277 - Establishing reference intervals for triglyceride containing lipoprotein sub-fraction metabolites measured using Nuclear Magnetic Resonance Spectroscopy in a UK population (ID 950)
- Roshni Joshi, United Kingdom
- Aroon D. Hingorani, United Kingdom
- Jorgen Engmann, United Kingdom
- Caroline Dale, United Kingdom
- Tom Gaunt, United Kingdom
- Barbara Jefferis, United Kingdom
- Debbie Lawlor, United Kingdom
- Jackie Price, United Kingdom
- Olia Papacosta, United Kingdom
- Tina Shah, United Kingdom
- Therese Tillin, United Kingdom
- Nishi Chaturvedi, United Kingdom
- Mika Kivimaki, United Kingdom
- Dinah Kuh, United Kingdom
- Meena Kumari, United Kingdom
- Alun Hughes, United Kingdom
- Peter Whincup, United Kingdom
- Juan P. Casas, United States of America
- Steve E. Humphries, United Kingdom
- A F. Schmidt, United Kingdom
- S G. Wannamethee, United Kingdom
Abstract
Background and Aims
Nuclear magnetic resonance (NMR) allows trigtlcerides (TGs) to be subclassified into 14 different classes based on particle size and lipid content. We recently showed that these sub-fractions have differential associations with cardiovascular disease (CVD) events. Here we report the distributions and define reference interval ranges for 14 TG-containing lipoprotein sub-fraction metabolites.
Methods
Data from 12,788 participants from 4 cohort studies contributing to the UCL-Edinburgh-Bristol (UCLEB) consortium were used in the analysis. Lipoprotein sub-fraction measurements utilised the Nightingale NMR platform. The empirical distribution of each metabolite was assessed, and reference interval ranges were calculated for sex and age groups (<55, 55-65, >65 years). Additionally, we determine the distribution across BMI, smoking status, CVD, type 2 diabetes mellites (T2DM), and disease-free subjects.
Results
Reference intervals (2.5th-97.5th percentile) are shown in figure 1. Intervals were comparable across age and sex. Disease free subjects had smaller reference intervals compared to subjects with CVD and T2DM, which had similar interval ranges. Total TG concentration in VLDL, IDL, LDL and HDL sub-classes increased with increasing age and BMI. TG sub-fraction concentrations were significantly higher in ever smokers compared to never smokers (figure 2).
Conclusions
This study is the first to establish reference interval ranges for 14 triglyceride containing lipoprotein sub-fraction metabolites, measured using the NMR platform for men and women in a UK population. NMR metabolite profiling is a better predictor of CVD risk relative to clinical chemistry methods. This study describes the distribution of 14 TG sub-fractions to aid the potential clinical utility of NMR lipid measures in the future.
