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InsuTAG: A novel physiologically relevant predictor for insulin resistance and metabolic syndrome

Thota, Rohith N.; Abbott, Kylie A.; Ferguson, Jessica J. A.; Veysey, M.; Lucock, Mark; Niblett, Suzanne; King, Katrina; Garg, Manohar L.

Authors

Rohith N. Thota

Kylie A. Abbott

Jessica J. A. Ferguson

M. Veysey

Mark Lucock

Suzanne Niblett

Katrina King

Manohar L. Garg

Abstract

© 2017 The Author(s). The aim of this study was to investigate whether a novel physiologically relevant marker, InsuTAG (fasting insulin × fasting triglycerides) can predict insulin resistance (IR) and metabolic syndrome (MetS). Data of 618 participants from the Retirement Health and Lifestyle Study (RHLS) were evaluated for the current study. IR was defined by homeostatic model assessment (HOMA-IR) scores. Pearson correlations were used to examine the associations of InsuTAG with HOMA-IR and other markers. Predictions of IR from InsuTAG were evaluated using multiple regression models. Receiver operating characteristic curves (ROC) were constructed to measure the sensitivity and specificity of InsuTAG values and to determine the optimum cut-off point for prediction of IR. InsuTAG was positively correlated with HOMA-IR (r = 0.86; p < 0.0001). InsuTAG is a strong predictor of IR accounting for 65.0% of the variation in HOMA-IR values after adjusting for potential confounders. Areas under the ROC curve showed that InsuTAG (0.93) has higher value than other known lipid markers for predicting IR, with a sensitivity and specificity of 84.15% and 86.88%. Prevalence of MetS was significantly (p < 0.0001) higher in subjects with InsuTAG values greater than optimal cut-off value of 11.2. Thus, InsuTAG appears to be a potential feasible marker of IR and metabolic syndrome.

Journal Article Type Article
Publication Date Dec 1, 2017
Journal Scientific Reports
Print ISSN 2045-2322
Publisher Nature Publishing Group
Peer Reviewed Peer Reviewed
Volume 7
Issue 1
Institution Citation Thota, R. N., Abbott, K. A., Ferguson, J. J. A., Veysey, M., Lucock, M., Niblett, S., …Garg, M. L. (2017). InsuTAG: A novel physiologically relevant predictor for insulin resistance and metabolic syndrome. Scientific reports, 7(1), https://doi.org/10.1038/s41598-017-15460-z
DOI https://doi.org/10.1038/s41598-017-15460-z
Publisher URL https://www.nature.com/articles/s41598-017-15460-z

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