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Limitations in the Use of Indices Using Glucose and Insulin Levels to Predict Insulin Sensitivity
Open accessAbstract
OBJECTIVE: To examine the utility of commonly used insulin sensitivity indices in nondiabetic European Americans (EAs) and African Americans (AAs). RESEARCH DESIGN AND METHODS: Two-hundred forty nondiabetic participants were studied. Euglycemic-hyperinsulinemic clamp was the gold standard approach to assess glucose disposal rates (GDR) normalized by lean body mass. The homeostatic model assessment for insulin resistance (HOMA-IR) and the quantitative insulin sensitivity check index (QUICKI) were calculated from fasting plasma glucose and insulin (FIL). Oral glucose tolerance test (OGTT) was performed to determine Matsuda index, the simple index assessing insulin sensitivity (SIisOGTT), Avignon index, and Stomvoll index. Relationships among these indices with GDR were analyzed by multiple regression. RESULTS: GDR values were similar in EA and AA subgroups; even so, AA exhibited higher FIL and were insulin-resistant compared with EA, as assessed by HOMA-IR, QUICKI, Matsuda index, SIisOGTT, Avignon index, and Stumvoll index. In the overall study population, GDR was significantly correlated with all studied insulin sensitivity indices (/r/ = 0.381–0.513); however, these indices were not superior to FIL in predicting GDR. Race and gender affected the strength of this relationship. In AA males, FIL and HOMA-IR were not correlated with GDR. In contrast, Matsuda index and SIisOGTT were significantly correlated with GDR in AA males, and Matsuda index was superior to HOMA-IR and QUICKI in AAs overall. CONCLUSIONS: Insulin sensitivity indices based on glucose and insulin levels should be used cautiously as measures of peripheral insulin sensitivity when comparing mixed gender and mixed race populations. Matsuda index and SIisOGTT are reliable in studies that include AA males.
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“Consequently, studies assessing the relationship between indices based on fasting plasma glucose (FPG) and insulin levels and clamp measures could reflect falsely inflated slopes and correlation coefficients in regression equations when data from nondiabetic and diabetic subjects are included in the same regression analyses [6].”
From Optimal Homeostasis Model Assessment of Insulin Resistance (HOMA-IR) Cut-Offs: A Cross-Sectional Study in the Czech Population (2019) · cites this paper as [6]
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Cites
Matthews, D. R., Hosker, J. P., Rudenski, A. S., Naylor, B. A., Treacher, D. F., & Turner, R. C. (1985) · Diabetologia · doi:10.1007/bf00280883 · Cited by 31,502
Glucose clamp technique: a method for quantifying insulin secretion and resistance.
DeFronzo, R. A., Tobin, J. D., & Andres, R. (1979) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.1979.237.3.e214 · Cited by 7,425
Matsuda, M., & DeFronzo, R. A. (1999) · Diabetes Care · doi:10.2337/diacare.22.9.1462 · Cited by 5,621
Katz, A., Nambi, S. S., Mather, K., Baron, A. D., Follmann, D. A., Sullivan, G., & Quon, M. J. (2000) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jcem.85.7.6661 · Cited by 3,931 · cited 1×
“HOMA-IR and QUICKI are derived from fasting glucose and insulin levels (4,5) and are believed to primarily reflect hepatic insulin sensitivity (40).”
BackgroundBonora, E., Targher, G., Alberiche, M., Bonadonna, R. C., Saggiani, F., Zenere, M. B., Monauni, T., & Muggeo, M. (2000) · Diabetes Care · doi:10.2337/diacare.23.1.57 · Cited by 2,456
Muniyappa, R., Lee, S., Chen, H., & Quon, M. J. (2008) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00645.2007 · Cited by 1,643
Allhoff, P., Laaser, U., & Heinrich, J. (1991) · Springer eBooks · doi:10.1007/978-3-642-95642-3_7 · Cited by 1,331
Use of the oral glucose tolerance test to assess insulin release and insulin sensitivity.
Stümvoll, M., Mitrakou, A., Pimenta, W. P., Jenssen, T. G., Yki-Järvinen, H., van Haeften, T. W., Renn, W., & Gerich, J. E. (2000) · Diabetes Care · doi:10.2337/diacare.23.3.295 · Cited by 1,040
Haffner, S. M., Ralph, D., Saad, M. F., Rewers, M., Mykkänen, L., Selby, J., Howard, G., Savage, P. J., Hamman, R. F., Wegenknecht, L. E., et al. (1996) · Diabetes · doi:10.2337/diab.45.6.742 · Cited by 536
Regulation of Splanchnic and Peripheral Glucose Uptake by Insulin and Hyperglycemia in Man
DeFronzo, R. A., Ferrannini, E., Hendler, R., Felig, P., & Wahren, J. (1983) · Diabetes · doi:10.2337/diab.32.1.35 · Cited by 509
The Effect of Insulin Treatment on Insulin Secretion and Insulin Action in Type II Diabetes Mellitus
Garvey, W. T., Olefsky, J. M., Griffin, J., Hamman, R. F., & Kolterman, O. G. (1985) · Diabetes · doi:10.2337/diab.34.3.222 · Cited by 488
Self-citationInsulin Resistance: the Link Between Obesity and Cardiovascular Disease
Reaven, G. M. (2011) · Medical Clinics of North America · doi:10.1016/j.mcna.2011.06.002 · Cited by 417
Mather, K. J., Hunt, A. E., Steinberg, H. O., Paradisi, G., Hook, G., Katz, A., Quon, M. J., & Baron, A. D. (2001) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jcem.86.11.7880 · Cited by 363
Chen, H., Sullivan, G., & Quon, M. J. (2005) · Diabetes · doi:10.2337/diabetes.54.7.1914 · Cited by 269
Consensus Development Conference on Insulin Resistance: 5–6 November 1997
American Diabetes Association (1998) · Diabetes Care · doi:10.2337/diacare.21.2.310 · Cited by 251
The importance of the β-cell in the pathogenesis of type 2 diabetes mellitus
Kahn, S. E. (2000) · The American Journal of Medicine · doi:10.1016/s0002-9343(00)00336-3 · Cited by 247
Yokoyama, H., Emoto, M., Fujiwara, S., Motoyama, K., Morioka, T., Komatsu, M., Tahara, H., Shoji, T., Okuno, Y., & Nishizawà, Y. (2003) · Diabetes Care · doi:10.2337/diacare.26.8.2426 · Cited by 213
Haffner, S. M., Howard, G., Mayer, E. J., Bergman, R. N., Savage, P. J., Rewers, M., Mykkänen, L. M., Karter, A. J., Hamman, R. F., & Saad, M. F. (1997) · Diabetes · doi:10.2337/diab.46.1.63 · Cited by 193
Arslanian, S. A., & Suprasongsin, C. (1996) · The Journal of Pediatrics · doi:10.1016/s0022-3476(96)70078-1 · Cited by 187
Osei, K., & Schuster, D. P. (1994) · Diabetic Medicine · doi:10.1111/j.1464-5491.1994.tb00349.x · Cited by 163
Kang, E. S., Yun, Y. S., Park, S. W., Kim, H. J., Ahn, C. W., Song, Y. D., Cha, B. S., Lim, S. K., Kim, K. R., & Lee, H. C. (2005) · Metabolism · doi:10.1016/j.metabol.2004.08.014 · Cited by 161
Longitudinal Changes in Insulin Sensitivity, Insulin Secretion, and β-Cell Function During Puberty
Ball, G. D. C., Huang, T. T. ‐., Gower, B. A., Cruz, M. L., Shaibi, G. Q., Weigensberg, M. J., & Goran, M. I. (2006) · The Journal of Pediatrics · doi:10.1016/j.jpeds.2005.08.059 · Cited by 160
Black-White Contrasts In Insulin Levels During Pubertal Development: The Bogalusa Heart Study
Svec, F., Nastasi, K., Hilton, C., Bao, W., Srinivasan, S. R., & Berenson, G. (1992) · Diabetes · doi:10.2337/diab.41.3.313 · Cited by 159
Insulin sensitivity differs among ethnic groups with a compensatory response in beta-cell function.
Chiu, K. C., Cohan, P., Lee, N. P., & Chuang, L. M. (2000) · Diabetes Care · doi:10.2337/diacare.23.9.1353 · Cited by 154
Insulin Secretion and Sensitivity in Black Versus White Prepubertal Healthy Children1
Arslanian, S. A., Suprasongsin, C., & Janosky, J. E. (1997) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jcem.82.6.4002 · Cited by 143
Avignon, A., Bœgner, C., Mariano‐Goulart, D., Colette, C., & Monnier, L. (1999) · International Journal of Obesity · doi:10.1038/sj.ijo.0800864 · Cited by 137
Reaven, G. (2005) · Diabetes and Vascular Disease Research · doi:10.3132/dvdr.2005.017 · Cited by 135
Using genetic admixture to explain racial differences in insulin-related phenotypes.
Gower, B., Fernández, J. R., Beasley, T., Shriver, M., & Goran, M. (2003) · Diabetes · doi:10.2337/diabetes.52.4.1047 · Cited by 124
Gower, B. A., Granger, W. M., Franklin, F., Shewchuk, R. M., & Goran, M. I. (2002) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jcem.87.5.8498 · Cited by 114
Osei, K., Schuster, D. P., Owusu, S., & Amoah, A. G. B. (1997) · Metabolism · doi:10.1016/s0026-0495(97)90167-0 · Cited by 107
Mari, A., Pacini, G., Brazzale, A. R., & Ahr�n, B. (2005) · Diabetologia · doi:10.1007/s00125-005-1683-9 · Cited by 105
Jiang, X.-Z., Srinivasan, S., Radhakrishnamurthy, B., Dalferes, E., & Berenson, G. (1996) · Pediatrics · doi:10.1542/peds.97.3.357 · Cited by 100
Heterogeneity in the Relationship Between Ethnicity, BMI, and Fasting Insulin
Palaniappan, L. P., Carnethon, M. R., & Fortmann, S. P. (2002) · Diabetes Care · doi:10.2337/diacare.25.8.1351 · Cited by 90
Lara-Castro, C., Newcomer, B. R., Rowell, J., Wallace, P., Shaughnessy, S. M., Munoz, A. J., Shiflett, A. M., Rigsby, D. Y., Lawrence, J. C., Bohning, D. E., et al. (2008) · Metabolism · doi:10.1016/j.metabol.2007.05.008 · Cited by 82
Self-citationBastard, J., Vandernotte, J.-M., Faraj, M., Karelis, A. D., Messier, L., Malita, F. M., Garrel, D. R., Prud’homme, D., & RABASA-LHORET, R. P. R. (2007) · Diabetes & Metabolism · doi:10.1016/j.diabet.2007.02.004 · Cited by 78
Chiu, K. C., Chuang, L., & Yoon, C. (2001) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jcem.86.4.7432 · Cited by 59
Donahue, R. P., Bean, J. A., Donahue, R. A. D., Goldberg, R. B., & Prineas, R. J. (1997) · Diabetes Care · doi:10.2337/diacare.20.11.1670 · Cited by 53
Ingram, K. H., Lara‐Castro, C., Gower, B. A., Makowsky, R., Allison, D. B., Newcomer, B. R., Muñoz, A. J., Beasley, T. M., Lawrence, J. C., Lopez‐Ben, R., et al. (2011) · Obesity · doi:10.1038/oby.2011.45 · Cited by 53
Self-citationLee, S., Guerra, N., & Arslanian, S. A. (2010) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2009-2175 · Cited by 40
Chandler-Laney, P., Phadke, R., Granger, W., Fernández, J. R., Munoz, A., Man, C., Cobelli, C., Ovalle, F., & Gower, B. (2010) · Obesity · doi:10.1038/oby.2010.212 · Cited by 39
Strączkowski, M., Stępień, A., Kowalska, I., & Kinalska, I. (2004) · PubMed · Cited by 37
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Akbari, E., Asemi, Z., Daneshvar Kakhaki, R., Bahmani, F., Kouchaki, E., Tamtaji, O. R., Hamidi, G. A., & Salami, M. (2016) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2016.00256 · Cited by 946
Akkasheh, G., Kashani-Poor, Z., Tajabadi-Ebrahimi, M., Jafari, P., Akbari, H., Taghizadeh, M., Memarzadeh, M. R., Asemi, Z., & Esmaillzadeh, A. (2016) · Nutrition · doi:10.1016/j.nut.2015.09.003 · Cited by 767
Zadeh, M. R., Telkabadi, M., Bahmani, F., Salehi, B., Farshbaf, S., & Asemi, Z. (2015) · Liver International · doi:10.1111/liv.12990 · Cited by 278
The β3-adrenergic receptor agonist mirabegron improves glucose homeostasis in obese humans
Finlin, B. S., Memetimin, H., Zhu, B., Confides, A. L., Vekaria, H. J., Khouli, R. H. E., Johnson, Z., Westgate, P. M., Chen, J., Morris, A. J., et al. (2020) · Journal of Clinical Investigation · doi:10.1172/jci134892 · Cited by 261
Zamani, B., Golkar, H. R., Farshbaf, S., Emadi‐Baygi, M., Ebrahimi, M. T., Jafari, P., Akhavan, R., Taghizadeh, M., Memarzadeh, M. R., & Asemi, Z. (2016) · International Journal of Rheumatic Diseases · doi:10.1111/1756-185x.12888 · Cited by 220
Metadata
- Authors
- Pisprasert, V., Ingram, K. H., Lopez-Davila, M. F., Munoz, A. J., & Garvey, W. T.
- Affiliations
- University of Alabama at Birmingham (US)
- Kennesaw State University (US)
- Department of Nutrition Sciences, University of Alabama at Birmingham, Birmingham, Alabama
- University of South Carolina (US)
- Corresponding author
- Pisprasert, Veeradej
- Venue
- Diabetes Care
- Publisher
- American Diabetes Association
- Published
- 2013-03-14
- Volume
- 36
- Issue
- 4
- Pages
- 845-853
- ISSN
- 0149-5992 (ISSN-L)
- 1935-5548
- PMC
- PMC3609485
- OpenAlex
- W2168987890
- Cited by
- 302
- References
- 41
- Citations by year
- 2026: 5 · 2025: 14 · 2024: 11 · 2023: 11 · 2022: 23 · 2021: 18 · 2020: 31 · 2019: 30 · 2018: 33 · 2017: 32 · 2016: 32 · 2015: 31 · 2014: 23 · 2013: 8
- FWCI
- 15.91
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Diabetes Care (publishedVersion, cc-by-nc-nd)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- DigitalCommons - Kennesaw State University (Kennesaw State University) (submittedVersion)
- Funders
- National Institutes of Health (5p60dk079626-05)
- National Institute of Diabetes and Digestive and Kidney Diseases (DK-038764, P60-DK-079626, DK-083562, R01DK083562, P30DK056336)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Pancreatic function and diabetes
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Keywords
- insulin sensitivity index, insulin resistance, Matsuda index, HOMA-IR, QUICKI, glucose disposal rate, hyperinsulinemic-euglycemic clamp, fasting insulin, racial differences, African American men, European Americans, oral glucose tolerance test, peripheral insulin sensitivity
- MeSH terms
- Adult, Black or African American, Blood Glucose, Female, Glucose Tolerance Test, Humans, Immunoassay, Insulin, Insulin Resistance, Male, Middle Aged, Glucose Clamp Technique, Absorptiometry, Photon, White People
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