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Record W7005947275

The role of Pannexin 3 in forced exercise bone remodelling and its potential implications for osteoarthritis

2021· article· en· W7005947275 on OpenAlexaff

Bibliographic record

VenueScholarship@Western (Western University) · 2021
Typearticle
Languageen
FieldMedicine
TopicBiological and pharmacological studies of plants
Canadian institutionsWestern University
Fundersnot available
KeywordsOsteoarthritisContext (archaeology)CartilageBone remodelingPannexin
DOInot available

Abstract

fetched live from OpenAlex

Exercise such as running has been hypothesized to be a factor of osteoarthritis development. However, the relationship is unclear as differences in genetic backgrounds may influence the risk of osteoarthritis (OA). The gene Panx3 codes for the Pannexin 3 protein (PANX3), a mechanically sensitive channel that allows for the passage of various signalling molecules in both chondrocytes and osteoblasts (Boassa et al., 2007; Penuela et al., 2013; Zhang et al., 2021). We have previously shown PANX3 to be protective in traumatic osteoarthritis, however beneficial in age-induced osteoarthritis (Moon et al., 2021), suggesting that PANX3’s role in osteoarthritis development is context specific. As such, the present study aimed to investigate the role of PANX3 in an exercise model of osteoarthritis development.\nTo study this objective, adult male and female WT and Panx3 KO mice were subjected to a daily running protocol for 6 weeks. Knee samples of the mice were then analyzed through the Osteomeasure software. Although no cartilage defects indicating osteoarthritis was observed in any of the groups, the female KO mice had significantly more subchondral bone after forced exercise than all other groups. This data suggests that PANX3 is important in exercise induced subchondral bone remodelling. Considering changes in subchondral bone may precede cartilage degradation in OA, Panx3 KO mice may be more susceptible to non-traumatic OA development due to abnormal subchondral bone remodelling

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.091
Threshold uncertainty score0.420

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 head0.095
GPT teacher head0.327
Teacher spread0.232 · 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 designObservational
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
Published2021
Admission routes1
Has abstractyes

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