Rauff Adam, Manning Jason C, Hoying James B, LaBelle Steven A, Strobel Hannah A, Stoddard Gregory J, Weiss Jeffrey A
Department of Biomedical Engineering, University of Utah, 36 S. Wasatch Drive, Rm. 3100, Salt Lake City, UT, USA.
Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT, USA.
Ann Biomed Eng. 2023 Aug;51(8):1835-1846. doi: 10.1007/s10439-023-03202-4. Epub 2023 May 6.
The formation of new vascular networks via angiogenesis is a crucial biological mechanism to balance tissue metabolic needs, yet the coordination of factors that influence the guidance of growing neovessels remain unclear. This study investigated the influence of extracellular cues within the immediate environment of sprouting tips over multiple hours and obtained quantitative relationships describing their effects on the growth trajectories of angiogenic neovessels. Three distinct microenvironmental cues-fibril tracks, ECM density, and the presence of nearby cell bodies-were extracted from 3D time series image data. The prominence of each cue was quantified along potential sprout trajectories to predict the response to multiple microenvironmental factors simultaneously. Sprout trajectories significantly correlated with the identified microenvironmental cues. Specifically, ECM density and nearby cellular bodies were the strongest predictors of the trajectories taken by neovessels (p < 0.001 and p = 0.016). Notwithstanding, direction changing trajectories, deviating from the initial neovessel orientation, were significantly correlated with fibril tracks (p = 0.003). Direction changes also occurred more frequently with strong microenvironmental cues. This provides evidence for the first time that local matrix fibril alignment influences changes in sprout trajectories but does not materially contribute to persistent sprouting. Together, our results suggest the microenvironmental cues significantly contribute to guidance of sprouting trajectories. Further, the presented methods quantitatively distinguish the influence of individual microenvironmental stimuli during guidance.
通过血管生成形成新的血管网络是平衡组织代谢需求的关键生物学机制,但影响新生血管生长导向的各种因素之间的协调作用仍不清楚。本研究在数小时内研究了新生血管尖端紧邻环境中的细胞外信号的影响,并获得了描述它们对血管生成新生血管生长轨迹影响的定量关系。从三维时间序列图像数据中提取了三种不同的微环境信号——纤维轨迹、细胞外基质密度和附近细胞体的存在。沿着潜在的新生血管轨迹对每个信号的显著程度进行量化,以同时预测对多种微环境因素的反应。新生血管轨迹与识别出的微环境信号显著相关。具体而言,细胞外基质密度和附近的细胞体是新生血管所采取轨迹的最强预测因子(p < 0.001和p = 0.016)。尽管如此,偏离初始新生血管方向的方向改变轨迹与纤维轨迹显著相关(p = 0.003)。在强烈的微环境信号作用下,方向改变也更频繁地发生。这首次为局部基质纤维排列影响新生血管轨迹变化但对持续新生血管形成没有实质性贡献提供了证据。总之,我们的结果表明微环境信号对新生血管轨迹的导向有显著贡献。此外,所提出的方法定量区分了导向过程中单个微环境刺激的影响。