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A nutritional biomarker score of the Mediterranean diet and incident type 2 diabetes: Integrated analysis of data from the MedLey randomised controlled trial and the EPIC-InterAct case-cohort study.
Sobiecki, JG, Imamura, F, Davis, CR, Sharp, SJ, Koulman, A, Hodgson, JM, Guevara, M, Schulze, MB, Zheng, JS, Agnoli, C, et al
PLoS medicine. 2023;20(4):e1004221
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Self-reported adherence to the Mediterranean diet (MedDiet) has been associated with a lower incidence of type 2 diabetes (T2D). However, as no biological indicators of whether people are really following the MedDiet have been recorded, it is difficult to definitively ascertain any associations. This post-hoc analysis of a randomised control trial and a cohort study aimed to determine indicative nutritional biomarkers associated with the MedDiet and to see if associations exist with the incidence of T2D. The study formulated a biomarker score based on 29 different nutrients that are in abundance in the MedDiet. This score was then applied to an observational study and showed that as the score went up and therefore adherence to the diet, the incidence of T2D went down and vice versa. Higher adherence to the MedDiet resulted in an 11% decrease in the incidence of T2D. It was concluded that adherence to the MedDiet may help to prevent T2D. This study could be used by healthcare professionals to recommend the commencement of the MedDiet in individuals who are risk of its development.
Abstract
BACKGROUND Self-reported adherence to the Mediterranean diet has been modestly inversely associated with incidence of type 2 diabetes (T2D) in cohort studies. There is uncertainty about the validity and magnitude of this association due to subjective reporting of diet. The association has not been evaluated using an objectively measured biomarker of the Mediterranean diet. METHODS AND FINDINGS We derived a biomarker score based on 5 circulating carotenoids and 24 fatty acids that discriminated between the Mediterranean or habitual diet arms of a parallel design, 6-month partial-feeding randomised controlled trial (RCT) conducted between 2013 and 2014, the MedLey trial (128 participants out of 166 randomised). We applied this biomarker score in an observational study, the European Prospective Investigation into Cancer and Nutrition (EPIC)-InterAct case-cohort study, to assess the association of the score with T2D incidence over an average of 9.7 years of follow-up since the baseline (1991 to 1998). We included 22,202 participants, of whom 9,453 were T2D cases, with relevant biomarkers from an original case-cohort of 27,779 participants sampled from a cohort of 340,234 people. As a secondary measure of the Mediterranean diet, we used a score estimated from dietary-self report. Within the trial, the biomarker score discriminated well between the 2 arms; the cross-validated C-statistic was 0.88 (95% confidence interval (CI) 0.82 to 0.94). The score was inversely associated with incident T2D in EPIC-InterAct: the hazard ratio (HR) per standard deviation of the score was 0.71 (95% CI: 0.65 to 0.77) following adjustment for sociodemographic, lifestyle and medical factors, and adiposity. In comparison, the HR per standard deviation of the self-reported Mediterranean diet was 0.90 (95% CI: 0.86 to 0.95). Assuming the score was causally associated with T2D, higher adherence to the Mediterranean diet in Western European adults by 10 percentiles of the score was estimated to reduce the incidence of T2D by 11% (95% CI: 7% to 14%). The study limitations included potential measurement error in nutritional biomarkers, unclear specificity of the biomarker score to the Mediterranean diet, and possible residual confounding. CONCLUSIONS These findings suggest that objectively assessed adherence to the Mediterranean diet is associated with lower risk of T2D and that even modestly higher adherence may have the potential to reduce the population burden of T2D meaningfully. TRIAL REGISTRATION Australian New Zealand Clinical Trials Registry (ANZCTR) ACTRN12613000602729 https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=363860.
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Comparison of the Effects of Fasting Glucose, Hemoglobin A1c, and Triglyceride-Glucose Index on Cardiovascular Events in Type 2 Diabetes Mellitus.
Su, WY, Chen, SC, Huang, YT, Huang, JC, Wu, PY, Hsu, WH, Lee, MY
Nutrients. 2019;11(11)
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Cardiovascular disease generally refers to the narrowing or blockage of the arteries of the heart, which can lead to a heart attack or stroke and is the major cause of death in individuals with type 2 diabetes. Identifying individuals with type 2 diabetes who are at high risk of developing cardiovascular disease could ensure better management of these patients. This retrospective observational study of 3524 individuals with type 2 diabetes aimed to investigate if the amount of sugar found in the blood over the last few months, known as haemaglobin A1c (HbA1c) can predict cardiovascular disease in individuals with type 2 diabetes. In addition, the study looked at the triglyceride-glucose (TyG) index and its relationship to cardiovascular disease outcomes. The results showed that several factors were associated with cardiovascular disease, however of main note was that the TyG index and the amount of sugar in the blood following a fast were associated with increased cardiovascular events in individuals with type 2 diabetes, but HbA1c was not. It was concluded that TyG and the blood sugar level could be used to allow early identification and management of type 2 diabetics to prevent cardiovascular events. Clinicians could use this study to justify the use of measuring the TyG index and blood sugar levels as a predictor for cardiovascular events to ensure that patients are managed not only for type 2 diabetes but also to reduce their risk of cardiovascular events in the future.
Abstract
The triglyceride-glucose (TyG) index has been correlated with insulin resistance. We aim to investigate the role of the TyG index on cardiovascular (CV) events in type 2 diabetes mellitus and compare the roles of fasting glucose, hemoglobin A1c, and the TyG index in predicting CV events. This retrospective study enrolled 3524 patients with type 2 diabetes from the Kaohsiung Medical University Research Database in 2009 in this longitudinal study and followed them until 2015. The TyG index was calculated as log (fasting triglyceride level (mg/dL) × fasting glucose level (mg/dL)/2). CV events included myocardial infarction, unstable angina, stroke, hospitalization for coronary artery disease, peripheral artery disease, and CV-related death. The association between variables and CV events was assessed using a multivariable stepwise Cox proportional hazard analysis. Two hundred and fifteen CV events (6.1%) were recorded during a follow-up period of 5.93 years. The multivariable stepwise analysis showed that high fasting glucose (HR, 1.007; p < 0.001) and a high TyG index (HR, 1.521; p = 0.004) but not hemoglobin A1c or triglycerides were associated with a higher rate of CV events. Adding fasting glucose and the TyG index to the basic model improved the predictive ability of progression to a CV event (p < 0.001 and p = 0.018, respectively), over that of hemoglobin A1c (p = 0.084) and triglyceride (p = 0.221). Fasting glucose and the TyG index are useful parameters and stronger predictive factors than hemoglobin A1c and triglyceride for CV events and may offer an additional prognostic benefit in patients with type 2 diabetes.