Metabolic phenotyping of BMI to characterize cardiometabolic risk: evidence from large population-based cohorts

Habtamu B. Beyene, Corey Giles, Kevin Huynh, Tingting Wang, Michelle Cinel, Natalie A. Mellett, Gavriel Olshansky, Thomas G. Meikle, Gerald F. Watts, Joseph Hung, Jennie Hui, Gemma Cadby, John Beilby, John Blangero, Eric K. Moses, Jonathan E. Shaw, Dianna J. Magliano, Peter J. Meikle

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

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.

Original languageEnglish
Article number6280
JournalNature Communications
Volume14
Issue number1
DOIs
Publication statusPublished - Dec 2023

Cite this