B4496 - Generation of NMR metabolomics in G1 at age 30 years - 17/01/2024

B number: 
Principal applicant name: 
Nic Timpson | MRC IEU, University of Bristol (UK)
Dr Laura Corbin, Maddy Smith
Title of project: 
Generation of NMR metabolomics in G1 at age 30 years
Proposal summary: 

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. Nightingale Health’s nuclear magnetic resonance (NMR) spectroscopy-based metabolomic research service enables reproducible and cost-effective measurement of lipids, inflammation, dietary intake and insulin sensitivity (https://research.nightingalehealth.com/). The platform enables absolute quantification of close to 200 metabolites and includes 39 clinically validated biomarkers. This platform has already been used to generate metabolomics data from samples collected during the G1 clinics at age 7, 15, 17 and 24 years. We propose to generate NMR data from samples collected during the age 30 clinic. This work will enable us to extend the longitudinal dataset into the latter part of early adulthood. In epidemiology, this is a traditionally understudied part of the life course but one which we believe may offer important insights into the development of disease later in adulthood.

Impact of research: 
The integration of these data into the ALSPAC catalogue will enable ourselves and other researchers to generate longitudinal profiles of metabolites and associated phenotypes from age 7 through to age 30, with many participants having multiple measures. This dataset will be perhaps the most comprehensive charting of metabolic health through time in a deeply phenotype cohort setting, and provides a useful comparator to large cross-sectional collections measured on the same platform, for example, UK Biobank.
Date proposal received: 
Thursday, 14 December, 2023
Date proposal approved: 
Monday, 18 December, 2023
Molecular genetics and genomics, Metabolic health, Metabolomics, Biological samples -e.g. blood, cell lines, saliva, etc., Biomarkers - e.g. cotinine, fatty acids, haemoglobin, etc.