Human in vitro 3D co-culture model to engineer vascularized bone-mimicking tissues combining computational tools and statistical experimental approach

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• 作者：Simone Bersini^a ; Mara Gilardi^a ; ^b ; Chiara Arrigoni^c ; Giuseppe Talò ; ^c ; Moreno Zamai^d ; Luigi Zagra^e ; Valeria Caiolfa^d ; Matteo Moretti^a ; ^{matteo.moretti@grupposandonato.it" class="auth_mail" title="E-mail the corresponding author}
• 关键词：Design of experiment ; Microvascular networks ; Bone-mimicking ; Oxygen distribution ; ECM remodeling ; Computational simulation
• 刊名：Biomaterials
• 出版年：2016
• 出版时间：January 2016
• 年：2016
• 卷：76
• 期：Complete
• 页码：157-172
• 全文大小：5042 K

文摘

The generation of functional, vascularized tissues is a key challenge for both tissue engineering applications and the development of advanced in vitro models analyzing interactions among circulating cells, endothelium and organ-specific microenvironments. Since vascularization is a complex process guided by multiple synergic factors, it is critical to analyze the specific role that different experimental parameters play in the generation of physiological tissues. Our goals were to design a novel meso-scale model bridging the gap between microfluidic and macro-scale studies, and high-throughput screen the effects of multiple variables on the vascularization of bone-mimicking tissues. We investigated the influence of endothelial cell (EC) density (3–5 Mcells/ml), cell ratio among ECs, mesenchymal stem cells (MSCs) and osteo-differentiated MSCs (1:1:0, 10:1:0, 10:1:1), culture medium (endothelial, endothelial + angiopoietin-1, 1:1 endothelial/osteo), hydrogel type (100%fibrin, 60%fibrin+40%collagen), tissue geometry (2 × 2 × 2, 2 × 2 × 5 mm³). We optimized the geometry and oxygen gradient inside hydrogels through computational simulations and we analyzed microvascular network features including total network length/area and vascular branch number/length. Particularly, we employed the “Design of Experiment” statistical approach to identify key differences among experimental conditions. We combined the generation of 3D functional tissue units with the fine control over the local microenvironment (e.g. oxygen gradients), and developed an effective strategy to enable the high-throughput screening of multiple experimental parameters. Our approach allowed to identify synergic correlations among critical parameters driving microvascular network development within a bone-mimicking environment and could be translated to any vascularized tissue.