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Related Concept Videos

Teratogenicity01:07

Teratogenicity

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The ability of a drug to produce structural deformations and functional abnormalities in the developing embryo or the fetus is called teratogenicity, and the drug producing this effect is known as a teratogen. Teratogenic effects include stillbirth, miscarriage, intrauterine growth restriction, and neurocognitive delay. A teratogen may affect the embryo at different stages of development, which is important in determining the type and extent of the damage. During blastocyst formation, the early...
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Fetal circulation is a unique system that facilitates the exchange of gases, nutrients, and waste products between the developing fetus and the mother. This intricate process takes place through a special organ called the placenta.
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Related Experiment Video

Updated: Apr 30, 2026

Modeling Encephalopathy of Prematurity Using Prenatal Hypoxia-ischemia with Intra-amniotic Lipopolysaccharide in Rats
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Predicting infant neurodevelopmental outcomes using the placenta?

Gerard W O'Keeffe1, Louise C Kenny2

  • 1Irish Centre for Fetal and Neonatal Translational Research (INFANT), Cork University Maternity Hospital, Cork, Ireland; Department of Anatomy and Neuroscience, Biosciences Institute, University College Cork, Cork, Ireland.

Trends in Molecular Medicine
|May 6, 2014
PubMed
Summary
This summary is machine-generated.

Predicting infant neurodevelopmental outcomes is vital. Placental molecular profiles may serve as a barometer for in-utero conditions, guiding early interventions for at-risk infants.

Keywords:
integrated ‘-omics’neurodevelopmentplacentascreening

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Area of Science:

  • Perinatal Medicine
  • Developmental Neuroscience
  • Genomics

Background:

  • Early identification of infants at risk for poor neurodevelopmental outcomes is critical for timely interventions.
  • The placenta's molecular profile offers a potential window into the in-utero environment and its impact on infant development.

Purpose of the Study:

  • To review recent advances in using placental molecular characteristics for predicting infant neurodevelopmental outcomes.
  • To explore the potential of an integrated '-omics' approach for enhanced predictive accuracy.

Main Methods:

  • Review of current literature on placental molecular analysis.
  • Discussion of various '-omics' (genomics, epigenomics, transcriptomics, proteomics, metabolomics) data integration strategies.

Main Results:

  • Advances in placental molecular profiling offer promising biomarkers.
  • Integrated '-omics' approaches may improve the prediction of neurodevelopmental trajectories.

Conclusions:

  • Placental molecular characteristics represent a viable 'molecular barometer' for in-utero developmental assessment.
  • Future research should focus on integrating multi-omics data for robust prediction models to guide early infant care.