ArticleMetabolic syndrome and related disorders2012
Opportunities for using lipoprotein subclass profile by nuclear magnetic resonance spectroscopy in assessing insulin resistance and diabetes prediction.
Article in Metabolic syndrome and related disorders, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 19 citations in OpenAlex.
- Pecan Intake Improves Lipoprotein Particle Concentrations Compared with Usual Intake in Adults at Increased Risk of Cardiometabolic Diseases: A Randomized Controlled Trial.The Journal of nutrition · 2025Trial
- Effect of behavioral weight-loss program on biomarkers of cardiometabolic disease risk: Heart Health Study randomized trial.Obesity (Silver Spring, Md.) · 2023Trial
- Differential NMR Lipoprotein Profiles and Prediction of Insulin Resistance and Metabolic Syndrome by LP-IR Among Adult Chronic Hepatitis B Patients.Journal of clinical medicine · 2025Article
- Review
- Non-Pharmacological Treatments for Insulin Resistance: Effective Intervention of Plant-Based Diets-A Critical Review.Nutrients · 2022Review
- Effects of Amount, Intensity, and Mode of Exercise Training on Insulin Resistance and Type 2 Diabetes Risk in the STRRIDE Randomized Trials.Frontiers in physiology · 2021Article
- Article
- Lifestyle modification interventions differing in intensity and dietary stringency improve insulin resistance through changes in lipoprotein profiles.Obesity science & practice · 2016Article
- Genetics of non-conventional lipoprotein fractions.Current genetic medicine reports · 2015Article
- Lipoprotein insulin resistance index: a lipoprotein particle-derived measure of insulin resistance.Metabolic syndrome and related disorders · 2014Observational
- Article
- Effect of relative weight group change on nuclear magnetic resonance spectroscopy derived lipoprotein particle size and concentrations among adolescents.The Journal of pediatrics · 2014Article
- Sex-specific associations between screen time and lipoprotein subfractions.International journal of sport nutrition and exercise metabolism · 2014Article
- New tools for weight-loss therapy enable a more robust medical model for obesity treatment: rationale for a complications-centric approach.Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical EndocrinologistsReview
Corrections and comments
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Authors and funding
5 authors at 4 institutions in 1 country.
Funding
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.