Experimental and Mouse-Specific Computational Models of the Fbln4SMKO Mouse to Identify Potential Biomarkers for Ascending Thoracic Aortic Aneurysm

被引:7
作者
Bazzi, Marisa S. [1 ]
Balouchzadeh, Ramin [2 ]
Pavey, Shawn N. [2 ]
Quirk, James D. [3 ]
Yanagisawa, Hiromi [4 ]
Vedula, Vijay [5 ]
Wagenseil, Jessica E. [2 ]
Barocas, Victor H. [6 ]
机构
[1] Univ Minnesota, Dept Chem Engn & Mat Sci, Minneapolis, MN 55455 USA
[2] Washington Univ, Dept Mech Engn & Mat Sci, St Louis, MO 63110 USA
[3] Washington Univ, Mallinckrodt Inst Radiol, Sch Med, St Louis, MO 63110 USA
[4] Univ Tsukuba, Life Sci Ctr Survival Dynam, Tsukuba Adv Res Alliance, Tsukuba, Ibaraki, Japan
[5] Columbia Univ, Dept Mech Engn, New York, NY 10027 USA
[6] Univ Minnesota, Dept Biomed Engn, Minneapolis, MN 55455 USA
基金
美国国家卫生研究院;
关键词
Aneurysm; Fluid-structure interaction; Biomechanics; Biomarker; PULSE-WAVE VELOCITY; THROMBUS DEPOSITION; HEMODYNAMICS; FIBULIN-4; TORTUOSITY; SIMULATION; PHENOTYPE; DIAMETER; CELLS; INDEX;
D O I
10.1007/s13239-021-00600-4
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Purpose To use computational methods to explore geometric, mechanical, and fluidic biomarkers that could correlate with mouse lifespan in the Fbln4(SMKO) mouse. Mouse lifespan was used as a surrogate for risk of a severe cardiovascular event in cases of ascending thoracic aortic aneurysm. Methods Image-based, mouse-specific fluid-structure-interaction models were developed for Fbln4(SMKO) mice (n = 10) at ages two and six months. The results of the simulations were used to quantify potential biofluidic biomarkers, complementing the geometrical biomarkers obtained directly from the images. Results Comparing the different geometrical and biofluidic biomarkers to the mouse lifespan, it was found that mean oscillatory shear index (OSImin) and minimum time-averaged wall shear stress (TAWSS(min)) at six months showed the largest correlation with lifespan (r(2) = 0.70, 0.56), with both correlations being positive (i.e., mice with high OSImean and high TAWSS(min) tended to live longer). When change between two and six months was considered, the change in TAWSS(min) showed a much stronger correlation than OSImean (r(2) = 0.75 vs. 0.24), and the correlation was negative (i.e., mice with increasing TAWSS(min) over this period tended to live less long). Conclusion The results highlight potential biomarkers of ATAA outcomes that can be obtained through noninvasive imaging and computational simulations, and they illustrate the potential synergy between small-animal and computational models.
引用
收藏
页码:558 / 572
页数:15
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