NMR-determined lipoprotein subclass profile predicts type 2 diabetes.
OBJECTIVE
To determine whether nuclear magnetic resonance (NMR)-determined lipoprotein profiles predict type 2 diabetes.


METHODS
Subjects were 813 male and female participants in the Melbourne Collaborative Cohort Study, aged 40-69 years at baseline (1990-1994), and with a baseline fasting plasma glucose <7.0 mmol/L. Incident type 2 diabetes was identified in 1994-1998 by self-report and confirmation from doctors. Eligible cases and a random group of controls were selected, with NMR data available for 59 cases and 754 non-cases.


RESULTS
Concentration of very low density lipoprotein (VLDL) particles (positive) and high density lipoprotein (HDL) particle size (negative) were selected by stepwise regression as predictors of type 2 diabetes. These associations were independent of other non-lipid risk factors, but not plasma triglycerides. Factor analysis identified a factor from NMR variables, explaining 47% of their variation, and characterized by a positive correlation with VLDL, particularly large and medium sized; more low density lipoprotein (LDL) that were smaller; and relatively smaller, but not more HDL particles. This factor was positively associated with diabetes incidence, but not independently of triglycerides.


CONCLUSIONS
We identified an atherogenic NMR lipoprotein profile in people who developed diabetes, but this did not improve diabetes prediction beyond conventional triglyceride levels.
Hodge
Allison M
AM
University of Melbourne, Department of Medicine, St Vincent's Hospital, Melbourne, Australia. ahodge@medstv.unimelb.edu.au
Jenkins
Alicia J
AJ
English
Dallas R
DR
O'Dea
Kerin
K
Giles
Graham G
GG
D000328:Adult; D003924:Diabetes Mellitus, Type 2 / Q000175:diagnosis / Q000378:metabolism*; D005260:Female; D006801:Humans; D008074:Lipoproteins / Q000032:analysis* / Q000145:classification*; D009682:Magnetic Resonance Spectroscopy / Q000379:methods; D008297:Male; D008875:Middle Aged
D008074:Lipoproteins