Amita Maturu1, Peter DeWitt2, Philip A Kern3, Neda Rasouli4. 1. Division of Endocrinology, Diabetes and Metabolism, University of Colorado, Aurora, CO, USA and VA Eastern Colorado Health Care System, Denver, CO, USA. Electronic address: amita.maturu@gmail.com. 2. Colorado School of Public Health, University of Colorado, Aurora, CO, USA. 3. Division of Endocrinology and Molecular Medicine and the Barnstable Brown Diabetes and Obesity Center, University of Kentucky, Lexington, KY, USA. 4. Division of Endocrinology, Diabetes and Metabolism, University of Colorado, Aurora, CO, USA and VA Eastern Colorado Health Care System, Denver, CO, USA.
Abstract
BACKGROUND: The TG/HDL-C ratio is used as a marker of insulin resistance (IR) in Caucasians. However, there are conflicting data on TG/HDL-C ratio as a predictor of IR in African Americans. Compared to Caucasians, African Americans have lower TG levels and increased insulin levels despite a greater risk for diabetes. We hypothesized that the TG/HDL-C ratio is predictive of IR and/or β-cell function in African American (AA) women. METHODS: Non-diabetic AA women (n = 41) with a BMI > 25 kg/m(2) underwent frequently sampled intravenous glucose tolerance test (FSIGTT). Insulin sensitivity (SI) and the acute insulin response to glucose (AIRg) were measured using minimal model and β-cell function was determined by disposition index (DI = S I*AIRg). IR was defined as the lowest tertile of SI (<1.8 × 10(-4)min(-1)/μU/ml) and inadequate β cell compensation was defined as the lowest tertile of DI (< 900). Data were analyzed using logistic regression models and area under the receiver operating characteristic curve (AUC-ROC). An AUC-ROC > 0.70 was defined as significant discrimination. RESULTS: The mean (± SD) age was 38.5 ± 11.3 years, with BMI of 33.5 ± 6.7 kg/m(2) and fasting glucose of 86.5 ± 10.5 mg/dL. The AUC-ROC for the prediction of DI < 900 was 0.74 indicating that a higher TG/HDL-C ratio was associated with decreased DI. However, the AUC-ROC for prediction of IR or low AIRg (<335 μU/ml) was not significant. CONCLUSION: This study confirmed that the TG/HDL-C ratio is a poor predictor of IR in AA women. However, we did show an inverse association between the TG/HDL-C ratio and β-cell function, suggesting that this simple tool may effectively identify AA women at risk for DM2.
BACKGROUND: The TG/HDL-C ratio is used as a marker of insulin resistance (IR) in Caucasians. However, there are conflicting data on TG/HDL-C ratio as a predictor of IR in African Americans. Compared to Caucasians, African Americans have lower TG levels and increased insulin levels despite a greater risk for diabetes. We hypothesized that the TG/HDL-C ratio is predictive of IR and/or β-cell function in African American (AA) women. METHODS:Non-diabetic AA women (n = 41) with a BMI > 25 kg/m(2) underwent frequently sampled intravenous glucose tolerance test (FSIGTT). Insulin sensitivity (SI) and the acute insulin response to glucose (AIRg) were measured using minimal model and β-cell function was determined by disposition index (DI = S I*AIRg). IR was defined as the lowest tertile of SI (<1.8 × 10(-4)min(-1)/μU/ml) and inadequate β cell compensation was defined as the lowest tertile of DI (< 900). Data were analyzed using logistic regression models and area under the receiver operating characteristic curve (AUC-ROC). An AUC-ROC > 0.70 was defined as significant discrimination. RESULTS: The mean (± SD) age was 38.5 ± 11.3 years, with BMI of 33.5 ± 6.7 kg/m(2) and fasting glucose of 86.5 ± 10.5 mg/dL. The AUC-ROC for the prediction of DI < 900 was 0.74 indicating that a higher TG/HDL-C ratio was associated with decreased DI. However, the AUC-ROC for prediction of IR or low AIRg (<335 μU/ml) was not significant. CONCLUSION: This study confirmed that the TG/HDL-C ratio is a poor predictor of IR in AA women. However, we did show an inverse association between the TG/HDL-C ratio and β-cell function, suggesting that this simple tool may effectively identify AA women at risk for DM2.
Authors: Kendra A Young; Amita Maturu; Carlos Lorenzo; Carl D Langefeld; Lynne E Wagenknecht; Yii-Der I Chen; Kent D Taylor; Jerome I Rotter; Jill M Norris; Neda Rasouli Journal: J Diabetes Complications Date: 2018-11-03 Impact factor: 2.852
Authors: Neda Rasouli; Naji Younes; Kristina M Utzschneider; Silvio E Inzucchi; Ashok Balasubramanyam; Andrea L Cherrington; Faramarz Ismail-Beigi; Robert M Cohen; Darin E Olson; Ralph A DeFronzo; William H Herman; John M Lachin; Steven E Kahn Journal: Diabetes Care Date: 2020-12-17 Impact factor: 17.152