Publications by authors named "Alexander J Winkle"
Introduction: Cardiac hypertrophy is associated with adverse outcomes across cardiovascular disease states. Despite strides over the last three decades in identifying molecular and cellular mechanisms driving hypertrophy, the link between pathophysiological stress stimuli and specific myocyte/heart growth profiles remains unclear. Moreover, the optimal strategy for preventing pathology in the setting of hypertrophy remains controversial.
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- The voltage-gated Na channel Na1.5 plays a vital role in heart cell excitability, and mathematical models help study its function and link to heart rhythm disorders.
- Researchers used Bayesian statistics to account for the variability in human Na1.5 measurements across different labs, leading to a refined model that considers physiological differences.
- The new model was validated against experimental data and aims to expand to other cardiac ion channels, which could enhance understanding of heart function variability and its implications for drug responses and inherited arrhythmias.
Image processing and quantification is a routine and important task across disciplines in biomedical research. Understanding the effects of disease on the tissue and organ level often requires the use of images, however the process of interpreting those images into data which can be tested for significance is often time intensive, tedious and prone to inaccuracy or bias. When working within resource constraints, these different issues often present a trade-off between time invested in analysis and accuracy.
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