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Scientific and technological research article

Vol. 21 No. 3 (2019)

Detection of impaired glucidic metabolism and insulin resistance in a pilot child sample

DOI
https://doi.org/10.22267/rus.192103.155
Submitted
January 9, 2018
Published
2019-08-31

Abstract

Introduction: Metabolomics enables the study of insulin resistance (IR), a risk factor for pre-diabetes and diabetes. Quantose IRTM is the only test that measures IR using the euglycemic hyperinsulinemic clamp. Objective: The effectiveness of a metabolomic test for the detection of RI markers in a child population was verified. Materials and methods: Eleven children aged 8.54 ± 3.53 years with diabetes risk factors were recruited from the El Escorial Hospital. The American Diabetes Association (ADA) Standards (5,7-6,4% HbA1C and 100-125 mg/dl basal glucose) were established as diagnostic criteria for prediabetes. Blood tests were compared to the Quantose IRTM assay studying the metabolomic profile related to IR (alpha-hydroxybutyric acid, oleic acid, linoleo-glycerophosphocoline and insulin).  This analysis generated a Quantose© score of IR > 63. Results: None of the subjects met the ADA criteria for prediabetes: HbA1C=5,3±0,18 and glucose=86,6± 5,6 mg/dl. On the contrary, 10 subjects met the Quantose IRTM test criterion for IR (score: 78,09 ± 9,24 (>63)). Conclusions: The Quantose IRTM test measures the percentage of glucose bound hemoglobin within red blood cells. This assay makes it possible to predict diabetes risk and take preventive measures.

References

  1. Manzur MdelR, Rodriguez S, Yañez RM, Ortuño M, García S, Fernandez N, et al. Síndrome metabólico, factores de riesgo en niños y adolescentes con sobrepeso. Gac méd Boliv [Internet]. 2016;39(2):94-8. Available from: http://www.scielo.org.bo/scielo.php?script=sci_arttext&pid=S1012-29662016000200008
  2. van der Aa MP, Fazeli Farsani S, Knibbe CAJ, de Boer A, van der Vorst MMJ. Population-Based Studies on the Epidemiology of Insulin Resistance in Children. J Diabetes Res. 2015;2015:1-9.
  3. Fernando Carrasco N, José Eduardo Galgani F, Marcela Reyes J. Síndrome de resistencia a la insulina. Estudio y manejo. Rev Médica Clínica Las Condes. 2015;24(5):827-37.
  4. Tokarz VL, MacDonald PE, Klip A. The cell biology of systemic insulin function. J Cell Biol. 2018;217(7):1-17.
  5. Galgani JE, Ravussin E. Postprandial whole-body glycolysis is similar in insulin-resistant and insulin-sensitive non-diabetic humans. Diabetologia. 2012;55(3):737-42.
  6. Jeffery SC, Hosking J, Jeffery AN, Murphy MJ, Voss LD, Wilkin TJ. Gender differences in insulin resistance during adolescence: A longitudinal study (EarlyBird) [Internet]. Vol. 59, Diabetologia. 2016. p. S547. Available from: http://ovidsp.ovid.com/ovidweb.cgi?T=JS&PAGE=reference&D=emed18b&NEWS=N&AN=612314267
  7. Galera Martínez R, García García E, Vázquez López MÁ, Ortiz Pérez M, López Ruzafa E, Martín González M, et al. Factores asociados a insulinemia en población general adolescente. Nutr Hosp. 2013;28(5):1610-4.
  8. Bajaj M, DeFronzo RA. Metabolic and molecular basis of insulin resistance. J Nucl Cardiol. 2003;10(3):311–23.
  9. Weickert MO. What dietary modification best improves insulin sensitivity and why? Clin Endocrinol (Oxf). 2012;77(4):508-12.
  10. Calero Bernal ML, Varela Aguilar JM. Diabetes tipo 2 infantojuvenil. Rev Clínica Española. 2018;218(7):372-81.
  11. Manrique-Hurtado H, Aro-Guardia P, Pinto-Valdivia M. Diabetes tipo 2 en niños. Serie de casos. Rev Medica Hered [Internet]. 2016;26(1):5-9. Available from: http://www.scielo.org.pe/pdf/rmh/v26n1/a02v26n1.pdf
  12. Gómez-Ambrosi J, Rodríguez A, Catalán V, Frühbeck G. Papel del tejido adiposo en la inflamación asociada a la obesidad. Rev Esp Obes. 2008;6(5):264-79.
  13. Kao KT, Sabin MA. Type 2 diabetes mellitus in children and adolescents. Aust Fam Physician. 2016;45(6):401-6.
  14. Arisaka O, Sairenchi T, Ichikawa G, Koyama S. Increase of body mass index (BMI) from 1.5 to 3 years of age augments the degree of insulin resistance corresponding to BMI at 12 years of age. J Pediatr Endocrinol Metab. 2017;30(4):455-7.
  15. Rosas-Sumano AB, Rodal-Canales FJ, Barrientos Pérez M, Cárdenas-Morales BE, Pérez-Campos Mayoral L, Pérez-Campos E. Hiperinsulinemia y resistencia insulínica en niños de dos escuelas públicas de Oaxaca, México. Rev Med Chil. 2016;144(8):1020-8.
  16. International Diabetes Federation (IDF). IDF Diabetes Atlas Eighth edition 2017. In: Internatinal Diabetes Federation. 2017. p. 16-7.
  17. Lehmann R. Diabetes subphenotypes and metabolomics: The key to discovering laboratory markers for personalized medicine? Clin Chem. 2013;59(9):1294-6.
  18. Brown RJ, Yanovski JA. Estimation of insulin sensitivity in children: Methods, measures and controversies. Pediatr Diabetes. 2014;15(3):151-61.
  19. Lentferink YE, Elst MAJ, Knibbe CAJ, van der Vorst MMJ. Predictors of Insulin Resistance in Children versus Adolescents with Obesity. J Obes [Internet]. 2017;2017:3793868. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5742469/
  20. Katz A, Nambi SS, Mather K, Baron AD, Follmann DA, Sullivan G, et al. Quantitative insulin sensitivity check index: A simple, accurate method for assessing insulin sensitivity in humans. J Clin Endocrinol Metab. 2000;85(7):2402-10.
  21. Gutch M, Kumar S, Razi S, Gupta K, Gupta A. Assessment of insulin sensitivity/resistance. Indian J Endocrinol Metab [Internet]. 2015;19(1):160. Available from: http://www.ijem.in/text.asp?2015/19/1/160/146874
  22. Cobb J, Gall W, Adam KP, Nakhle P, Button E, Hathorn J, et al. A novel fasting blood test for insulin resistance and prediabetes. J Diabetes Sci Technol. 2013;7(1):100-10.
  23. Cobb J, Eckhart A, Motsinger-Reif A, Carr B, Groop L, Ferrannini E. α-Hydroxybutyric acid is a selective metabolite biomarker of impaired glucose tolerance. Diabetes Care. 2016;39(6):988-95.
  24. ADA. American Diabetes Association. 2. Classification and diagnosis of Diabetes: Standards of Medical Care in diabetes - 2019. Diabetes Care [Internet]. 2019;42(Suppl. 1):S13-28. Available from: https://doi.org/10.2337/dc19-S002
  25. Gonzalez-Neira M, San Mauro-Martin I, Garcia-Angulo B, Fajardo D, Garicano-Vilar E. Nutritional and body composition assessment and its relationship with athletic performance in a women’s soccer team. Rev Esp Nutr Humana Y Diet. 2015;19(1):36-48.
  26. TANITA Corporation. Body Fat Moitor / Scale. Instruction Manual Tanita. Tanita Corporation of America Inc. 2011. p. 1-32.
  27. Gunczler P. Síndrome de resistencia a la insulina en niños y adolescentes. Gac Med Caracas. 2006;114:62-70.
  28. Milburn M V., Lawton KA. Application of Metabolomics to Diagnosis of Insulin Resistance. Annu Rev Med. 2013;64(1):291–305.
  29. Scalbert A, Brennan L, Fiehn O, Hankemeier T, Kristal BS, van Ommen B, et al. Mass-spectrometry-based metabolomics: Limitations and recommendations for future progress with particular focus on nutrition research. Metabolomics. 2009;5(4):435–58.
  30. Gall WE, Beebe K, Lawton KA, Adam KP, Mitchell MW, Nakhle PJ, et al. α-hydroxybutyrate is an early biomarker of insulin resistance and glucose intolerance in a nondiabetic population. PLoS One. 2010;5(5):e10883.
  31. Ferrannini E, Natali A, Camastra S, Nannipieri M, Mari A, Adam KP, et al. Early metabolic markers of the development of dysglycemia and type 2 diabetes and their physiological significance. Diabetes. 2013;62(5):1730–7.

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