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Record W2567502027

KETOTIFEN INHIBITS FIBROBLAST CONTRACTILE RESPONSES IN THE PRESENCE OF MAST CELLS

2018· article· en· W2567502027 on OpenAlexaff
Mingjie Zhang, Paul Salo, David A. Hart, A. Dean Befus

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldArts and Humanities
TopicHermeneutics and Narrative Identity
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsKetotifenCapsuleJoint capsuleFibroblastMast cellContractureFibrosisChemistryJoint ContractureDegranulationAndrologyContraction (grammar)Muscle contractureMedicinePharmacologyIn vitroImmunologyInternal medicineSurgeryBiochemistryBiology
DOInot available

Abstract

fetched live from OpenAlex

Summary Previous work in a rabbit model of post-traumatic joint contractures shows that the mast cell stabilizer ketotifen decreases contracture severity. We show here that ketotifen decreases collagen gel contraction mediated by rabbit joint capsule fibroblasts when mast cells are present. Introduction Ketotifen was shown to decrease contracture severity and associated joint capsule fibrosis in an animal model of post-traumatic joint contractures. Ketotifen prevents the release of profibrotic growth factors from mast cells (MC). An in vitro collagen gel contraction assay is used to examine the effect of ketotifen on joint capsule fibroblasts obtained from this animal model. Methods Six New Zealand White rabbits had a standardised procedure to induce post-traumatic joint contractures and the joint capsule was harvested 4 weeks later. The capsules were minced, placed into T75 culture flasks and incubated at 37 0 C in a humidified atmosphere containing 5% CO 2 . The Joint Capsule fibroblasts (JC, 2.5 × 10 5 cells/mL) were mixed with neutralised collagen solution composed of 59% neutralised PureCol collagen I, serum free DMEM/F12 with 1x serum replacement and 1x antibiotic-antimycotic. Aliquots of solution were then cast into wells of a tissue culture plate. Gelation occurred over 3h at 37°C in a humidified incubator. The collagen gel/cells were maintained with DMEM/F-12 plus 1% serum replacement and 1% antibiotic-antimycotic and incubated at 37°C for 12 h. The gels were released and gel area was calculated up to 72h post-release. Different experiments were conducted with various combinations of a human mast cell line (HMC-1, 7.5 × 10 5 cells/mL), the neuropeptide Substance P (SP, 10 −6 M) and Ketotifen fumurate at 10 −4 , 10 −6 , 10 −8 and 10 −10 M. The various interventions were combined with the JC and collagen gel during the gelation step. Statistical comparisons used a two way ANOVA with a Posthoc Tukey test. Significance was set at p Results The JC contracted the collagen gels in all conditions, with statistically significant differences between time intervals from 6 h to 72 h. When ketotifen alone was added to JC, there was no effect on collagen gel contraction in the range of doses tested. Adding MC to JC led to a significantly increased rate of gel contraction that was inhibited by ketotifen in a dose-dependent manner. The effect was maximal with a concentration of 10 −4 M while the effect was absent by the dose of 10 −10 M. There were statistically significant differences amongst different doses except for comparisons between doses closest to each other (10 −4 vs 10 −6 , 10 −6 vs 10 −8 , 10 −8 vs 10 −10 M). Including SP with MC and JC further increased the rate of gel contraction, which was also significantly inhibited by ketotifen in a similar dose-dependent fashion. Discussion/Conclusion Fibroblasts from rabbit joint capsules contract collagen gels with the effect enhanced by the addition of mast cells. Ketotifen prevents the release of mediators by mast cells, and ketotifen modified the collagen gel assay. It appears that the inhibition of the gel contraction by the fibroblasts is via mast cell stabilization since ketotifen had no direct affect on the fibroblasts in the concentrations evaluated. Ketotifen is a medication used in the chronic treatment of asthma. It has a wide safety profile, it is already approved for human use and it is available in oral preparations.

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)0.000
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

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)0.0020.000

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 head0.035
GPT teacher head0.254
Teacher spread0.219 · 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
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
Published2018
Admission routes1
Has abstractyes

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