Evidence map›Paper›PMID 35234611›Full record

ArticleeLife2022

Ontogeny of circulating lipid metabolism in pregnancy and early childhood - a longitudinal population study.

Satvika Burugupalli, Adam Alexander T Smith, Gavriel Oshlensky, Kevin Huynh, Corey Giles, Tingting Wang, Alexandra George, Sudip Paul, Anh Nguyen, Thy Duong and 13 more

Open access · goldAbstract read
In one paragraph

Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
9.1field-weighted citation impact, top 2% 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

21 citing papers in PubMed, 25 citations in OpenAlex.

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  11. Tracing the Lipid Fingerprints of Preeclampsia.Reproductive sciences (Thousand Oaks, Calif.) · 2025
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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

23 authors at 5 institutions in 2 countries.

Satvika BurugupalliMetabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, Australia.ORCID 0000-0002-8866-1756
Adam Alexander T SmithMetabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, Australia.
Gavriel OshlenskyMetabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, Australia.
Kevin HuynhMetabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, Australia.
Corey GilesMetabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, Australia.
Tingting WangMetabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, Australia.
Alexandra GeorgeMetabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, Australia.ORCID 0000-0001-7079-6647
Sudip PaulMetabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, Australia.
Anh NguyenMetabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, Australia.
Thy DuongMetabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, Australia.
Natalie MellettMetabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, Australia.
Michelle CinelMetabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, Australia.
Sartaj Ahmad MirSingapore Lipidomics Incubator, Life Sciences Institute, National University of Singapore, Singapore, Singapore.
Li ChenSingapore Lipidomics Incubator, Life Sciences Institute, National University of Singapore, Singapore, Singapore.
Markus R WenkSingapore Lipidomics Incubator, Life Sciences Institute, National University of Singapore, Singapore, Singapore.
Neerja KarnaniDepartment of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Fiona CollierSchool of Medicine, Deakin University, Melbourne, Australia.ORCID 0000-0002-5438-480X
Richard SafferyMurdoch Children's Research Institute, Royal Children's Hospital, Melbourne, Australia.
Peter VuillerminSchool of Medicine, Deakin University, Melbourne, Australia.
Anne-Louise PonsonbyMurdoch Children's Research Institute, Royal Children's Hospital, Melbourne, Australia.ORCID 0000-0002-6581-3657
David BurgnerMurdoch Children's Research Institute, Royal Children's Hospital, Melbourne, Australia.ORCID 0000-0002-8304-4302
Peter MeikleMetabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, Australia.ORCID 0000-0002-2593-4665
Barwon Infant Study Investigator team
Baker Heart and Diabetes Institute · AURoyal Children's Hospital · AUAgency for Science, Technology and Research · SGBarwon Health · AUNational University of Singapore · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: There is mounting evidence that in utero and early life exposures may predispose an individual to metabolic disorders in later life; and dysregulation of lipid metabolism is critical in such outcomes. However, there is limited knowledge about lipid metabolism and factors causing lipid dysregulation in early life that could result in adverse health outcomes in later life. We studied the effect of antenatal factors such as gestational age, birth weight, and mode of birth on lipid metabolism at birth; changes in the circulating lipidome in the first 4 years of life and the effect of breastfeeding in the first year of life. From this study, we aim to generate a framework for deeper understanding into factors effecting lipid metabolism in early life, to provide early interventions for those at risk of developing metabolic disorders including cardiovascular diseases. Methods: We performed comprehensive lipid profiling of 1074 mother-child dyads in the Barwon Infant Study (BIS), a population-based pre-birth cohort and measured 776 distinct lipid features across 39 lipid classes using ultra-high-performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS). We measured lipids in 1032 maternal serum samples at 28 weeks' gestation, 893 cord serum samples at birth, 793, 735, and 511 plasma samples at 6, 12 months, and 4 years, respectively. Cord serum was enriched with long chain poly-unsaturated fatty acids (LC-PUFAs), and corresponding cholesteryl esters relative to the maternal serum. We performed regression analyses to investigate the associations of cord serum lipid species with antenatal factors: gestational age, birth weight, mode of birth and duration of labour. Results: The lipidome differed between mother and newborn and changed markedly with increasing child's age. Alkenylphosphatidylethanolamine species containing LC-PUFAs increased with child's age, whereas the corresponding lysophospholipids and triglycerides decreased. Majority of the cord serum lipids were strongly associated with gestational age and birth weight, with most lipids showing opposing associations. Each mode of birth showed an independent association with cord serum lipids. Breastfeeding had a significant impact on the plasma lipidome in the first year of life, with up to 17-fold increases in a few species of alkyldiaclylglycerols at 6 months of age. Conclusions: This study sheds light on lipid metabolism in infancy and early childhood and provide a framework to define the relationship between lipid metabolism and health outcomes in early childhood. Funding: This work was supported by the A*STAR-NHMRC joint call funding (1711624031).

Indexed as

Lipid MetabolismTandem Mass SpectrometryBirth WeightChild, PreschoolFemaleHumansInfantInfant, NewbornLipidomicsPregnancyTriglyceridesTriglyceridesearly childhoodepidemiologyglobal healthhumaninfantsmedicinenewborn

Identifiers

PMID35234611
PMCPMC8942471
OpenAlexW4214866716

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.