Evidence map›Paper›PMID 34526650›Full record

ArticlePediatric research2022

The newborn metabolome: associations with gestational diabetes, sex, gestation, birth mode, and birth weight.

Toby Mansell, Amanda Vlahos, Fiona Collier, Anne-Louise Ponsonby, Peter Vuillermin, Susan Ellul, Mimi L K Tang, David Burgner, Richard Saffery, Barwon Infant Study Investigator team

Erratum issuedAbstract read
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In one paragraph

Article in Pediatric research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
6.7field-weighted citation impact, top 3% of its field
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

27 citing papers in PubMed, 35 citations in OpenAlex.

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  11. Environmental and Maternal Imprints on Infant Gut Metabolic Programming.bioRxiv : the preprint server for biology · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 5 institutions in 2 countries.

Toby MansellMurdoch Children's Research Institute, Parkville, VIC, Australia.
Amanda VlahosMurdoch Children's Research Institute, Parkville, VIC, Australia.
Fiona CollierMurdoch Children's Research Institute, Parkville, VIC, Australia.
Anne-Louise PonsonbyMurdoch Children's Research Institute, Parkville, VIC, Australia.
Peter VuillerminMurdoch Children's Research Institute, Parkville, VIC, Australia.
Susan EllulMurdoch Children's Research Institute, Parkville, VIC, Australia.
Mimi L K TangMurdoch Children's Research Institute, Parkville, VIC, Australia.
David Burgner *Murdoch Children's Research Institute, Parkville, VIC, Australia.
Richard Saffery *Murdoch Children's Research Institute, Parkville, VIC, Australia. richard.saffery@mcri.edu.au.
Barwon Infant Study Investigator team
The University of Melbourne · AUBarwon Health · AURoyal Children's Hospital · AUMurdoch Children's Research Institute · AUThe University of Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPathways towards many adult-onset conditions begin early in life, even in utero. Maternal health in pregnancy influences this process, but little is known how it affects neonatal metabolism. We investigated associations between pregnancy and birth factors and cord blood metabolomic profile in a large, population-derived cohort.

methodsMetabolites were measured using nuclear magnetic resonance in maternal (28 weeks gestation) and cord serum from 912 mother-child pairs in the Barwon Infant Study pre-birth cohort. Associations between maternal (metabolites, age, BMI, smoking), pregnancy (pre-eclampsia, gestational diabetes (GDM)), and birth characteristics (delivery mode, gestational age, weight, infant sex) with 72 cord blood metabolites were examined by linear regression.

resultsDelivery mode, sex, gestational age, and birth weight were associated with specific metabolite levels in cord blood, including amino acids, fatty acids, and cholesterols. GDM was associated with higher cord blood levels of acetoacetate and 3-hydroxybutyrate.

conclusionsNeonatal factors, particularly delivery mode, were associated with many cord blood metabolite differences, including those implicated in later risk of cardiometabolic disease. Associations between GDM and higher offspring ketone levels at birth are consistent with maternal ketosis in diabetic pregnancies. Further work is needed to determine whether these neonatal metabolome differences associate with later health outcomes. IMPACT: Variations in blood metabolomic profile have been linked to health status in adults and children, but corresponding data in neonates are scarce. We report evidence that pregnancy complications, mode of delivery, and offspring characteristics, including sex, are independently associated with a range of circulating metabolites at birth, including ketone bodies, amino acids, cholesterols, and inflammatory markers. Independent of birth weight, exposure to gestational diabetes is associated with higher cord blood ketone bodies and citrate. These findings suggest that pregnancy complications, mode of delivery, gestational age, and measures of growth influence metabolic pathways prior to birth, potentially impacting later health and development.

Indexed as

Diabetes, GestationalPregnancy ComplicationsAdultAmino AcidsBirth WeightBody Mass IndexFemaleHumansInfantInfant, NewbornKetone BodiesMetabolomePregnancyAmino AcidsKetone Bodies

Identifiers

PMID34526650
OpenAlexW3201514359

What OpenQuestion holds

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Registered trials

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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.