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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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