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Porous Scaffolds Derived from Devitalized Tissue Engineered Cartilaginous Matrix Support Chondrogenesis of Adult Stem Cells

2017· article· en· W2599846989 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueACS Biomaterials Science & Engineering · 2017
Typearticle
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsTrinity College
FundersNational Institute of Arthritis and Musculoskeletal and Skin DiseasesEuropean Regional Development FundEuropean Research CouncilNational Institutes of HealthHigher Education Authority
KeywordsTissue engineeringChondrogenesisCartilageBiomedical engineeringScaffoldMatrix (chemical analysis)Materials scienceExtracellular matrixStem cellChemistryAnatomyCell biologyBiologyMedicineComposite materialBiochemistry

Abstract

fetched live from OpenAlex

ECM-derived scaffolds have previously been developed from devitalized native cartilage and successfully used in tissue engineering. Such ECM-based biomaterials are commonly derived from animal tissue, which may not represent the ideal source for applications in human. Native human ECM can be used as an alternative to xenogeneic tissue; however, its supply may be limited, leading to the need for a more readily available source of such biomaterials. The objective of this study was to compare devitalized native and tissue engineered cartilaginous ECM as chondro-permissive scaffolds for tissue engineering. To this end, porous scaffolds were produced using ECM derived from porcine articular cartilage and cartilaginous sheets engineered using human bone marrow stem cells. An identical process was used to produce scaffolds from three different types of devitalized ECMs, namely that derived from porcine cartilage (Native), human engineered cartilaginous sheets (Eng), and human engineered cartilaginous sheets generated in the presence of growth factor releasing microspheres (Eng-MS). Scaffolds produced using both devitalized engineered and native ECM possessed similar mechanical properties, pore size and GAG content, although were compositionally distinct. After being seeded with human infrapatellar fat pad stem cells, the engineered ECM-derived scaffolds (no Microspheres) supported less robust cartilage matrix deposition than native ECM scaffolds. However, more chondro-permissive scaffolds could be generated using cartilaginous ECM engineered in the presence of TGF-β1 releasing microspheres. Eng-MS scaffolds supported comparable levels of GAG synthesis to native ECM scaffolds. These results demonstrate that engineered ECM can be used to produce scaffolds for cartilage tissue engineering, overcoming stock limitations and other barriers associated with native autogeneic, allogeneic, and xenogeneic tissues. Such engineered ECM holds significant promise as an off-the-shelf chondro-permissive scaffold for articular cartilage repair.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.255
Teacher spread0.244 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it