B4097 - Investigating the impact of variation in BMI on the metabolome using multiple study designs - 29/06/2022

B number: 
Principal applicant name: 
Laura Corbin | MRC IEU, University of Bristol (UK)
Maddy Smith, Dr David Hughes, Professor Nic Timpson
Title of project: 
Investigating the impact of variation in BMI on the metabolome using multiple study designs
Proposal summary: 

Obesity is known to have effects on cellular metabolism, which is reflected in a person’s circulating metabolome. Metabolomics, defined as the measurement and study of circulating small molecules that are the substrates and products of cellular metabolism, is increasingly used by epidemiologists to provide a functional read-out of bulk cellular activity and a proxy to individual current health. This approach also provides insight into biological pathways linking exposures and disease.

Measuring the metabolome of people with measured body mass index (BMI) allows us to look for ways in which BMI affects the metabolome. Metabolites found to be associated with BMI can then be further investigated and linked to cellular pathways – knowledge which will help us to understand the pathology of obesity. We have already begun to look at how bariatric surgery (within the By-Band-Sleeve trial (BBS), https://bristoltrialscentre.blogs.bristol.ac.uk/details-of-studies/by-ba...) and non-surgical weight loss interventions (within the DiRECT trial, https://www.directclinicaltrial.org.uk/) affect the metabolome, and we want to use the recall-by-genotype (RbG) Metabolon data in ALSPAC (https://onlinelibrary.wiley.com/doi/full/10.1002/oby.23441) to compare our results to population-level data. Bringing together data from these different study designs enables to unpick the metabolomic effects that are associated with BMI and their relevance to disease.

Impact of research: 
Characterising the metabolomic effect of BMI variation will lead to better understanding of the pathology of obesity and its related diseases.
Date proposal received: 
Monday, 27 June, 2022
Date proposal approved: 
Tuesday, 28 June, 2022
Epidemiology, Diabetes, Obesity, Mass spectrometry, Metabolomics, Statistical methods, Biological samples -e.g. blood, cell lines, saliva, etc., BMI, Genetic epidemiology, Statistical methods