Key result
3D cellular models outperform standard 2D cultures in modeling cardiac fibrosis for drug discovery.
Why the study?
Although three-dimensional cellular models of cardiac fibrosis can reveal therapeutic responses undetected in two-dimensional setups, their predictive value has been confirmed in vivo for only a limited number of platforms and compounds, requiring benchmarks and standards for routine use in antifibrotic drug discovery.
This review evaluates the complexity, biological fidelity, and predictive value of 3D cellular models in bridging the gap between 2D in vitro setups and animal studies for antifibrotic drug discovery in cardiac repair.
3D fibrosis models may refine preclinical insights; leaves open clinical translation pending human validation.
Cardiac fibrosis is a complex and dynamic pathological process, central for cardiac repair, characterised by continuous cell–cell and cell–matrix interactions. Three-dimensional (3D) models are gaining increasing relevance, compared with traditional two-dimensional (2D) cellular setups, due to their ability to recapitulate key features of the fibrotic microenvironment at different levels of complexity, including cellular heterogeneity, spatial organisation and tissue mechanical properties. These systems have enabled a deeper investigation of fibrosis mechanobiology and the mechanosensitive pathways involved in disease progression, contributing to the identification of potential therapeutic targets for cardiac repair. Increasing biological complexity can reveal therapeutic responses that remain undetected in conventional models; however, the predictive value of 3D systems has so far been confirmed in vivo only for a limited number of platforms and compounds. The role of 3D models is therefore expanding beyond disease modelling towards platforms for the screening and evaluation of antifibrotic strategies, pointing to increasingly functional cardiac reparative strategies. Here, we distinguish model complexity, biological fidelity and demonstrated predictive value, compare current platforms according to their validation level and limitations, and discuss the benchmarks and standards required for their routine use in antifibrotic drug discovery. From this perspective, the development of systems that are not necessarily more sophisticated, but progressively more informative and predictive, may help bridge the gap between conventional 2D in vitro models and animal studies, ultimately improving the translational relevance of preclinical evaluation.
No takes yet. Share an insight, caveat, or question.
Icolaro et al. (2026) conducted a review in Cardiac fibrosis. Three-dimensional (3D) cellular models vs. Traditional two-dimensional (2D) cellular setups and animal studies was evaluated on Predictive value and translational relevance in antifibrotic drug discovery. Three-dimensional (3D) cellular models recapitulate the cardiac fibrotic microenvironment better than 2D setups to bridge the gap to animal studies in antifibrotic drug discovery.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: