IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v14y2023i1d10.1038_s41467-023-41963-7.html
   My bibliography  Save this article

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

Author

Listed:
  • Habtamu B. Beyene

    (Baker Heart and Diabetes Institute
    Monash University
    La Trobe University
    Melbourne University)

  • Corey Giles

    (Baker Heart and Diabetes Institute
    La Trobe University
    Melbourne University)

  • Kevin Huynh

    (Baker Heart and Diabetes Institute
    La Trobe University
    Melbourne University)

  • Tingting Wang

    (Baker Heart and Diabetes Institute
    La Trobe University
    Melbourne University)

  • Michelle Cinel

    (Baker Heart and Diabetes Institute)

  • Natalie A. Mellett

    (Baker Heart and Diabetes Institute)

  • Gavriel Olshansky

    (Baker Heart and Diabetes Institute)

  • Thomas G. Meikle

    (Baker Heart and Diabetes Institute
    La Trobe University)

  • Gerald F. Watts

    (University of Western Australia
    Royal Perth Hospital)

  • Joseph Hung

    (University of Western Australia)

  • Jennie Hui

    (PathWest Laboratory Medicine of Western Australia
    University of Western Australia
    University of Western Australia)

  • Gemma Cadby

    (University of Western Australia)

  • John Beilby

    (University of Western Australia)

  • John Blangero

    (The University of Texas Rio Grande Valley)

  • Eric K. Moses

    (University of Western Australia
    University of Tasmania)

  • Jonathan E. Shaw

    (Baker Heart and Diabetes Institute
    Monash University)

  • Dianna J. Magliano

    (Baker Heart and Diabetes Institute
    Monash University)

  • Peter J. Meikle

    (Baker Heart and Diabetes Institute
    Monash University
    La Trobe University
    Melbourne University)

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.

Suggested Citation

  • 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 & , 2023. "Metabolic phenotyping of BMI to characterize cardiometabolic risk: evidence from large population-based cohorts," Nature Communications, Nature, vol. 14(1), pages 1-19, December.
    • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-41963-7
    DOI: 10.1038/s41467-023-41963-7
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-023-41963-7
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/s41467-023-41963-7?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Adam E. Locke & Bratati Kahali & Sonja I. Berndt & Anne E. Justice & Tune H. Pers & Felix R. Day & Corey Powell & Sailaja Vedantam & Martin L. Buchkovich & Jian Yang & Damien C. Croteau-Chonka & Tonu , 2015. "Genetic studies of body mass index yield new insights for obesity biology," Nature, Nature, vol. 518(7538), pages 197-206, February.
    2. Virginia W Chang & Kenneth M Langa & David Weir & Theodore J Iwashyna, 2017. "The obesity paradox and incident cardiovascular disease: A population-based study," PLOS ONE, Public Library of Science, vol. 12(12), pages 1-12, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Cecilia Pessoa Rodrigues & Aindrila Chatterjee & Meike Wiese & Thomas Stehle & Witold Szymanski & Maria Shvedunova & Asifa Akhtar, 2021. "Histone H4 lysine 16 acetylation controls central carbon metabolism and diet-induced obesity in mice," Nature Communications, Nature, vol. 12(1), pages 1-21, December.
    2. Yi Huang & Anyongqi Wang & Wenjiang Zhou & Baoguo Li & Linshan Zhang & Agata M. Rudolf & Zengguang Jin & Catherine Hambly & Guanlin Wang & John R. Speakman, 2024. "Maternal dietary fat during lactation shapes single nucleus transcriptomic profile of postnatal offspring hypothalamus in a sexually dimorphic manner in mice," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    3. Jie Huang & Jennifer E. Huffman & Yunfeng Huang & Ítalo Valle & Themistocles L. Assimes & Sridharan Raghavan & Benjamin F. Voight & Chang Liu & Albert-László Barabási & Rose D. L. Huang & Qin Hui & Xu, 2022. "Genomics and phenomics of body mass index reveals a complex disease network," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    4. Samuel Baker & Pietro Biroli & Hans van Kippersluis & Stephanie von Hinke, 2022. "Beyond Barker: Infant Mortality at Birth and Ischaemic Heart Disease in Older Age," Bristol Economics Discussion Papers 22/765, School of Economics, University of Bristol, UK.
    5. Parsa Akbari & Olukayode A. Sosina & Jonas Bovijn & Karl Landheer & Jonas B. Nielsen & Minhee Kim & Senem Aykul & Tanima De & Mary E. Haas & George Hindy & Nan Lin & Ian R. Dinsmore & Jonathan Z. Luo , 2022. "Multiancestry exome sequencing reveals INHBE mutations associated with favorable fat distribution and protection from diabetes," Nature Communications, Nature, vol. 13(1), pages 1-17, December.
    6. Viinikainen, Jutta & Bryson, Alex & Böckerman, Petri & Kari, Jaana T. & Lehtimäki, Terho & Raitakari, Olli & Viikari, Jorma & Pehkonen, Jaakko, 2022. "Does better education mitigate risky health behavior? A mendelian randomization study," Economics & Human Biology, Elsevier, vol. 46(C).
    7. Mateus H. Gouveia & Amy R. Bentley & Thiago P. Leal & Eduardo Tarazona-Santos & Carlos D. Bustamante & Adebowale A. Adeyemo & Charles N. Rotimi & Daniel Shriner, 2023. "Unappreciated subcontinental admixture in Europeans and European Americans and implications for genetic epidemiology studies," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    8. Sonali Pechlivanis & Susanne Moebus & Nils Lehmann & Raimund Erbel & Amir A Mahabadi & Per Hoffmann & Karl-Heinz Jöckel & Markus M Nöthen & Hagen S Bachmann & on behalf of the Heinz Nixdorf Recall Stu, 2020. "Genetic risk scores for coronary artery disease and its traditional risk factors: Their role in the progression of coronary artery calcification—Results of the Heinz Nixdorf Recall study," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-18, May.
    9. Emmanuel Cohen & Norbert Amougou & Amandine Ponty & Margaux Guerrien & Wakilongo Wakenge & Glory Chidumwa & Rihlat Said-Mohamed & Léopold K. Fezeu & Patrick Pasquet, 2022. "Direct and Indirect Determinants of Body Mass Index in Both Major Ethnic Groups Experiencing the Nutritional Transition in Cameroon," IJERPH, MDPI, vol. 19(10), pages 1-17, May.
    10. Vikesh Amin & Jere R. Behrman & Jason M. Fletcher & Carlos A. Flores & Alfonso Flores‐Lagunes & Hans‐Peter Kohler, 2021. "Genetic risks, adolescent health, and schooling attainment," Health Economics, John Wiley & Sons, Ltd., vol. 30(11), pages 2905-2920, November.
    11. Ada J. S. Chan & Worrawat Engchuan & Miriam S. Reuter & Zhuozhi Wang & Bhooma Thiruvahindrapuram & Brett Trost & Thomas Nalpathamkalam & Carol Negrijn & Sylvia Lamoureux & Giovanna Pellecchia & Rohan , 2022. "Genome-wide rare variant score associates with morphological subtypes of autism spectrum disorder," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
    12. Marcin Kierczak & Nima Rafati & Julia Höglund & Hadrien Gourlé & Valeria Lo Faro & Daniel Schmitz & Weronica E. Ek & Ulf Gyllensten & Stefan Enroth & Diana Ekman & Björn Nystedt & Torgny Karlsson & Ås, 2022. "Contribution of rare whole-genome sequencing variants to plasma protein levels and the missing heritability," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    13. Frank Windmeijer & Xiaoran Liang & Fernando P. Hartwig & Jack Bowden, 2021. "The confidence interval method for selecting valid instrumental variables," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 83(4), pages 752-776, September.
    14. Inga Petraviciene & Regina Grazuleviciene & Sandra Andrusaityte & Audrius Dedele & Mark J. Nieuwenhuijsen, 2018. "Impact of the Social and Natural Environment on Preschool-Age Children Weight," IJERPH, MDPI, vol. 15(3), pages 1-14, March.
    15. Zhonghua Liu & Ting Ye & Baoluo Sun & Mary Schooling & Eric Tchetgen Tchetgen, 2023. "Mendelian randomization mixed‐scale treatment effect robust identification and estimation for causal inference," Biometrics, The International Biometric Society, vol. 79(3), pages 2208-2219, September.
    16. Saaket Agrawal & Minxian Wang & Marcus D. R. Klarqvist & Kirk Smith & Joseph Shin & Hesam Dashti & Nathaniel Diamant & Seung Hoan Choi & Sean J. Jurgens & Patrick T. Ellinor & Anthony Philippakis & Me, 2022. "Inherited basis of visceral, abdominal subcutaneous and gluteofemoral fat depots," Nature Communications, Nature, vol. 13(1), pages 1-17, December.
    17. Koen F. Dekkers & Roderick C. Slieker & Andreea Ioan-Facsinay & Maarten Iterson & M. Arfan Ikram & Marleen M. J. Greevenbroek & Jan H. Veldink & Lude Franke & Dorret I. Boomsma & P. Eline Slagboom & J, 2023. "Lipid-induced transcriptomic changes in blood link to lipid metabolism and allergic response," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    18. Jacob Joseph & Chang Liu & Qin Hui & Krishna Aragam & Zeyuan Wang & Brian Charest & Jennifer E. Huffman & Jacob M. Keaton & Todd L. Edwards & Serkalem Demissie & Luc Djousse & Juan P. Casas & J. Micha, 2022. "Genetic architecture of heart failure with preserved versus reduced ejection fraction," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    19. Lili Liu & Atlas Khan & Elena Sanchez-Rodriguez & Francesca Zanoni & Yifu Li & Nicholas Steers & Olivia Balderes & Junying Zhang & Priya Krithivasan & Robert A. LeDesma & Clara Fischman & Scott J. Heb, 2022. "Genetic regulation of serum IgA levels and susceptibility to common immune, infectious, kidney, and cardio-metabolic traits," Nature Communications, Nature, vol. 13(1), pages 1-17, December.
    20. Shaan Khurshid & Julieta Lazarte & James P. Pirruccello & Lu-Chen Weng & Seung Hoan Choi & Amelia W. Hall & Xin Wang & Samuel F. Friedman & Victor Nauffal & Kiran J. Biddinger & Krishna G. Aragam & Pu, 2023. "Clinical and genetic associations of deep learning-derived cardiac magnetic resonance-based left ventricular mass," Nature Communications, Nature, vol. 14(1), pages 1-11, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-41963-7. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.