@article{bartolo_qureshi_colebank_chesler_olufsen_2022, title={Numerical predictions of shear stress and cyclic stretch in pulmonary hypertension due to left heart failure}, volume={1}, ISSN={["1617-7940"]}, url={https://doi.org/10.1007/s10237-021-01538-1}, DOI={10.1007/s10237-021-01538-1}, abstractNote={Isolated post-capillary pulmonary hypertension (Ipc-PH) occurs due to left heart failure, which contributes to 1 out of every 9 deaths in the United States. In some patients, through unknown mechanisms, Ipc-PH transitions to combined pre-/post-capillary PH (Cpc-PH) and is associated with a dramatic increase in mortality. Altered mechanical forces and subsequent biological signaling in the pulmonary vascular bed likely contribute to the transition from Ipc-PH to Cpc-PH. However, even in a healthy pulmonary circulation, the mechanical forces in the smallest vessels (the arterioles, capillary bed, and venules) have not been quantitatively defined. This study is the first to examine this question via a computational fluid dynamics model of the human pulmonary arteries, arterioles, venules, and veins. Using this model, we predict temporal and spatial dynamics of cyclic stretch and wall shear stress with healthy and diseased hemodynamics. In the normotensive case for large vessels, numerical simulations show that large arteries have higher pressure and flow than large veins, as well as more pronounced changes in area throughout the cardiac cycle. In the microvasculature, shear stress increases and cyclic stretch decreases as vessel radius decreases. When we impose an increase in left atrial pressure to simulate Ipc-PH, shear stress decreases and cyclic stretch increases as compared to the healthy case. Overall, this model predicts pressure, flow, shear stress, and cyclic stretch that providing a way to analyze and investigate hypotheses related to disease progression in the pulmonary circulation.}, journal={BIOMECHANICS AND MODELING IN MECHANOBIOLOGY}, author={Bartolo, Michelle A. and Qureshi, M. Umar and Colebank, Mitchel J. and Chesler, Naomi C. and Olufsen, Mette S.}, year={2022}, month={Jan} }