A stochastic model for early placental development

Author:

Cotter Simon L.1,Klika Václav23,Kimpton Laura3,Collins Sally45,Heazell Alexander E. P.67

Affiliation:

1. School of Mathematics, University of Manchester, Oxford Road, Manchester, UK

2. Department of Mathematics, FNSPE, Czech Technical University in Prague, Trojanova 13, Prague 2 12000, Czech Republic

3. Mathematical Institute, University of Oxford, Woodstock Road, Oxford, UK

4. Nuffield Department of Obstetrics and Gynaecology, University of Oxford, Oxford, UK

5. Fetal Medicine Unit, John Radcliffe Hospital, Oxford, UK

6. Institute of Human Development, Maternal and Fetal Health Research Centre, University of Manchester, Manchester, UK

7. Maternal and Fetal Health Research Centre, St Mary's Hospital, Central Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK

Abstract

In the human, placental structure is closely related to placental function and consequent pregnancy outcome. Studies have noted abnormal placental shape in small-for-gestational-age infants which extends to increased lifetime risk of cardiovascular disease. The origins and determinants of placental shape are incompletely understood and are difficult to study in vivo . In this paper, we model the early development of the human placenta, based on the hypothesis that this is driven by a chemoattractant effect emanating from proximal spiral arteries in the decidua. We derive and explore a two-dimensional stochastic model, and investigate the effects of loss of spiral arteries in regions near to the cord insertion on the shape of the placenta. This model demonstrates that disruption of spiral arteries can exert profound effects on placental shape, particularly if this is close to the cord insertion. Thus, placental shape reflects the underlying maternal vascular bed. Abnormal placental shape may reflect an abnormal uterine environment, predisposing to pregnancy complications. Through statistical analysis of model placentas, we are able to characterize the probability that a given placenta grew in a disrupted environment, and even able to distinguish between different disruptions.

Publisher

The Royal Society

Subject

Biomedical Engineering,Biochemistry,Biomaterials,Bioengineering,Biophysics,Biotechnology

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