Evidence map›Paper›PMID 42746405›Full record

ArticleCell biomaterials2026

Topological Tracks Patterned via 3D Printing Vascularize Murine Organ-Scale Constructs.

Olivia Prado, Sherina Malkani, Fredrik Johansson, Fan Zhang, Arafat Fasuyi, Sarah H Saxton, Ian S Kinstlinger, Jordan S Miller, Kelly R Stevens

Abstract read
In one paragraph

Article in Cell biomaterials, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

9 authors.

Olivia PradoDepartment of Bioengineering, University of Washington, Seattle, WA 98195, USA.
Sherina MalkaniDepartment of Bioengineering, University of Washington, Seattle, WA 98195, USA.
Fredrik JohanssonDepartment of Bioengineering, University of Washington, Seattle, WA 98195, USA.
Fan ZhangDepartment of Bioengineering, University of Washington, Seattle, WA 98195, USA.
Arafat FasuyiDepartment of Bioengineering, University of Washington, Seattle, WA 98195, USA.
Sarah H SaxtonDepartment of Bioengineering, University of Washington, Seattle, WA 98195, USA.
Ian S KinstlingerDepartment of Bioengineering, Rice University, Houston, TX 77005, USA.
Jordan S MillerDepartment of Bioengineering, Rice University, Houston, TX 77005, USA.
Kelly R StevensDepartment of Bioengineering, University of Washington, Seattle, WA 98195, USA.

Funding

Translational Bioimaging Core Shared ResourceP30CA015704 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Eric Collisson · 1985 to 2026
$296.4M
Photoabsorbing bioinks for expanding 3D printed human liver in situR01DK128551 · NIDDK · UNIVERSITY OF WASHINGTON · PI STEVENS, KELLY R · 2021 to 2024
$3.0M
NCI NIH HHS P30 CA015704NIDDK NIH HHS R01 DK128551
6 · The paper itself

Abstract

Engineered tissues could one day offer critical therapeutic relief for those requiring whole organ transplantation. Yet, their translation remains hindered by the need for robust vascularization throughout tissues of organ-scale sizes. Here, we used selective laser sintering of sacrificial isomalt templates to pattern vascular-promoting "tracks" across murine organ-scale tissue constructs. Upon implantation in mice, the patterned tracks architecturally guided host-mediated vascularization within fibrin and gelatin methacrylate/methacryloyl (GelMA) constructs. While the inclusion of tracks improved the vascularization response within both matrices, GelMA constructs demonstrated greater implant stability after 1 week

Indexed as

artificial tissueengineered vasculatureSacrificial templatingvascularization

Identifiers

PMID42746405
PMCPMC13577448

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.