Evidence map›Paper›PMID 27219220›Full record

ArticleAdvanced healthcare materials2016

Harnessing the Versatility of Bacterial Collagen to Improve the Chondrogenic Potential of Porous Collagen Scaffolds.

Paresh A Parmar, Jean-Philippe St-Pierre, Lesley W Chow, Jennifer L Puetzer, Violet Stoichevska, Yong Y Peng, Jerome A Werkmeister, John A M Ramshaw, Molly M Stevens

Open access · hybridAbstract read
In one paragraph

Article in Advanced healthcare materials, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

10 citing papers in PubMed, 34 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Recombinant collagen hydrogels induced by disulfide bonds.Journal of biomedical materials research. Part A · 2022
    Article
  6. Prokaryotic Collagen-Like Proteins as Novel Biomaterials.Frontiers in bioengineering and biotechnology · 2022
    Review
  7. Collagen in Wound Healing.Bioengineering (Basel, Switzerland) · 2021
    Review
  8. Article
  9. Article
  10. Article
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 2 countries.

Paresh A ParmarDepartment of Materials, Department of Bioengineering, Institute of Biomedical Engineering, Imperial College London, SW7 2AZ, UK.
Jean-Philippe St-PierreDepartment of Materials, Department of Bioengineering, Institute of Biomedical Engineering, Imperial College London, SW7 2AZ, UK.
Lesley W ChowDepartment of Materials, Department of Bioengineering, Institute of Biomedical Engineering, Imperial College London, SW7 2AZ, UK.
Jennifer L PuetzerDepartment of Materials, Department of Bioengineering, Institute of Biomedical Engineering, Imperial College London, SW7 2AZ, UK.
Violet StoichevskaThe Commonwealth Scientific and Industrial Research Organisation (CSIRO) Manufacturing, Bayview Avenue, Clayton, Victoria, 3169, Australia.
Yong Y PengThe Commonwealth Scientific and Industrial Research Organisation (CSIRO) Manufacturing, Bayview Avenue, Clayton, Victoria, 3169, Australia.
Jerome A WerkmeisterThe Commonwealth Scientific and Industrial Research Organisation (CSIRO) Manufacturing, Bayview Avenue, Clayton, Victoria, 3169, Australia.
John A M RamshawThe Commonwealth Scientific and Industrial Research Organisation (CSIRO) Manufacturing, Bayview Avenue, Clayton, Victoria, 3169, Australia.
Molly M StevensDepartment of Materials, Department of Bioengineering, Institute of Biomedical Engineering, Imperial College London, SW7 2AZ, UK.
Imperial College London · GBCommonwealth Scientific and Industrial Research Organisation · AUCSIRO Manufacturing · AU

Funding

Biotechnology and Biological Sciences Research CouncilEuropean Research Council 616417Medical Research CouncilWellcome Trust 088844Wellcome Trust 097816/Z/11/AWellcome Trust 098411Wellcome Trust 104931/Z/14/Z
6 · The paper itself

Abstract

Collagen I foams are used in the clinic as scaffolds to promote articular cartilage repair as they provide a bioactive environment for cells with chondrogenic potential. However, collagen I as a base material does not allow for precise control over bioactivity. Alternatively, recombinant bacterial collagens can be used as "blank slate" collagen molecules to offer a versatile platform for incorporation of selected bioactive sequences and fabrication into 3D scaffolds. Here, we show the potential of Streptococcal collagen-like 2 (Scl2) protein foams modified with peptides designed to specifically and noncovalently bind hyaluronic acid and chondroitin sulfate to improve chondrogenesis of human mesenchymal stem cells (hMSCs) compared to collagen I foams. Specific compositions of functionalized Scl2 foams lead to improved chondrogenesis compared to both nonfunctionalized Scl2 and collagen I foams, as indicated by gene expression, extracellular matrix accumulation, and compression moduli. hMSCs cultured in functionalized Scl2 foams exhibit decreased collagens I and X gene and protein expression, suggesting an advantage over collagen I foams in promoting a chondrocytic phenotype. These highly modular foams can be further modified to improve specific aspects chondrogenesis. As such, these scaffolds also have the potential to be tailored for other regenerative medicine applications.

Indexed as

ChondrogenesisBacterial ProteinsChondrocytesCollagenExtracellular MatrixHumansMesenchymal Stem CellsRegenerative MedicineTissue ScaffoldsBacterial ProteinsCollagenScl2 protein, Streptococcusbioactivitybiomimetic materialscartilage tissue engineeringcollagen foamsmesenchymal stem cells

Identifiers

PMID27219220
PMCPMC5405340
OpenAlexW2402884814

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.