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Artificial arteries to improve the study of disease

Abdul Barakat
Abdul Barakat
CNRS Research Director and AXA Professor of Mechanics and Biology at École Polytechnique (IP Paris)
Key takeaways
  • The development of artificial arteries and vessels can help to better understand the fluid mechanics in arteries in order to better treat medical problems.
  • This system is being deployed in collaboration with Lille University Hospital (CHU Lille) to measure the “Willebrand factor”, involved in thrombosis formation, which can result in blockage of blood vessels.
  • Another artery model is used to represent microvascular diseases such as hypertension or Alzheimer's disease.
  • These models make it possible to study this issue by representing a vessel in its complexity, with the different types of cells that make it up or that are associated with it in the brain.

Small wind­ing paths or blood high­ways, ves­sels are essen­tial ele­ments of bio­logy. Long con­sidered as simple por­ous pipes by physiology, they turn out to be involved in com­plex phys­ic­al and bio­chem­ic­al mech­an­isms that Abdul Barakat’s team is study­ing in the Hydro­dynam­ics Labor­at­ory (Lad­HyX).

We are devel­op­ing arti­fi­cial arter­ies and ves­sels to study the form­a­tion of bio­lo­gic­al phe­nom­ena, such as dis­eases, on dif­fer­ent scales. The aim is to take into account a factor often neg­lected by mod­ern bio­logy: the flu­id mech­an­ics in arter­ies. We have thus devised two mod­els, which can be adap­ted and applied to mul­tiple med­ic­al questions.

From coronary artery disease…

The first is formed from a col­la­gen hydro­gel base form­ing a tube of 3 mil­li­metres intern­al dia­met­er and 4.5 mil­li­metres extern­al dia­met­er. Smooth muscle cells and endotheli­al cells, which form nat­ur­al arter­ies, are intro­duced into the tube. The res­ult is an arti­fi­cial ves­sel that closely resembles a coron­ary artery, which sup­plies the heart with oxy­gen. This mod­el rep­res­ents a very high-pres­sure flow regime with shear. It is inten­ded to study coron­ary artery dis­ease, also known as atherosclerosis. 

In order to char­ac­ter­ise the cel­lu­lar response to the induced mech­an­ic­al factors, it is pos­sible to make use of high-res­ol­u­tion ima­ging sys­tems, such as con­focal fluor­es­cence micro­scopy, as well as imped­ance sensors. By pla­cing these sensors on the wall of our arti­fi­cial arter­ies, we pro­duce a true spa­tial­isa­tion that accounts for the cel­lu­lar dynam­ics involved. This approach makes it pos­sible to account for the dynam­ics of cel­lu­lar responses or inter­ac­tions between the dif­fer­ent types of cells in the vas­cu­lar wall. 

This sys­tem is, for example, deployed in col­lab­or­a­tion with the Uni­ver­sity Hos­pit­al of Lille in order to meas­ure the pro­duc­tion and dis­tri­bu­tion of the Wil­l­eb­rand factor involved in the form­a­tion of throm­bos­is, which can clog blood ves­sels. It also enables the Uni­ver­sity of New South Wales in Sydney to study the effect of tur­bu­lence on arter­i­al walls and the EFS in Stras­bourg to study the form­a­tion of plate­lets in the blood.

At Lad­hyx, this mod­el is help­ing us to under­stand the heal­ing of a ves­sel dur­ing the inser­tion of a stent, the small springs used to cor­rect a vas­cu­lar nar­row­ing. The pro­ced­ure can dam­age the endotheli­al cells that line the ves­sel lumen, cre­at­ing a risk of “sten­os­is”, a col­lapse of the vas­cu­lar walls. By anti­cip­at­ing the heal­ing char­ac­ter­ist­ics of each type of stent, we hope to avoid this phe­nomen­on1.

 … to microvascular disease

The second type of mod­el, still based on col­la­gen hydro­gel, has dia­met­ers of 120 to 150 µm2 and allows the rep­res­ent­a­tion of microvas­cu­lar dis­eases such as hyper­ten­sion or Alzheimer­’s dis­ease. In the case of Alzheimer­’s dis­ease, this brain patho­logy is often con­sidered as a dis­ease caused by the abnor­mal beha­viour of pep­tides (tau or β‑amyloid). How­ever, this rep­res­ent­a­tion has not led to real clin­ic­al advances des­pite sig­ni­fic­ant invest­ment over the last few dec­ades. Now, the idea is emer­ging that Alzheimer­’s dis­ease may res­ult from a microvas­cu­lar dis­order. Labor­at­or­ies have shown a cor­rel­a­tion between this dis­ease and cereb­ral hypo­p­er­fu­sion, i.e. abnor­mal blood flow in the brain.

In some anim­al mod­els, it is pos­sible to manip­u­late per­fu­sion of the brain. In this way, it is pos­sible to observe degen­er­a­tion of neur­ons and an accu­mu­la­tion of the pep­tides asso­ci­ated with Alzheimer­’s dis­ease. We there­fore sus­pect that an anom­aly in mech­an­ic­al factors par­ti­cip­ates in the devel­op­ment of the dis­ease or may even ini­ti­ate it. Our mod­els make it pos­sible to study this ques­tion by rep­res­ent­ing a ves­sel in all its com­plex­ity, with the dif­fer­ent types of cells that make it up or are shared with it in the brain. We can even vary the cell com­pos­i­tion to rep­res­ent dif­fer­ent bio­lo­gic­al situations.

In gen­er­al, our mod­els open up the study of the bio­lo­gic­al effects of mech­an­ic­al forces. It is known that such factors can modi­fy the expres­sion of pro­teins. There is there­fore a dimen­sion of mech­an­ic­al-bio­chem­ic­al inter­ac­tions that we are seek­ing to explore.

From mod­el to clinic

Advances in math­em­at­ic­al mod­el­ling, bioen­gin­eer­ing and in silico medi­cine are lead­ing to the devel­op­ment of increas­ingly effi­cient mod­els of human patho­lo­gies. In an edit­or­i­al for the latest Vir­tu­al Physiolo­gic­al Human con­fer­ence 3, spe­cial­ists showed that these latest gen­er­a­tions of mod­els have reached the clin­ic at sev­er­al levels. 

They can shed light on pre­vi­ously unknown aspects of physiopath­o­logy and thus open up new aven­ues of treat­ment. This is the case of the obstruct­ive sleep apnoea mod­el pro­posed by the team of Vir­ginie Le Rolle and Alfredo Hernán­dez at the Uni­ver­sity of Rennes, which ana­lyses the coup­ling between res­pir­a­tion, meta­bol­ism and pul­mon­ary mechanics. 

Some of them allow indi­vidu­al­ised cal­cu­la­tions accord­ing to a patient’s data and there­fore improve the per­son­al­isa­tion of man­age­ment. The car­di­ac elec­tro­physiology mod­el com­bin­ing MRI and ECG data developed under the dir­ec­tion of Gernot Plank, from the Med­ic­al Uni­ver­sity of Graz in Aus­tria, is part of this approach.

Moreover, oth­ers have helped to anti­cip­ate and man­age treat­ment regimes, such as the post-Caesarean sec­tion heal­ing mod­el pro­posed by Fernanda Fidalgo from the Uni­ver­sity of Porto. These are all examples how mod­els and clin­ic­al prac­tice converge.

Interview by Agnès Vernet
1E.E. Ant­oine et al. (2016), J R Soc Inter­face, 13 (125) : 20 160 834. doi : 10,109 8/rsif.2016.0834
2C.A. Des­salles et al. (2021), Biofab­ric­a­tion 14 (1), 015003. doi : 10,108 8/1758–5090/ac2baa
3I. E Vign­on-Clem­en­tel et al., Ann Bio­med Eng (2022) 50(5):483–484. doi: 10.1007/s10439-022–02943‑y

Contributors

Abdul Barakat

Abdul Barakat

CNRS Research Director and AXA Professor of Mechanics and Biology at École Polytechnique (IP Paris)

Abdul Barakat is also adjunct professor of Mechanical and Manufacturing Engineering at the University of New South Wales in Sydney, Australia. A graduate of Biofluid Mechanics from MIT, Abdul Barakat co-founded the startup Sensome, which develops advanced sensor technologies for medical devices. His research interests include vascular biomechanics and bioengineering, cellular mechanobiology and endovascular devices. He has published more than 250 journal and conference papers and is the recipient of the Pfizer-Parke Davis Atorvastatin Research Award (2001), an AXA Research Fund Permanent Chair (2010), and the Eugenio Beltrami Senior Scientist Prize from the International Research Center for Mathematics and Mechanics of Complex Systems (2020). He is also an elected member of the American Institute for Medical and Biological Engineering.

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