Back to Search Start Over

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

Authors :
Strohm EM
Callaghan NI
Ding Y
Latifi N
Rafatian N
Funakoshi S
Fernandes I
Reitz CJ
Di Paola M
Gramolini AO
Radisic M
Keller G
Kolios MC
Simmons CA
Source :
ACS nano [ACS Nano] 2024 Jan 09; Vol. 18 (1), pp. 314-327. Date of Electronic Publication: 2023 Dec 26.
Publication Year :
2024

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.

Details

Language :
English
ISSN :
1936-086X
Volume :
18
Issue :
1
Database :
MEDLINE
Journal :
ACS nano
Publication Type :
Academic Journal
Accession number :
38147684
Full Text :
https://doi.org/10.1021/acsnano.3c06325