Evidence map›Paper›PMID 41809026›Full record

ReviewBMC methods2026

A diffusion-based 3D printing strategy to fabricate self-supporting, perfusable networks.

Daniel Ramos Mejia, Betty Cai, Sean Chryz Iranzo, Andy Perez, Yee Lin Tan, Seungheon Lee, Sarah C Heilshorn

Abstract readReview
In one paragraph

Review in BMC methods, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Daniel Ramos Mejia *Department of Materials Science and Engineering, Stanford University, Stanford, CA 94305 USA.
Betty Cai *Department of Materials Science and Engineering, Stanford University, Stanford, CA 94305 USA.
Sean Chryz Iranzo *Department of Materials Science and Engineering, Stanford University, Stanford, CA 94305 USA.
Andy Perez *Department of Materials Science and Engineering, Stanford University, Stanford, CA 94305 USA.
Yee Lin TanDepartment of Materials Science and Engineering, Stanford University, Stanford, CA 94305 USA.
Seungheon LeeDepartment of Materials Science and Engineering, Stanford University, Stanford, CA 94305 USA.
Sarah C HeilshornDepartment of Materials Science and Engineering, Stanford University, Stanford, CA 94305 USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Engineered vasculature is essential for the biofabrication of functional tissue mimics. To fabricate engineered vasculature, three-dimensional (3D) bioprinting has emerged as a promising approach due to its ability to form perfusable structures with customized geometries. Sacrificial ink extrusion, where sacrificial inks are printed into a crosslinkable hydrogel precursor support bath, is a versatile bioprinting modality for fabricating interconnected perfusable networks. However, the fabrication of self-supporting structures with a vessel-like shell remains challenging using conventional sacrificial ink extrusion approaches. To enable the fabrication of self-supporting, perfusable networks, we developed a 3D bioprinting approach termed Gelation of Uniform Interfacial Diffusant in Embedded 3D Printing (GUIDE-3DP). This approach leverages the diffusion of crosslinking initiators from a printed sacrificial ink into a gel precursor support bath to generate branched, perfusable networks with precise control over channel inner and outer diameters. Methods: Here, we present an end-to-end protocol for fabricating self-supporting vascular-like networks using the GUIDE-3DP method. We describe methods for freeform print path design, support bath and sacrificial ink preparation, 3D printing of perfusable structures, and seeding of printed structures with endothelial cells. Through this protocol, perfusable structures with complex branching geometries can be designed, fabricated, and endothelialized. Discussion: To highlight the ability of GUIDE-3DP to fabricate self-supporting, perfusable networks with complex geometries, we demonstrate the fabrication of three representative structures: (1) an interconnected retinal vasculature network, (2) a hierarchical branched vascular network, and (3) a dual-material capillary-like network. We further demonstrate the endothelialization of printed structures with one or two cell types via single- or dual-material printing. Beyond vascular-like networks, this protocol is readily adaptable to design and fabricate mimics of other perfusable structures in the human body. Clinical trial number: Not applicable. Supplementary Information: The online version contains supplementary material available at 10.1186/s44330-026-00059-6.

Indexed as

BiofabricationBioprintingPerfusable structuresVascular mimics

Identifiers

PMID41809026
PMCPMC12968115

What OpenQuestion holds

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Registered trials

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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.