Lipoprotein insulin resistance index clinically useful tool for assessing Insulin resistance

Written By :  Dr.Niharika Harsha B
Medically Reviewed By :  Dr. Kamal Kant Kohli
Published On 2023-01-17 05:30 GMT   |   Update On 2023-01-17 07:13 GMT

U.S.A: A new study from the U.S.A found that lipoprotein insulin resistance index (LP-IR) can be a simple, accurate, and clinically useful test to assess Insulin resistance in South Asians. The study results were published in the Journal of the Endocrine Society. It is quite necessary to identify insulin resistance (IR) in South Asians, who are at a higher risk for type 2 diabetes as...

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U.S.A: A new study from the U.S.A found that lipoprotein insulin resistance index (LP-IR) can be a simple, accurate, and clinically useful test to assess Insulin resistance in South Asians. The study results were published in the Journal of the Endocrine Society. 

It is quite necessary to identify insulin resistance (IR) in South Asians, who are at a higher risk for type 2 diabetes as premature atherosclerotic disease, conditions characterized by IR are a major risk factor. The clinical use of insulin-based surrogate indices is limited by the lack of standardization of insulin assays. The lipoprotein insulin resistance index (LP-IR) is a metabolomic marker that reflects the lipoprotein abnormalities observed in IR. There is uncertainty on the reliability of the LP-IR index in South Asians, hence Fosam A et al conducted a predictive accuracy of LP-IR compared with other IR surrogate indices in South Asians. 

A cross-sectional study (n = 55) was done using a calibration model analysis to assess the ability of the LP-IR score. Along with this, other simple surrogate indices like the homeostatic Model Assessment of Insulin Resistance, Quantitative insulin sensitivity check index, Adipose insulin resistance index, and Matsuda Index were also assessed to predict insulin sensitivity (SI) derived from the reference frequently sampled intravenous glucose tolerance test. lipoprotein particle concentrations and sizes were used to derive the LP-IR index as measured by nuclear magnetic resonance spectroscopy. Root mean squared error (RMSE) of prediction and leave-one-out cross-validation type RMSE of prediction (CVPE) were used to determine the predictive accuracy. The area under the receiver operating characteristic curve (AUROC) and the Youden index was used to determine the optimal cut-off of the LP-IR index. 

Key findings of the study: 

  • There were moderate correlations between simple surrogate indices with SI (r = 0.53-0.69, P < .0001).
  • There was no difference in the CVPE and RMSE in any of the surrogate indices when compared with LP-IR.
  • The AUROC was 0.77 (95% CI 0.64-0.89).
  • The optimal cut-off for IR in South Asians was LP-IR >48 (sensitivity: 75%, specificity: 70%). 

Thus, the present study represented the first comprehensive validation study of the LP-IR index in South Asians as a simple, accurate, and clinically useful test to assess IR. 

Further reading: Fosam A, Bansal R, Ramanathan A, et al. Lipoprotein Insulin Resistance Index: A Simple, Accurate Method for Assessing Insulin Resistance in South Asians. J Endocr Soc. 2022;7(3):bvac189. Published 2022 Dec 10. doi: 10.1210/jendso/bvac189

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Article Source : Journal of the Endocrine Society

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