Evidence map›Paper›PMID 34644810›Full record

ArticlePediatric obesity2022

Metabolomics in early life and the association with body composition at age 2 years.

Inge A L P van Beijsterveldt, Stuart G Snowden, Pernille Neve Myers, Kirsten S de Fluiter, Bert van de Heijning, Susanne Brix, Ken K Ong, David B Dunger, Anita C S Hokken-Koelega, Albert Koulman

Abstract read
In one paragraph

Article in Pediatric obesity, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Article
  4. Article
  5. Review
  6. Sleep and 24-hour rhythm characteristics in preschool children born very preterm and full term.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2023
    Article
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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

10 authors.

Inge A L P van BeijsterveldtDepartment of Pediatrics, Subdivision of Endocrinology, Erasmus University Medical Center/Sophia Children's Hospital, Rotterdam, The Netherlands.ORCID 0000-0002-0204-7430
Stuart G SnowdenCore Metabolomics and Lipidomics Laboratory, Metabolic Research Laboratories, Institute of Metabolic Science, University of Cambridge, Cambridge, UK.
Pernille Neve MyersDepartment of Biotechnology and Biomedicine, Technical University of Denmark, Kgs. Lyngby, Denmark.
Kirsten S de FluiterDepartment of Pediatrics, Subdivision of Endocrinology, Erasmus University Medical Center/Sophia Children's Hospital, Rotterdam, The Netherlands.ORCID 0000-0002-5848-7929
Bert van de HeijningDanone Nutricia Research, Utrecht, The Netherlands.
Susanne BrixDepartment of Biotechnology and Biomedicine, Technical University of Denmark, Kgs. Lyngby, Denmark.
Ken K OngMedical Research Council Epidemiology Unit, University of Cambridge, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, UK.
David B DungerDepartment of Paediatrics, University of Cambridge, Cambridge, UK.
Anita C S Hokken-KoelegaDepartment of Pediatrics, Subdivision of Endocrinology, Erasmus University Medical Center/Sophia Children's Hospital, Rotterdam, The Netherlands.
Albert KoulmanCore Metabolomics and Lipidomics Laboratory, Metabolic Research Laboratories, Institute of Metabolic Science, University of Cambridge, Cambridge, UK.ORCID 0000-0001-9998-051X

Funding

Biotechnology and Biological Sciences Research Council BB/P028195/1Department of HealthMedical Research Council MC_UU_00006/2Medical Research Council MC_UU_12015/2
6 · The paper itself

Abstract

BACKGROUND AND

objectivesEarly life is a critical window for adiposity programming. Metabolic-profile in early life may reflect this programming and correlate with later life adiposity. We investigated if metabolic-profile at 3 months of age is predictive for body composition at 2 years and if there are differences between boys and girls and between infant feeding types.

methodsIn 318 healthy term-born infants, we determined body composition with skinfold measurements and abdominal ultrasound at 3 months and 2 years of age. High-throughput-metabolic-profiling was performed on 3-month-blood-samples. Using random-forest-machine-learning-models, we studied if the metabolic-profile at 3 months can predict body composition outcomes at 2 years of age.

resultsPlasma metabolite-profile at 3 months was found to predict body composition at 2 years, based on truncal: peripheral-fat-skinfold-ratio (T:P-ratio), with a predictive value of 75.8%, sensitivity of 100% and specificity of 50%. Predictive value was higher in boys (Q

conclusionSeveral plasma metabolites (LysoPC(22:2), dimethylarginine and others) at 3 months associate with body composition outcome at 2 years. These results highlight the importance of the first months of life for adiposity programming.

Indexed as

AdiposityBody CompositionChild, PreschoolFemaleHumansInfantIntra-Abdominal FatMaleMetabolomicsObesityadipositybody compositioninfantsmetabolomicsskinfolds

Identifiers

PMID34644810
PMCPMC9286420

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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.