Evidence map›Paper›PMID 34820576›Full record

ArticleBioactive materials2022

Increased connectivity of hiPSC-derived neural networks in multiphase granular hydrogel scaffolds.

Chia-Chen Hsu, Julian H George, Sharlayne Waller, Cyril Besnard, David A Nagel, Eric J Hill, Michael D Coleman, Alexander M Korsunsky, Zhanfeng Cui, Hua Ye

Abstract read
In one paragraph

Article in Bioactive materials, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

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  11. Granular Hydrogels for Harnessing the Immune Response.Advanced healthcare materials · 2024
    Review
  12. The Evolution of Technology-Driven In Vitro Models for Neurodegenerative Diseases.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Review
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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

10 authors.

Chia-Chen HsuInstitute of Biomedical Engineering, Department of Engineering Science, University of Oxford, OX3 7DQ, UK.
Julian H GeorgeInstitute of Biomedical Engineering, Department of Engineering Science, University of Oxford, OX3 7DQ, UK.
Sharlayne WallerInstitute of Biomedical Engineering, Department of Engineering Science, University of Oxford, OX3 7DQ, UK.
Cyril BesnardMBLEM, Department of Engineering Science, University of Oxford, Parks Road, Oxford, OX1 3PJ, UK.
David A NagelSchool of Biosciences, College of Health and Life Sciences, Aston University, Birmingham, B4 7ET, UK.
Eric J HillSchool of Biosciences, College of Health and Life Sciences, Aston University, Birmingham, B4 7ET, UK.
Michael D ColemanSchool of Biosciences, College of Health and Life Sciences, Aston University, Birmingham, B4 7ET, UK.
Alexander M KorsunskyMBLEM, Department of Engineering Science, University of Oxford, Parks Road, Oxford, OX1 3PJ, UK.
Zhanfeng CuiInstitute of Biomedical Engineering, Department of Engineering Science, University of Oxford, OX3 7DQ, UK.
Hua YeInstitute of Biomedical Engineering, Department of Engineering Science, University of Oxford, OX3 7DQ, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To reflect human development, it is critical to create a substrate that can support long-term cell survival, differentiation, and maturation. Hydrogels are promising materials for 3D cultures. However, a bulk structure consisting of dense polymer networks often leads to suboptimal microenvironments that impedes nutrient exchange and cell-to-cell interaction. Herein, granular hydrogel-based scaffolds were used to support 3D human induced pluripotent stem cell (hiPSC)-derived neural networks. A custom designed 3D printed toolset was developed to extrude hyaluronic acid hydrogel through a porous nylon fabric to generate hydrogel granules. Cells and hydrogel granules were combined using a weaker secondary gelation step, forming self-supporting cell laden scaffolds. At three and seven days, granular scaffolds supported higher cell viability compared to bulk hydrogels, whereas granular scaffolds supported more neurite bearing cells and longer neurite extensions (65.52 ± 11.59 μm) after seven days compared to bulk hydrogels (22.90 ± 4.70 μm). Long-term (three-month) cultures of clinically relevant hiPSC-derived neural cells in granular hydrogels supported well established neuronal and astrocytic colonies and a high level of neurite extension both inside and beyond the scaffold. This approach is significant as it provides a simple, rapid and efficient way to achieve a tissue-relevant granular structure within hydrogel cultures.

Indexed as

3D printingHyaluronanHydrogeliPSCMicrogelNeural tissue engineering

Identifiers

PMID34820576
PMCPMC8586009

What OpenQuestion holds

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LicenceCC BY
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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.