Evidence map›Paper›PMID 38147684›Full record

ArticleACS nano2024

Noninvasive Quantification of Contractile Dynamics in Cardiac Cells, Spheroids, and Organs-on-a-Chip Using High-Frequency Ultrasound.

Eric M Strohm, Neal I Callaghan, Yu Ding, Neda Latifi, Naimeh Rafatian, Shunsuke Funakoshi, Ian Fernandes, Cristine J Reitz, Michelle Di Paola, Anthony O Gramolini and 4 more

Open access · greenAbstract read
In one paragraph

Article in ACS nano, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.5field-weighted citation impact, top 10% of its field
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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
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

14 authors at 4 institutions in 1 country.

Eric M StrohmDepartment of Mechanical and Industrial Engineering, University of Toronto, Toronto, M5S 3G8, Canada.
Neal I CallaghanTranslational Biology and Engineering Program, Ted Rogers Center for Heart Research, Toronto, M5G 1M1, Canada.
Yu DingTranslational Biology and Engineering Program, Ted Rogers Center for Heart Research, Toronto, M5G 1M1, Canada.
Neda LatifiDepartment of Mechanical and Industrial Engineering, University of Toronto, Toronto, M5S 3G8, Canada.
Naimeh RafatianToronto General Hospital Research Institute, Toronto, M5G 2C4, Canada.
Shunsuke FunakoshiMcEwen Stem Cell Institute, University Health Network, Toronto, M5G 1L7, Canada.
Ian FernandesMcEwen Stem Cell Institute, University Health Network, Toronto, M5G 1L7, Canada.
Cristine J ReitzTranslational Biology and Engineering Program, Ted Rogers Center for Heart Research, Toronto, M5G 1M1, Canada.ORCID 0000-0002-1748-0501
Michelle Di PaolaTranslational Biology and Engineering Program, Ted Rogers Center for Heart Research, Toronto, M5G 1M1, Canada.
Anthony O GramoliniTranslational Biology and Engineering Program, Ted Rogers Center for Heart Research, Toronto, M5G 1M1, Canada.ORCID 0000-0003-1109-2070
Milica RadisicInstitute of Biomedical Engineering, University of Toronto, Toronto, M5S 3G9, Canada.ORCID 0000-0003-1249-4135
Gordon KellerMcEwen Stem Cell Institute, University Health Network, Toronto, M5G 1L7, Canada.
Michael C KoliosDepartment of Physics, Toronto Metropolitan University, Toronto, M5B 2K3, Canada.ORCID 0000-0002-9994-8293
Craig A SimmonsDepartment of Mechanical and Industrial Engineering, University of Toronto, Toronto, M5S 3G8, Canada.
University of Toronto · CAUniversity Health Network · CAToronto General Hospital · CAToronto Metropolitan University · CA

Funding

Engineering Vascularized Cardiac MuscleR01HL076485 · NHLBI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI Gordana Vunjak-Novakovic · 2005 to 2026
$9.2M
NHLBI NIH HHS R01 HL076485
6 · The paper itself

Abstract

Cell-based models that mimic in vivo heart physiology are poised to make significant advances in cardiac disease modeling and drug discovery. In these systems, cardiomyocyte (CM) contractility is an important functional metric, but current measurement methods are inaccurate and low-throughput or require complex setups. To address this need, we developed a standalone noninvasive, label-free ultrasound technique operating at 40-200 MHz to measure the contractile kinetics of cardiac models, ranging from single adult CMs to 3D microtissue constructs in standard cell culture formats. The high temporal resolution of 1000 fps resolved the beat profile of single mouse CMs paced at up to 9 Hz, revealing limitations of lower speed optical based measurements to resolve beat kinetics or characterize aberrant beats. Coupling of ultrasound with traction force microscopy enabled the measurement of the CM longitudinal modulus and facile estimation of adult mouse CM contractile forces of 2.34 ± 1.40 μN, comparable to more complex measurement techniques. Similarly, the beat rate, rhythm, and drug responses of CM spheroid and microtissue models were measured, including in configurations without optical access. In conclusion, ultrasound can be used for the rapid characterization of CM contractile function in a wide range of commonly studied configurations ranging from single cells to 3D tissue constructs using standard well plates and custom microdevices, with applications in cardiac drug discovery and cardiotoxicity evaluation.

Indexed as

Induced Pluripotent Stem CellsAnimalsCells, CulturedDrug DiscoveryLab-On-A-Chip DevicesMiceMyocytes, Cardiaccardiomyocytescontractilityhigh-frequency ultrasoundorganoidsultrasound imaging

Identifiers

PMID38147684
PMCPMC12321359
OpenAlexW4390222451

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.