Increased particle size of triglyceride remnant lipoproteins, but not their plasma concentration or lipid content, augment risk prediction of incident diabetes: prospective results from ELSA-Brasil
| Autor: | Peter P. Toth, I. M. Bensenor, Steven R. Jones, Luiz S rgio F. Carvalho, Raul D. Santos, Andrei C. Sposito, Michael J. Blaha, Bruce Bartholow Duncan, Paulo A. Lotufo |
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| Rok vydání: | 2020 |
| Předmět: |
medicine.medical_specialty
Triglyceride business.industry Cholesterol medicine.disease chemistry.chemical_compound Endocrinology Insulin resistance chemistry Lipid content Diabetes mellitus Internal medicine Plasma concentration medicine Particle size Prediabetes Cardiology and Cardiovascular Medicine business |
| Zdroj: | European Heart Journal. 41 |
| ISSN: | 1522-9645 0195-668X |
| DOI: | 10.1093/ehjci/ehaa946.2831 |
| Popis: | Importance Predicting risk of Type 2 Diabetes Mellitus (T2DM) accurately allows allocation of resources to prevent its development. Fasting blood triglycerides are highly predictive for T2DM. Triglyceride remnant lipoproteins (TRL) more accurately reflect pathophysiological changes that underlie progression to T2DM, such as pancreatic steatosis and inflammation. We hypothesized TRL-related factors could improve risk prediction for development of T2DM. Methods We included individuals aged 35–74 years from the ELSA-Brasil cohort who had HbA1c and an oral glucose tolerance test at baseline. Regression models were used to predict incident T2DM, starting with medical history, metabolic syndrome traits (age, sex, hypertension, waist circumference [WC], HbA1c, triglycerides) and hsCRP, adding TRL-related measurements, including plasma concentration, particle size, as well as cholesterol and triglyceride content. TRL features were measured by NMR spectroscopy. Discrimination was assessed with area under receiver operator curves (AUROCs). Results Among 4,466 individuals at-risk, there were 353 new cases of T2DM after 3.7 (SD=0.6) years follow-up. We derived an 8-variable model with AUROC 0.891 (95% CI: 0.870–0.913). Overall TRL-related markers did not improve predictive capacity for T2DM. However, TRL particle diameter (TRLZ) increased AUROC, particularly in individuals without glucose abnormalities at baseline (Hba1c Conclusions TRL particle diameter improves prediction of T2DM, particularly in subjects with no glycemic abnormalities at baseline. Funding Acknowledgement Type of funding source: Public Institution(s). Main funding source(s): Brazilian Ministry of Health (Department of Science and Technology), Ministry of Science, Technology and Innovation, and the National Council for Scientific and Technological Development (CNPq) |
| Databáze: | OpenAIRE |
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