Evidence map›Paper›PMID 34197049›Full record

ArticleAdvanced healthcare materials2021

Human Induced Pluripotent Stem Cell-Derived Neural Progenitor Cells Produce Distinct Neural 3D In Vitro Models Depending on Alginate/Gellan Gum/Laminin Hydrogel Blend Properties.

Julia Kapr, Laura Petersilie, Thomas Distler, Ines Lauria, Farina Bendt, Clemens M Sauter, Aldo R Boccaccini, Christine R Rose, Ellen Fritsche

Open access · hybridAbstract read
In one paragraph

Article in Advanced healthcare materials, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.4field-weighted citation impact, top 12% of its field
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

19 citing papers in PubMed, 37 citations in OpenAlex.

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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

9 authors at 3 institutions in 1 country.

Julia KaprIUF - Leibniz Research Institute for Environmental Medicine, Düsseldorf, 40225, Germany.ORCID 0000-0002-8465-4137
Laura PetersilieInstitute of Neurobiology, Heinrich Heine University, Düsseldorf, 40225, Germany.
Thomas DistlerInstitute of Biomaterials, Department of Materials Science and Engineering, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, 91054, Germany.
Ines LauriaIUF - Leibniz Research Institute for Environmental Medicine, Düsseldorf, 40225, Germany.
Farina BendtIUF - Leibniz Research Institute for Environmental Medicine, Düsseldorf, 40225, Germany.
Clemens M SauterIUF - Leibniz Research Institute for Environmental Medicine, Düsseldorf, 40225, Germany.
Aldo R BoccacciniInstitute of Biomaterials, Department of Materials Science and Engineering, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, 91054, Germany.
Christine R RoseInstitute of Neurobiology, Heinrich Heine University, Düsseldorf, 40225, Germany.
Ellen FritscheIUF - Leibniz Research Institute for Environmental Medicine, Düsseldorf, 40225, Germany.
Leibniz Institute of Environmental Medicine · DEFriedrich-Alexander-Universität Erlangen-Nürnberg · DEHeinrich Heine University Düsseldorf · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stable and predictive neural cell culture models are a necessary premise for many research fields. However, conventional 2D models lack 3D cell-material/-cell interactions and hence do not reflect the complexity of the in vivo situation properly. Here two alginate/gellan gum/laminin (ALG/GG/LAM) hydrogel blends are presented for the fabrication of human induced pluripotent stem cell (hiPSC)-based 3D neural models. For hydrogel embedding, hiPSC-derived neural progenitor cells (hiNPCs) are used either directly or after 3D neural pre-differentiation. It is shown that stiffness and stress relaxation of the gel blends, as well as the cell differentiation strategy influence 3D model development. The embedded hiNPCs differentiate into neurons and astrocytes within the gel blends and display spontaneous intracellular calcium signals. Two fit-for-purpose models valuable for i) applications requiring a high degree of complexity, but less throughput, such as disease modeling and long-term exposure studies and ii) higher throughput applications, such as acute exposures or substance screenings are proposed. Due to their wide range of applications, adjustability, and printing capabilities, the ALG/GG/LAM based 3D neural models are of great potential for 3D neural modeling in the future.

Indexed as

Induced Pluripotent Stem CellsAlginatesCell DifferentiationHumansHydrogelsLamininPolysaccharides, BacterialPrinting, Three-DimensionalAlginatesgellan gumHydrogelsLamininPolysaccharides, Bacterialalternative methodsbioprintingbrain spheresextracellular matrixhuman induced pluripotent stem cellsneurospheresspheroids

Identifiers

PMID34197049
PMCPMC11468953
OpenAlexW3175866912

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.