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Record W3118989013 · doi:10.1089/ten.tec.2020.0294

Collagen-Induced Temporomandibular Joint Arthritis Juvenile Rat Animal Model

2021· article· en· W3118989013 on OpenAlexaff
Jacqueline Crossman, Hollis Lai, Marianna Kulka, Nadr M. Jomha, Patrick M. Flood, Tarek El‐Bialy

Bibliographic record

VenueTissue Engineering Part C Methods · 2021
Typearticle
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsAlberta Medical AssociationUniversity of Alberta
Fundersnot available
KeywordsTemporomandibular jointArthritisMedicineSalineType II collagenCartilageCondyleOsteoarthritisImmunostainingInternal medicineEndocrinologyImmunohistochemistryPathologyAnatomy

Abstract

fetched live from OpenAlex

Juvenile idiopathic arthritis can affect the temporomandibular joint (TMJ) can cause growth disturbances of the lower jaw (mandible). The collagen-induced arthritis (CIA) juvenile rat model may be an appropriate model for studying how juvenile arthritis affects this joint during growth. However, studies using this animal model to investigate TMJ arthritis are limited. To validate an animal model for studying TMJ arthritis in growing rats, our study aimed to investigate the changes in mandibular growth and expression of proteins and cytokines in the mandibular condyle of CIA juvenile rat TMJs. A total of 27 male Wistar rats (3 weeks old) were scanned with microcomputed tomography (MicroCT) and divided into three groups ( n = 9); CIA was induced in each TMJ in the CIA group, the Saline group received saline injections (sham injections) into their TMJs, and the Healthy group remained untreated (no TMJ injections) as negative controls. After 4 weeks, our results show that mandibular growth was significantly reduced in the CIA group compared with the Saline group ( p < 0.01). There was no difference in mandibular growth between the two control groups (Saline and Healthy). Inflamed synovial tissue, cartilage invaginations, and lipid accumulation were observed in the CIA TMJs. Toluidine blue staining revealed decreased proteoglycan production in the CIA cartilage. In addition, immunohistochemistry revealed that type II collagen expression decreased, interleukin-1β expression increased, and matrix metalloproteinase-13 expression increased in the CIA TMJs in comparison with the two control groups (Saline and Healthy). Immunostaining of tumor necrosis factor-α (TNF-α) was quantified and we showed that TNF-α expression was significantly greater in the CIA cartilage compared with both control groups ( p < 0.05), and there was no difference in TNF-α expression between the Saline and Healthy groups. This CIA juvenile rat model of TMJ juvenile arthritis shows that CIA reduced mandibular growth and induced degenerative changes in TMJ condylar cartilage. This new information will help to understand the pathogenesis involved in CIA in juvenile rat TMJs for this animal model to be used in research investigating new therapeutics to treat TMJ juvenile arthritis. Impact statement In this study, the effects of collagen-induced arthritis (CIA) on the temporomandibular joint (TMJ) using a juvenile rat model were investigated. Our results showed that local injection of CIA in the TMJ significantly reduced mandibular growth and caused degenerative changes in condylar cartilage. This information helps to validate this animal model for studying the effect of arthritis in TMJs in growing rats. This model has the potential to be used in future studies to evaluate possible therapies for TMJ arthritis.

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)0.001
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: Methods · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.044
GPT teacher head0.327
Teacher spread0.282 · 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
GenreMethods

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

Citations6
Published2021
Admission routes1
Has abstractyes

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