Felipe Takaesu

The Fontan EV Score: A Circulating Extracellular Vesicle-Based Risk Stratification Tool for Fontan-Associated Liver Disease

This paper develops the Fontan EV Score, a non-invasive biomarker using circulating extracellular vesicles to predict Fontan-associated liver disease severity, outperforming existing serological indices.

Serum Proteomic Profiling Implicates a Dysregulated Neurohormonal-Inflammatory Axis in Post-Fontan Tachycardia

This study uses serum proteomics and machine learning to identify a seven-protein panel predictive of post-Fontan tachycardia, implicating a dysregulated neurohormonal-inflammatory axis.

Machine Learning Identifies Distinct Treg-Mediated Remodeling in HFpEF Hearts Treated with Neonatal Mesenchymal Stem Cells and Their Secretome

This study uses machine learning to identify Treg-mediated mechanisms by which nMSCs and their secretome improve diastolic function in HFpEF.

A Cross-scale Causal Mapping Framework Pinpoints Macrophage Orchestrators of Balanced Arterial Development

This study introduces CausaLink, a cross-scale causal mapping framework that identifies Mgl2 macrophages as key regulators of balanced arterial development using single-cell transcriptomics and organoid validation.

Lgr5+ intestinal stem cells are required for organoid survival after genotoxic injury

This study shows that Lgr5+ intestinal stem cells are necessary for organoid survival after genotoxic injury, despite fISC gene activation occurring at both low and high doses of doxorubicin.

High-Throughput Screening for Myelination Promoting Compounds Using Human Stem Cell-derived Oligodendrocyte Progenitor Cells Identifies Novel Targets

The paper identifies novel pathways that enhance oligodendrocyte maturation and myelination through high-throughput screening of 2500 compounds using engineered human stem cell-derived OPCs.