Evidence map›Paper›PMID 36318262›Full record

ArticleStem cells translational medicine2022

Hyaline Cartilage Microtissues Engineered from Adult Dedifferentiated Chondrocytes: Safety and Role of WNT Signaling.

Halah Kutaish, Laura Bengtsson, Philippe Matthias Tscholl, Antoine Marteyn, Vincent Braunersreuther, Alexandre Guérin, Frédérique Béna, Stefania Gimelli, David Longet, Sten Ilmjärv and 9 more

Open access · goldAbstract read
In one paragraph

Article in Stem cells translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

12 citing papers in PubMed, 17 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

19 authors at 2 institutions in 2 countries.

Halah KutaishDepartment of Pathology and Immunology, Medical School, University of Geneva, Geneva, Switzerland.ORCID 0000-0001-5016-4466
Laura BengtssonVanarix SA, Lausanne, Switzerland.
Philippe Matthias TschollUniversity Medical Center, University of Geneva, Geneva, Switzerland.
Antoine MarteynDepartment of Pathology and Immunology, Medical School, University of Geneva, Geneva, Switzerland.
Vincent BraunersreutherService of Clinical Pathology, Diagnostic Department, Geneva University Hospitals, Geneva, Switzerland.
Alexandre GuérinDepartment of Pathology and Immunology, Medical School, University of Geneva, Geneva, Switzerland.
Frédérique BénaService of Genetic Medicine, Diagnostic Department, Geneva University Hospitals, Geneva, Switzerland.
Stefania GimelliService of Genetic Medicine, Diagnostic Department, Geneva University Hospitals, Geneva, Switzerland.
David LongetDepartment of Pathology and Immunology, Medical School, University of Geneva, Geneva, Switzerland.
Sten IlmjärvDepartment of Pathology and Immunology, Medical School, University of Geneva, Geneva, Switzerland.
Pierre-Yves DietrichLaboratory of Tumor Immunology, Oncology Department, Center for Translational Research in Onco-Hematology, Geneva University Hospitals, University of Geneva, Geneva, Switzerland.ORCID 0000-0002-7375-6939
Eric GerstelUniversity Medical Center, University of Geneva, Geneva, Switzerland.
Vincent JaquetDepartment of Pathology and Immunology, Medical School, University of Geneva, Geneva, Switzerland.
Didier HannoucheUniversity Medical Center, University of Geneva, Geneva, Switzerland.
Jacques MenetreyUniversity Medical Center, University of Geneva, Geneva, Switzerland.
Mathieu AssalUniversity Medical Center, University of Geneva, Geneva, Switzerland.
Karl-Heinz KrauseDepartment of Pathology and Immunology, Medical School, University of Geneva, Geneva, Switzerland.
Erika CossetLaboratory of Tumor Immunology, Oncology Department, Center for Translational Research in Onco-Hematology, Geneva University Hospitals, University of Geneva, Geneva, Switzerland.
Vannary TiengVanarix SA, Lausanne, Switzerland.
University of Geneva · CHUniversity Hospital of Geneva · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The repair of damaged articular cartilage is an unmet medical need. Chondrocyte-based cell therapy has been used to repair cartilage for over 20 years despite current limitations. Chondrocyte dedifferentiation upon expansion in monolayer is well known and is the main obstacle to their use as cell source for cartilage repair. Consequently, current approaches often lead to fibrocartilage, which is biomechanically different from hyaline cartilage and not effective as a long-lasting treatment. Here, we describe an innovative 3-step method to engineer hyaline-like cartilage microtissues, named Cartibeads, from high passage dedifferentiated chondrocytes. We show that WNT5A/5B/7B genes were highly expressed in dedifferentiated chondrocytes and that a decrease of the WNT signaling pathway was instrumental for full re-differentiation of chondrocytes, enabling production of hyaline matrix instead of fibrocartilage matrix. Cartibeads showed hyaline-like characteristics based on GAG quantity and type II collagen expression independently of donor age and cartilage quality. In vivo, Cartibeads were not tumorigenic when transplanted into SCID mice. This simple 3-step method allowed a standardized production of hyaline-like cartilage microtissues from a small cartilage sample, making Cartibeads a promising candidate for the treatment of cartilage lesions.

Indexed as

Cartilage, ArticularHyaline CartilageAnimalsCells, CulturedChondrocytesMiceMice, SCIDTissue EngineeringWnt Signaling Pathwayarticular cartilagededifferentiationhyaline cartilagemicrotissuesre-differentiationtissue engineeringWNT signaling

Identifiers

PMID36318262
PMCPMC9801297
OpenAlexW4307839768

What OpenQuestion holds

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LicenceCC BY-NC
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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.