Abstract
Context: The potential associations between acylcarnitine profiles and incidence of type 2 diabetes (T2D) and whether acylcarnitines can be used to improve diabetes prediction remain unclear. Objective: To evaluate the associations between baseline and 1-year changes in acylcarnitines and their diabetes predictive ability beyond traditional risk factors. Design, Setting, and Participants: We designed a case-cohort study within the PREDIMED Study including all incident cases of T2D (n = 251) and 694 randomly selected participants at baseline (follow-up, 3.8 years). Plasma acylcarnitines were measured using a targeted approach by liquid chromatography-tandem mass spectrometry. We tested the associations between baseline and 1-year changes in individual acylcarnitines and T2D risk using weighted Cox regression models. We used elastic net regressions to select acylcarnitines for T2D prediction and compute a weighted score using a cross-validation approach. Results: An acylcarnitine profile, especially including short- and long-chain acylcarnitines, was significantly associated with a higher risk of T2D independent of traditional risk factors. The relative risks of T2D per SD increment of the predictive model scores were 4.03 (95% CI, 3.00 to 5.42; P < 0.001) for the conventional model and 4.85 (95% CI, 3.65 to 6.45; P <0.001) for the model including acylcarnitines, with a hazard ratio of 1.33 (95% CI, 1.08 to 1.63; P < 0.001) attributed to the acylcarnitines. Including the acylcarnitines into the model did not significantly improve the area under the receiver operator characteristic curve (0.86 to 0.88, P = 0.61). A 1-year increase in C4OHcarnitine was associated with higher risk of T2D [per SD increment, 1.44 (1.03 to 2.01)]. Conclusions: An acylcarnitine profile, mainly including short- and long-chain acylcarnitines, was significantly associated with higher T2D risk in participants at high cardiovascular risk. The inclusion of acylcarnitines into the model did not significantly improve the T2D prediction C-statistics beyond traditional risk factors, including fasting glucose.
| Originalsprog | Engelsk |
|---|---|
| Tidsskrift | Journal of Clinical Endocrinology and Metabolism |
| Vol/bind | 104 |
| Udgave nummer | 5 |
| Sider (fra-til) | 1508-1519 |
| Antal sider | 12 |
| ISSN | 0021-972X |
| DOI | |
| Status | Udgivet - 2019 |
| Udgivet eksternt | Ja |
Bibliografisk note
Funding Information:This work was supported by National Institutes of Health research Grant NIDDK-R01DK 102896. The PREDIMED trial was supported by the official funding agency for biomedical research of the Spanish government, Instituto de Salud Carlos III, through grants provided to research networks specifically developed for the trial (Grants RTIC G03/ 140 to R.E. and RTIC RD 06/0045 to M.A.M.-G., as well as grants through the Centro de Investigación Biomédica enRed de Fisiopatoloǵia de la Obesidad y Nutrición), and by grants from the Centro Nacional de Investigaciones Cardiovasculares (Grant CNIC 06/2007), Fondo de Investigación Sanitaria-Fondo Europeo de Desarrollo Regional (Grants PI04-2239, PI 05/2584, CP06/00100, PI07/0240, PI07/1138, PI07/0954, PI 07/0473, PI10/01407, PI10/02658, PI11/01647, P11/02505, and PI13/ 00462), the Ministerio de Ciencia e Innovación (Grants AGL-2009-13906-C02 and AGL2010-22319-C03), Fundación Mapfre 2010, Consejería de Salud de la Junta de Andalucía (Grant PI0105/2007), the Public Health Division of the Department of Health of the Autonomous Government of Catalonia, Generalitat Valenciana (Grants ACOMP06109, GVA-COMP2010-181, GVACOMP2011-151, CS2010-AP- 111, and CS2011-AP-042), and by the Regional Government of Navarra (Grant P27/2011). M.G.-F. was supported by American Diabetes Association Grant 1-18-PMF-029. None of the funding sources played a role in the design, collection, analysis, or interpretation of the data or in the decision to submit the manuscript for publication.
Publisher Copyright:
Copyright © 2019 Endocrine Society.