Multiomic signatures of body mass index identify heterogeneous health phenotypes and responses to a lifestyle intervention.
Journal
Nature medicine
ISSN: 1546-170X
Titre abrégé: Nat Med
Pays: United States
ID NLM: 9502015
Informations de publication
Date de publication:
04 2023
04 2023
Historique:
received:
28
04
2022
accepted:
02
02
2023
medline:
21
4
2023
pubmed:
22
3
2023
entrez:
21
3
2023
Statut:
ppublish
Résumé
Multiomic profiling can reveal population heterogeneity for both health and disease states. Obesity drives a myriad of metabolic perturbations and is a risk factor for multiple chronic diseases. Here we report an atlas of cross-sectional and longitudinal changes in 1,111 blood analytes associated with variation in body mass index (BMI), as well as multiomic associations with host polygenic risk scores and gut microbiome composition, from a cohort of 1,277 individuals enrolled in a wellness program (Arivale). Machine learning model predictions of BMI from blood multiomics captured heterogeneous phenotypic states of host metabolism and gut microbiome composition better than BMI, which was also validated in an external cohort (TwinsUK). Moreover, longitudinal analyses identified variable BMI trajectories for different omics measures in response to a healthy lifestyle intervention; metabolomics-inferred BMI decreased to a greater extent than actual BMI, whereas proteomics-inferred BMI exhibited greater resistance to change. Our analyses further identified blood analyte-analyte associations that were modified by metabolomics-inferred BMI and partially reversed in individuals with metabolic obesity during the intervention. 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.
Identifiants
pubmed: 36941332
doi: 10.1038/s41591-023-02248-0
pii: 10.1038/s41591-023-02248-0
pmc: PMC10115644
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
996-1008Subventions
Organisme : NIA NIH HHS
ID : U19 AG023122
Pays : United States
Organisme : NIA NIH HHS
ID : U01 AG061359
Pays : United States
Organisme : Wellcome Trust
Pays : United Kingdom
Organisme : Medical Research Council
Pays : United Kingdom
Organisme : Versus Arthritis
Pays : United Kingdom
Commentaires et corrections
Type : CommentIn
Informations de copyright
© 2023. The Author(s).
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