An in vitro, in utero and in silico framework of oxygen diffusion in intricate vascular networks of the placenta

• Published in: bioRxiv
• Main Authors: Bappoo, Nikhilesh, Kelsey, Lachlan J, Tongpob, Yutthapong, Feindel, Kirk W, Harrison Caddy, Wyrwoll, Caitlin S, Doyle, Barry J
• Format: Paper
• Language: English
• Published: Cold Spring Harbor Cold Spring Harbor Laboratory Press 01.12.2021
• Subjects: Adaptation; Blood flow; Computer applications; Fetuses; Magnetic resonance imaging; Oxygenation; Perfusion; Placenta; Structure-function relationships
• DOI: 10.1101/2021.12.01.470714

The placenta is a temporary and complex organ critical for fetal development through its subtle but convoluted harmonization of endocrine, vascular, haemodynamic and exchange adaptations. Yet, due to experimental, technological and ethical constraints, this unique organ remains poorly understood. In silico tools are emerging as a powerful means to overcome these challenges and have the potential to actualize novel breakthroughs. Here, we present an interdisciplinary framework combining in vitro experiments used to develop an elegant and scalable in silico model of oxygen diffusion. We then use in utero imaging of placental perfusion and oxygenation in both control and growth-restricted rodent placentas for validation of our in silico model. Our framework revealed the structure-function relationship in the feto-placental vasculature; oxygen diffusion is impaired in growth-restricted placentas, due to the diminished arborization of growth-restricted feto-placental vasculature and the lack of decelerated flow for adequate oxygen diffusion and exchange. We highlight the mechanisms of impairment in a rat model of growth restriction, underpinned by placental vascular impairment. Our framework reports and validates the prediction of blood flow deceleration impairment in growth restricted placentas with the placenta's oxygen transfer capability being significantly impaired, both globally and locally. Key words: Placenta; fetal growth restriction; oxygen diffusion; computational fluid dynamics; MRI Competing Interest Statement The authors have declared no competing interest.