Skip to main navigation Skip to search Skip to main content

The Association of Cardiometabolic, Diet and Lifestyle Parameters With Plasma Glucagon-like Peptide-1: An IMI DIRECT Study

  • Rebeca Eriksen
  • , Margaret C. White
  • , Adem Y. Dawed
  • , Isabel Garcia Perez
  • , Joram M. Posma
  • , Mark Haid
  • , Sapna Sharma
  • , Cornelia Prehn
  • , E. Louise Thomas
  • , Robert W. Koivula
  • , Roberto Bizzotto
  • , Andrea Mari
  • , Giuseppe N. Giordano
  • , Imre Pavo
  • , Jochen M. Schwenk
  • , Federico De Masi
  • , Konstantinos D. Tsirigos
  • , Søren Brunak
  • , Ana Viñuela
  • , Anubha Mahajan
  • Timothy J. McDonald, Tarja Kokkola, Femke Rutters, Joline Beulens, Mirthe Muilwijk, Marieke Blom, Petra Elders, Tue H. Hansen, Juan Fernandez-Tajes, Angus Jones, Chris Jennison, Mark Walker, Mark I. McCarthy, Oluf Pedersen, Hartmut Ruetten, Ian Forgie, Jens J. Holst, Henrik S. Thomsen, Martin Ridderstråle, Jimmy D. Bell, Jerzy Adamski, Paul W. Franks, Torben Hansen, Elaine Holmes, Gary Frost, Ewan R. Pearson
  • National Heart and Lung Institute
  • University of Dundee
  • Imperial College London
  • Health Data Research UK
  • Helmholtz Center Munich - German Research Center for Environmental Health
  • German Center for Diabetes Research (DZD e.V.)
  • University of Westminster
  • Lund University
  • University of Oxford
  • Consiglio Nazionale delle Ricerche
  • Eli Lilly Regional Operations
  • AlbaNova University Center
  • Technical University of Denmark
  • Novo Nordisk Foundation Center for Protein Research
  • Newcastle University
  • Royal Devon and Exeter NHS Foundation Trust
  • Kuopio University Hospital
  • Amsterdam Public Health
  • Novo Nordisk Foundation Center for Basic Metabolic Research
  • University of Bath, Department of Mathematical Sciences
  • NIHR Oxford Biomedical Research Centre
  • Sanofi-Aventis Deutschland GmbH
  • University of Copenhagen
  • Technical University of Munich
  • National University of Singapore
  • Harvard University

Research output: Contribution to journalArticlepeer-review

2   Link opens in a new tab Citations (SciVal)

Abstract

Context: The role of glucagon-like peptide-1 (GLP-1) in type 2 diabetes (T2D) and obesity is not fully understood. Objective: We investigate the association of cardiometabolic, diet, and lifestyle parameters on fasting and postprandial GLP-1 in people at risk of, or living with, T2D. Methods: We analyzed cross-sectional data from the two Innovative Medicines Initiative (IMI) Diabetes Research on Patient Stratification (DIRECT) cohorts, cohort 1 (n = 2127) individuals at risk of diabetes; cohort 2 (n = 789) individuals with new-onset T2D. Results: Our multiple regression analysis reveals that fasting total GLP-1 is associated with an insulin-resistant phenotype and observe a strong independent relationship with male sex, increased adiposity, and liver fat, particularly in the prediabetes population. In contrast, we showed that incremental GLP-1 decreases with worsening glycemia, higher adiposity, liver fat, male sex, and reduced insulin sensitivity in the prediabetes cohort. Higher fasting total GLP-1 was associated with a low intake of wholegrain, fruit, and vegetables in people with prediabetes, and with a high intake of red meat and alcohol in people with diabetes. Conclusion: These studies provide novel insights into the association between fasting and incremental GLP-1, metabolic traits of diabetes and obesity, and dietary intake, and raise intriguing questions regarding the relevance of fasting GLP-1 in the pathophysiology T2D.

Original languageEnglish
Pages (from-to)e1697-e1707
JournalJournal of Clinical Endocrinology and Metabolism
Volume109
Issue number9
Early online date30 Apr 2024
DOIs
Publication statusPublished - 1 Sept 2024

Data Availability Statement

This work was supported by the Innovative Medicines Initiative Joint Undertaking under grant agreement number 115317 (DIRECT), resources of which are composed of a financial contribution from the European Union's Seventh Framework Programme (FP7/2007-2013) and EFPIA companies’ in-kind contribution. G.F. was funded by Imperial College National Institute for Health Research (NIHR) BRC and is an NIHR senior investigator. I.G.-P. is supported by an NIHR Fellowship (NIHR-CDF-2017-10-032). J.M.P. is supported by a Rutherford Fund Fellowship at Health Data Research (HDR) UK (MR/S004033/1). M.Mc.C. was a Wellcome Investigator (090532, 098381, 106130, 203141, 2122590 and an NIHR Senior Investigator (Niddk. U01-DK105535). R.W.K. was funded by a STAR Award Novo Nordisk-cofinanced PhD fellowship. This work was supported in part by ERC-2015-CoG_NASCENT_681742 and the Swedish Research Council; strategic funding for Lund University Diabetes Centre, where some of the work described herein was performed, was provided by the Swedish Research Council, Strategic Research Area Exodiab, (Dnr 2009-1039), the Swedish Foundation for Strategic Research (IRC15-0067), the Swedish Research Council, Linnaeus grant (Dnr 349-2006-237). E.P. holds a Wellcome Trust Investigator award (grant reference 102820/Z/13/Z). Contributions to this work by S.Bru were cofinanced by the Novo Nordisk Foundation (grant Nos. NNF17OC0027594 and NNF14CC0001).

Acknowledgements

We thank the participants across all IMI DIRECT Study centers for their contributions to the study. We also thank all the staff for their contribution to the planning, implementation, or conduct of the study: http://www.direct-diabetes.org/.

Funding

This work was supported by the Innovative Medicines Initiative Joint Undertaking under grant agreement number 115317 (DIRECT), resources of which are composed of a financial contribution from the European Union's Seventh Framework Programme (FP7/2007-2013) and EFPIA companies’ in-kind contribution. G.F. was funded by Imperial College National Institute for Health Research (NIHR) BRC and is an NIHR senior investigator. I.G.-P. is supported by an NIHR Fellowship (NIHR-CDF-2017-10-032). J.M.P. is supported by a Rutherford Fund Fellowship at Health Data Research (HDR) UK (MR/S004033/1). M.Mc.C. was a Wellcome Investigator (090532, 098381, 106130, 203141, 2122590 and an NIHR Senior Investigator (Niddk. U01-DK105535). R.W.K. was funded by a STAR Award Novo Nordisk-cofinanced PhD fellowship. This work was supported in part by ERC-2015-CoG_NASCENT_681742 and the Swedish Research Council; strategic funding for Lund University Diabetes Centre, where some of the work described herein was performed, was provided by the Swedish Research Council, Strategic Research Area Exodiab, (Dnr 2009-1039), the Swedish Foundation for Strategic Research (IRC15-0067), the Swedish Research Council, Linnaeus grant (Dnr 349-2006-237). E.P. holds a Wellcome Trust Investigator award (grant reference 102820/Z/13/Z). Contributions to this work by S.Bru were cofinanced by the Novo Nordisk Foundation (grant Nos. NNF17OC0027594 and NNF14CC0001).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • cardiometabolic markers
  • diet
  • GLP-1
  • incretin
  • insulin resistance
  • liver fat
  • nutrition
  • obesity
  • prediabetes
  • type 2 diabetes

ASJC Scopus subject areas

  • Endocrinology, Diabetes and Metabolism
  • Biochemistry
  • Endocrinology
  • Clinical Biochemistry
  • Biochemistry, medical

Fingerprint

Dive into the research topics of 'The Association of Cardiometabolic, Diet and Lifestyle Parameters With Plasma Glucagon-like Peptide-1: An IMI DIRECT Study'. Together they form a unique fingerprint.

Cite this