MétaCan
Menu
← Back to cohort
Record W4413373827 · doi:10.1096/fj.202500883r

Induced Chondrocyte Ablation Disrupts Articular Cartilage Homeostasis but Is Not a Driver of Degeneration

2025· article· en· W4413373827 on OpenAlexafffund
Anand O. Masson, Jessica May Corpuz, Kathryna Corpuz, Jeff Biernaskie, W. Brent Edwards, Roman Krawetz

Bibliographic record

VenueThe FASEB Journal · 2025
Typearticle
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsAlberta Children's HospitalAlberta Bone and Joint Health InstituteUniversity of Calgary
FundersNatural Sciences and Engineering Research Council of CanadaCumming School of Medicine, University of CalgaryUniversity of CalgaryAlberta InnovatesCanada Research ChairsCanada Foundation for InnovationCalgary Foundation
KeywordsArticular cartilageChondrocyteDegeneration (medical)HomeostasisAblationCell biologyCartilageChemistryAnatomyMedicineOsteoarthritisPathologyBiologyInternal medicine

Abstract

fetched live from OpenAlex

Chondrocytes define and maintain tissue architecture in articular cartilage and are critical in regulating the microenvironment in both health and disease. Their loss/dysfunction has been associated with aging, injury, and osteoarthritis (OA), which is characterized by cartilage degradation. However, the role of chondrocyte death in cartilage degeneration remains controversial. We employed a Cre-inducible diphtheria toxin mouse model to deplete articular chondrocytes and evaluated the spatiotemporal effects on tissue structure and functional integrity. Chondrocyte-ablated mice exhibit altered proteoglycan staining, mechanical properties, and transient upregulation of proteases. Despite overt hypocellularity in aged mice, the phenotype did not progress to cartilage degeneration, nor OA. Our results suggest that murine articular cartilage has the ability, albeit limited, to compensate for the loss of chondrocytes and mitigate the consequent degree of harm. We demonstrate that chondrocyte depletion in the absence of injury, inflammation, or other insult is insufficient to initiate the OA disease cascade.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.019
GPT teacher head0.267
Teacher spread0.248 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

Explore more

Same venueThe FASEB Journal→Same topicOsteoarthritis Treatment and Mechanisms→French-language works237,207→