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Record W2738258249

IN SITU CHONDROCYTE VISCOELASTICITY FOLLOWING STATIC AND DYNAMIC COMPRESSIONS

2016· article· en· W2738258249 on OpenAlexaffvenue
Svetlana Kuznetsova, Isabelle Villemure, Ziad Abu Sara, Yasir Al‐Saffar, Walter Herzog

Bibliographic record

VenueJournal of undergraduate research in Alberta · 2016
Typearticle
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsChondrocyteDynamic loadingMaterials scienceViscoelasticityBiomedical engineeringLoad cellStrain (injury)Composite materialPerpendicularCartilageDynamic load testingStructural engineeringAnatomyMathematicsMedicine
DOInot available

Abstract

fetched live from OpenAlex

INTRODUCTION Articular Cartilage (AC) is a thin layer of connective tissue covering bony surfaces of joints [1]. AC allows joints to move smoothly during load transmissions, and plays an essential part in the joints overall health [2]. Chondrocytes maintain AC extracellular matrix, the integrity of which depends largely on compressions applied to the tissue. Past studies used strain control protocols to apply static or short term dynamic compressions to AC and observe changes in chondrocyte morphology [1]. However, there is a lack of studies investigating chondrocyte cell behaviour under long-term cyclic compressions at different frequencies. The purpose of this study was to use three different loading protocols in order to see how chondrocyte cell behaviour undergoing static loading compare to cyclic loading at walking and running frequencies. METHODS Patellae from New Zealand white rabbits (N=12) were isolated and randomly assigned to one of three loading protocols [2]; (i) static loading with a constant strain level of 10 %,  (ii) dynamic sinusoidal loading oscillating at 1 Hz (walking frequency) and an average strain magnitude of 10%, (iii) dynamic sinusoidal loading oscillating at 2 Hz (running frequency) and the same average strain level. Compressive strain was applied for 45 min, followed by 15 min recovery. Cells were stained and tracked by Zeiss laser scanning microscopy during the loading protocol; time points were taken at 5min, 15min, and 30min during loading and at 2min, 5min, and 15min during recovery. RESULTS For the loading period, cellular width and depth (perpendicular  to the tissue thickness axis) for static loading increased on average by 10%, while cellular height (along the tissue thickness axis) decreased by approximately 20% with respect to the unloaded state (Figure 1a). Similar results were observed for width and depth for dynamic loading at 1 Hz frequency. However, unlike static loading, cellular height did not fully recover to its original state for all of the cells (Figure 1b). For the loading period of dynamic loading at 2 Hz, an increase was observed in cellular depth by approximately 15% along with an average increase in cellular width by 20%, while cellular height was decreased by almost 25% (Figure 1c). DISCUSSION AND CONCLUSIONS The lack of variation between static and dynamic compressions at 1 Hz suggests that the cellular mechanical response is similar when an individual walks or stands. The cellular mechanical response for 2 Hz frequency is different from static and 1 Hz loading protocols, thus suggesting that greater changes in cellular morphologies compensate the increase in frequency. In the future, more studies can be conducted to evaluate how cells respond at the same frequencies but under various strain levels.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.802
Threshold uncertainty score0.317

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.036
GPT teacher head0.370
Teacher spread0.334 · 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".

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Citations0
Published2016
Admission routes2
Has abstractyes

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