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Carnosic acid inhibits mast cell pro‐inflammatory mediator release in allergic inflammation

2020· article· en· W3017365632 on OpenAlexaffabout
Robert W. E. Crozier, Michael Yousef, Evangelia Tsiani, Adam J. MacNeil

Bibliographic record

VenueThe FASEB Journal · 2020
Typearticle
Languageen
FieldImmunology and Microbiology
TopicMast cells and histamine
Canadian institutionsBrock University
Fundersnot available
KeywordsInflammationDegranulationMast cellImmune systemAllergic inflammationImmunoglobulin EImmunologyAllergyCarnosic acidMediatorChemistryHistaminePharmacologyMedicineBiologyCell biologyBiochemistryAntioxidantAntibodyReceptor

Abstract

fetched live from OpenAlex

Over the past several decades, developed countries have been plagued by the increasing prevalence of allergic disorders. This allergy epidemic has led to an exponential increase in health care‐associated costs, while significantly deteriorating quality of life for those affected. Allergic inflammation is a consequence of an excessive and undesirable immune response towards environmental allergens, mediated by immune sentinels known as mast cells. Mast cells are ubiquitously distributed in vascularized tissues, where they play an essential role in host defence, in addition to pathological contexts of inflammation. Allergen detection by the immune system results in IgE‐mediated mast cell activation, characterized by rapid degranulation during the early phase, and sustained release of newly synthesized pro‐inflammatory mediators in the late phase. Plant derived micronutrients, known as polyphenols, have been explored as therapeutic options in pathological models, due to the modulatory effects they have on pro‐inflammatory mediator release. We have recently established rosemary extract (RE); a mixture abundant in polyphenolic compounds, as a potent inhibitor of mast cell mediated allergic inflammation, through attenuation of essential signalling cascades required for pro‐inflammatory mediator secretion. The objective of this study was to evaluate the therapeutic potential of three major polyphenolic constituents of RE including: carnosic acid (CA), carnosol (CO), and rosmarinic acid (RA), assessing the ability of isolated polyphenols to inhibit pro‐inflammatory mediator release following mast cell activation. Bone marrow‐derived mast cells (BMMCs) were sensitized with IgE and stimulated with allergen, while simultaneously treated with various concentrations of CA, CO, or RA. Mast cell degranulation was measured via the β‐hexosaminidase release assay, while late phase pro‐inflammatory mediator release was quantified by enzyme‐linked immunosorbent assay. Following individual treatment with CA and CO, β‐hexosaminidase release was significantly inhibited dose‐dependently to 14% and 17% of control respectively (p < 0.001), while RA had no effect on β‐hexosaminidase release. ELISA analysis showed that CA significantly inhibited release of TNF (p<0.0001), IL‐6 (p<0.0001), IL‐13 (p<0.0001), CCL1 (p<0.001), and CCL2 (p<0.05), RA inhibited CCL2 (p<0.05), and treatment with CO did not inhibit the release of any cytokine examined. These results suggest that CA is a potent inhibitor of both the early and late phase of allergen‐induced mast cell activation. Further dissection of the mechanism behind CA mediated modulation of essential mast cell signalling and subsequent pro‐inflammatory mediator release will inform on its utility in regulation of mast cell function in numerous mast cell‐dependent inflammatory disorders. Support or Funding Information Supported by the Natural Sciences and Engineering Research Council of Canada (NSERC); Canada Foundation for Innovation (CFI); Government of Ontario; and Brock University.

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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.011
GPT teacher head0.192
Teacher spread0.181 · 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
Published2020
Admission routes2
Has abstractyes

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