Online first
Current issue
Archive
Special Issues
About the Journal
Publication Ethics
Anti-Plagiarism system
Instructions for Authors
Instructions for Reviewers
Editorial Board
Editorial Office
Contact
Reviewers
All Reviewers
2023
2022
2021
2020
2019
2018
2017
2016
General Data Protection Regulation (RODO)
RESEARCH PAPER
Estimation of reference intervals of insulin resistance (HOMA), insulin sensitivity (Matsuda), and insulin secretion sensitivity indices (ISSI-2) in Polish young people
1
Diagnostics Laboratory for Teaching and Research, Faculty of Pharmacy with the Division of Laboratory Diagnostics, Medical University, Wroclaw, Poland
2
Department of Laboratory Diagnostics, Faculty of Pharmacy with the Division of Laboratory Diagnostics, Medical University, Wroclaw, Poland
3
Department of Toxicology, Faculty of Pharmacy with the Division of Laboratory Diagnostics, Medical University, Wroclaw, Poland
Corresponding author
Lilla Pawlik-Sobecka
Department of Laboratory Diagnostics, Faculty of Pharmacy with the Division of Laboratory Diagnostics, Medical University, Borowska 211a, 50-556, Wrocław, Poland
Department of Laboratory Diagnostics, Faculty of Pharmacy with the Division of Laboratory Diagnostics, Medical University, Borowska 211a, 50-556, Wrocław, Poland
Ann Agric Environ Med. 2020;27(2):248-254
KEYWORDS
TOPICS
ABSTRACT
Introduction:
Insulin resistance is becoming an increasingly widespread problem worldwide. For its determination indirect indices of insulin resistance or insulin sensitivity have used. Those indices based on simultaneous measurements of blood glucose and insulin concentrations under fasting conditions or during the Oral Glucose Tolerance Test.
Objective:
The aim of the study was to estimate reliable reference values for the indices used in insulin resistance diagnosis.
Material and methods:
Materials and method. 191 selected participants, aged 18–31, were enrolled into the reference population. 130 participants from the reference population with fasting glucose ≤5.5 mmol/L, BMI<25 kg/m2, and without metabolic syndrome, were finally included in the reference group. The following insulin resistance indices were calculated: HOMA1-IR, HOMA2, HOMA2 from C-peptide, QUICKI, Matsuda Index and Insulin Secretion-Sensitive Index-2. Determination of reference intervals for indirect indices of insulin resistance was conducted in accordance with the C28-A3 procedure recommended by the Clinical & Laboratory Standards Institute (CLSI).
Results:
Results. The reference intervals for indirect insulin resistance indices examined according to CLSI protocol were: ≤4.00, ≤2.27, ≤4.10, ≥0.31 for HOMA1-IR, HOMA2, HOMA2 C-pep., and QUICKI, respectively. For insulin sensitivity, the value of the Matsuda Index was established as ≥3.19 and for beta cell pancreatic function ISSI-2 as ≥206.
Conclusions:
Conclusions. Establishing a reference intervals for these indices enable the proper identification and differentiation of the types of insulin resistance in particular populations. The early detection of metabolic disorders allows for introduction of effective preventive action.
Insulin resistance is becoming an increasingly widespread problem worldwide. For its determination indirect indices of insulin resistance or insulin sensitivity have used. Those indices based on simultaneous measurements of blood glucose and insulin concentrations under fasting conditions or during the Oral Glucose Tolerance Test.
Objective:
The aim of the study was to estimate reliable reference values for the indices used in insulin resistance diagnosis.
Material and methods:
Materials and method. 191 selected participants, aged 18–31, were enrolled into the reference population. 130 participants from the reference population with fasting glucose ≤5.5 mmol/L, BMI<25 kg/m2, and without metabolic syndrome, were finally included in the reference group. The following insulin resistance indices were calculated: HOMA1-IR, HOMA2, HOMA2 from C-peptide, QUICKI, Matsuda Index and Insulin Secretion-Sensitive Index-2. Determination of reference intervals for indirect indices of insulin resistance was conducted in accordance with the C28-A3 procedure recommended by the Clinical & Laboratory Standards Institute (CLSI).
Results:
Results. The reference intervals for indirect insulin resistance indices examined according to CLSI protocol were: ≤4.00, ≤2.27, ≤4.10, ≥0.31 for HOMA1-IR, HOMA2, HOMA2 C-pep., and QUICKI, respectively. For insulin sensitivity, the value of the Matsuda Index was established as ≥3.19 and for beta cell pancreatic function ISSI-2 as ≥206.
Conclusions:
Conclusions. Establishing a reference intervals for these indices enable the proper identification and differentiation of the types of insulin resistance in particular populations. The early detection of metabolic disorders allows for introduction of effective preventive action.
ACKNOWLEDGEMENTS
This study was supported by the Wroclaw Medical University
under Grant ST-D160.16.016.
REFERENCES (33)
1.
Gutch M, Kumar S, Razi SM, Gupta KK, Gupta A. Assessment of insulin sensitivity/resistance. Indian J Endocrinol Metab. 2015; 19(1): 160–4. http://doi.org/10.4103/2230-82....
2.
Sung KC, Jeong WS, Wild SH, Byrne CD. Combined influence of insulin resistance, overweight/obesity, and fatty liver as risk factors for type 2 diabetes. Diabetes Care. 2012; 35(4): 717–22. htpp://doi: 10.2337/dc11-1853.
3.
Radikova Z, Koska J, Huckova M, Ksinantova L, Imrich R, Vigas M, et al. Insulin sensitivity indices: a proposal of cut-off points for simple identification of insulin-resistant subjects. Exp Clin Endocrinol Diabetes. 2006; 114(5): 249–56. http://doi.org/10.1055/s-2006-....
4.
Zhang Y, Fu J, Yang S, Yang M, Liu A, Wang L, et al. Prevalence of metabolically obese but normal weight (MONW) and metabolically healthy but obese (MHO) in Chinese Beijing urban subjects. Biosci Trends. 2017; 11(4): 418–26. http://doi.org/10.5582/bst.201....
5.
Tam CS, Xie W, Johnson WD, Cefalu WT, Redman LM, Ravussin E. Defining insulin resistance from hyperinsulinemic-euglycemic clamps. Diabetes Care. 2012; 35(7): 1605–10. http://org/doi:10.2337/dc11-23....
6.
Oka R, Yagi K, Sakurai M, Nakamura K, Moriuchi T, Miyamoto S, et al. Insulin secretion and insulin sensitivity on the oral glucose tolerance test (OGTT) in middle-aged Japanese. Endocr J. 2012; 59(1): 55–64. https://doi.org/10.1507/endocr....
7.
Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner RC. Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia. 1985; 28(7): 412–9.
8.
Abdul-Ghani MA, DeFronzo RA. Pathogenesis of Insulin Resistance in skeletal muscle. J Biomed Biotechnol. 2010; http://doi.org/10.1155/2010/47....
9.
Yamada C, Mitsuhashi T, Hiratsuka N, Inabe F, Araida N, Takahashi E. Optimal reference interval for homeostasis model assessment of insulin resistance in a Japanese population. J Diabetes Investig. 2011; 2(5): 373–6. http://doi.org/10.1111/j.2040-....
10.
Szurkowska M, Szafraniec K, Gilis-Januszewska A, Szybinski Z, Huszno B. Insulin resistance indices in population-based study and their predictive value in defining metabolic syndrome. Przegl Epidemiol. 2005; 59(3): 743–51.
11.
Płaczkowska S, Kokot I, Pawlik-Sobecka L, Kołaczek A, Małolepsza E. Indices of insulin resistance in Wroclaw university students – Preliminary report. Fam Med Primary Care Rev. 2013; 15(3): 370–1.
12.
Stankiewicz-Olczyk J, Bolanowski M, Milewicz A, Jawiarczyk-Przybyłowska A. The prevalence of metabolic syndrome in economically active men. Endokrynol Otyłość. 2012; 8(2): 59–64.
13.
Geloneze B, Vasques AC, Stabe CF, Pareja JC, Rosado LE, Queiroz EC, et al. HOMA1-IR and HOMA2-IR indexes in identifying insulin resistance and metabolic syndrome: Brazilian Metabolic Syndrome Study (BRAMS). Arq Bras Endocrinol Metabol. 2009; 53(2): 281–7. http://doi.org/10.1590/S0004-2....
14.
Katz A, Nambi SS, Mather K, Baron AD, Follmann DA, Sullivan G, et al. Quantitative insulin sensitivity check index: a simple, accuratemethod for assessing insulin sensitivity in humans. J Clin Endocrinol Metab. 2000; 85(7): 2402–10. http://doi.org/10.1210/jcem.85....
15.
Matsuda M, DeFronzo RA. Insulin sensitivity indices obtained from oral glucose tolerance testing: comparison with the euglycemic insulin clamp. Diabetes Care. 1999 Sep; 22(9): 1462–70. https://doi.org/10.2337/diacar....
16.
Retnakaran R, Qi Y, Goran MI, Hamilton JK. Evaluation of proposed oral disposition index measures in relation to the actual disposition index. Diabet Med. 2009; 26(12): 1198–203. http://doi.org/10.1111/j.1464-....
17.
CLSI. Defining, Establishing, and Verifying Reference Intervals in the Clinical Laboratory; Approved Guideline—Third Edition. CLSI document C28-A3. Wayne, PA: Clinical and Laboratory Standards Institute; 2008.
18.
Płaczkowska S, Pawlik-Sobecka L, Kokot I, Piwowar A. Estimation of metabolic factors related to insulin resistance and metabolic syndrome in young people. Scand J Clin Lab Invest. 2018. http://doi.org/10.1080/0036551....
20.
Dankner R, Chetrit A, Shanik MH, Raz I, Roth J. Basal-state hyperinsulinemia in healthy normoglycemic adults is predictive of type 2 diabetes over a 24-year follow-up: a preliminary report. Diabetes Care. 2009; 32(8): 1464–6. http://doi.org/10.2337/dc09-01....
21.
Siest G, Henny J, Ralph Grasbeck R, Wilding P, Petitclerc C, et al. The theory of reference values: an unfinished symphony. Clin Chem Lab Med. 2013; 51(1): 47–64. http://doi.org/10.1515/cclm-20....
22.
Boyd JC. Defining laboratory reference values and decision limits: populations, intervals, and interpretations. Asian J Androl. 2010; 12: 83–90. http://doi.org/10.1038/aja.200....
23.
Ozarda Y. Reference intervals: current status, recent developments and future considerations. Biochem Med. 2016; 26(1): 5–16. http://doi.org/10.11613/BM.201....
24.
Appold K. Determining Laboratory Reference Intervals: CLSI Guideline Makes the Task Manageable. Lab Med. 2009; 40(2): 75–6. https://doi.org/10.1309/LMEHV3....
25.
Takahara M, Katakami N, Kaneto H, Noguchi M, Shimomura I. Distribution of the Matsuda Index in Japanese healthy subjects. J Diabetes Investig 2013; 4(4): 369–71. http://doi.org/10.1111/jdi.120....
26.
Ramadan RA. Establishment of Reference Interval for Homeostasis Model Assessment of Insulin Resistance in Healthy Adult Males: a Pilot Study in Alexandria Governorate, Egypt. Iran J Diabetes and Obes. 2013; 5(3): 91–7.
27.
Tohidi M, Ghasemi A, Hadaegh F, Derakhshan A, Chary A, Azizi F. Age-and sex-specific reference values for fasting serum insulin levels and insulin resistance/sensitivity indices in healthy Iranian adults: Tehran Lipid and Glucose Study. Clin Biochem. 2014; 47(6): 432–8. http://doi.org/10.1016/j.clinb....
28.
Ascaso JF, Romero P, Real JT, Priego A, Valdecabres C, Carmena R. Insulin resistance quantification by fasting insulin plasma values and HOMA index in a non-diabetic population. Med Clin (Barc). 2001; 117(14): 530–3.
29.
Timoteo AT, Miranda F, Carmo MM, Ferreira RC. Optimal cut-off value for homeostasis model assessment (HOMA) index of insulin-resistance in a population of patients admitted electively in a Portuguese cardiology ward. Acta Med Port. 2014; 27(4): 473–9.
30.
Wurtz P, Makinen VP, Soininen P, Kangas AJ, Tukiainen T, Kettunen J, et al. Metabolic signatures of insulin resistance in 7,098 young adults. Diabetes. 2012; 61(6): 1372–80. http://doi.org/10.2337/db11-13....
31.
Kwon SS, Lee SG, Lee YH, Lim JB, Kim JH. Homeostasis model assessment of insulin resistance in a general adult population in Korea: additive association of sarcopenia and obesity with insulin resistance. Clin Endocrinol (Oxf). 2017; 86(1): 44–51. http://doi.org/10.1111/cen.132....
32.
Oh TJ, Min SH, Ahn CH, Kim EK, Kwak SH, Jung HS, et al. Normal Glucose Tolerance with a High 1-Hour Postload Plasma Glucose Level Exhibits Decreased beta-Cell Function Similar to Impaired Glucose Tolerance. Diabetes Metab J. 2015; 39(2): 147–53.
33.
Alberti KG, Eckel RH, Grundy SM, Zimmet PZ, Cleeman JI, Donato KA, et al.Harmonizing the metabolic syndrome: A joint interim statement of the international diabetes federation task force on epidemiology and prevention; National heart, lung, and blood institute; American heart association; World heart federation; International atherosclerosis society; And international association for the study of obesity. Circulation. 2009; 120(16): 1640–5.
Share
RELATED ARTICLE
| eISSN: | 1898-2263 |
| ISSN: | 1232-1966 |
Improvement of visual identification of the journal - task financed under the agreement No. 618/P-DUN/2019 by the Minister of Science and Higher Education allocated to the activities of disseminating science.
Generation of the DOI (Digital Object Identifier) - task financed under the agreement No. 618/P-DUN/2019 by the Minister of Science and Higher
© 2006-2024 Journal hosting platform by Bentus
We process personal data collected when visiting the website. The function of obtaining information about users and their behavior is carried out by voluntarily entered information in forms and saving cookies in end devices. Data, including cookies, are used to provide services, improve the user experience and to analyze the traffic in accordance with the Privacy policy. Data are also collected and processed by Google Analytics tool (more).
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
