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  MRC Precision Medicine DTP: Blood flow and solute transport in human placental vascular networks: an in silico approach to characterizing pregnancy pathologies


   College of Medicine and Veterinary Medicine

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Prof Miguel Bernabeu Prof Timm Krueger  No more applications being accepted  Competition Funded PhD Project (European/UK Students Only)

About the Project

Background
The human placenta performs diverse functions later taken on by several different organs. In particular, it mediates the exchange of vital solutes, including respiratory gases and nutrients, between the mother and the developing fetus. The complex heterogeneous structure of the placenta is adapted to perform these various functions. However, despite its availability for ex vivo perfusion experiments just after birth, and the importance of placental dysfunction in conditions such as fetal growth restriction, the link between placental structure and function in health and disease remains poorly understood [1].
Recent advances in three-dimensional (3D) imaging have revealed aspects of placental structure in intricate detail [2]. Fetal blood flows from the umbilical cord through a complex network of vessels that are confined within multiple villous trees; the trees sit in chambers that are perfused with maternal blood. Much of the solute exchange between maternal and fetal blood takes place across the thin-walled peripheral branches of the trees (terminal villi), which contain the smallest feto-placental capillaries. Quantitative measurements have demonstrated structural differences between healthy and pathological placentas [3], but physical explanations for the observed symptoms of diseases such as pre-eclampsia and diabetes have so far been confined mainly to studies on two-dimensional histological data [2]. Little is known about how the elaborate and irregular three-dimensional (3D) organisation of capillaries within terminal villi, the primary functional exchange units of the feto-placental circulation, contributes to solute exchange in health and disease.
The research will employ state-of-the-art 3D imaging catalogue of placental microstructure to derive theoretical models. The output of 3D confocal microscopy and X-ray micro-computed tomography covers a wide range of spatial scales, from 1 μm to 1 cm, which will aid in the design of computational models. The structural datasets will be complemented by the functional clinical blood analysis data derived from literature as well as via the existing Manchester pregnancy Biobank at St Mary’s Hospital.

Aims
In this study, we will combine image analysis and computer simulations of blood flow as a suspension of deformable particles [4] to examine the dependence of solute transport on the geometrical arrangement of capillaries within terminal villi of the placenta. The properties of these functional exchange units will be quantified and encapsulated in a general theory of feto- placental transport that links the complex 3D structure of fetal microvascular networks to their solute exchange capacity. Particular emphasis will be placed in understanding how these mechanisms are compromised in pathological placentas. Future studies will investigate how this theory can complement current imaging modalities used for the evaluation of the placenta in vivo.

Training outcomes
The student will receive state-of-the-art training in the core disciplines of image analysis, computational modelling, and physiology while gaining expert knowledge in the context of placental research. This highly interdisciplinary approach is well aligned with the “T-shaped researcher” training requirements identified as key in the DTP in Precision Medicine. The student will develop the essential soft and domain-specific skills necessary to design and implement novel quantitative and computational methods that could solve challenging problems across the entire spectrum of cardiovascular medicine both in academic and industrial settings.

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This MRC programme is joint between the Universities of Edinburgh and Glasgow. You will be registered at the host institution of the primary supervisor detailed in your project selection.

All applications should be made via the University of Edinburgh, irrespective of project location:

http://www.ed.ac.uk/studying/postgraduate/degrees/index.php?r=site/view&id=919

Please note, you must apply to one of the projects and you should contact the primary supervisor prior to making your application. Additional information on the application process if available from the link above.

For more information about Precision Medicine visit:

http://www.ed.ac.uk/usher/precision-medicine


Funding Notes

Start: September 2019

Qualifications criteria: Applicants applying for a MRC DTP in Precision Medicine studentship must have obtained, or will soon obtain, a first or upper-second class UK honours degree or equivalent non-UK qualifications, in an appropriate science/technology area.

Residence criteria: The MRC DTP in Precision Medicine grant provides tuition fees and stipend of at least £14,777 (RCUK rate 2018/19) for UK and EU nationals that meet all required eligibility criteria.

Full eligibility details are available: http://www.mrc.ac.uk/skills-careers/studentships/studentship-guidance/student-eligibility-requirements/

Enquiries regarding programme: [Email Address Removed]

References

[1] Benirschke K, Burton GJ & Baergen RN (2012) Pathology of the Human Placenta. Berlin:Springer-Verlag, 6th ed.
[2] Jensen OE & Chernyavsky IL (2019) Blood flow and transport in the human placenta. Ann Rev Fluid Mech 51:25.
[3] Junaid TO, et al. (2017) Whole organ vascular casting and micro-CT examination of the human placental vascular tree reveals novel alterations associated with pregnancy disease. Sci Rep 7:4144.
[4] Krüger T (2016) Effect of tube diameter and capillary number on platelet margination and near-wall dynamics. Rheologica Acta 55:511.

Project supervisors

Career overview

Miguel O. Bernabeu completed a D.Phil. in Computational Biology at the University of Oxford in 2011, focusing on the development of computational methods for simulating ventricular cardiac electrophysiology. This work laid the foundation for multiple subsequent Ph.D. projects and was crucial to the success of the EU-FP7 grant VPH-preDiCT, which involved collaboration with pharmaceutical companies to integrate mathematical modelling into drug cardiotoxicity research. His research was presented at the Heart Rhythm 2011 conference, a significant event in cardiac science. In 2011, Bernabeu joined the Centre for Mathematics and Physics in the Life Sciences and Experimental Biology (CoMPLEX) at University College London, where he investigated the relationship between haemodynamics and vascular remodelling using both computational and experimental methods. His contributions were featured in the New Scientist magazine and published in various journals and conferences. During this period, he recognised the necessity of combining experimental and computational techniques to tackle critical questions regarding blood vessel responses to flow conditions. In 2015, Bernabeu was appointed to The University of Edinburgh as a Chancellor’s Fellow, establishing his first research group at the Centre for Medical Informatics, Usher Institute. He was promoted to Senior Lecturer in 2019. His research group has received funding from several prestigious organisations, including Fondation Leducq, the European Commission, EPSRC, MRC, the British Heart Foundation, The Alan Turing Institute, and Diabetes UK. In May 2021, Bernabeu became the Deputy Director of The Bayes Centre, the university's innovation hub for Data Science and Artificial Intelligence, where he oversees research strategy and delivery as Director of Research.


Research interests

Miguel O. Bernabeu's research focuses on vascular structure and function, particularly the relationship between abnormal vascularisation and various diseases such as myocardial infarction, stroke, and tumourigenesis. Their work aims to advance the understanding of vascular biology and biotransport, translating findings into next-generation vascular normalisation therapies. Specific research interests include the development of automated methods for diagnosing eye and systemic diseases through retinal scans, studying the tumour microvascular environment's impact on treatment, and investigating vascular remodelling during angiogenesis. The approach combines theoretical mathematical modelling and machine learning, in collaboration with vascular and cancer biologists and clinicians.

View Professor Miguel O. Bernabeu's profile 
Career overview

Professor Timm Krueger is a Professor of Fluid and Suspension Dynamics and the Head of Research Institute at the School of Engineering. They focus on the modelling and simulation of complex fluids on microfluidic scales, particularly in relation to suspensions of deformable particles and red blood cells. Professor Krueger teaches Chemical Engineering to second-year students and serves as the Co-Chair of the University's Research Cultures Forum. They obtained a PhD in Physics from Bochum University, Germany, in 2011, and a Diploma in Physics from Heidelberg University, Germany, in 2007.


Research interests

Professor Krueger's research focuses on the modelling and simulation of complex fluids at microfluidic scales, specifically examining suspensions of deformable particles and red blood cells. They specialise in microfluidics, suspensions and emulsions, blood flow in complex geometries, blood cell separation, inertial microfluidics, the lattice-Boltzmann method, and the immersed-boundary method.

View Professor Timm Krueger's profile