Evidence map›Paper›PMID 42541123›Full record

ArticleMaterials today. Bio2026

Programmable continuous gradient bioprinting for engineering spatially heterogeneous microenvironments.

Taekyung Choi, Hyungseok Lee

Abstract read
In one paragraph

Article in Materials today. Bio, 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

2 authors.

Taekyung ChoiDepartment of Smart Health Science and Technology, Kangwon National University (KNU), 1, Kangwondaehak-gil, Chuncheon-si, Gangwon-do, Republic of Korea.
Hyungseok LeeDepartment of Smart Health Science and Technology, Kangwon National University (KNU), 1, Kangwondaehak-gil, Chuncheon-si, Gangwon-do, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Native tissues exhibit spatial heterogeneity in mechanical, cellular, and biochemical properties, yet reproducing such gradients in extrusion-based bioprinting remains challenging. Existing multi-material bioprinting approaches can create spatial variations in material composition, but often rely on discrete material transitions rather than continuous gradients. Here, we present a dual ball-valve mixing module that generates continuous gradients through real-time control of the mixing ratio between two precursor inks within a single-nozzle configuration. Complementary actuation of paired ball valves continuously adjusts the mixing ratio while maintaining constant extrusion conditions, transforming gradient formation into a programmable feature of the printing process. The versatility of the platform was demonstrated through gradients in mechanical stiffness, cell density, and biochemical cues. Continuous mixing enabled gradual transitions in material properties, reducing abrupt interfacial changes associated with discrete material deposition. Spatially defined cell-density distributions and graded two-population cellular interfaces were achieved while maintaining cell viability comparable to conventional extrusion bioprinting. Furthermore, a TGF-β1 gradient induced location-dependent epithelial-mesenchymal transition responses, demonstrating the ability to translate programmed biochemical gradients into spatially regulated cellular behavior. Consequently, this work establishes dynamic bioink mixing as an effective strategy for generating continuous and spatially programmable gradients, enabling the integration of material composition, cellular organization, and biochemical signaling within a single extrusion-based bioprinting process.

Indexed as

Ball valve flow controlExtrusion bioprintingFunctionally graded bioinkTissue microenvironment engineering

Identifiers

PMID42541123
PMCPMC13427517

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.