Evidence map›Paper›PMID 34114736›Full record

ArticleJournal of biomedical materials research. Part B, Applied biomaterials2021

The evaluation of a multiphasic 3D-bioplotted scaffold seeded with adipose derived stem cells to repair osteochondral defects in a porcine model.

Rachel C Nordberg, Pedro Huebner, Karl G Schuchard, Liliana F Mellor, Rohan A Shirwaiker, Elizabeth G Loboa, Jeffery T Spang

Abstract read
In one paragraph

Article in Journal of biomedical materials research. Part B, Applied biomaterials, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
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  7. 3D Printing for Bone-Cartilage Interface Regeneration.Frontiers in bioengineering and biotechnology · 2022
    Review
  8. 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.

Rachel C NordbergCollege of Engineering, University of Missouri, Columbia, Missouri, USA.ORCID 0000-0001-6047-6009
Pedro HuebnerDepartment of Industrial and Systems Engineering, North Carolina State University, Raleigh, North Carolina, USA.
Karl G SchuchardDepartment of Industrial and Systems Engineering, North Carolina State University, Raleigh, North Carolina, USA.
Liliana F MellorJoint Department of Biomedical Engineering, University of North Carolina at Chapel Hill and North Carolina State University, Raleigh, North Carolina, USA.
Rohan A ShirwaikerJoint Department of Biomedical Engineering, University of North Carolina at Chapel Hill and North Carolina State University, Raleigh, North Carolina, USA.
Elizabeth G LoboaCollege of Engineering, University of Missouri, Columbia, Missouri, USA.
Jeffery T SpangDepartment of Orthopaedics, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA.

Funding

Women's health: interplay of maternal diet and key demographics on neurological health in the rural frontier and remote WestP20GM103408 · NIGMS · UNIVERSITY OF IDAHO · PI Carolyn Hovde Bohach · 2012 to 2026
$59.8M
VPS35 D620N inhibits autophagy through disrupted hyaluronic acid-CD44 signalingP20GM109095 · NIGMS · BOISE STATE UNIVERSITY · PI OXFORD, JULIA THOM · 2014 to 2023
$22.7M
NRSA Training CoreTL1TR001415 · NCATS · UNIVERSITY OF CALIFORNIA-IRVINE · PI CAIOZZO, VINCENT JAMES, HEAD, ELIZABETH · 2015 to 2023
$4.2M
Tensile Strain-Induced Osteogenesis of Human Mesenchymal Stem Cells in 3D CultureR03EB008790 · NIBIB · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI LOBOA, ELIZABETH GRACE · 2010 to 2011
$142k
NCATS NIH HHS 550KR61325NCATS NIH HHS 550KR71418NCATS NIH HHS TL1 TR001415NCATS NIH HHS TR001415NIBIB NIH HHS 1R03EB008790NIBIB NIH HHS R03 EB008790NIGMS NIH HHS P20 GM103408NIGMS NIH HHS P20 GM109095NIH HHS P20GM103408NIH HHS P20GM109095
6 · The paper itself

Abstract

There is a need for the development of effective treatments for focal articular cartilage injuries. We previously developed a multiphasic 3D-bioplotted osteochondral scaffold design that can drive site-specific tissue formation when seeded with adipose-derived stem cells (ASC). The objective of this study was to evaluate this scaffold in a large animal model. Osteochondral defects were generated in the trochlear groove of Yucatan minipigs and repaired with scaffolds that either contained or lacked an electrospun tidemark and were either unseeded or seeded with ASC. Implants were monitored via computed tomography (CT) over the course of 4 months of in vivo implantation and compared to both open lesions and autologous explants. ICRS II evaluation indicated that defects with ASC-seeded scaffolds had healing that most closely resembled the aulogous explant. Scaffold-facilitated subchondral bone repair mimicked the structure of native bone tissue, but cartilage matrix staining was not apparent within the scaffold. The open lesions had the highest volumetric infill detected using CT analysis (p < 0.05), but the repair tissue was largely disorganized. The acellular scaffold without a tidemark had significantly more volumetric filling than either the acellular or ASC seeded groups containing a tidemark (p < 0.05), suggesting that the tidemark limited cell infiltration into the cartilage portion of the scaffold. Overall, scaffold groups repaired the defect more successfully than an open lesion but achieved limited repair in the cartilage region. With further optimization, this approach holds potential to treat focal cartilage lesions in a highly personalized manner using a human patient's own ASC cells.

Indexed as

Cartilage, ArticularTissue EngineeringAnimalsStem CellsSwineSwine, MiniatureTissue Scaffolds3D-printingin vivoosteochondralstem cellstissue engineering

Identifiers

PMID34114736
PMCPMC8490306

What OpenQuestion holds

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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.