Sweet way to 3D-print blood vesselsIntricate, laser-welded sugar networks dissolve to create pathways for blood in lab-grown tissues
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Powdered sugar is the special ingredient in a Rice University recipe for mimicking the body's intricate, branching blood vessels in lab-grown tissues.
In research published today in the journal Nature Biomedical Engineering, bioengineers showed they could keep densely packed cells alive for two weeks in relatively large constructs by creating complex blood vessel networks from templates of 3D-printed sugar. The Rice researchers were joined on this project by colleagues from the University of Washington School of Medicine and College of Engineering, Baylor University and other institutions.
Watch a video about the research.
"One of the biggest hurdles to engineering clinically relevant tissues is packing a large tissue structure with hundreds of millions of living cells," said study lead author Ian Kinstlinger, a bioengineering graduate student in Rice's Brown School of Engineering. "Delivering enough oxygen and nutrients to all the cells across that large volume of tissue becomes a monumental challenge.”
Kinstlinger explains that nature solved this problem through the evolution of complex vascular networks, which weave through tissues and organs in patterns reminiscent of tree limbs. The vessels simultaneously become smaller in thickness but greater in number as they branch away from a central trunk. This narrowing and branching allows oxygen and nutrients to be efficiently delivered to cells throughout the body.
"By developing new technologies and materials to mimic naturally occurring vascular networks, we're getting closer to the point that we can provide oxygen and nutrients to a sufficient number of cells to get meaningful long-term therapeutic function," Kinstlinger said.
"The 3D-printing process we developed here is like making a very precise creme brulee," said Miller, whose original inspiration for the project was an intricate dessert.
Miller said the complex, detailed structures are made possible by selective laser sintering, a 3D-printing process that fuses minute grains of powder into solid 3D objects. In contrast to more common extrusion 3D printing, where melted strands of material are deposited through a nozzle, laser sintering works by gently melting and fusing small regions in a packed bed of dry powder. Both extrusion and laser sintering build 3D shapes one 2D layer at a time, but the laser method enables the generation of structures which would otherwise be prone to collapse if extruded, he said.
"There are certain architectures -- such as overhanging structures, branched networks and multivascular networks -- which you really can't do well with extrusion printing," said Miller, who demonstrated the concept of sugar templating with a 3D extrusion printer during his postdoctoral studies at the University of Pennsylvania. Miller began work on laser-sintering in 2013.
"Selective laser sintering gives us far more control in all three dimensions, allowing us to easily access complex topologies while still preserving the utility of the sugar material," he said.
Sugar is especially useful in creating blood vessel templates because it's durable when dry, and it rapidly dissolves in water without damaging nearby cells. To make tissues, Kinstlinger uses a special blend of sugars to print templates and then fills the volume around the printed sugar network with a mixture of cells in liquid gel. The gel becomes semisolid within minutes. The sugar is then dissolved and flushed away to leave an open passageway for nutrients and oxygen.
"A major benefit of this approach is the speed at which we can generate each tissue structure," Kinstlinger said. "We can create some of the largest tissue models yet demonstrated in under five minutes."
Miller said the study answers two questions: What sugars can be sintered into coherent structures? What computational algorithms can derive complex, branching architectures that mimic those found in nature?
The computational algorithm that generated the treelike vascular architectures in the study was created in collaboration with Nervous System, a design studio that uses computer simulation to make art, jewelry and housewares inspired by patterns found in nature.
"We're using algorithms inspired by nature to create functional networks for tissues," said Jessica Rosenkrantz, co-founder and creative director of Nervous System and a study co-author. "Because our approach is algorithmic, it's possible to create customized networks for different uses."
After creating tissues patterned with these computationally generated vascular architectures, the team demonstrated the seeding of endothelial cells inside the channels and focused on studying the survival and function of cells grown in the surrounding tissue, including rodent liver cells called hepatocytes. The hepatocyte experiments were conducted in collaboration with study co-author Kelly Stevens, whose research group at the University of Washington specializes in studying the delicate cells, which are notoriously difficult to maintain outside the body.
Stevens is an assistant professor of bioengineering in the UW College of Engineering, assistant professor of pathology at the UW School of Medicine and an investigator at the UW Medicine Institute for Stem Cell and Regenerative Medicine.
"This method could be used with a much wider range of material cocktails than many other bioprinting technologies," Stevens said. "This makes it incredibly versatile."
Miller said, "We showed that perfusion through 3D vascular networks allows us to sustain these large liverlike tissues. While there are still long-standing challenges associated with maintaining hepatocyte function, the ability to both generate large volumes of tissue and sustain the cells in those volumes for sufficient time to assess their function is an exciting step forward."
Additional authors include Gisele Calderon, Karen Vasquez Ruiz, David Yalacki, Palvasha Deme, Kevin Janson, Daniel Sazer and Saarang Panchavati, all of Rice; Sarah Saxton and Fredrik Johansson, both of UW; Jesse Louis-Rosenberg of Nervous System; and Karl-Dimiter Bissig of Baylor College of Medicine.
The work was supported by the Robert J. Kleberg Jr. and Helen C. Kleberg Foundation, the National Institutes of Health (HL134510, DK115461, DP2HL137188, T32EB001650, HL140905) and the Cancer Prevention and Research Institute of Texas via the Texas Hepatocellular Carcinoma Consortium (CPRIT RP150587)
A copy of the paper is available at: https://doi.org/10.1038/s41551-020-0566-1
The open-access dataset underlying this work is available at: https://doi.org/10.5281/zenodo.3723373
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