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<i>TAK1</i> ng aim at mechanisms of allergic inflammation: contribution of TAK1 activity in allergen‐mediated mast cell activation

2020· article· en· W3016676707 on OpenAlexaffabout
Colton J. F. Watson, Aindriu R. R. Maguire, Melissa M. Rouillard, Robert W. E. Crozier, Michael Yousef, Kelly Bruton, Val A. Fajardo, Adam J. MacNeil

Bibliographic record

VenueThe FASEB Journal · 2020
Typearticle
Languageen
FieldImmunology and Microbiology
TopicMast cells and histamine
Canadian institutionsMcMaster UniversityBrock University
Fundersnot available
KeywordsDegranulationImmunoglobulin EMast cellAllergic inflammationImmunologyInflammationAllergyChemistrySignal transductionMAPK/ERK pathwayCell biologyBiologyReceptorAntibodyBiochemistry

Abstract

fetched live from OpenAlex

Allergic inflammatory disorders are at epidemic levels worldwide. Mast cells drive this inappropriate immune response via release of a variety of pro‐inflammatory mediators in response to environmental cues detected by the IgE‐FcɛRI complex, but the contributing molecular mechanisms are not fully understood. Transforming growth factor β‐activated kinase 1 (TAK1) is a known participant in related signaling through both the MAPK and NFκB pathways; however, the role of TAK1 in IgE‐FcɛRI mediated signaling and resultant allergic inflammation remains unknown. This study was carried out to assess the role of TAK1 in IgE‐mediated mast cell activation and to determine the effect its inhibition would have on the severity of an allergic inflammatory response. Assessment of the role of TAK1 was conducted by exploiting the characterized inhibitory function of 5Z‐7‐oxozeaenol (OZ), a resorcylic acid lactone established to be an ATP‐competitive selective inhibitor of TAK1. Bone marrow‐derived mast cells were sensitized with allergen‐specific IgE and treated with the corresponding allergen for various times in the presence or absence of OZ. Mast cell signaling was measured by western blotting, induced gene expression by qPCR, pro‐inflammatory mediator release by ELISA, mast cell degranulation by β‐hexosaminidase release assay, and calcium mobilization alterations via Indo‐1 based spectrofluorometry. We detect novel activation of TAK1 at Ser412 in response to IgE‐mediated activation under SCF‐c‐kit potentiation in a mast cell‐driven response characteristic of allergic inflammation, which is potently blocked by TAK1 inhibitor OZ. We therefore interrogated the role of TAK1 in a series of mast cell mediator responses using IgE‐sensitized murine bone marrow‐derived mast cells, stimulated with allergen under several TAK1 inhibition strategies. TAK1 inhibition resulted in significant impairment in the phosphorylation of MAPKs p38, ERK, and JNK; and mediation of the NFκB pathway via IκBα. Impaired gene expression and near abrogation in release of pro‐inflammatory cytokines TNF (p<0.0001), IL‐6 (p<0.0001), IL‐13 (p<0.0001), and chemokines CCL1 (p=0.0002), and CCL2 (p<0.0001) was detected. Finally, a significant inhibition of mast cell degranulation (p<0.0001), accompanied by an impairment in calcium mobilization, was observed in the TAK1‐inhibited cells. These results suggest that TAK1 acts as a signaling node, not only linking the MAPK and NFκB pathways in driving the late‐phase response, but also initiation of the degranulation mechanism of the mast cell early‐phase response following allergen recognition and may warrant consideration in future therapeutic development. Support or Funding Information Funding: This work was supported by the Natural Sciences and Engineering Research Council (NSERC), the Canada Foundation for Innovation (CFI), the Ontario Research Fund (ORF), and Ontario Graduate Scholarships.

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 score0.022
Threshold uncertainty score0.072

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0220.007

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 head0.011
GPT teacher head0.196
Teacher spread0.185 · 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".

Quick stats

Citations0
Published2020
Admission routes2
Has abstractyes

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