Evaluating Neurodevelopmental Consequences of Perinatal Exposure to Antiretroviral Drugs: Current Challenges and New

Jordan G Schnoll1, Brian Temsamrit1, Daniel Zhang2

  • 1Department of Neuroscience and Mahoney Institute for Neurosciences, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.

Insights

Antiretroviral therapy (ART) prevents mother-to-child HIV transmission but its effects on fetal neurodevelopment require further study. Novel human stem cell models offer promising new ways to assess ART safety during pregnancy.

Area of Science:

  • Neuroscience
  • Developmental Biology
  • Pharmacology

Background:

  • Antiretroviral therapy (ART) use is increasing globally among women of childbearing age.
  • While ART reduces mother-to-child HIV transmission, its long-term effects on fetal neurodevelopment are not fully understood.
  • Pregnancy's physiological changes complicate drug safety evaluations in pregnant women.

Purpose of the Study:

  • To review current knowledge on ART's impact on fetal brain development.
  • To explore existing and novel methods for evaluating ART neurodevelopmental safety.
  • To highlight the potential of human stem cell-based models in predicting ART effects.

Main Methods:

  • Review of preclinical animal models and clinical observational studies.
  • Discussion of challenges in evaluating drug safety during pregnancy.
  • Introduction of human induced pluripotent stem cell (iPSC)-based 2D and 3D models.
  • Single cell profiling in response to drug exposure.

Main Results:

  • Data on ART's neurodevelopmental effects largely comes from animal models and observational studies.
  • Human stem cell models provide a platform to study drug effects on human neural development.
  • These models allow for detailed analysis of drug impact on neuronal networks and brain regions.

Conclusions:

  • Further research is crucial to understand ART's long-term neurodevelopmental effects.
  • Human stem cell-based strategies offer a promising avenue for predicting ART safety in pregnancy.
  • Integrating data from diverse models is essential for comprehensive risk assessment.

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