Evidence map›Paper›PMID 36904516›Full record

ArticlePolymers2023

Electrosprayed Particles Loaded with Kartogenin as a Potential Osteochondral Repair Implant.

Sebastian J Gurgul, Anabela Moreira, Yi Xiao, Swastina Nath Varma, Chaozong Liu, Pedro F Costa, Gareth R Williams

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Article in Polymers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

7 authors.

Sebastian J GurgulUCL School of Pharmacy, University College London, London WC1N 1AX, UK.ORCID 0000-0003-4935-2632
Anabela MoreiraBiofabics, 4200-135 Porto, Portugal.
Yi XiaoUCL School of Pharmacy, University College London, London WC1N 1AX, UK.
Swastina Nath VarmaInstitute of Orthopaedic and Musculoskeletal Science, University College London, Royal National Orthopaedic Hospital, Stanmore HA7 4AP, UK.ORCID 0000-0002-9449-8772
Chaozong LiuInstitute of Orthopaedic and Musculoskeletal Science, University College London, Royal National Orthopaedic Hospital, Stanmore HA7 4AP, UK.ORCID 0000-0002-9854-4043
Pedro F CostaBiofabics, 4200-135 Porto, Portugal.
Gareth R WilliamsUCL School of Pharmacy, University College London, London WC1N 1AX, UK.ORCID 0000-0002-3066-2860

Funding

European Commission 842007
6 · The paper itself

Abstract

The restoration of cartilage damage is a slow and not always successful process. Kartogenin (KGN) has significant potential in this space-it is able to induce the chondrogenic differentiation of stem cells and protect articular chondrocytes. In this work, a series of poly(lactic-co-glycolic acid) (PLGA)-based particles loaded with KGN were successfully electrosprayed. In this family of materials, PLGA was blended with a hydrophilic polymer (either polyethyleneglycol (PEG) or polyvinylpyrrolidone (PVP)) to control the release rate. Spherical particles with sizes in the range of 2.4-4.1 µm were fabricated. They were found to comprise amorphous solid dispersions, with high entrapment efficiencies of >93%. The various blends of polymers had a range of release profiles. The PLGA-KGN particles displayed the slowest release rate, and blending with PVP or PEG led to faster release profiles, with most systems giving a high burst release in the first 24 h. The range of release profiles observed offers the potential to provide a precisely tailored profile via preparing physical mixtures of the materials. The formulations are highly cytocompatible with primary human osteoblasts.

Indexed as

bone repairelectrosprayinghuman osteoblastskartogeninrestorative medicine

Identifiers

PMID36904516
PMCPMC10007262

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LicenceCC BY
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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.