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 language | English |
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Pages (from-to) | e1697-e1707 |
Journal | Journal of Clinical Endocrinology and Metabolism |
Volume | 109 |
Issue number | 9 |
Early online date | 30 Apr 2024 |
DOIs | |
Publication status | Published - 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/.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