Evidence map›Paper›PMID 41011909›Full record

ArticleMicromachines2025

Curling of Gel Scaffold Layer for Cell Culture by a Deformable Microactuator Mat Toward Biological Canal Formation.

Satoshi Konishi, Shiho Shimizu, Katsunori Sakai

Abstract read
In one paragraph

Article in Micromachines, 2025. 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.

Satoshi KonishiDepartment of Mechanical Engineering, College of Science and Engineering, Ritsumeikan University, Kusatsu 525-8577, Japan.
Shiho ShimizuGraduate Course of Science and Engineering, Ritsumeikan University, Kusatsu 525-8577, Japan.
Katsunori SakaiGraduate Course of Science and Engineering, Ritsumeikan University, Kusatsu 525-8577, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A gel scaffold for a biological canal is formed using a deformable soft microactuator mat. Three-dimensional cellular tissue structures are important for organ-on-a-chip in in-vitro biomimetic models. However, most traditional cellular tissues have been cultured in a dish or transwell. Furthermore, cellular culture on the inner wall of pre-manufactured channels has been recently reported. In this study, we propose a deformable actuator mat that can transform a flat structure into a tubular structure. The active mat, which is composed of pneumatic balloon actuator arrays, assembles a biological canal from a flat sheet of a gel scaffold for cell culture. The mat can return to its initial flat state so that the gel-based canal structure with cells can self-stand. A self-standing tubular gel structure is demonstrated as a biomimetic canal toward a biological canal with cells. A self-standing tubular gel structure has permeability, which is important for evaluation of pharmacokinetics. The actuator mat under the gel layers was curled into a tubular shape (approximately 1 mm diameter) and returned after the assembly. Culturing cellular tissues on a demonstrated gel structure will reproduce the biological permeability of organs such as an intestinal tract. This study confirms the gel-based canal formation process without cells as a feasibility study. The proposed technique has potential for the flexible design of biological three-dimensional structures, thereby contributing to pharmacokinetics research.

Indexed as

biological canal formationdeformable microactuator matperfusion testpermeation testpneumatic balloon actuator

Identifiers

PMID41011909
PMCPMC12471433

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.