Longitudinal associations of an exposome score with serum metabolites from childhood to adolescence.
Darren R HealyIman ZareiAnna-Maija PietiläSonja SoininenAnna ViitasaloEero A HaapalaSeppo AuriolaKati HanhinevaMarjukka KolehmainenTimo A LakkaPublished in: Communications biology (2024)
Environmental and lifestyle factors, including air pollution, impaired diet, and low physical activity, have been associated with cardiometabolic risk factors in childhood and adolescence. However, environmental and lifestyle exposures do not exert their physiological effects in isolation. This study investigated associations between an exposome score to measure the impact of multiple exposures, including diet, physical activity, sleep duration, air pollution, and socioeconomic status, and serum metabolites measured using LC-MS and NMR, compared to the individual components of the score. A general population of 504 children aged 6-9 years at baseline was followed up for eight years. Data were analysed with linear mixed-effects models using the R software. The exposome score was associated with 31 metabolites, of which 12 metabolites were not associated with any individual exposure category. These findings highlight the value of a composite score to predict metabolic changes associated with multiple environmental and lifestyle exposures since childhood.
Keyphrases
- physical activity
- air pollution
- ms ms
- weight loss
- particulate matter
- risk factors
- metabolic syndrome
- cardiovascular disease
- lung function
- depressive symptoms
- body mass index
- early life
- magnetic resonance
- human health
- young adults
- high resolution
- electronic health record
- machine learning
- mass spectrometry
- climate change
- type diabetes
- deep learning
- risk assessment
- artificial intelligence
- solid state
- atomic force microscopy