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Metabolic phenotyping of BMI to characterize cardiometabolic risk: evidence from large population-based cohorts
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 “metabolica...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10560260/ https://www.ncbi.nlm.nih.gov/pubmed/37805498 http://dx.doi.org/10.1038/s41467-023-41963-7 |
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author | Beyene, Habtamu B. Giles, Corey Huynh, Kevin Wang, Tingting Cinel, Michelle Mellett, Natalie A. Olshansky, Gavriel Meikle, Thomas G. Watts, Gerald F. Hung, Joseph Hui, Jennie Cadby, Gemma Beilby, John Blangero, John Moses, Eric K. Shaw, Jonathan E. Magliano, Dianna J. Meikle, Peter J. |
author_facet | Beyene, Habtamu B. Giles, Corey Huynh, Kevin Wang, Tingting Cinel, Michelle Mellett, Natalie A. Olshansky, Gavriel Meikle, Thomas G. Watts, Gerald F. Hung, Joseph Hui, Jennie Cadby, Gemma Beilby, John Blangero, John Moses, Eric K. Shaw, Jonathan E. Magliano, Dianna J. Meikle, Peter J. |
author_sort | Beyene, Habtamu B. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10560260 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-105602602023-10-09 Metabolic phenotyping of BMI to characterize cardiometabolic risk: evidence from large population-based cohorts Beyene, Habtamu B. Giles, Corey Huynh, Kevin Wang, Tingting Cinel, Michelle Mellett, Natalie A. Olshansky, Gavriel Meikle, Thomas G. Watts, Gerald F. Hung, Joseph Hui, Jennie Cadby, Gemma Beilby, John Blangero, John Moses, Eric K. Shaw, Jonathan E. Magliano, Dianna J. Meikle, Peter J. Nat Commun Article 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. Nature Publishing Group UK 2023-10-07 /pmc/articles/PMC10560260/ /pubmed/37805498 http://dx.doi.org/10.1038/s41467-023-41963-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Beyene, Habtamu B. Giles, Corey Huynh, Kevin Wang, Tingting Cinel, Michelle Mellett, Natalie A. Olshansky, Gavriel Meikle, Thomas G. Watts, Gerald F. Hung, Joseph Hui, Jennie Cadby, Gemma Beilby, John Blangero, John Moses, Eric K. Shaw, Jonathan E. Magliano, Dianna J. Meikle, Peter J. Metabolic phenotyping of BMI to characterize cardiometabolic risk: evidence from large population-based cohorts |
title | Metabolic phenotyping of BMI to characterize cardiometabolic risk: evidence from large population-based cohorts |
title_full | Metabolic phenotyping of BMI to characterize cardiometabolic risk: evidence from large population-based cohorts |
title_fullStr | Metabolic phenotyping of BMI to characterize cardiometabolic risk: evidence from large population-based cohorts |
title_full_unstemmed | Metabolic phenotyping of BMI to characterize cardiometabolic risk: evidence from large population-based cohorts |
title_short | Metabolic phenotyping of BMI to characterize cardiometabolic risk: evidence from large population-based cohorts |
title_sort | metabolic phenotyping of bmi to characterize cardiometabolic risk: evidence from large population-based cohorts |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10560260/ https://www.ncbi.nlm.nih.gov/pubmed/37805498 http://dx.doi.org/10.1038/s41467-023-41963-7 |
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