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Animal Models

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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)