title: Opportunities for using lipoprotein subclass profile by nuclear magnetic resonance spectroscopy in assessing insulin resistance and diabetes prediction.
abstract: The incidence of type 2 diabetes mellitus (T2DM) has reached epidemic levels, and current trends indicate that its prevalence will continue to rise. The development of T2DM can be delayed by several years, and may even be prevented, by identifying individuals at risk for T2DM and treating them with lifestyle modification and/or pharmacological therapies. There are a number of methods available for assessing the insulin resistance (IR) that characterizes, and is the precursor to, T2DM. However, current clinical methods for assessing IR, based on measures of plasma glucose and/or insulin are either laborious and time-consuming or show a low specificity. IR manifests its earliest measurable abnormalities through changes in lipoproteins, and thus we propose that by examining lipoprotein subclass profile, it may be possible to alert physicians and patients to a heightened risk of developing diabetes. This will allow us to institute appropriate lifestyle changes and treatment potentially to delay the onset or possibly prevent the progression to diabetes.
authors.affiliation: Department of Epidemiology, University of Alabama at Birmingham, Birmingham, Alabama, USA.
authors.forename: Alexis C
authors.initials: AC
authors.lastname: Frazier-Wood
authors.forename: W Timothy
authors.initials: WT
authors.lastname: Garvey
authors.forename: Tara
authors.initials: T
authors.lastname: Dall
authors.forename: Robert
authors.initials: R
authors.lastname: Honigberg
authors.forename: Ray
authors.initials: R
authors.lastname: Pourfarzib
mesh_terms: D000328:Adult; D001786:Blood Glucose / Q000378:metabolism; D001835:Body Weight; D003920:Diabetes Mellitus / Q000175:diagnosis / Q000378:metabolism*; D018450:Disease Progression; D005260:Female; D006801:Humans; D007333:Insulin Resistance; D008019:Life Style; D008074:Lipoproteins / Q000737:chemistry / Q000145:classification*; D009682:Magnetic Resonance Spectroscopy / Q000379:methods*; D008297:Male; D008875:Middle Aged; D016016:Proportional Hazards Models; D012306:Risk; D012307:Risk Factors
chemical_list: D001786:Blood Glucose; D008074:Lipoproteins