ArticleBiofabrication2025
One-step bioprinting of endothelialized, self-supporting arterial and venous networks.
Article in Biofabrication, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- Coconut Oil as Lipid-Based 3D-Printable Sacrificial Material for the Facile Biofabrication of Precise Perfusable Microchannels and Freeform Hydrogel Structures.Small science · 2026Article
- Computational design of artificial supply networks for engineered human tissue.Scientific reports · 2026Article
- Hybrid bioprinting of hierarchical vascular networks at capillary-scale resolution.Nature chemical engineering · 2026Article
- Bioprinting Organs-Science or Fiction?-A Review From Students to Students.Advanced healthcare materials · 2026Review
- A diffusion-based 3D printing strategy to fabricate self-supporting, perfusable networks.BMC methods · 2026Review
- Bioprinting Vascularized Constructs for Clinical Relevance: Engineering Hydrogel Systems for Biological Maturity.Gels (Basel, Switzerland) · 2025Review
- Engineering next-generation organoids: A review on bioprinting strategies, bioink innovations, and frontier applications.Journal of tissue engineeringReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
Abstract
Advances in biofabrication have enabled the generation of freeform perfusable networks mimicking vasculature. However, key challenges remain in the effective endothelialization of these complex, vascular-like networks, including cell uniformity, seeding efficiency, and the ability to pattern multiple cell types. To overcome these challenges, we present an integrated fabrication and endothelialization strategy to directly generate branched, endothelial cell-lined networks using a diffusion-based, embedded 3D bioprinting process. In this strategy, a gelatin microparticle sacrificial ink delivering both cells and crosslinkers is extruded into a crosslinkable gel precursor support bath. A self-supporting, perfusable structure is formed by diffusion-induced crosslinking, after which the sacrificial ink is melted to allow cell release and adhesion to the printed lumen. This approach produces a uniform cell lining throughout networks with complex branching geometries, which are challenging to uniformly and efficiently endothelialize using conventional perfusion-based approaches. Furthermore, the biofabrication process enables high cell viability (>90%) and the formation of a confluent endothelial layer providing vascular-mimetic barrier function and shear stress response. Leveraging this strategy, we demonstrate for the first time the patterning of multiple endothelial cell types, including arterial and venous cells, within a single arterial-venous-like network. Altogether, this strategy enables the fabrication of multi-cellular engineered vasculature with enhanced geometric complexity and phenotypic heterogeneity.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.