Selected Grantee Publications
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- Cardiovascular
- Microscopy
The Splicing Factor hnRNPL Demonstrates Conserved Myocardial Regulation Across Species and Is Altered in Heart Failure
Draper et al., FEBS Letters. 2024.
https://pubmed.ncbi.nlm.nih.gov/39300280/
The 5-year mortality rate of heart failure (HF) is approximately 50%. Gene splicing, induced by splice factors, is a post-transcriptional modification of mRNA that may regulate pathological remodeling in HF. Researchers investigated the role of the splice factor heterogenous nuclear ribonucleoprotein-L (hnRNPL) in cardiomyopathy. hnRNPL protein expression is significantly increased in a male C57BL/6 transaortic constriction–induced HF mouse model and in clinical samples derived from canine or human HF patients. Cardiac-restricted knockdown of the hnRNPL homolog in Drosophila revealed systolic dysfunction and reduced life span. This study demonstrates a conserved cross-species role of hnRNPL in regulating heart function. Supported by ORIP (K01OD028205) and NHLBI.
Identifying Mitigating Strategies for Endothelial Cell Dysfunction and Hypertension in Response to VEGF Receptor Inhibitors
Camarda et al., Clinical Science. 2024.
https://pubmed.ncbi.nlm.nih.gov/39282930/
Vascular endothelial growth factor receptor inhibitor (VEGFRi) use can improve survival in patients with advanced solid tumors, but outcomes can worsen because of VEGFRi-induced hypertension, which can increase the risk of cardiovascular mortality. The underlying pathological mechanism is attributed to endothelial cell (EC) dysfunction. The researchers performed phosphoproteomic profiling on human ECs and identified α-adrenergic blockers, specifically doxazosin, as candidates to oppose the VEGFRi proteomic signature and inhibit EC dysfunction. In vitro testing of doxazosin with mouse, canine, and human aortic ECs demonstrated EC-protective effects. In a male C57BL/6J mouse model with VEGFRi-induced hypertension, it was demonstrated that doxazosin prevents EC dysfunction without decreasing blood pressure. In canine cancer patients, both doxazosin and lisinopril improve VEGFRi-induced hypertension. This study demonstrates the use of phosphoproteomic screening to identify EC-protective agents to mitigate cardio-oncology side effects. Supported by ORIP (K01OD028205), NCI, NHGRI, and NIGMS.
Effects of Early Daily Alcohol Exposure on Placental Function and Fetal Growth in a Rhesus Macaque Model
Lo et al., American Journal of Obstetrics and Gynecology. 2021.
https://www.sciencedirect.com/science/article/pii/S0002937821008309?via%3Dihub=
In a rhesus macaque model for chronic prenatal alcohol exposure, daily consumption during early pregnancy significantly diminished placental perfusion at mid to late gestation and significantly decreased the oxygen supply to the fetal vasculature throughout pregnancy. These findings were associated with the presence of microscopic placental infarctions. Although placental adaptations may compensate for early environmental perturbations to fetal growth, placental blood flow and oxygenation were reduced, consistent with the evidence of placental ischemic injury that persisted throughout pregnancy. Supported by ORIP (P51OD011092), NICHD, and NIAAA.
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)