Multiomic signatures of body mass index identify heterogeneous health phenotypes and responses to a lifestyle intervention
Authors' conclusion
Taken together, our findings provide a blood atlas of the molecular perturbations associated with changes in obesity status, serving as a resource to quantify metabolic health for predictive and preventive medicine.
Study context
- Population
- Individuals enrolled in a wellness program (Arivale)Arivale cohort
- Participants
- 1,277 individuals
- Outcome
- Multiomic signatures of BMI
Methodological detailscross-sectional and longitudinal analyses, machine learning, external validation (TwinsUK)
- Cross-sectional and longitudinal analyses
- Machine learning
- External validation (TwinsUK)
Main finding
As reported in the abstract
Atlas of cross-sectional and longitudinal changes in blood analytes associated with body mass index (BMI) variation
1,111 blood analytes
Observational data: associations, not effects.
Further findings
Omics-inferred BMI trajectories during healthy lifestyle intervention
- Metabolomics-inferred BMI decreased to a greater extent than actual BMI; proteomics-inferred BMI showed greater resistance to change
Blood analyte-analyte associations
- Associations modified by metabolomics-inferred BMI and partially reversed in individuals with metabolic obesity during the intervention
Original publication
Multiomic signatures of body mass index identify heterogeneous health phenotypes and responses to a lifestyle intervention. Nat Med. Published 20 March 2023. doi:10.
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