Evidence map›Paper›PMID 38951570›Full record

ArticleScientific reports2024

Enhanced chondrogenic potential in GelMA-based 3D cartilage model via Wnt3a surface immobilization.

Angela Imere, Nicola C Foster, Hadi Hajiali, Kerime Ebrar Okur, Abigail L Wright, Ines A Barroso, Alicia J El Haj

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
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

7 authors.

Angela Imere *Healthcare Technologies Institute, Institute of Translational Medicine, National Institute for Health and Care Research (NIHR) Birmingham Biomedical Research Centre, School of Chemical Engineering, University of Birmingham, Birmingham, B15 2TT, UK.
Nicola C Foster *Healthcare Technologies Institute, Institute of Translational Medicine, National Institute for Health and Care Research (NIHR) Birmingham Biomedical Research Centre, School of Chemical Engineering, University of Birmingham, Birmingham, B15 2TT, UK.
Hadi Hajiali *Healthcare Technologies Institute, Institute of Translational Medicine, National Institute for Health and Care Research (NIHR) Birmingham Biomedical Research Centre, School of Chemical Engineering, University of Birmingham, Birmingham, B15 2TT, UK. h.hajiali@bham.ac.uk.
Kerime Ebrar OkurHealthcare Technologies Institute, Institute of Translational Medicine, National Institute for Health and Care Research (NIHR) Birmingham Biomedical Research Centre, School of Chemical Engineering, University of Birmingham, Birmingham, B15 2TT, UK.
Abigail L WrightHealthcare Technologies Institute, Institute of Translational Medicine, National Institute for Health and Care Research (NIHR) Birmingham Biomedical Research Centre, School of Chemical Engineering, University of Birmingham, Birmingham, B15 2TT, UK.
Ines A BarrosoHealthcare Technologies Institute, Institute of Translational Medicine, National Institute for Health and Care Research (NIHR) Birmingham Biomedical Research Centre, School of Chemical Engineering, University of Birmingham, Birmingham, B15 2TT, UK.
Alicia J El HajHealthcare Technologies Institute, Institute of Translational Medicine, National Institute for Health and Care Research (NIHR) Birmingham Biomedical Research Centre, School of Chemical Engineering, University of Birmingham, Birmingham, B15 2TT, UK. a.elhaj@bham.ac.uk.

Funding

Medical Research Council MR/R015635/1MRC UKRMP Hub The Engineered Cell Environment (MR/R015635/1)
6 · The paper itself

Abstract

Cartilage tissue engineering aims to develop functional substitutes for treating cartilage defects and osteoarthritis. Traditional two-dimensional (2D) cell culture systems lack the complexity of native cartilage, leading to the development of 3D regenerative cartilage models. In this study, we developed a 3D model using Gelatin Methacryloyl (GelMA)-based hydrogels seeded with Y201 cells, a bone marrow mesenchymal stem cell line. The model investigated chondrogenic differentiation potential in response to Wnt3a stimulation within the GelMA scaffold and validated using known chondrogenic agonists. Y201 cells demonstrated suitability for the model, with increased proteoglycan content and upregulated chondrogenic marker expression under chondrogenic conditions. Wnt3a enhanced cell proliferation, indicating activation of the Wnt/β-catenin pathway, which plays a role in cartilage development. GelMA hydrogels provided an optimal scaffold, supporting cell viability and proliferation. The 3D model exhibited consistent responses to chondrogenic agonists, with TGF-β3 enhancing cartilage-specific extracellular matrix (ECM) production and chondrogenic differentiation. The combination of Wnt3a and TGF-β3 showed synergistic effects, promoting chondrogenic differentiation and ECM production. This study presents a 3D regenerative cartilage model with potential for investigating cartilage biology, disease mechanisms, and drug screening. The model provides insights into complex cartilage regeneration mechanisms and offers a platform for developing therapeutic approaches for cartilage repair and osteoarthritis treatment.

Indexed as

Cell DifferentiationCell ProliferationChondrogenesisHydrogelsMesenchymal Stem CellsTissue EngineeringWnt3A ProteinAnimalsCartilageCell LineChondrocytesExtracellular MatrixGelatinHumansTissue ScaffoldsTransforming Growth Factor beta3GelatinHydrogelsTransforming Growth Factor beta3Wnt3A Protein

Identifiers

PMID38951570
PMCPMC11217376

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.