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
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.
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
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