A metabolomic signature of maternal BMI is associated with pregnancy complications across two independent pregnancy cohorts
These findings suggest that integrating metabolomic profiling into prenatal care could improve the prediction and management of adverse pregnancy outcomes.
Authors
- Klaus Bønnelykke (ORCID: https://orcid.org/0000-0003-2003-1018)
- Jessica Ann Lasky-Su (ORCID: https://orcid.org/0000-0001-6236-4705)
- David Horner (ORCID: https://orcid.org/0000-0002-0200-4561)
- Bo Chawes (ORCID: https://orcid.org/0000-0001-6846-6243)
- Rebecca Vinding (ORCID: https://orcid.org/0000-0002-7680-3040)
- Jakob Stokholm (ORCID: https://orcid.org/0000-0003-4989-9769)
- Nicole Prince (ORCID: https://orcid.org/0000-0002-8506-1122)
- Morten Arendt Rasmussen (ORCID: https://orcid.org/0000-0001-7431-5206)
- Mina Ali (ORCID: https://orcid.org/0000-0001-9995-715X)
- Mario Lovrić (ORCID: https://orcid.org/0000-0002-3541-9624)
- Tingting Wang (ORCID: https://orcid.org/0000-0002-9100-3447)
Institutions
- University of Copenhagen (DK)
- Brigham and Women's Hospital (US)
- Harvard University (US)
- Gentofte Hospital (DK)
- Copenhagen Prospective Studies on Asthma in Childhood (DK)
Publication Details
- Journal
- Communications Medicine
- Published
- 2025-12-17
- DOI
- https://doi.org/10.1038/s43856-025-01289-5
- Primary Topic
- Gestational Diabetes Research and Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Strategiske Forskningsråd
- European Commission
- Lundbeckfonden
- Novo Nordisk
- Novo Nordisk Fonden
- H. Lundbeck A/S