Literature DB >> 36163494

A soft robotic sleeve mimicking the haemodynamics and biomechanics of left ventricular pressure overload and aortic stenosis.

Luca Rosalia1,2,3,4, Caglar Ozturk2, Jaume Coll-Font3,4, Yiling Fan2,3,4,5, Yasufumi Nagata6,7, Manisha Singh2, Debkalpa Goswami2, Adam Mauskapf8, Shi Chen3,4, Robert A Eder3,4, Efrat M Goffer1,2, Jo H Kim3,4, Salva Yurista3,4, Benjamin P Bonner3,4, Anna N Foster3,4, Robert A Levine6,7, Elazer R Edelman1,2,9, Marcello Panagia3,10, Jose L Guerrero3, Ellen T Roche11,12,13, Christopher T Nguyen14,15,16,17,18.   

Abstract

Preclinical models of aortic stenosis can induce left ventricular pressure overload and coarsely control the severity of aortic constriction. However, they do not recapitulate the haemodynamics and flow patterns associated with the disease. Here we report the development of a customizable soft robotic aortic sleeve that can mimic the haemodynamics and biomechanics of aortic stenosis. By allowing for the adjustment of actuation patterns and blood-flow dynamics, the robotic sleeve recapitulates clinically relevant haemodynamics in a porcine model of aortic stenosis, as we show via in vivo echocardiography and catheterization studies, and a combination of in vitro and computational analyses. Using in vivo and in vitro magnetic resonance imaging, we also quantified the four-dimensional blood-flow velocity profiles associated with the disease and with bicommissural and unicommissural defects re-created by the robotic sleeve. The design of the sleeve, which can be adjusted on the basis of computed tomography data, allows for the design of patient-specific devices that may guide clinical decisions and improve the management and treatment of patients with aortic stenosis.
© 2022. The Author(s), under exclusive licence to Springer Nature Limited.

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Year:  2022        PMID: 36163494     DOI: 10.1038/s41551-022-00937-8

Source DB:  PubMed          Journal:  Nat Biomed Eng        ISSN: 2157-846X            Impact factor:   29.234


  48 in total

1.  Population-wide trends in aortic stenosis incidence and outcomes.

Authors:  Robert O Bonow; Philip Greenland
Journal:  Circulation       Date:  2015-02-17       Impact factor: 29.690

2.  Burden of valvular heart diseases: a population-based study.

Authors:  Vuyisile T Nkomo; Julius M Gardin; Thomas N Skelton; John S Gottdiener; Christopher G Scott; Maurice Enriquez-Sarano
Journal:  Lancet       Date:  2006-09-16       Impact factor: 79.321

3.  Wall stress and patterns of hypertrophy in the human left ventricle.

Authors:  W Grossman; D Jones; L P McLaurin
Journal:  J Clin Invest       Date:  1975-07       Impact factor: 14.808

4.  Soft Robotic Surrogate Lung.

Authors:  Olivier Ranunkel; Firat Güder; Hari Arora
Journal:  ACS Appl Bio Mater       Date:  2019-03-20

5.  RoSE: A Robotic Soft Esophagus for Endoprosthetic Stent Testing.

Authors:  Dipankar Bhattacharya; Sherine J V Ali; Leo K Cheng; Weiliang Xu
Journal:  Soft Robot       Date:  2020-08-04       Impact factor: 8.071

Review 6.  Aortic stenosis.

Authors:  Blase A Carabello; Walter J Paulus
Journal:  Lancet       Date:  2009-02-21       Impact factor: 79.321

7.  An organosynthetic dynamic heart model with enhanced biomimicry guided by cardiac diffusion tensor imaging.

Authors:  Clara Park; Yiling Fan; Gregor Hager; Hyunwoo Yuk; Manisha Singh; Allison Rojas; Aamir Hameed; Mossab Saeed; Nikolay V Vasilyev; Terry W J Steele; Xuanhe Zhao; Christopher T Nguyen; Ellen T Roche
Journal:  Sci Robot       Date:  2020-01-29

8.  SoGut: A Soft Robotic Gastric Simulator.

Authors:  Yu Dang; Yuanxiang Liu; Ryman Hashem; Dipankar Bhattacharya; Jacqueline Allen; Martin Stommel; Leo K Cheng; Weiliang Xu
Journal:  Soft Robot       Date:  2020-06-19       Impact factor: 8.071

9.  An organosynthetic soft robotic respiratory simulator.

Authors:  Markus A Horvath; Lucy Hu; Tanja Mueller; Jon Hochstein; Luca Rosalia; Kathryn A Hibbert; Charles C Hardin; Ellen T Roche
Journal:  APL Bioeng       Date:  2020-06-09

Review 10.  Global epidemiology of valvular heart disease.

Authors:  Sean Coffey; Ross Roberts-Thomson; Alex Brown; Jonathan Carapetis; Mao Chen; Maurice Enriquez-Sarano; Liesl Zühlke; Bernard D Prendergast
Journal:  Nat Rev Cardiol       Date:  2021-06-25       Impact factor: 32.419

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