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    Please use this identifier to cite or link to this item: https://irlib.pccu.edu.tw/handle/987654321/35936


    Title: Triglyceride Glucose-Body Mass Index Is a Simple and Clinically Useful Surrogate Marker for Insulin Resistance in Nondiabetic Individuals
    Authors: Er, LK (Er, Leay-Kiaw)
    Wu, S (Wu, Semon)
    Chou, HH (Chou, Hsin-Hua)
    Hsu, LA (Hsu, Lung -An)
    Teng, MS (Teng, Ming-Sheng)
    Sun, YC (Sun, Yu-Chen)
    Ko, YL (Ko, Yu-Lin)
    Contributors: 生科系
    Keywords: LIPID-ACCUMULATION PRODUCT
    VISCERAL ADIPOSITY INDEX
    WAIST CIRCUMFERENCE
    CARDIOMETABOLIC RISK
    CARDIOVASCULAR RISK
    METABOLIC SYNDROME
    DIABETIC-PATIENTS
    FASTING GLUCOSE
    CLAMP TECHNIQUE
    TISSUE
    Date: 2016-03
    Issue Date: 2017-04-17 09:55:15 (UTC+8)
    Abstract: Background
    Insulin resistance (IR) and the consequences of compensatory hyperinsulinemia are pathogenic factors for a set of metabolic abnormalities, which contribute to the development of diabetes mellitus and cardiovascular diseases. We compared traditional lipid levels and ratios and combined them with fasting plasma glucose (FPG) levels or adiposity status for determining their efficiency as independent risk factors for IR.
    Methods
    We enrolled 511 Taiwanese individuals for the analysis. The clinical usefulness of various parameters-such as traditional lipid levels and ratios; visceral adiposity indicators, visceral adiposity index (VAI), and lipid accumulation product (LAP); the product of triglyceride (TG) and FPG (the TyG index); TyG with adiposity status (TyG-body mass index [BMI]) and TyG-waist circumference index [WC]); and adipokine levels and ratios-was analyzed to identify IR.
    Results
    For all lipid ratios, the TG/high-density lipoprotein cholesterol (HDL-C) ratio had the highest additional percentage of variation in the homeostasis model assessment of insulin resistance (HOMA-IR; 7.0% in total); for all variables of interest, TyG-BMI and leptin-adiponectin ratio (LAR) were strongly associated with HOMA-IR, with 16.6% and 23.2% of variability, respectively. A logistic regression analysis revealed similar patterns. A receiver operating characteristic (ROC) curve analysis indicated that TG/HDL-C was a more efficient IR discriminator than other lipid variables or ratios. The area under the ROC curve (AUC) for VAI (0.734) and TyG (0.708) was larger than that for TG/HDL-C (0.707). TyG-BMI and LAR had the largest AUC (0.801 and 0.801, respectively).
    Conclusion TyG-BMI is a simple, powerful, and clinically useful surrogate marker for early identification of IR.
    Relation: PLOS ONE 卷: 11 期: 3 文獻號碼: e0149731
    Appears in Collections:[Department of Biology ] journal articles

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