Skip to main navigation Skip to search Skip to main content

Improving pregnancy outcomes in humans through studies in sheep

  • Janna L. Morrison
  • , Mary J. Berry
  • , Kimberley J. Botting
  • , Jack R.T. Darby
  • , Martin G. Frasch
  • , Kathryn L. Gatford
  • , Dino A. Giussani
  • , Clint L. Gray
  • , Richard Harding
  • , Emilio A. Herrera
  • , Matthew W. Kemp
  • , Mitchell C. Lock
  • , I. Caroline McMillen
  • , Timothy J. Moss
  • , Gabrielle C. Musk
  • , Mark H. Oliver
  • , Timothy R.H. Regnault
  • , Claire T. Roberts
  • , Jia Yin Soo
  • , Ross L. Tellam

Research output: Contribution to journalReview ArticleResearchpeer-review

Abstract

Experimental studies that are relevant to human pregnancy rely on the selection of appropriate animal models as an important element in experimental design. Consideration of the strengths and weaknesses of any animal model of human disease is fundamental to effective and meaningful translation of preclinical research. Studies in sheep have made significant contributions to our understanding of the normal and abnormal development of the fetus. As a model of human pregnancy, studies in sheep have enabled scientists and clinicians to answer questions about the etiology and treatment of poor maternal, placental, and fetal health and to provide an evidence base for translation of interventions to the clinic. The aim of this review is to highlight the advances in perinatal human medicine that have been achieved following translation of research using the pregnant sheep and fetus.

Original languageEnglish
Pages (from-to)R1123-R1153
Number of pages31
JournalAmerican Journal of Physiology - Regulatory Integrative and Comparative Physiology
Volume315
Issue number6
DOIs
Publication statusPublished - 1 Dec 2018

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Animal models
  • Fetus
  • Mother
  • Placenta
  • Pregnancy
  • Sheep

Cite this