Evidence map›Paper›PMID 32811491›Full record

ArticleBMC medicine2020

In utero and childhood exposure to tobacco smoke and multi-layer molecular signatures in children.

Marta Vives-Usano, Carles Hernandez-Ferrer, Léa Maitre, Carlos Ruiz-Arenas, Sandra Andrusaityte, Eva Borràs, Ángel Carracedo, Maribel Casas, Leda Chatzi, Muireann Coen and 20 more

Open access · goldAbstract read
In one paragraph

Article in BMC medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

22 citing papers in PubMed, 42 citations in OpenAlex.

  1. Trial
  2. Article
  3. Mechanisms and therapeutic strategies of asthma: from bench to bedside.Signal transduction and targeted therapy · 2026
    Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Review
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

30 authors at 14 institutions in 7 countries.

Marta Vives-UsanoCentre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain.
Carles Hernandez-FerrerISGlobal, Barcelona, Spain.
Léa MaitreISGlobal, Barcelona, Spain.
Carlos Ruiz-ArenasISGlobal, Barcelona, Spain.
Sandra AndrusaityteDepartment of Environmental Sciences, Vytautas Magnus University, K. Donelaicio Street 58, 44248, Kaunas, Lithuania.
Eva BorràsCentre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain.
Ángel CarracedoGrupo de Medicina Xenómica, Fundación Pública Galega de Medicina Xenómica, Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), SERGAS, Rúa Choupana s/n, 15706, Santiago de Compostela, Spain.
Maribel CasasISGlobal, Barcelona, Spain.
Leda ChatziDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, 1540 Alcazar Street, Los Angeles, 90033, USA.
Muireann CoenOncology Safety, Clinical Pharmacology and Safety Sciences, R&D Biopharmaceuticals, AstraZeneca, 1 Francis Crick Avenue, Cambridge, CB2 0RE, UK.
Xavier EstivillCentre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain.
Juan R GonzálezISGlobal, Barcelona, Spain.
Regina GrazulevicieneDepartment of Environmental Sciences, Vytautas Magnus University, K. Donelaicio Street 58, 44248, Kaunas, Lithuania.
Kristine B GutzkowDepartment af Environmental Health, Norwegian Institute of Public Health, Lovisenberggt 6, 0456, Oslo, Norway.
Hector C KeunDivision of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London, South Kensington Campus, London, SW7 2AZ, UK.
Chung-Ho E LauDivision of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London, South Kensington Campus, London, SW7 2AZ, UK.
Solène CadiouUniversity Grenoble Alpes, Inserm, CNRS, Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, IAB, 38000, Grenoble, France.
Johanna LepeuleUniversity Grenoble Alpes, Inserm, CNRS, Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, IAB, 38000, Grenoble, France.
Dan MasonBradford Institute for Health Research, Bradford Royal Infirmary, Bradford, BD9 6RJ, UK.
Inés QuintelaGrupo de Medicina Xenómica, Centro Nacional de Genotipado (CEGEN-PRB3-ISCIII), Universidade de Santiago de Compostela, Praza do Obradoiro s/n, 15782, Santiago de Compostela, Spain.
Oliver RobinsonMRC Centre for Environment and Health, School of Public Health, Imperial College London, St. Mary's Hospital Campus, London, W21PG, UK.
Eduard SabidóCentre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain.
Gillian SantorelliBradford Institute for Health Research, Bradford Royal Infirmary, Bradford, BD9 6RJ, UK.
Per E SchwarzeDepartment af Environmental Health, Norwegian Institute of Public Health, Lovisenberggt 6, 0456, Oslo, Norway.
Alexandros P SiskosDivision of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London, South Kensington Campus, London, SW7 2AZ, UK.
Rémy SlamaUniversity Grenoble Alpes, Inserm, CNRS, Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, IAB, 38000, Grenoble, France.
Marina VafeiadiDepartment of Social Medicine, School of Medicine, University of Crete, Heraklion, Crete, Greece.
Eulàlia MartíCIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
Martine VrijheidISGlobal, Barcelona, Spain.
Mariona BustamanteISGlobal, Barcelona, Spain. mariona.bustamante@isglobal.org.ORCID 0000-0003-0127-2860
Universitat Pompeu Fabra · ESCentre National de la Recherche Scientifique · FRBradford Royal Infirmary · GBHammersmith Hospital · GBNorwegian Institute of Public Health · NOVytautas Magnus University · LTAstraZeneca (United Kingdom) · GBCenter for Research in Molecular Medicine and Chronic Diseases · ESCentro de Investigación Biomédica en Red de Epidemiología y Salud Pública · ESImperial College London · GBSt Mary's Hospital · GBUniversidade de Santiago de Compostela · ESUniversity of Crete · GRUniversity of Southern California · US

Funding

Medical Research Council MR/N024397/1Medical Research Council MR/S03532X/1Wellcome Trust WT101597MA
6 · The paper itself

Abstract

backgroundThe adverse health effects of early life exposure to tobacco smoking have been widely reported. In spite of this, the underlying molecular mechanisms of in utero and postnatal exposure to tobacco smoke are only partially understood. Here, we aimed to identify multi-layer molecular signatures associated with exposure to tobacco smoke in these two exposure windows.

methodsWe investigated the associations of maternal smoking during pregnancy and childhood secondhand smoke (SHS) exposure with molecular features measured in 1203 European children (mean age 8.1 years) from the Human Early Life Exposome (HELIX) project. Molecular features, covering 4 layers, included blood DNA methylation and gene and miRNA transcription, plasma proteins, and sera and urinary metabolites.

resultsMaternal smoking during pregnancy was associated with DNA methylation changes at 18 loci in child blood. DNA methylation at 5 of these loci was related to expression of the nearby genes. However, the expression of these genes themselves was only weakly associated with maternal smoking. Conversely, childhood SHS was not associated with blood DNA methylation or transcription patterns, but with reduced levels of several serum metabolites and with increased plasma PAI1 (plasminogen activator inhibitor-1), a protein that inhibits fibrinolysis. Some of the in utero and childhood smoking-related molecular marks showed dose-response trends, with stronger effects with higher dose or longer duration of the exposure.

conclusionIn this first study covering multi-layer molecular features, pregnancy and childhood exposure to tobacco smoke were associated with distinct molecular phenotypes in children. The persistent and dose-dependent changes in the methylome make CpGs good candidates to develop biomarkers of past exposure. Moreover, compared to methylation, the weak association of maternal smoking in pregnancy with gene expression suggests different reversal rates and a methylation-based memory to past exposures. Finally, certain metabolites and protein markers evidenced potential early biological effects of postnatal SHS, such as fibrinolysis.

Indexed as

AdolescentBiomarkersChildChild, PreschoolDNA MethylationFemaleHumansInfantInfant, NewbornMalePregnancyPrenatal Exposure Delayed EffectsTobacco Smoke PollutionBiomarkersTobacco Smoke PollutionChildrenDNA methylationMetabolomicsmiRNAMolecular phenotypesOmicsPregnancySecondhand smokeTobacco smokingTranscription

Identifiers

PMID32811491
PMCPMC7437049
OpenAlexW3068455830

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.