scholarly journals Associations Between the Metabolic Score for Insulin Resistance Index and the Risk of Type 2 Diabetes Mellitus Among Non-Obese Adults: Insights from a Population-Based Cohort Study

2021 ◽  
Vol Volume 14 ◽  
pp. 7729-7740
Author(s):  
Xin-Tian Cai ◽  
Qing Zhu ◽  
Sha-Sha Liu ◽  
Meng-Ru Wang ◽  
Ting Wu ◽  
...  
2020 ◽  
Vol 9 (2) ◽  
pp. 321 ◽  
Author(s):  
Erwin Garcia ◽  
Irina Shalaurova ◽  
Steven P. Matyus ◽  
David N. Oskardmay ◽  
James D. Otvos ◽  
...  

Background: Quantifying mildly elevated ketone bodies is clinically and pathophysiologically relevant, especially in the context of disease states as well as for monitoring of various diets and exercise regimens. As an alternative assay for measuring ketone bodies in the clinical laboratory, a nuclear magnetic resonance (NMR) spectroscopy-based test was developed for quantification of β-hydroxybutyrate (β-HB), acetoacetate (AcAc) and acetone. Methods: The ketone body assay was evaluated for precision, linearity and stability and method comparisons were performed. In addition, plasma ketone bodies were measured in the Insulin Resistance Atherosclerosis Study (IRAS, n = 1198; 373 type 2 diabetes mellitus (T2DM) subjects). Results: β-HB and AcAc quantified using NMR and mass spectrometry and acetone quantified using NMR and gas chromatography/mass spectrometry were highly correlated (R2 = 0.996, 0.994, and 0.994 for β-HB, AcAc, acetone, respectively). Coefficients of variation (%CVs) for intra- and inter-assay precision ranged from 1.3% to 9.3%, 3.1% to 7.7%, and 3.8% to 9.1%, for β-HB, AcAc and acetone, respectively. In the IRAS, ketone bodies were elevated in subjects with T2DM versus non-diabetic individuals (p = 0.011 to ≤0.001). Age- and sex-adjusted multivariable linear regression analysis revealed that total ketone bodies and β-HB were associated directly with free fatty acids (FFAs) and T2DM and inversely with triglycerides and insulin resistance as measured by the Lipoprotein Insulin Resistance Index. Conclusions: Concentrations of the three main ketone bodies can be determined by NMR with good clinical performance, are elevated in T2DM and are inversely associated with triglycerides and insulin resistance.


2021 ◽  
Vol 160 (6) ◽  
pp. S-30
Author(s):  
Frederikke Sch⊘nfeldt Troelsen ◽  
Henrik Toft S⊘rensen ◽  
Lars Pedersen ◽  
Rune Erichsen

PLoS ONE ◽  
2015 ◽  
Vol 10 (4) ◽  
pp. e0123279 ◽  
Author(s):  
Ding-Cheng Chan ◽  
Rong-Sen Yang ◽  
Chung-Han Ho ◽  
Yau-Sheng Tsai ◽  
Jhi-Joung Wang ◽  
...  

2015 ◽  
Vol 42 (1) ◽  
pp. 38-45 ◽  
Author(s):  
Chin-Wang Hsu ◽  
Chin-Sheng Lin ◽  
Sy-Jou Chen ◽  
Shih-Hua Lin ◽  
Cheng-Li Lin ◽  
...  

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Qingqing Liu ◽  
Jie Yuan ◽  
Maerjiaen Bakeyi ◽  
Jie Li ◽  
Zilong Zhang ◽  
...  

Background. The twin epidemic of overweight/obesity and type 2 diabetes mellitus (T2DM) is a major public health problem globally, especially in China. Overweight/obese adults commonly coexist with T2DM, which is closely related to adverse health outcomes. Therefore, this study aimed to develop risk nomogram of T2DM in Chinese adults with overweight/obesity. Methods. We used prospective cohort study data for 82938 individuals aged ≥20 years free of T2DM collected between 2010 and 2016 and divided them into a training (n = 58056) and a validation set (n = 24882). Using the least absolute shrinkage and selection operator (LASSO) regression model in training set, we identified optimized risk factors of T2DM, followed by the establishment of T2DM prediction nomogram. The discriminative ability, calibration, and clinical usefulness of nomogram were assessed. The results were assessed by internal validation in validation set. Results. Six independent risk factors of T2DM were identified and entered into the nomogram including age, body mass index, fasting plasma glucose, total cholesterol, triglycerides, and family history. The nomogram incorporating these six risk factors showed good discrimination regarding the training set, with a Harrell’s concordance index (C-index) of 0.859 [95% confidence interval (CI): 0.850–0.868] and an area under the receiver operating characteristic curve of 0.862 (95% CI: 0.853–0.871). The calibration curves indicated well agreement between the probability as predicted by the nomogram and the actual probability. Decision curve analysis demonstrated that the prediction nomogram was clinically useful. The consistent of findings was confirmed using the validation set. Conclusions. The nomogram showed accurate prediction for T2DM among Chinese population with overweight and obese and might aid in assessment risk of T2DM.


2018 ◽  
Vol 54 ◽  
pp. 104-111 ◽  
Author(s):  
Roy G.P.J. de Jong ◽  
Paul J.H.L. Peeters ◽  
Andrea M. Burden ◽  
Marie L. de Bruin ◽  
Harm R. Haak ◽  
...  

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