Evidence map›Paper›PMID 41821387›Full record

ReviewCell proliferation2026

Mechanobiology in Stem Cell-Based Bioprinting.

Supeng Ding, Tiankun Liu, Rui Yao

Abstract readReview
In one paragraph

Review in Cell proliferation, 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

3 authors.

Supeng DingHuman Organ Physiopathology Emulation System, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.ORCID https://orcid.org/0009-0005-3666-8269
Tiankun LiuHuman Organ Physiopathology Emulation System, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.
Rui YaoHuman Organ Physiopathology Emulation System, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.ORCID https://orcid.org/0000-0002-3251-9996

Funding

Institute of Zoology, Chinese Academy of Sciences 2024IOZ0102National Key Research and Development Program of China 2018YFA0109000National Key Research and Development Program of China 2022YFA1104600
6 · The paper itself

Abstract

Bioprinting with stem cells is an emerging technique for creating human tissues from scratch, transforming our understanding of biology and its biomedical applications. While significant attention has been paid to biochemical cues, mechanobiology is emerging as an equally important regulator in stem cell-based bioprinting, yet it has long been unexplored. Recent advances in elucidating mechanotransduction pathways underscore the need to comprehend bioink mechanics to bridge printability and stem cell fate regulation. This review emphasises the central role of mechanobiology in stem cell-based bioprinting: ensuring adequate printability while maintaining and programming stem cell functionality through biomechanical signals. We discuss how the mechanical properties of bioinks influence stem cell behaviour, with a focus on mechanosensitive stem cells, including pluripotent, mesenchymal, neural, hepatic and lung stem cells. Special attention is given to stem cell-based organoids and their associated mechanotransduction signalling pathways. We further identify four key mechanobiological requirements that define the relationship between print fidelity and the mechanical cues governing stem cell mechanosensing. We propose integrative strategies drawing from innovations in materials science and bioprinting to reframe mechanics as a tunable parameter rather than a constraint. Our roadmap aims to leverage bioink mechanics not only to facilitate biofabrication but also to guide stem cell fate and functional remodelling of engineered tissues for potential clinical applications.

Indexed as

BioprintingMechanotransduction, CellularStem CellsAnimalsHumansTissue Engineeringbioinkbioprintingmechanobiologystem cellstiffness

Identifiers

PMID41821387
PMCPMC13114801

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.