Evidence map›Paper›PMID 36163494›Full record

ArticleNature biomedical engineering2022

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

Luca Rosalia, Caglar Ozturk, Jaume Coll-Font, Yiling Fan, Yasufumi Nagata, Manisha Singh, Debkalpa Goswami, Adam Mauskapf, Shi Chen, Robert A Eder and 11 more

Abstract read
In one paragraph

Article in Nature biomedical engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Review
  2. Soft robotic devices for cardiovascular medicine.Nature reviews. Cardiology · 2026
    Review
  3. Materials and System Design for Self-Decision Bioelectronic Systems.Advanced materials (Deerfield Beach, Fla.) · 2026
    Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. AI-Powered Multimodal Modeling of Personalized Hemodynamics in Aortic Stenosis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Applications of 3D Printing Technology in Diagnosis and Management of Heart Failure.Current treatment options in cardiovascular medicine · 2024
    Article
  14. Article
  15. Article
  16. Article
  17. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

21 authors.

Luca Rosalia *Health Sciences and Technology Program, Harvard - Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-7214-7859
Caglar Ozturk *Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-3688-0148
Jaume Coll-FontCardiovascular Research Center, Massachusetts General Hospital, Charlestown, MA, USA.ORCID http://orcid.org/0000-0001-9341-6838
Yiling FanInstitute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA.
Yasufumi NagataCardiac Ultrasound Laboratory, Massachusetts General Hospital, Boston, MA, USA.ORCID http://orcid.org/0000-0001-5481-7524
Manisha SinghInstitute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA.
Debkalpa GoswamiInstitute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-6698-0027
Adam MauskapfCorrigan Minehan Heart Center, Massachusetts General Hospital, Boston, MA, USA.
Shi ChenCardiovascular Research Center, Massachusetts General Hospital, Charlestown, MA, USA.
Robert A EderCardiovascular Research Center, Massachusetts General Hospital, Charlestown, MA, USA.ORCID http://orcid.org/0000-0003-0161-7937
Efrat M GofferHealth Sciences and Technology Program, Harvard - Massachusetts Institute of Technology, Cambridge, MA, USA.
Jo H KimCardiovascular Research Center, Massachusetts General Hospital, Charlestown, MA, USA.
Salva YuristaCardiovascular Research Center, Massachusetts General Hospital, Charlestown, MA, USA.ORCID http://orcid.org/0000-0001-9126-739X
Benjamin P BonnerCardiovascular Research Center, Massachusetts General Hospital, Charlestown, MA, USA.
Anna N FosterCardiovascular Research Center, Massachusetts General Hospital, Charlestown, MA, USA.ORCID http://orcid.org/0000-0002-1838-7237
Robert A LevineCardiac Ultrasound Laboratory, Massachusetts General Hospital, Boston, MA, USA.
Elazer R EdelmanHealth Sciences and Technology Program, Harvard - Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-7832-7156
Marcello PanagiaCardiovascular Research Center, Massachusetts General Hospital, Charlestown, MA, USA.
Jose L GuerreroCardiovascular Research Center, Massachusetts General Hospital, Charlestown, MA, USA.
Ellen T RocheHealth Sciences and Technology Program, Harvard - Massachusetts Institute of Technology, Cambridge, MA, USA. etr@mit.edu.ORCID http://orcid.org/0000-0002-8952-2993
Christopher T NguyenHealth Sciences and Technology Program, Harvard - Massachusetts Institute of Technology, Cambridge, MA, USA. nguyenc6@ccf.org.ORCID http://orcid.org/0000-0003-1475-2329

Funding

Serial evaluation of cardioprotective effects of exercise training in heart failure using cardiac diffusion tensor MRIR01HL151704 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI NGUYEN, CHRISTOPHER T · 2020 to 2024
$3.4M
Microstructural Response of the Myocardium to Mechanical LoadR01HL159010 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI MEKKAOUI, CHOUKRI, NGUYEN, CHRISTOPHER T · 2021 to 2024
$3.2M
Stress-rest calf muscle perfusion: a functional diagnostic test for peripheral arterial disease (PAD)R01HL135242 · NHLBI · UNIVERSITY OF UTAH · PI NATARAJAN, PRADEEP · 2017 to 2020
$2.8M
NHLBI NIH HHS R01 HL135242NHLBI NIH HHS R01 HL151704NHLBI NIH HHS R01 HL159010
6 · The paper itself

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.

Indexed as

Aortic Valve StenosisRoboticsAnimalsBiomechanical PhenomenaHemodynamicsSwineVentricular Pressure

Identifiers

PMID36163494
PMCPMC9588718

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.