bioRxiv Science⌕ Search
Home/Archive/bioRxiv

bioRxiv · 10.1101/2023.03.13.528447

FRESH™ 3D bioprinted cardiac tissue, a bioengineered platform for in-vitro toxicology and pharmacology

Finkel, S.·Sweet, S.·Locke, T.·Smith, S.·Wang, Z.·Sandini, C.·Imredy, J.·He, Y.·Durante, M.·Lagrutta, A.·Feinberg, A.·Lee, A.
View original source ↗Export metadata ↓

Abstract

There is critical need for a predictive model of human cardiac physiology in the drug development process for assessment of compound toxicology and pharmacology. In vitro two-dimensional monolayer culture of cardiomyocytes provides biochemical and cellular readouts, and in vivo small and large animal models provide information on systemic cardiovascular response. However, there remains a significant gap in these models due to an incomplete recapitulation of adult human cardiovascular physiology, which results in more difficult safety interpretations. Recent efforts in developing in vitro models from engineered heart tissues have demonstrated potential for bridging this gap using human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CM) in a three-dimensional tissue structure. Here we advance this paradigm by implementing FRESH 3D bioprinting to build human cardiac tissues in a medium throughput, well-plate format with controlled tissue architecture, tailored cellular composition, and native-like physiological function, specifically in its adrenergic agonist drug response. To do this, we combined hiPSC-CMs, endothelial cells and fibroblasts in a cellular bioink and FRESH 3D bioprinted this mixture in the format of a thin tissue strip stabilized on a tissue fixture. Our results confirmed that FRESH 3D bioprinted cardiac tissues could be fabricated directly in a 24-well plate format, were composed of dense and highly aligned hiPSC-CMs at >600 million cells/mL, and within 14 days demonstrated reproducible calcium transients and fast conduction velocity of [~]25 cm/s. Interrogation of these cardiac tissues with the {beta}-adrenergic receptor agonist isoproterenol showed native-like positive chronotropic and inotropic responses, a combination of responses that is not typically observed in 2D monolayer models or standard 3D engineered heart tissue approaches. These results confirm that FRESH 3D bioprinted cardiac tissues represents a novel in vitro platform that enables early in vitro pharmacology and toxicology screening.

Explore related subjects

bioengineeringPreprint

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Finkel, S., Sweet, S., Locke, T., Smith, S., Wang, Z., Sandini, C., Imredy, J., He, Y., Durante, M., Lagrutta, A., Feinberg, A., Lee, A.. 2023-03-15. FRESH™ 3D bioprinted cardiac tissue, a bioengineered platform for in-vitro toxicology and pharmacology. https://doi.org/10.1101/2023.03.13.528447

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

bioRxiv2026

Synergy-informed bilevel optimization reveals joint-specific benefits for realistic exoskeleton torque prediction

Simulation-driven optimization can guide exoskeleton control design, but its utility is limited by the accuracy with which muscle coordination is predicted. Strict effort-minimization formulations predict non-physiological muscle shutdown under high exoskeleton assistance, leading to peak assistive torques that exceed values reported in human-in-the-loop experiments. We evaluated the accuracy of synergy-informed simulations at predicting assistance across four single-joint exoskeleton configurations: ankle plantarflexion, knee extension, hip flexion, and hip abduction. We implemented a bilevel optimization to predict a parameterized assistive torque that minimizes metabolic cost, with assisted muscle dynamics estimated via either effort-minimization simulations (minimizing muscle effort only) or synergy-informed simulations (minimizing muscle effort constrained to a synergy structure). We used experimental data from five unimpaired adults walking at their preferred speed and compared results descriptively between the two formulations within each subject. Assistance based on effort-minimization simulations shut down agonist muscle activations and overestimated peak assistive torque compared with experimental values. In contrast, constraining muscle controls to a synergy structure prevented non-physiological muscle shutdown and yielded assistive torques closer to those measured in human-in-the-loop experiments. This benefit was not observed equally across all assisted degrees of freedom or subjects, emerging only where no single synergy could be suppressed to unload the assisted muscles. Synergy weights can therefore be interpreted as joint-specific predictors of when simulations can reliably inform wearable robot design.

bioengineering↗
bioRxiv2026

Engineered microvessel networks -- Longitudinal transcriptomic profiling validates chip-grown tissues as a robust model for studying vasculature

Vascularised Organ-on-Chip (OoC) models are promising New Approach Methodologies (NAMs), but their translation requires validation for defined Contexts of Use (CoU). Here, we combine microfluidic microvessel networks (MVNs) with longitudinal bulk and single-cell RNA sequencing to determine how cell provenance influences engineered vascular phenotype. Stromal cell identity produced distinct network architectures and transcriptional trajectories, demonstrating that support cells, commonly treated as interchangeable, represent an important CoU variable. Primary human pancreatic microvascular endothelial cells failed to form stable perfusable networks, but supplementation with 10% Human Umbilical Vein Endothelial Cells (HUVECs) or Blood Outgrowth Endothelial Cells (BOECs) rescued self-assembly. Single-cell transcriptomics identified specialised endothelial populations associated with vascular morphogenesis, including tip, stalk, phalanx, endothelial to mesenchymal transition (EndMT) and pericyte-like endothelial cells. Failed networks lacked coherent endothelial specialisation, whereas rescued networks restored stabilising cell states and revealed FLRT2--UNC5B signalling within pericyte-like HUVECs, recapitulating a pathway implicated in angiogenic development in vivo. These findings establish cell provenance as a critical determinant of microvascular NAM performance and demonstrate how transcriptomic validation can define and strengthen the biological relevance of microvessel-on-chip models for specific CoUs.

bioengineering↗
bioRxiv2026

Benchmarking foundation models for resting-state functional magnetic resonance imaging time series in cognitive aging research

Foundation models trained on large neuroimaging datasets could help smaller studies investigate cognition from brain recordings. However, whether the foundation model-derived representations improve assessment of current cognition, prediction of follow-up cognition, or characterization of cognitive change remains unclear. We evaluated nine configurations from five model families that process regional resting-state functional magnetic resonance imaging time series, using 3,103 scans from 1,653 participants across two observational and five intervention aging cohorts. Primary frozen representations showed no consistent superiority over conventional functional connectivity for concurrent cognitive associations or diagnostic classification. Changing the readout improved selected concurrent cognitive associations without updating model weights, indicating that performance depended partly on how representations were extracted. Additional post-training and embedding alignment yielded gains in selected settings but did not consistently improve performance across outcomes. In the primary longitudinal analyses, imaging representations did not establish added value beyond baseline clinical measures. These findings show that readout choice influences concurrent cognitive associations, while the added value of these representations for longitudinal outcomes remains unestablished.

bioengineering↗