Skip to main content
Top
Published in: Diabetologia 1/2024

Open Access 25-10-2023 | Type 2 Diabetes | Article

The metabolomic signature of weight loss and remission in the Diabetes Remission Clinical Trial (DiRECT)

Authors: Laura J. Corbin, David A. Hughes, Caroline J. Bull, Emma E. Vincent, Madeleine L. Smith, Alex McConnachie, Claudia-Martina Messow, Paul Welsh, Roy Taylor, Michael E. J. Lean, Naveed Sattar, Nicholas J. Timpson

Published in: Diabetologia | Issue 1/2024

Login to get access

Abstract

Aims/hypothesis

High-throughput metabolomics technologies in a variety of study designs have demonstrated a consistent metabolomic signature of overweight and type 2 diabetes. However, the extent to which these metabolomic patterns can be reversed with weight loss and diabetes remission has been weakly investigated. We aimed to characterise the metabolomic consequences of a weight-loss intervention in individuals with type 2 diabetes.

Methods

We analysed 574 fasted serum samples collected within an existing RCT (the Diabetes Remission Clinical Trial [DiRECT]) (N=298). In the trial, participating primary care practices were randomly assigned (1:1) to provide either a weight management programme (intervention) or best-practice care by guidelines (control) treatment to individuals with type 2 diabetes. Here, metabolomics analysis was performed on samples collected at baseline and 12 months using both untargeted MS and targeted 1H-NMR spectroscopy. Multivariable regression models were fitted to evaluate the effect of the intervention on metabolite levels.

Results

Decreases in branched-chain amino acids, sugars and LDL triglycerides, and increases in sphingolipids, plasmalogens and metabolites related to fatty acid metabolism were associated with the intervention (Holm-corrected p<0.05). In individuals who lost more than 9 kg between baseline and 12 months, those who achieved diabetes remission saw greater reductions in glucose, fructose and mannose, compared with those who did not achieve remission.

Conclusions/interpretation

We have characterised the metabolomic effects of an integrated weight management programme previously shown to deliver weight loss and diabetes remission. A large proportion of the metabolome appears to be modifiable. Patterns of change were largely and strikingly opposite to perturbances previously documented with the development of type 2 diabetes.

Data availability

The data used for analysis are available on a research data repository (https://​researchdata.​gla.​ac.​uk/​) with access given to researchers subject to appropriate data sharing agreements. Metabolite data preparation, data pre-processing, statistical analyses and figure generation were performed in R Studio v.1.0.143 using R v.4.0.2. The R code for this study has been made publicly available on GitHub at: https://​github.​com/​lauracorbin/​metabolomics_​of_​direct.

Graphical Abstract

Appendix
Available only for authorised users
Literature
19.
go back to reference Holm S (1979) A simple sequentially rejective multiple test procedure. Scand J Stat 6(2):65–70 Holm S (1979) A simple sequentially rejective multiple test procedure. Scand J Stat 6(2):65–70
24.
go back to reference Lips MA, Van Klinken JB, Van Harmelen V et al (2014) Roux-en-Y gastric bypass surgery, but not calorie restriction, reduces plasma branched-chain amino acids in obese women independent of weight loss or the presence of type 2 diabetes. Diabetes Care 37(12):3150–3156. https://doi.org/10.2337/DC14-0195CrossRefPubMed Lips MA, Van Klinken JB, Van Harmelen V et al (2014) Roux-en-Y gastric bypass surgery, but not calorie restriction, reduces plasma branched-chain amino acids in obese women independent of weight loss or the presence of type 2 diabetes. Diabetes Care 37(12):3150–3156. https://​doi.​org/​10.​2337/​DC14-0195CrossRefPubMed
28.
go back to reference Swithers SE, Shearer J (2017) Sweetener associated with increased adiposity in young adults. Nat Rev Endocrinol 13:443–444CrossRefPubMed Swithers SE, Shearer J (2017) Sweetener associated with increased adiposity in young adults. Nat Rev Endocrinol 13:443–444CrossRefPubMed
42.
go back to reference RStudio Team (2016) RStudio: integrated development environment. RStudio Inc., Boston, MA, USA RStudio Team (2016) RStudio: integrated development environment. RStudio Inc., Boston, MA, USA
43.
go back to reference R Core Team (2020) R: a language and environment for statistical computing, R Foundation for Statistical Computing, Vienna, Austria R Core Team (2020) R: a language and environment for statistical computing, R Foundation for Statistical Computing, Vienna, Austria
Metadata
Title
The metabolomic signature of weight loss and remission in the Diabetes Remission Clinical Trial (DiRECT)
Authors
Laura J. Corbin
David A. Hughes
Caroline J. Bull
Emma E. Vincent
Madeleine L. Smith
Alex McConnachie
Claudia-Martina Messow
Paul Welsh
Roy Taylor
Michael E. J. Lean
Naveed Sattar
Nicholas J. Timpson
Publication date
25-10-2023
Publisher
Springer Berlin Heidelberg
Keyword
Type 2 Diabetes
Published in
Diabetologia / Issue 1/2024
Print ISSN: 0012-186X
Electronic ISSN: 1432-0428
DOI
https://doi.org/10.1007/s00125-023-06019-x

Other articles of this Issue 1/2024

Diabetologia 1/2024 Go to the issue
Live Webinar | 27-06-2024 | 18:00 (CEST)

Keynote webinar | Spotlight on medication adherence

Live: Thursday 27th June 2024, 18:00-19:30 (CEST)

WHO estimates that half of all patients worldwide are non-adherent to their prescribed medication. The consequences of poor adherence can be catastrophic, on both the individual and population level.

Join our expert panel to discover why you need to understand the drivers of non-adherence in your patients, and how you can optimize medication adherence in your clinics to drastically improve patient outcomes.

Prof. Kevin Dolgin
Prof. Florian Limbourg
Prof. Anoop Chauhan
Developed by: Springer Medicine
Obesity Clinical Trial Summary

At a glance: The STEP trials

A round-up of the STEP phase 3 clinical trials evaluating semaglutide for weight loss in people with overweight or obesity.

Developed by: Springer Medicine