Metabolic phenotyping of BMI to characterize cardiometabolic risk: evidence from large population-based cohorts
Open Access
- 7 October 2023
- journal article
- research article
- Published by Springer Nature in Nature Communications
- Vol. 14 (1) , 1-19
Abstract
Obesity is a risk factor for type 2 diabetes and cardiovascular disease. However, a substantial proportion of patients with these conditions have a seemingly normal body mass index (BMI). Conversely, not all obese individuals present with metabolic disorders giving rise to the concept of “metabolically healthy obese”. We use lipidomic-based models for BMI to calculate a metabolic BMI score (mBMI) as a measure of metabolic dysregulation associated with obesity. Using the difference between mBMI and BMI (mBMIΔ), we identify individuals with a similar BMI but differing in their metabolic health and disease risk profiles. Exercise and diet associate with mBMIΔ suggesting the ability to modify mBMI with lifestyle intervention. Our findings show that, the mBMI score captures information on metabolic dysregulation that is independent of the measured BMI and so provides an opportunity to assess metabolic health to identify “at risk” individuals for targeted intervention and monitoring.Keywords
All Related Versions
Funding Information
- Victorian Government’s Operational Infrastructure Support Program Health Promotion Foundation of Western Australia
This publication has 91 references indexed in Scilit:
- Shorthand notation for lipid structures derived from mass spectrometryJournal of Lipid Research, 2013
- A statistical selection strategy for normalization procedures in LC‐MS proteomics experiments through dataset‐dependent ranking of normalization scaling factorsProteomics, 2011
- Deleterious Associations of Sitting Time and Television Viewing Time With Cardiometabolic Risk BiomarkersDiabetes Care, 2009
- Asian Americans: Diabetes Prevalence Across U.S. and World Health Organization Weight ClassificationsDiabetes Care, 2009
- Update of the LIPID MAPS comprehensive classification system for lipidsJournal of Lipid Research, 2009
- Effect of BMI on Lifetime Risk for Diabetes in the U.S.Diabetes Care, 2007
- Association of Television Viewing With Fasting and 2-h Postchallenge Plasma Glucose Levels in Adults Without Diagnosed DiabetesDiabetes Care, 2007
- Beneficial Associations of Physical Activity With 2-h but Not Fasting Blood Glucose in Australian AdultsDiabetes Care, 2006
- A comprehensive classification system for lipidsJournal of Lipid Research, 2005
- A Randomized Trial of a Low-Carbohydrate Diet for ObesityNew England Journal of Medicine, 2003