Evidence map›Paper›PMID 41279492›Full record

ArticlebioRxiv : the preprint server for biology2025

Multi-omic integration reveals dynamic changes in human placental metabolism across gestation.

Mariana Parenti, Sam Rosen, Maya Pettes, Danijel Djukovic, Daniel Raftery, Ian A Glass, Birth Defects Research Laboratory (BDRL), Kathryn J Gray, Alison G Paquette, Stephen A McCartney

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Mariana ParentiCenter for Developmental Biology and Regenerative Medicine, Seattle Children's Research Institute, Seattle, USA.ORCID 0000-0003-4052-176X
Sam RosenDepartment of Obstetrics and Gynecology, University of Washington, Seattle, USA.
Maya PettesDepartment of Obstetrics and Gynecology, University of Washington, Seattle, USA.
Danijel DjukovicDepartment of Anesthesiology and Pain Medicine, University of Washington, Seattle, USA.
Daniel RafteryDepartment of Anesthesiology and Pain Medicine, University of Washington, Seattle, USA.
Ian A GlassDepartment of Pediatrics, University of Washington, Seattle, USA.
Birth Defects Research Laboratory (BDRL)
Kathryn J GrayDepartment of Obstetrics and Gynecology, University of Washington, Seattle, USA.
Alison G PaquetteCenter for Developmental Biology and Regenerative Medicine, Seattle Children's Research Institute, Seattle, USA.
Stephen A McCartneyDepartment of Obstetrics and Gynecology, University of Washington, Seattle, USA.ORCID 0000-0003-1102-6778

Funding

Vector and Transgenic Mouse CoreP30DK017047 · NIDDK · UNIVERSITY OF WASHINGTON · PI Sakeneh Zraika · 1986 to 2026
$41.4M
REPRODUCTIVE SCIENTIST TRAINING PROGRAMK12HD000849 · NICHD · WASHINGTON UNIVERSITY · PI Danny J Schust · 1988 to 2026
$33.2M
LABORATORY OF DEVELOPMENTAL BIOLOGYR24HD000836 · NICHD · UNIVERSITY OF WASHINGTON · PI Ian Amos Glass · 1995 to 2026
$16.9M
Precision medicine approaches to understand and prevent stillbirthR01HD117802 · NICHD · UNIVERSITY OF WASHINGTON · PI Kathryn Johnson Gray · 2025 to 2026
$1.3M
NICHD NIH HHS K12 HD000849NICHD NIH HHS R01 HD117802NICHD NIH HHS R24 HD000836NIDDK NIH HHS P30 DK017047
6 · The paper itself

Abstract

Objectives: Metabolic demands of the developing conceptus are highly dynamic during pregnancy. While placental metabolism has been well described at term and in cell lines, changes in the placental metabolome during development remains understudied. We investigated the placental metabolome, metabolite trajectories, and altered pathways across trimesters in normal human pregnancy by integrating metabolomic and transcriptomic data. Methods: Targeted aqueous metabolomic profiling of 372 metabolites was conducted on placental biopsies from samples collected in the first ( Results: Samples clustered by trimester in principal component analysis and we identified 5 metabolite trajectories. Out of 193 detectable metabolites, 149 (77%) differed by trimester (FDR<0.05). Using pathway-level multi-omic integration, pathways involved in extracellular transport, and pyruvate, amino acid, NAD, and membrane lipid metabolism are up-regulated in the second trimester compared to the first. In the late third trimester, pathways involved in amino acid metabolism, redox balance, mitochondrial transport, and biomolecule synthesis were down-regulated compared to second trimester. Conclusions: Placental metabolite abundances change substantially across gestation and integration with metabolic gene expression provides insight into dynamic metabolic function during pregnancy. Observed pathway-level changes potentially reflect the metabolic response to invading maternal circulation in the first-to-second trimester transition, as well as changing maternal and fetal metabolic requirements. Differences observed at term may reflect placental senescence and preparation for parturition. These data can inform other molecular analyses of the placenta by providing enhanced resolution of metabolic changes across pregnancy.

Identifiers

PMID41279492
PMCPMC12633274

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.