Evidence mapPaperPMID 41407932Full record

ArticleCommunications medicine2025

A metabolomic signature of maternal BMI is associated with pregnancy complications across two independent pregnancy cohorts.

David Horner, Rebecca Vinding, Tingting Wang, Mina Ali, Mario Lovric, Nicole Prince, Jessica Lasky-Su, Klaus Bønnelykke, Jakob Stokholm, Bo Chawes and 1 more

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Article in Communications medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

David HornerCOPSAC, Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark. david.horner@dbac.dk.ORCID http://orcid.org/0000-0002-0200-4561
Rebecca VindingCOPSAC, Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark.
Tingting WangCOPSAC, Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark.ORCID http://orcid.org/0000-0002-9100-3447
Mina AliCOPSAC, Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark.
Mario LovricCOPSAC, Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark.ORCID http://orcid.org/0000-0002-3541-9624
Nicole PrinceChanning Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0002-8506-1122
Jessica Lasky-SuChanning Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Klaus BønnelykkeCOPSAC, Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark.ORCID http://orcid.org/0000-0003-2003-1018
Jakob StokholmCOPSAC, Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark.ORCID http://orcid.org/0000-0003-4989-9769
Bo ChawesCOPSAC, Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark.ORCID http://orcid.org/0000-0001-6846-6243
Morten Arendt RasmussenCOPSAC, Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark.ORCID http://orcid.org/0000-0001-7431-5206

Funding

Omic Determinants of Longitudinal Lung Function in AsthmaR01HL155742 · BRIGHAM AND WOMEN'S HOSPITAL · 2025 to 2025
$812k
EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) 946228Foundation for the National Institutes of Health (Foundation for the National Institutes of Health, Inc.) R01HL123915, R01HL155742, R01HL141826 and K01HL153941;amp;#x200B;;amp;#x200B;Lundbeckfonden (Lundbeck Foundation) R16-A1694Lundbeckfonden (Lundbeck Foundation) R269-2017-5NHLBI NIH HHS K01 HL153941NHLBI NIH HHS R01 HL123915NHLBI NIH HHS R01 HL141826NHLBI NIH HHS R01 HL155742Novo Nordisk Fonden (Novo Nordisk Foundation) NNF21OC0068517Strategiske Forskningsråd (Danish Council for Strategic Research) 0603-00280B
6 · The paper itself

Abstract

backgroundMaternal obesity is increasingly common and linked to pregnancy complications, likely driven by underlying metabolic perturbations. This study investigates the association between maternal pre-pregnancy body mass index (BMI) and pregnancy complications through blood metabolomics, aiming to identify specific metabolites mediating these associations.

methodsData from the Copenhagen Prospective Studies on Asthma in Childhood 2010 (COPSAC2010) and Vitamin D Antenatal Asthma Reduction Trial (VDAART) cohorts were used, with untargeted blood metabolomics performed on blood samples taken during early-, mid-, and late gestation. Associations were assessed using multivariable logistic regression and mediation analyses to explore metabolite pathways linking maternal BMI with pregnancy complications.

resultsIn the COPSAC2010 cohort, maternal pre-pregnancy BMI is associated with gestational diabetes (OR 1.90 [1.29-2.74], p = 6.75×10⁻⁴), caesarean section (OR 1.23 [1.03-1.47], p = 0.023), and birth induction (OR 1.42 [1.21-1.67], p = 2.86×10⁻⁵). A BMI-associated metabolite score is even more strongly associated with these complications and is independently associated with preeclampsia (OR 1.54 [1.04-2.26], p = 0.030). Validation in the VDAART cohort confirms the predictive value of the metabolite score for gestational diabetes (OR 2.10 [1.48-3.03], p = 4.97×10⁻⁵) and preeclampsia (OR 2.12 [1.32-3.47], p = 0.002), particularly in late gestation. Mediation analysis in COPSAC2010 identifies 16 metabolites as mediating the effect of BMI on gestational diabetes. A model based on this subset of metabolites significantly outperforms the full maternal BMI model in predicting outcomes during both early (p = 0.009) and late gestation (p = 0.016) in the VDAART cohort.

conclusionsThese findings suggest that integrating metabolomic profiling into prenatal care could improve the prediction and management of adverse pregnancy outcomes.

Identifiers

PMID41407932
PMCPMC12820178

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