Vascularizing Organoids to Promote Long-Term Organogenesis on a Chip

Abstract

Organoids have emerged as a powerful tool for studying organ development, disease modeling, and drug discovery due to their ability to mimic the in vivo structure and function of organs in a three-dimensional in vitro model. During in vivo organ maturation, the process of vascularization is crucial for the provision of nutrients and oxygen to cells and the removal of waste products as the organ increases in size. Similarly, organoids can grow to sizes greater than the millimeter scale, yet transport of oxygen and nutrients to the center becomes increasingly difficult, often resulting in the formation of a necrotic core. Herein, we provide a concise summary of the recent development of methods to initiate and maintain vascularization of organoids. Broadly, vascularization of organoids has been achieved primarily by two means: generating organoids that contain endothelial cells or employing the secretion of vascular growth factors to promote vascularization. Growth factors play a fundamental role in regulating blood vessel formation through chemical signals that cause changes in the cell–cell adhesions and ultimately the migration of endothelial cells. Furthermore, models with perfusable systems demonstrate that through the application of growth factors and cells, the vascular network in vascularization-based organoids can administer biological substances to the interior of the organoid, opening up new possibilities for long-term organoid culture in vitro. This goal is being realized through the development of bioengineering tools, such as vascularized organoids on a chip, which are currently tested for various organ systems, including the lung, brain, kidney, and tumors, with applications in cancer angiogenesis and metastasis research. Taken together, our review underlines the vast potential of vascularized organoids to improve the understanding of organ development, while also proposing exciting avenues of organoid-on-a-chip and disease modeling.