Evidence map›Paper›PMID 39183977›Full record

ArticleNature cardiovascular research2023

Robotic right ventricle is a biohybrid platform that simulates right ventricular function in (patho)physiological conditions and intervention.

Manisha Singh, Jean Bonnemain, Caglar Ozturk, Brian Ayers, Mossab Y Saeed, Diego Quevedo-Moreno, Meagan Rowlett, Clara Park, Yiling Fan, Christopher T Nguyen and 1 more

Abstract read
In one paragraph

Article in Nature cardiovascular research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. A Soft Robotic Model for Simulating Heart Valve Disease and Cardiac Interventions.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  5. Soft robotic devices for cardiovascular medicine.Nature reviews. Cardiology · 2026
    Review
  6. Article
  7. Article
  8. Article
  9. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Manisha SinghInstitute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA.
Jean BonnemainInstitute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID 0000-0001-7573-4306
Caglar OzturkInstitute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID 0000-0002-3688-0148
Brian AyersDepartment of Surgery, Massachusetts General Hospital, Boston, MA, USA.
Mossab Y SaeedDepartment of Cardiac Surgery, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.ORCID 0000-0002-4906-8837
Diego Quevedo-MorenoDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Meagan RowlettDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID 0009-0006-8987-2201
Clara ParkInstitute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA.
Yiling FanInstitute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA.
Christopher T NguyenAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA.ORCID 0000-0003-1475-2329
Ellen T RocheInstitute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID 0000-0002-8952-2993

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
Modeling, measurement and prediction of cardiac magneto-stimulation thresholdsR01EB033853 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI Bastien Guerin, Christopher T Nguyen · 2023 to 2026
$2.4M
NHLBI NIH HHS R01 HL151704NHLBI NIH HHS R01 HL159010NIBIB NIH HHS R01 EB033853
6 · The paper itself

Abstract

The increasing recognition of the right ventricle (RV) necessitates the development of RV-focused interventions, devices and testbeds. In this study, we developed a soft robotic model of the right heart that accurately mimics RV biomechanics and hemodynamics, including free wall, septal and valve motion. This model uses a biohybrid approach, combining a chemically treated endocardial scaffold with a soft robotic synthetic myocardium. When connected to a circulatory flow loop, the robotic right ventricle (RRV) replicates real-time hemodynamic changes in healthy and pathological conditions, including volume overload, RV systolic failure and pressure overload. The RRV also mimics clinical markers of RV dysfunction and is validated using an in vivo porcine model. Additionally, the RRV recreates chordae tension, simulating papillary muscle motion, and shows the potential for tricuspid valve repair and replacement in vitro. This work aims to provide a platform for developing tools for research and treatment for RV pathophysiology.

Indexed as

Heart VentriclesVentricular Dysfunction, RightVentricular Function, RightAnimalsBiomechanical PhenomenaHemodynamicsHumansModels, CardiovascularRoboticsSus scrofaSwineTricuspid Valve

Identifiers

PMID39183977
PMCPMC11343235

What OpenQuestion holds

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LicenceCC BY
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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.