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Sunitinib Inhibits STAT3 Phosphorylation in Cardiac Muscle and Prevents Cardiomyopathy in the mdx Mouse Model of Duchenne Muscular Dystrophy

Oliveira-Santos et al., Human Molecular Genetics. 2022.

https://www.doi.org/10.1093/hmg/ddac042

Duchenne muscular dystrophy (DMD) is the most common form of muscular dystrophy, affecting about 1 in 5,000 boys worldwide. DMD is a fatal X-linked genetic disorder that results from mutations in the dystrophin gene and leads to progressive muscular degeneration. Individuals with DMD often die at a young age from respiratory or heart failure. To date, few studies have examined the basis of cardiac failure associated with DMD, and no effective U.S. Food and Drug Administration (FDA)–approved treatment options are available. Using a mouse model of both sexes, researchers characterized the effectiveness of sunitinib, an FDA-approved small-molecule drug, in preventing DMD-related cardiomyopathy. The treatment reduced STAT3 activation in cardiac muscle and prevented cardiomyopathy disease progression. Inhibition of STAT3 activation in cardiac muscle can reduce inflammation and fibrosis and prevent heart failure. These findings demonstrate sunitinib’s potential as a novel treatment option for skeletal and cardiac muscle dysfunction in patients with DMD. Supported by ORIP (R42OD030543).

Collective Behavior Emerges from Genetically Controlled Simple Behavioral Motifs in Zebrafish

Harpaz et al., Science Advances. 2021.

https://www.science.org/doi/10.1126/sciadv.abi7460

Harpaz et al. report that zebrafish regulate their proximity and alignment with each other at early larval stages. Two visual responses (one measuring relative visual field occupancy and one accounting for global visual motion), account for emerging group behavior. Mutations in genes known to affect social behavior in humans perturb these reflexes in individual larval zebrafish and change their emergent collective behaviors. Model simulations show that changes in these two responses in individual mutant animals predict well the distinctive collective patterns that emerge in a group. Hence, group behaviors reflect in part genetically defined primitive sensorimotor “motifs” evident in young larvae. Supported by ORIP (R43OD024879, R44OD024879) and NINDS.

Deep Learning-Based Framework for Cardiac Function Assessment in Embryonic Zebrafish from Heart Beating Videos

Naderi et al., Computers in Biology and Medicine. 2021.

https://www.sciencedirect.com/science/article/pii/S0010482521003590

Zebrafish is a powerful model system for a host of biological investigations, cardiovascular studies, and genetic screening. However, the current methods for quantifying and monitoring zebrafish cardiac functions involve tedious manual work and inconsistent estimations. Naderi et al. developed a Zebrafish Automatic Cardiovascular Assessment Framework (ZACAF) based on a U-net deep learning model for automated assessment of cardiovascular indices, such as ejection fraction (EF) and fractional shortening (FS) from microscopic videos of wildtype and cardiomyopathy mutant zebrafish embryos. The framework could be widely applicable with any laboratory resources, and the automatic feature holds promise to enable efficient, consistent, and reliable processing and analysis capacity. Supported by ORIP (R44OD024874)