ArticleThe American journal of clinical nutrition2024
The association between body mass index and metabolite response to a liquid mixed meal challenge: a Mendelian randomization study.
Article in The American journal of clinical nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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Who cites it
5 citing papers in PubMed, 4 citations in OpenAlex.
- Calibrated dietary patterns and cancer risk in the women's health initiative cohorts.American journal of epidemiology · 2026Observational
- Leveraging Multiomic Signatures to Predict Body Composition.Advances in nutrition (Bethesda, Md.) · 2026Review
- Candidate Obesity Biomarkers Identified Through Multi-Omics Analysis, Mendelian Randomization, and Mediation Analysis.Food science & nutrition · 2026Article
- Metabotype identification via fasting and postprandial metabolomics and its association with type 2 diabetes incidence.Cardiovascular diabetology · 2025Article
- Longitudinal Metabolomics Data Analysis Informed by Mechanistic Models.Metabolites · 2024Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMetabolite abundance is a dynamic trait that varies in response to environmental stimuli and phenotypic traits, such as food consumption and body mass index (BMI, kg/m
objectivesIn this study, we used the Netherlands Epidemiology of Obesity (NEO) study data to identify observational and causal associations between BMI and metabolite response to a liquid meal.
methodsA liquid meal challenge was performed, and Nightingale Health metabolite profiles were collected in 5744 NEO participants. Observational and one-sample Mendelian randomization (MR) analysis were conducted to estimate the effect of BMI on metabolites (n = 229) in the fasting, postprandial, and response (or change in abundance) states.
resultsWe observed 473 associations with BMI (175 fasting, 188 postprandial, and 110 response) in observational analyses. In MR analyses, we observed 20 metabolite traits (5 fasting, 12 postprandial, and 3 response) to be associated with BMI. MR associations included the glucogenic amino acid alanine, which was inversely associated with BMI in the response state (β: -0.081; SE: 0.023; P = 5.91 × 10
conclusionsOverall, this study showed that MR estimates were strongly correlated with observational effect estimates, suggesting that the broad associations seen between BMI and metabolite variation has a causal underpinning. Specific effects in previously unassessed postprandial and response states are detected, and these may likely mark novel life course risk exposures driven by regular nutrition.
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