Estimated insulin sensitivity in Type 1 diabetes adults using clinical and research biomarkers
Abstract
Aims Insulin resistance in people with type 1 diabetes (T1D) is associated with increased risk of chronic complications and death. The gold standard to quantify insulin sensitivity, a euglycaemic hyperinsulinaemic clamp, is not applicable to clinical practice. We have employed clamp studies to develop a panel of formulae to estimate insulin sensitivity in adults with T1D for use in clinical practice and trials. Methods Clamps were conducted in 28 adults with T1D, who were also characterised with 38 clinical and research biomarkers. Exhaustive search analysis was used to derive equations correlating with clamp-quantified glucose disposal rate (GDR), GDR/plasma insulin (M/I) and log 10 M/I. Results Measured insulin sensitivity correlated with BMI, WHR, HDL-C, adipokines and inflammation markers on univariate analysis. Exhaustive search analysis derived three formulae correlating with clamp-derived GDR and logM/I (p Conclusions The performance of formulae using routinely available parameters with/without research biomarkers in clinical studies and trials, particularly related to future complications, relevant lifestyle interventions, insulin delivery modes and insulin sensitisers is merited.
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There is a lack of uniformity for estimating insulin sensitivity in type 1 diabetes.
“a lack of uniformity for estimating insulin sensitivity (IS) [3,4,5,6,7]”
From Menstrual Cycle, Glucose Control and Insulin Sensitivity in Type 1 Diabetes: A Systematic Review (2023) · cites this paper as [6]
Cites
Can clinical factors estimate insulin resistance in type 1 diabetes?
Williams, K. V., Erbey, J. R., Becker, D., Arslanian, S., & Orchard, T. J. (2000) · Diabetes · doi:10.2337/diabetes.49.4.626 · Cited by 640 · see citing works
Pathophysiology of Diabetic Dyslipidemia
Hirano, T. (2018) · Journal of Atherosclerosis and Thrombosis · doi:10.5551/jat.rv17023 · Cited by 552 · see citing works
Diabetic nephropathy is associated with low-grade inflammation in Type 1 diabetic patients
Saraheimo, M., Teppo, A.-M., Forsblom, C., Fagerudd, J., & Groop, P.-H. (2003) · Diabetologia · doi:10.1007/s00125-003-1194-5 · Cited by 255 · see citing works
Type 1 diabetes, metabolic syndrome and cardiovascular risk
Chillarón, J. J., Flores Le-Roux, J. A., Benaiges, D., & Pedro-Botet, J. (2014) · Metabolism · doi:10.1016/j.metabol.2013.10.002 · Cited by 195 · see citing works
The Peripheral Peril: Injected Insulin Induces Insulin Insensitivity in Type 1 Diabetes
Gregory, J. M., Cherrington, A. D., & Moore, D. J. (2020) · Diabetes · doi:10.2337/dbi19-0026 · Cited by 76 · see citing works
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Menstrual Cycle, Glucose Control and Insulin Sensitivity in Type 1 Diabetes: A Systematic Review
Gamarra, E., & Trimboli, P. (2023) · Journal of Personalized Medicine · doi:10.3390/jpm13020374 · Cited by 29 · see citing works
- Authors
- Januszewski, A. S., Sachithanandan, N., Ward, G., Karschimkus, C. S., O'Neal, D. N., & Jenkins, A. J.
- Affiliations
- The University of Sydney (AU)
- The University of Melbourne (AU)
- Corresponding author
- Januszewski, Andrzej S.
- Venue
- Diabetes Research and Clinical Practice
- Publisher
- Elsevier BV
- Published
- 2020-09
- Volume
- 167
- Pages
- 108359
- ISSN
- 0168-8227 (ISSN-L)
- OpenAlex
- W3046844445
- Cited by
- 24
- References
- 5
- Citations by year
- 2026: 3 · 2025: 5 · 2024: 4 · 2023: 7 · 2022: 3 · 2021: 2
- FWCI
- 2.26
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Diabetes Research and Clinical Practice (publishedVersion)
- PubMed (publishedVersion)
- Minerva Access (University of Melbourne) (submittedVersion)
- Funders
- University of Melbourne
- Juvenile Diabetes Research Foundation Australia
- National Health and Medical Research Council
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Diabetes and associated disorders
- Keywords
- type 1 diabetes, insulin sensitivity, insulin resistance, glucose disposal rate, hyperinsulinemic-euglycemic clamp, prediction equations, clinical biomarkers, adipokines, inflammatory markers, HDL cholesterol, waist-to-hip ratio, body mass index, pulse pressure
- MeSH terms
- Adult, Diabetes Mellitus, Type 1, Female, Humans, Insulin, Insulin Resistance, Male, Middle Aged, Glucose Clamp Technique, Biomarkers, Young Adult
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