The triglyceride-glucose index as an adiposity marker and a predictor of fat loss induced by a low-calorie diet
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The triglyceride-glucose index as an adiposity marker and a predictor of fat loss induced by a low-calorie diet. / Vidal-Ostos, Fernando; Ramos-Lopez, Omar; Blaak, Ellen E; Astrup, Arne; Martinez, J Alfredo.
In: European Journal of Clinical Investigation, Vol. 52, No. 1, e13674, 2022.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - The triglyceride-glucose index as an adiposity marker and a predictor of fat loss induced by a low-calorie diet
AU - Vidal-Ostos, Fernando
AU - Ramos-Lopez, Omar
AU - Blaak, Ellen E
AU - Astrup, Arne
AU - Martinez, J Alfredo
N1 - This article is protected by copyright. All rights reserved.
PY - 2022
Y1 - 2022
N2 - Background: This study aimed to investigate the putative role of the Triglyceride-glucose index (TyG index) computed as ln[TG (mg/dL) × glucose (mg/dL)/2] and derived proxies as predictors of adiposity and weight loss changes after a low calorie diet (LCD) intervention.Methods: A total of 744 adult participants from the multicenter DIOGenes intervention study were prescribed a LCD (800 kcal/day) during 8 weeks. Body composition and fat content at baseline and after 8 weeks were estimated by DEXA/BIA. A multivariate analysis approach was used to estimate the difference in ∆Weight1-2 (kg), ∆BMI1-2 (kg/m2) or ∆Fat1-2 (%) between the basal value (point 1) and after 8 weeks following a LCD (point 2), respectively. The TyG index at baseline (TyG1), after following the LCD for 8 weeks (TyG2), or the TyG index differences between both time points (∆TyG1-2) were analyzed as predictors of weight and fat changes.Results: TyG1 was associated with ∆Weight1-2 (kg) and ∆BMI1-2 (kg/m2), with β=0.812 (p = 0.017) and β=0.265 (p = 0.018), respectively. Also, TyG2 values were inversely related to ∆Fat1-2 (%), β=-1.473 (p = 0.015). Moreover, ∆TyG1-2 was associated with ∆Weight1-2 (kg) and ∆Fat1-2 (%), β= 0.689 (p = 0.045) and β=1.764 (p = 0.002), respectively. Furthermore, an association between TyG2 and resistance to fat loss was found (p = 0.015).Conclusion: TyG1 index is a good predictor of weight loss induced by LCD. Moreover, TyG2 was closely related to resistance to fat loss, while ∆TyG1-2 values were positively associated with body fat changes. Therefore, TyG index and derived estimations could be used as markers of individualized responses to energy restriction and a surrogate of body composition outcomes in clinical/epidemiological settings in obesity conditions.
AB - Background: This study aimed to investigate the putative role of the Triglyceride-glucose index (TyG index) computed as ln[TG (mg/dL) × glucose (mg/dL)/2] and derived proxies as predictors of adiposity and weight loss changes after a low calorie diet (LCD) intervention.Methods: A total of 744 adult participants from the multicenter DIOGenes intervention study were prescribed a LCD (800 kcal/day) during 8 weeks. Body composition and fat content at baseline and after 8 weeks were estimated by DEXA/BIA. A multivariate analysis approach was used to estimate the difference in ∆Weight1-2 (kg), ∆BMI1-2 (kg/m2) or ∆Fat1-2 (%) between the basal value (point 1) and after 8 weeks following a LCD (point 2), respectively. The TyG index at baseline (TyG1), after following the LCD for 8 weeks (TyG2), or the TyG index differences between both time points (∆TyG1-2) were analyzed as predictors of weight and fat changes.Results: TyG1 was associated with ∆Weight1-2 (kg) and ∆BMI1-2 (kg/m2), with β=0.812 (p = 0.017) and β=0.265 (p = 0.018), respectively. Also, TyG2 values were inversely related to ∆Fat1-2 (%), β=-1.473 (p = 0.015). Moreover, ∆TyG1-2 was associated with ∆Weight1-2 (kg) and ∆Fat1-2 (%), β= 0.689 (p = 0.045) and β=1.764 (p = 0.002), respectively. Furthermore, an association between TyG2 and resistance to fat loss was found (p = 0.015).Conclusion: TyG1 index is a good predictor of weight loss induced by LCD. Moreover, TyG2 was closely related to resistance to fat loss, while ∆TyG1-2 values were positively associated with body fat changes. Therefore, TyG index and derived estimations could be used as markers of individualized responses to energy restriction and a surrogate of body composition outcomes in clinical/epidemiological settings in obesity conditions.
KW - Faculty of Science
KW - TyG index
KW - Statistical predictors
KW - Weight loss
KW - Fat loss
KW - Precision medicine
U2 - 10.1111/eci.13674
DO - 10.1111/eci.13674
M3 - Journal article
C2 - 34453322
VL - 52
JO - European Journal of Clinical Investigation, Supplement
JF - European Journal of Clinical Investigation, Supplement
SN - 0960-135X
IS - 1
M1 - e13674
ER -
ID: 278037258