Quantification of lipoproteins by proton nuclear magnetic resonance spectroscopy (1H-NMRS) improves the prediction of cardiac autonomic dysfunction in patients with type 1 diabetes

Aims: To assess if advanced characterization of serum glycoprotein and lipoprotein profile, measured by proton nuclear magnetic resonance spectroscopy (H-1-NMRS) improves a predictive clinical model of cardioautonomic neuropathy (CAN) in subjects with type 1 diabetes (T1D).Methods: Cross-sectional study (ClinicalTrials.gov Identifier: NCT04950634). CAN was diagnosed using Ewing's score. Advanced characterization of macromolecular complexes including glycoprotein and lipoprotein profiles in serum samples were measured by H-1-NMRS. We addressed the relationships between these biomarkers and CAN using correlation and regression analyses. Diagnostic performance was assessed by analyzing their areas under the receiver operating characteristic curves (AUC(ROC)).Results: Three hundred and twenty-three patients were included (46% female, mean age and duration of diabetes of 41 +/- 13 years and 19 +/- 11 years, respectively). The overall prevalence of CAN was 28% [95% confidence interval (95%CI): 23; 33]. Glycoproteins such as N-acetylglucosamine/galactosamine and sialic acid showed strong correlations with inflammatory markers such as high-sensitive C-reactive protein, fibrinogen, IL-10, IL-6, and TNF-alpha. On the contrary, we did not find any association between the former and CAN. A stepwise binary logistic regression model (R-2 = 0.078; P = 0.003) retained intermediate-density lipoprotein-triglycerides (IDL-TG) [beta:0.082 (95%CI: 0.005; 0.160); P = 0.039], high-density lipoprotein-triglycerides (HDL-TGL)/HDL-Cholesterol [beta:3.633 (95%CI: 0.873; 6.394); P = 0.010], and large-HDL particle number [beta: 3.710 (95%CI: 0.677; 6.744); P = 0.001] as statistically significant determinants of CAN. Adding these lipoprotein particles to a clinical prediction model of CAN that included age, duration of diabetes, and A(1c) enhanced its diagnostic performance, improving AUC(ROC) from 0.546 (95%CI: 0.404; 0.688) to 0.728 (95%CI: 0.616; 0.840).Conclusions: When added to clinical variables, H-1-NMRS-lipoprotein particle profiles may be helpful to identify those patients with T1D at risk of CAN.