Evidence map›Paper›PMID 37107594›Full record

ArticleGenes2023

Prenatal Environmental Stressors and DNA Methylation Levels in Placenta and Peripheral Tissues of Mothers and Neonates Evaluated by Applying Artificial Neural Networks.

Andrea Stoccoro, Vanessa Nicolì, Fabio Coppedè, Enzo Grossi, Giorgio Fedrizzi, Simonetta Menotta, Francesca Lorenzoni, Marta Caretto, Arianna Carmignani, Sabina Pistolesi and 3 more

Open access · goldAbstract read
In one paragraph

Article in Genes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
8.1field-weighted citation impact, top 3% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Uterine Vulnerability to Environmental PMInternational journal of molecular sciences · 2026
    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

13 authors at 4 institutions in 1 country.

Andrea StoccoroDepartment of Translational Research and of New Surgical and Medical Technologies, University of Pisa, 56126 Pisa, Italy.ORCID 0000-0002-6768-8466
Vanessa NicolìDepartment of Translational Research and of New Surgical and Medical Technologies, University of Pisa, 56126 Pisa, Italy.ORCID 0000-0003-2751-7352
Fabio CoppedèDepartment of Translational Research and of New Surgical and Medical Technologies, University of Pisa, 56126 Pisa, Italy.ORCID 0000-0002-3081-6647
Enzo GrossiAutism Research Unit, Villa Santa Maria Foundation, 22038 Tavernerio, Italy.ORCID 0000-0003-0346-2684
Giorgio FedrizziIstituto Zooprofilattico Sperimentale della Lombardia e dell'Emilia Romagna, Chemical Department, Via P. Fiorini 5, 40127 Bologna, Italy.
Simonetta MenottaIstituto Zooprofilattico Sperimentale della Lombardia e dell'Emilia Romagna, Chemical Department, Via P. Fiorini 5, 40127 Bologna, Italy.ORCID 0000-0002-1077-4785
Francesca LorenzoniDivision of Neonatology and NICU, Department of Clinical and Experimental Medicine, 56126 Pisa, Italy.
Marta CarettoObstetrics and Gynecology Unit 1, Department of Experimental and Clinical Medicine, University of Pisa, 56126 Pisa, Italy.ORCID 0000-0002-1157-9930
Arianna CarmignaniObstetrics and Gynecology Unit 2, Pisa University Hospital, 56126 Pisa, Italy.
Sabina PistolesiFirst Division of Pathology, Department of Laboratory Medicine, Pisa University Hospital, 56126 Pisa, Italy.
Ernesto BurgioEuropean Cancer and Environment Research Institute (ECERI), 1000 Brussels, Belgium.
Vassilios FanosDepartment of Surgical Sciences, University of Cagliari and Neonatal Intensive Care Unit, AOU Cagliari, 09124 Cagliari, Italy.
Lucia MiglioreDepartment of Translational Research and of New Surgical and Medical Technologies, University of Pisa, 56126 Pisa, Italy.
University of Pisa · ITIstituto Zooprofilattico Sperimentale della Lombardia e dell'Emilia Romagna "Bruno Ubertini" · ITAzienda Ospedaliera Universitaria Pisana · ITUniversity of Cagliari · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exposure to environmental stressors during pregnancy plays an important role in influencing subsequent susceptibility to certain chronic diseases through the modulation of epigenetic mechanisms, including DNA methylation. Our aim was to explore the connections between environmental exposures during gestation with DNA methylation of placental cells, maternal and neonatal buccal cells by applying artificial neural networks (ANNs). A total of 28 mother-infant pairs were enrolled. Data on gestational exposure to adverse environmental factors and on mother health status were collected through the administration of a questionnaire. DNA methylation analyses at both gene-specific and global level were analyzed in placentas, maternal and neonatal buccal cells. In the placenta, the concentrations of various metals and dioxins were also analyzed. Analysis of ANNs revealed that suboptimal birth weight is associated with placental

Indexed as

DNA MethylationPlacentaEpigenesis, GeneticFemaleHumansInfantInfant, NewbornMothersMouth MucosaPregnancyartificial neural networksdioxinsDNA methylationDOHaDepigeneticsheavy metalsplacentaprenatal exposure

Identifiers

PMID37107594
PMCPMC10138241
OpenAlexW4361267819

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.