Evidence map›Paper›PMID 36422240›Full record

ArticleMetabolites2022

Fetal Exposure to Maternal Smoking and Neonatal Metabolite Profiles.

Kim N Cajachagua-Torres, Sophia M Blaauwendraad, Hanan El Marroun, Hans Demmelmair, Berthold Koletzko, Romy Gaillard, Vincent W V Jaddoe

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.4field-weighted citation impact, top 8% 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

7 citing papers in PubMed, 9 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

7 authors at 3 institutions in 2 countries.

Kim N Cajachagua-TorresThe Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, 3000 CA Rotterdam, The Netherlands.ORCID 0000-0002-0213-6935
Sophia M BlaauwendraadThe Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, 3000 CA Rotterdam, The Netherlands.
Hanan El MarrounThe Department of Child and Adolescent Psychiatry, Erasmus MC, Sophia Children's Hospital, 3000 CB Rotterdam, The Netherlands.
Hans DemmelmairDepartment of Pediatrics, Dr. von Huaner Children's Hospital, LMU University Hospitals, LMU-Ludwig Maximilians Universität Munich, 80539 Munich, Germany.ORCID 0000-0001-7812-5178
Berthold KoletzkoDepartment of Pediatrics, Dr. von Huaner Children's Hospital, LMU University Hospitals, LMU-Ludwig Maximilians Universität Munich, 80539 Munich, Germany.ORCID 0000-0002-5345-7165
Romy GaillardThe Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, 3000 CA Rotterdam, The Netherlands.
Vincent W V JaddoeThe Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, 3000 CA Rotterdam, The Netherlands.ORCID 0000-0003-2939-0041
Erasmus MC · NLLudwig-Maximilians-Universität München · DEErasmus MC - Sophia Children’s Hospital · NL

Funding

Dutch Heart Foundation grant number 2017T013EU Joint Programming Initiative JPI HDL BiomaKids, the German Ministry of Education and Research Grant Nr. 01EA2203AEuropean Research Council Advanced Grant META-GROWTH ERC-2012-AdG-no.322605European Research Council Consolidator Grant, ERC-2014-CoG-648916European Union's Horizon 2020 Research and Innovation Program LifeCycle, grant agreement 733206German Research Council DFG INST 409/224-1 FUGGKNAW Ter Meulen Grant from the KNAW Medical Sciences Fund of the Royal Netherlands Academy of Arts and Sciences grant agreement KNAWWF/1085/TMB406Peruvian Scholarship grant agreement 547-2018-SERVIRStichting Volksbond Rotterdam, the NARSAD Young Investigator Grant from the Brain & Behavior Research Foundation grant number 27853the Dutch Diabetes Foundation grant number 2017.81.002the Netherlands Organization for Health Research and Development Aspasia grant No. 015.016.056the Netherlands Organization for Health Research and Development ZonMW, grant number 543003109
6 · The paper itself

Abstract

Fetal tobacco exposure has persistent effects on growth and metabolism. The underlying mechanisms of these relationships are yet unknown. We investigated the associations of fetal exposure to maternal smoking with neonatal metabolite profiles. In a population-based cohort study among 828 mother-infant pairs, we assessed maternal tobacco use by questionnaire. Metabolite concentrations of amino acids, non-esterified fatty acids, phospholipids and carnitines were determined by using LC-MS/MS in cord blood samples. Metabolite ratios reflecting metabolic pathways were computed. Compared to non-exposed neonates, those exposed to first trimester only tobacco smoking had lower neonatal mono-unsaturated acyl-alkyl-phosphatidylcholines (PC.ae) and alkyl-lysophosphatidylcholines (Lyso.PC.e) 18:0 concentrations. Neonates exposed to continued tobacco smoking during pregnancy had lower neonatal mono-unsaturated acyl-lysophosphatidylcholines (Lyso.PC.a), Lyso.PC.e.16:0 and Lyso.PC.e.18:1 concentration (False discovery rate (FDR) p-values < 0.05). Dose-response associations showed the strongest effect estimates in neonates whose mothers continued smoking ≥5 cigarettes per day (FDR p-values < 0.05). Furthermore, smoking during the first trimester only was associated with altered neonatal metabolite ratios involved in the Krebs cycle and oxidative stress, whereas continued smoking during pregnancy was associated with inflammatory, transsulfuration, and insulin resistance markers (p-value < 0.05). Thus, fetal tobacco exposure seems associated with neonatal metabolite profile adaptations. Whether these changes relate to later life metabolic health should be studied further.

Indexed as

metabolismmetabolite profileneonatalpregnancysmoking

Identifiers

PMID36422240
PMCPMC9692997
OpenAlexW4308975369

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.