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Record W2783904970 · doi:10.1089/jmf.2017.4034

The Combination of Probiotic Complex, Rosavin, and Zinc Improves Pain and Cartilage Destruction in an Osteoarthritis Rat Model

2018· article· en· W2783904970 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Medicinal Food · 2018
Typearticle
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsImpact
Fundersnot available
KeywordsProinflammatory cytokineOsteoarthritisCartilageProbioticInflammationMedicineAnabolismCatabolismInternal medicinePharmacologyEndocrinologyPathologyBiologyAnatomyMetabolism

Abstract

fetched live from OpenAlex

Osteoarthritis (OA), a degenerative disorder, induces pain, joint inflammation, and destruction of the articular cartilage matrix. Probiotic complex, rosavin, and zinc have been used as dietary supplements that exhibit anti-inflammatory and antioxidant properties. However, there is no evidence demonstrating a synergic effect in OA. This study aims to determine whether combination with probiotic complex, rosavin, and zinc decreases progression of monosodium iodoacetate (MIA)-induced OA rat model. The combination improved pain levels by preventing cartilage damage. The expression of proinflammatory cytokines and catabolic factors was reduced by the combination within the joint tissue. However, the combination increased anti-inflammatory cytokines as well as the anabolic factor production. The gene level of catabolic factors was decreased with treatment of the combination in chondrocytes isolated from OA patients. These results suggest that the combination can improve MIA development through the inhibition of proinflammatory cytokines and cartilage destruction, thus playing a key role as a therapeutic candidate for OA treatment.

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.

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 score0.494
Threshold uncertainty score0.280

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.018
GPT teacher head0.260
Teacher spread0.242 · 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