Evidence map›Paper›PMID 35871677›Full record

Observational studyBMC medicine2022

Population-based plasma lipidomics reveals developmental changes in metabolism and signatures of obesity risk: a mother-offspring cohort study.

Sartaj Ahmad Mir, Li Chen, Satvika Burugupalli, Bo Burla, Shanshan Ji, Adam Alexander T Smith, Kothandaraman Narasimhan, Adaikalavan Ramasamy, Karen Mei-Ling Tan, Kevin Huynh and 18 more

Registry-linked trialOpen access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01174875 (Developmental Pathways to Health and Disease), which is not on this map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.3field-weighted citation impact, top 7% 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.

NCT01174875 active not recruitingnot on this map

Developmental Pathways to Health and Disease: Metabolic, Neurodevelopmental and Related Outcomes

TypeobservationalSponsorNational University Hospital, SingaporeRan2009 to 2029Enrolled1,247ConditionsMetabolic Diseases, Neurological and Mental Health Conditions, Genetic Predisposition, Skin Condition
3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 40 citations in OpenAlex.

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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

28 authors at 11 institutions in 4 countries.

Sartaj Ahmad Mir *Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117596, Singapore.
Li Chen *Singapore Lipidomics Incubator, Life Sciences Institute, National University of Singapore, Singapore, Singapore.
Satvika BurugupalliMetabolomics Laboratory, Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC, 3004, Australia.
Bo BurlaSingapore Lipidomics Incubator, Life Sciences Institute, National University of Singapore, Singapore, Singapore.
Shanshan JiSingapore Lipidomics Incubator, Life Sciences Institute, National University of Singapore, Singapore, Singapore.
Adam Alexander T SmithMetabolomics Laboratory, Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC, 3004, Australia.
Kothandaraman NarasimhanSingapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Brenner Centre for Molecular Medicine, 30 Medical Drive, Singapore, 117609, Singapore.
Adaikalavan RamasamySingapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Brenner Centre for Molecular Medicine, 30 Medical Drive, Singapore, 117609, Singapore.
Karen Mei-Ling TanSingapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Brenner Centre for Molecular Medicine, 30 Medical Drive, Singapore, 117609, Singapore.
Kevin HuynhMetabolomics Laboratory, Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC, 3004, Australia.
Corey GilesMetabolomics Laboratory, Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC, 3004, Australia.
Ding MeiSingapore Lipidomics Incubator, Life Sciences Institute, National University of Singapore, Singapore, Singapore.
Gerard WongSingapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Brenner Centre for Molecular Medicine, 30 Medical Drive, Singapore, 117609, Singapore.
Fabian YapKK Women's and Children's Hospital, Singapore, Singapore.
Kok Hian TanKK Women's and Children's Hospital, Singapore, Singapore.
Fiona CollierSchool of Medicine, Deakin University, Geelong, Australia.
Richard SafferyMurdoch Children's Research Institute, University of Melbourne, Parkville, Australia.
Peter VuillerminSchool of Medicine, Deakin University, Geelong, Australia.
Anne K BendtSingapore Lipidomics Incubator, Life Sciences Institute, National University of Singapore, Singapore, Singapore.
David BurgnerMurdoch Children's Research Institute, University of Melbourne, Parkville, Australia.
Anne-Louise PonsonbyMurdoch Children's Research Institute, University of Melbourne, Parkville, Australia.
Yung Seng LeeSingapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Brenner Centre for Molecular Medicine, 30 Medical Drive, Singapore, 117609, Singapore.
Yap Seng ChongSingapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Brenner Centre for Molecular Medicine, 30 Medical Drive, Singapore, 117609, Singapore.
Peter D GluckmanSingapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Brenner Centre for Molecular Medicine, 30 Medical Drive, Singapore, 117609, Singapore.
Johan G ErikssonSingapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Brenner Centre for Molecular Medicine, 30 Medical Drive, Singapore, 117609, Singapore.
Peter J Meikle *Metabolomics Laboratory, Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC, 3004, Australia. Peter.Meikle@baker.edu.au.
Markus R Wenk *Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117596, Singapore. bchmrw@nus.edu.sg.
Neerja Karnani *Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117596, Singapore. neerja_karnani@sics.a-star.edu.sg.
National University of Singapore · SGBaker Heart and Diabetes Institute · AUSingapore Institute for Clinical Sciences · SGAgency for Science, Technology and Research · SGBarwon Health · AUFlorey Institute of Neuroscience and Mental Health · AUFolkhälsans Forskningscentrum · FIKK Women's and Children's Hospital · SGMurdoch Children's Research Institute · AUUniversity of Auckland · NZUniversity of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLipids play a vital role in health and disease, but changes to their circulating levels and the link with obesity remain poorly characterized in expecting mothers and their offspring in early childhood.

methodsLC-MS/MS-based quantitation of 480 lipid species was performed on 2491 plasma samples collected at 4 time points in the mother-offspring Asian cohort GUSTO (Growing Up in Singapore Towards healthy Outcomes). These 4 time points constituted samples collected from mothers at 26-28 weeks of gestation (n=752) and 4-5 years postpartum (n=650), and their offspring at birth (n=751) and 6 years of age (n=338). Linear regression models were used to identify the pregnancy and developmental age-specific variations in the plasma lipidomic profiles, and their association with obesity risk. An independent birth cohort (n=1935), the Barwon Infant Study (BIS), comprising mother-offspring dyads of Caucasian origin was used for validation.

resultsLevels of 36% of the profiled lipids were significantly higher (absolute fold change > 1.5 and P

conclusionsIn summary, our study provides a detailed landscape of the in utero lipid environment provided by the gestating mother to the growing fetus, and the magnitude of changes in plasma lipidomic profiles from birth to early childhood. We identified the effects of adiposity on the circulating lipid levels in pregnant and non-pregnant women as well as offspring at birth and at 6 years of age. Additionally, the pediatric vs maternal overlap of the circulating lipid phenotype of obesity risk provides intergenerational insights and early opportunities to track and intervene the onset of metabolic adversities. CLINICAL

trial registrationThis birth cohort is a prospective observational study, which was registered on 1 July 2010 under the identifier NCT01174875 .

Indexed as

LipidomicsMothersBirth WeightBody Mass IndexChromatography, LiquidCohort StudiesFemaleHumansObesityPregnancyTandem Mass SpectrometryTriglyceridesTriglyceridesAdiposityDevelopmentGestationIntergenerationalLipidomicsLipids and fatty acidsMaternal-fetalMetabolomics

Identifiers

PMID35871677
PMCPMC9310480
OpenAlexW4286945471

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.