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Record W2178190838 · doi:10.1089/153834402765035635

Comparison of High Cryoprotectant Concentrations for Cryopreservation of Porcine Articular Cartilage

2002· article· en· W2178190838 on OpenAlexfundno aff
Nadr M. Jomha, P. C. Anoop, K. M. Bagnall, L.E. McGann

Bibliographic record

VenueCell Preservation Technology · 2002
Typearticle
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsnot available
FundersEdmonton Civic Employees Charitable Assistance FundUniversity of AlbertaOrthopaedic Research Society
KeywordsCryoprotectantDimethyl sulfoxideCryopreservationChemistryPolyvinyl alcoholToxicityChromatographyAndrologyBiologyMedicineEmbryoOrganic chemistryCell biology

Abstract

fetched live from OpenAlex

Large, untreated articular cartilage (AC) defects degenerate into osteoarthritis, and successful cryopreservation of AC may improve treatment outcomes. This study compared three cryoprotectant solutions (6 M dimethyl sulfoxide, 5 M propylene glycol, and a combination solution of 3.1 M dimethyl sulfoxide, 2.2 M propylene glycol, and 3.1 M formamide in phosphate-buffered saline) using a rapid-cooling protocol on intact, 10-mm-diameter, porcine osteochondral dowels. Fresh controls, toxicity controls, and experimental samples were examined using membrane integrity stains for intact chondrocyte recovery. The results of this study demonstrated that after rapid cooling and warming, the 6 M dimethyl sulfoxide (33 ± 2%) and 5 M propylene glycol (24 ± 2%) solutions had significantly higher recovery of intact cells than the combination solution (10 ± 2%). The chondrocytes in the superficial layer were the most significantly damaged in the toxicity controls, but after rapid cooling, the middle layer in all solutions demonstrated significantly higher recovery of intact cells than the superficial layer (likely because of toxicity) and the deep layer (likely because of inadequate cryoprotectant penetration). High concentrations of cryoprotectants with a rapid-cooling rate can cryopreserve intact AC with moderate recovery of intact cells.

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 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 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 score0.022
Threshold uncertainty score0.474

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.037
GPT teacher head0.284
Teacher spread0.247 · 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 teacher head, 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

Citations8
Published2002
Admission routes1
Has abstractyes

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