Key result
High-throughput screening of human cardiac fibroblasts identifies 3 new classes of candidate anti-fibrotics.
Why the study?
Effective pharmacological interventions for cardiac fibrosis remain lacking due to poor translational relevance and limited clinical success.
A novel high-throughput screening platform using human cardiac fibroblasts successfully identified three new classes of candidate anti-fibrotic molecules for potential heart failure therapy.
Accelerates anti-fibrotic candidate discovery; leaves open translation to clinical heart failure therapy.
Myocardial fibrosis, a hallmark of heart failure (HF), contributes to disease progression and mortality by impairing cardiac function. Despite the identification of potential anti-fibrotic molecules, there is a lack of effective pharmacological interventions for cardiac fibrosis due to poor translational relevance and limited clinical success. In vitro culture models using human cardiac fibroblasts (hCF) provide a cost-effective and scalable approach for high-throughput drug screening, particularly when coupled with artificial intelligence (AI)-assisted imaging technologies. In this study, we developed a novel high-throughput 2D screening platform to identify new anti-fibrotic compounds targeting hCF. Using this approach, we have successfully identified novel molecules with potential anti-fibrotic activity, offering new therapeutic avenues for cardiac fibrosis and other fibrotic disorders. • Cardiac fibrosis is a major contributor to heart failure progression. • Effective treatments for cardiac fibrosis remain limited. • A new high-throughput screening platform for fibroblast activation was developed. • Three classes of new candidate anti-fibrotics were uncovered.
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Gomes et al. (2025) studied Cardiac fibrosis. Novel anti-fibrotic compounds was evaluated on Identification of new candidate anti-fibrotics. A novel high-throughput 2D screening platform using human cardiac fibroblasts successfully uncovered three classes of new candidate anti-fibrotics.
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