Evidence map›Paper›PMID 41512032›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2026

Engineered and decellularized human cartilage graft exhibits intrinsic immunosuppressive properties and full skeletal repair capacity.

Alejandro Garcia Garcia, Sujeethkumar Prithiviraj, Deepak Bushan Raina, Tobias Schmidt, Sara Gonzalez Anton, Laura Rabanal Cajal, David Hidalgo Gil, Magnus Tägil, Axel Hyrenius-Wittsten, Madelene W Dahlgren and 2 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

Alejandro Garcia GarciaCell, Tissue and Organ Engineering Laboratory, Department of Clinical Sciences Lund, Lund University, Lund 22362, Sweden.
Sujeethkumar PrithivirajCell, Tissue and Organ Engineering Laboratory, Department of Clinical Sciences Lund, Lund University, Lund 22362, Sweden.ORCID 0000-0001-8314-4234
Deepak Bushan RainaThe Faculty of Medicine, Department of Clinical Sciences Lund, Division of Orthopaedics, Lund 22362, Sweden.
Tobias SchmidtWallenberg Centre for Molecular Medicine, Lund University, Lund 22362, Sweden.
Sara Gonzalez AntonCell, Tissue and Organ Engineering Laboratory, Department of Clinical Sciences Lund, Lund University, Lund 22362, Sweden.
Laura Rabanal CajalCell, Tissue and Organ Engineering Laboratory, Department of Clinical Sciences Lund, Lund University, Lund 22362, Sweden.
David Hidalgo GilCell, Tissue and Organ Engineering Laboratory, Department of Clinical Sciences Lund, Lund University, Lund 22362, Sweden.
Magnus TägilThe Faculty of Medicine, Department of Clinical Sciences Lund, Division of Orthopaedics, Lund 22362, Sweden.
Axel Hyrenius-WittstenDivision of Clinical Genetics, Department of Laboratory Medicine, Lund University, Lund 22362, Sweden.ORCID 0000-0002-1239-4954
Madelene W DahlgrenDivision of Molecular Hematology, Department of Laboratory Medicine, Lund University, Lund 22362, Sweden.ORCID 0000-0002-8640-0157
Robin KahnWallenberg Centre for Molecular Medicine, Lund University, Lund 22362, Sweden.
Paul E BourgineCell, Tissue and Organ Engineering Laboratory, Department of Clinical Sciences Lund, Lund University, Lund 22362, Sweden.ORCID 0000-0002-7639-6844

Funding

Cancerfonden (Swedish Cancer Society)EC | European Research Council (ERC)Vetenskapsrådet (VR)
6 · The paper itself

Abstract

Tissue engineering strategies predominantly consist of the autologous generation of living substitutes capable of restoring damaged body parts. Persisting challenges with patient-specific approaches include inconsistent performance, high costs, and delayed graft availability. Toward developing a one-for-all solution, a more attractive paradigm lies in the exploitation of dedicated cell lines for the fabrication of human tissue grafts. Following decellularization, this new class of biomaterials relies on the sole extracellular matrix and embedded growth factors instructing endogenous repair. This conceptual approach was previously validated using a custom mesenchymal cell line for the manufacturing of human cartilage, exhibiting remarkable osteoinductive capacity following lyophilization. Key missing criteria to envision clinical translation include proper decellularization as well as stringent assessment of both immunogenicity and regenerative performance. Here, we report the engineering and subsequent decellularization of human cartilage tissue with minimal matrix impairment. Ectopic evaluation in immunocompetent (IC) and immunocompromised animals reveals preservation of osteoinductivity predicted by macrophage kinetic of polarization. By establishing in vitro human allogeneic coculture models, we evidenced the immunosuppressive properties of cell-free human cartilages, controlling macrophage and dendritic cell maturation as well as T cell activation. Finally, regenerative performance was stringently assessed in an IC rat orthotopic model whereby decellularized human cartilage grafts achieved morphological and mechanical restoration of all critical-sized femoral defects. Taken together, our study provides robust safety and efficacy prerequisites prompting a first-in-human trial for engineered and decellularized human tissue grafts.

Indexed as

CartilageDecellularized Extracellular MatrixTissue EngineeringAnimalsExtracellular MatrixHumansOsteogenesisRatsDecellularized Extracellular Matrixdecellularizationendochondral ossificationextracellular matricesimmune responsetissue engineering

Identifiers

PMID41512032
PMCPMC12799180

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Registered trials

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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.