Evidence map›Paper›PMID 32206914›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2020

A population-based resource for intergenerational metabolomics analyses in pregnant women and their children: the Generation R Study.

Ellis Voerman, Vincent W V Jaddoe, Olaf Uhl, Engy Shokry, Jeannie Horak, Janine F Felix, Berthold Koletzko, Romy Gaillard

Open access · hybridAbstract read
In one paragraph

Article in Metabolomics : Official journal of the Metabolomic Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
3.9field-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.

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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Maternal Body Mass Index, Early-Pregnancy Metabolite Profile, and Birthweight.The Journal of clinical endocrinology and metabolism · 2022
    Observational
  11. Article
  12. Article
  13. Regulation of maternal-fetal metabolic communication.Cellular and molecular life sciences : CMLS · 2021
    Review
  14. Article
  15. Article
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

8 authors at 2 institutions in 2 countries.

Ellis VoermanThe Generation R Study Group, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.
Vincent W V JaddoeThe Generation R Study Group, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.
Olaf UhlDivision of Metabolic and Nutritional Medicine, Dr. Von Hauner Children's Hospital, LMU - Ludwig-Maximilians Universität München, Munich, Germany.
Engy ShokryDivision of Metabolic and Nutritional Medicine, Dr. Von Hauner Children's Hospital, LMU - Ludwig-Maximilians Universität München, Munich, Germany.
Jeannie HorakDivision of Metabolic and Nutritional Medicine, Dr. Von Hauner Children's Hospital, LMU - Ludwig-Maximilians Universität München, Munich, Germany.
Janine F FelixThe Generation R Study Group, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.
Berthold KoletzkoDivision of Metabolic and Nutritional Medicine, Dr. Von Hauner Children's Hospital, LMU - Ludwig-Maximilians Universität München, Munich, Germany.
Romy GaillardThe Generation R Study Group, Erasmus MC, University Medical Center, Rotterdam, The Netherlands. r.gaillard@erasmusmc.nl.ORCID http://orcid.org/0000-0002-7967-4600
Erasmus MC · NLLudwig-Maximilians-Universität München · DE

Funding

ZonMw 543003109
6 · The paper itself

Abstract

introductionAdverse exposures in early life may predispose children to cardio-metabolic disease in later life. Metabolomics may serve as a valuable tool to disentangle the metabolic adaptations and mechanisms that potentially underlie these associations.

objectivesTo describe the acquisition, processing and structure of the metabolomics data available in a population-based prospective cohort from early pregnancy onwards and to examine the relationships between metabolite profiles of pregnant women and their children at birth and in childhood.

methodsIn a subset of 994 mothers-child pairs from a prospective population-based cohort study among pregnant women and their children from Rotterdam, the Netherlands, we used LC-MS/MS to determine concentrations of amino acids, non-esterified fatty acids, phospholipids and carnitines in blood serum collected in early pregnancy, at birth (cord blood), and at child's age 10 years.

resultsConcentrations of diacyl-phosphatidylcholines, acyl-alkyl-phosphatidylcholines, alkyl-lysophosphatidylcholines and sphingomyelines were the highest in early pregnancy, concentrations of amino acids and non-esterified fatty acids were the highest at birth and concentrations of alkyl-lysophosphatidylcholines, free carnitine and acyl-carnitines were the highest at age 10 years. Correlations of individual metabolites between pregnant women and their children at birth and at the age of 10 years were low (range between r = - 0.10 and r = 0.35).

conclusionOur results suggest that unique metabolic profiles are present among pregnant women, newborns and school aged children, with limited intergenerational correlations between metabolite profiles. These data will form a valuable resource to address the early metabolic origins of cardio-metabolic disease.

Indexed as

MetabolomicsPregnant PeopleAdultAmino AcidsCarnitineChildChromatography, LiquidCohort StudiesFatty AcidsFemaleHumansMalePhospholipidsPregnancyProspective StudiesTandem Mass SpectrometryAmino AcidsCarnitineFatty AcidsPhospholipidsAmino acidsBirth cohortCarnitinesFatty acidsMetabolomicsPhospholipids

Identifiers

PMID32206914
PMCPMC7089886
OpenAlexW3012674197

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.