, N.F., Krashes, M.J., Xu, Y., & Chopra, A.R. (2017). Asprosin is a centrally acting orexigenic hormone. Nature Medicine, 23(12), 1444-1456. https://doi.org/10.1038/nm.4432.
• Endukuru, C.K., Gaur, G.S., Yerrabelli, D., Sahoo, J. & Vairappan, B. (2020). Cut-off Values and Clinical Utility of Surrogate Markers for Insulin Resistance and Beta-Cell Function to Identify Metabolic Syndrome and Its Components among Southern Indian Adults. J Obes Metab Syndr, 29(4), 281-291. https://doi.org/ 10.7570/jomes20071
• Fazakerley, D.J., Krycer, J.R., Kearney, A.L., Hocking, S.L. & James, D.E. (2019). Muscle and Adipose Tissue Insulin Resistance: Malady without Mechanism? Journal of Lipid Research, 60(10), 1720–1732. https://doi.org/10.1194/jlr.R087510
• Ghasemi, A., Tohidi, M., Derakhshan, A., Hasheminia, M., Azizi, F. & Hadaegh, F. (2015). Cut-off points of homeostasis model assessment of insulin resistance, betacell function, and fasting serum insulin to identify future type 2 diabetes: Tehran Lipid and Glucose Study. Acta Diabetologica, 52, 905–915. https://doi.org/ 10.1007/s00592-015-0730-3.
• Harbuwono, D.S., Nenfiati, T.D.L., Setiati, S., Yunihastuti, E. & Tarigan, T.J.E. (2023). Defining the optimum HOMA-IR cut-off value for insulin resistance among ARV-treated HIV patients in Indonesia, Diabetes & Metabolic Syndrome: Clinical Research and Reviews, 17(2), 1-10. https://doi.org/ 10.1016/j.dsx.2023.102719.
• Imamura, F., Mukamal, K.J., Meigs, J.B., Luchsinger, J.A., Ix, J.H., Siscovick, D.S. & Mozaffarian, D. (2013). Risk Factors for Type 2 Diabetes Mellitus Preceded by β-Cell Dysfunction, Insulin Resistance, or Both in Older Adults The Cardiovascular Health Study. American Journal of Epidemiology, 177(12), 1418–1429. https://doi.org/ 10.1093/aje/kws440.
• Jung, T.W., Kim, H.C., Kim, H.U., Park, T., Park, J., Kim, U., Kim, M.K., & Jeong, J.H. (2019). Asprosin attenuates insulin signaling pathway through PKCδ-activated ER stress and inflammation in skeletal muscle. Journal of Cell Physiolgy, 234(11), 20888-20899. https:/doi.org/ 10.1002/jcp.28694
• Kasuga, M. (2006). Insulin resistance and pancreatic β cell failure. Journal of Clinical Investigations, 116, 1756–1760. https://doi.org/10.1172/JCI29189
• Li, Q., Hagberg, C.E., Cascales, H.S., Lang, S., Hyvönen, M.T., Salehzadeh, F., Chen, P., Alexandersson, I., Terezaki , E., Harms, M.J., Kutschke, M., Arifen, N., Krämer, N., Aouadi, M., Knibbe, C., Boucher, J., Thorell, A. & Spalding, K.L. (2021). Obesity and hyperinsulinemia drive adipocytes to activate a cell cycle program and senesce, Nature Medicine, 27, 1941-1953. https://doi.org/10.1038/s41591-021-01501-8.
• Marchi, P.H., Vendramini, T.H.A., Perini, M.P., Zafalon, R.V.A., Amaral, A.R., Ochamotto, V.A., Da Silveira, J.C., Dagli, M.L.Z. & Brunetto, M.A. (2022). Obesity, inflammation, andcancer in dogs: Review and perspectives. Frontiers, 3, 1-16. https://doi.org/ 10.3389/fvets.2022.1004122.
• Mehran, A.E. & Johnson, J.D. (2012). Hyperinsulinemia Drives Diet-Induced Obesity Independently of Brain Insulin Production. Cell Metabolism, 6(5), 723-737. https://doi.org/10.1016/j.cmet.2012.10.019
• Muñoz-Prieto, A., Nielsen, L.R., Dąbrowski, R., Bjørnvad, C.R., Söder, J., Lamy, E., Monkeviciene, I., jubić, B.B., Vasiu, L., Savic, S., Busato, F.,Yilmaz, Z., Bravo-Cantero, A.F., Öhlund, M., Lucena, S., Zelvyte, S., Aladrović, J., Lopez-Jornet, P., Caldin, M., Lavrador, C., Karveliene, B., Mrljak, V., Mazeikiene, J., & Tvarijonaviciute, A. (2018). European dog owner perceptions of obesity and factors associated with human and canine obesity. Scientific reports, 8, 1-10. https:/doi.org/10.1038/s41598-018-31532-0
• Naiemian, S., Naeemipour, M., Zarei, M., Najaf, M.L., Gohari, A., Behroozikhah, M.R., Heydari, H. & Miri, M. (2020). Serum concentration of asprosin in new-onset type 2 diabetes. Diabetology and Metabolic Syndrome, 12(65), 1-8. https://doi.org/10.1186/s13098-020-00564-w.
• Oh, W. (2011). Prevalence and risk factors for obesity in dogs and cats. In 36th World Small Animal Veterinary Congress, Jeju/Korea. pp: 244-246.
• Oikonomidis, I.L., Tsouloufi, T.K., Tzenetidou, Z., Ceron, J.J., Tvarijonaviciute, A., Konstantinidis, A.O. & Soubasis, N. (2023). Diagnostic performance of glycated haemoglobin (HbA1c) for diabetes mellitus in dogs. The Veterinary Journal, 294, 1-6. https://doi.org/10.1016/j.tvjl.2023.105958
• Petersen, M.C. & Shulman, G.I. (2018). Mechanisms of insülin action and insulin resistance. Physiological Reviewes, (98), 2133-2223. https://doi.org/10.1152/physrev.00063.2017
• Preet, G.S., Turkar, S., Gupta, S., & Kumar, S. (2021). Dog obesity: Epidemiology, risk factors, diagnosis and management: A review paper. The Pharma Innovation Journal, 10(5), 698-705.
• Ramos, J.R., & Castillo, V. (2020). Evaluation of insulin resistance in overweight and obese dogs. Internal Journal of Veterinary Sciences Research, 6(1), 58-63. https:/doi.org/10.17352/ijvsr.000055
• Romere, C., Duerrschmid, C., Bournat, J., Constable, P., Jain, M., Xia, F., Saha, P.K., Del Solar, M., Zhu, B., York, B., Sarkar, P., Rendon, D.A., Gaber, M.W., LeMaire, S.A., Coselli, J.S., Milewicz, D.M., Sutton, V.R., Butte, N.F., Moore, D.D. & Chopra, A.R. (2016). Asprosin, a Fasting-Induced Glucogenic Protein Hormone. Cell, 165, 566–579. https://doi.org/10.1016/j.cell.2016.02.063.
• Ronja, N., & Kölle, P. (2021). Obesity in dogs-A review of underlying reasons. Tierarztl Prax Ausg K Kleintiere Heimtiere, 49(4), 284-293. https:/doi.org/ 10.1055/a-1548-2293
• Silistre, E.S. & Hatipoğlu, H.U. (2020). Increased serum circulating asprosin levels in children with obesity. Pediatrics International, 62, 467–476. https://doi.org/10.1111/ped.14176.
• Sung, K.C., Reaven, G.M. & Kim, S.H. (2010). Utility of Homeostasis Model Assessment of β-Cell Function in Predicting Diabetes in 12,924 Healthy Koreans. Diabetes Care, 33(1), 200–202. https://doi.org/10.2337/dc09-1070
• Taguchi, A.L., Wartschow, M. & White, M.F. (2007). Brain IRS2 signaling coordinates life span and nutrient homeostasis. Science, 317, 369–372. https://doi.org/10.1126/science.1142179
• Titchenell, P.M., Lazar, M.A. & Birnbaum, M.J. (2017). Unrevealing the regulation of hepatic metabolism by insulin. Trends in Endocrinology & Metabolism, (28), 497-505. https://doi.org/10.1016/j.tem.2017.03.003
• Velasquez-Mieyer, P.A., Cowan, P.A., Arheart, K.L., Buffington, C.K., Spencer, K.A., Connelly, B.E., Cowan, G.W. & Lustig, R.H. (2003). Suppression of insulin secretion is associated with weight loss and altered macronutrient intake and preference in a subset of obese adults. International Journal of Obesity and Related Metabolic Disorders, 27, 219–226. https://doi.org/10.1038/sj.ijo.802227
• Villar, G.F. & Francisco Pérez-Bravo, F. (2022). Analysis of insulin resistance using the non-linear homeostatic model assessment index in overweight canines. Veterinary World, 15(6), 1408–1412. https://doi.org/10.14202/vetworld.2022.1408-1412
• Wang, Y., Qu, H., Xiong, X., Qiu, Y., Liao, Y. & Chen, Y. (2018). Plasma Asprosin Concentrations Are Increased in Individuals with Glucose Dysregulation and Correlated with Insulin Resistance and First-phase Insulin Secretion. Mediators of. Inflammation, 18, 1–7. https://doi.org/10.1155/2018/9471583
• Watanabe, T., M. Nomura, K. Nakayasu, T. Kawano, S. & Ito Y. Nakaya. (2006). Relationships between thermic effect of food, insulin resistance and autonomic nervous activity. Journal of Medical Investigation, 53, 153–158. https://doi.org/10.2152/jmi.53.153 Williams, K., & Buzhardt, L. (2022). Body condition scores. Vca Animal hospital. https://vcahospitals.com/know-your-pet/body-condition-scores
• Wondmkun, T.Y. (2020). Obesity, Insulin Resistance, and Type 2 Diabetes: Associations and Therapeutic Implications. Journal of Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy, 13, 3611–3616. https://doi.org/10.2147/DMSO.S275898 Xu, C., Zhou, G., Zhao, M., Zhang, X., Fang, L., Guan, Q., Zhang, H., Gao, L., Zhang, T. & Zhao, J. (2021). Bidirectional temporal relationship between obesity and hyperinsulinemia: longitudinal observation from a Chinese cohort. BMJ Open Diabetes Research & Care, 9, 1-7. https://doi.org/10.1136/bmjdrc-2020-002059
• Zeugswetter, F.K., Beer, R. & Schwendenwein, I. (2021). Evaluation of fructosamine concentration as an index marker for glycaemic control in diabetic dogs, Veterinary Record, 190(2), 1-9. https://doi.org/10.1002/vetr.244