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Record W3197536993 · doi:10.1186/s12974-021-02241-9

Asthmatic allergen inhalation sensitises carotid bodies to lysophosphatidic acid

2021· article· en· W3197536993 on OpenAlexafffund
Nicholas Jendzjowsky, Arijit Roy, Richard J. A. Wilson

Bibliographic record

VenueJournal of Neuroinflammation · 2021
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience of respiration and sleep
Canadian institutionsAlberta Children's HospitalUniversity of Calgary
FundersAlberta InnovatesCanadian Health Services Research FoundationFrancis Family Foundation
KeywordsLysophosphatidic acidOvalbuminAsthmaAllergenBronchoconstrictionReflexMedicineTRPV1ImmunologyInhalationTransient receptor potential channelAllergyReceptorInternal medicineImmune systemAnesthesia

Abstract

fetched live from OpenAlex

The carotid bodies are multimodal sensors that regulate various autonomic reflexes. Recent evidence demonstrates their role in immune reflex regulation. Our previous studies using the allergen (ovalbumin) sensitised and exposed Brown Norway rat model of asthma suggest that carotid bodies mediate asthmatic bronchoconstriction through a lysophosphatidic acid (LPA) receptor (LPAr)-protein kinase C epsilon (PKCε)-transient receptor potential vanilloid one channel (TRPV1) pathway. Whilst naïve carotid bodies respond to LPA, whether their response to LPA is enhanced in asthma is unknown. Here, we show that asthmatic sensitisation of Brown Norway rats involving repeated aerosolised allergen challenges over 6 days, results in an augmentation of the carotid bodies' acute sensitivity to LPA. Increased expression of LPAr in the carotid bodies and petrosal ganglia likely contributed to this sensitivity. Importantly, allergen sensitisation of the carotid bodies to LPA did not alter their hypoxic response, nor did hypoxia augment LPA sensitivity acutely. Our data demonstrate the ability of allergens to sensitise the carotid bodies, highlighting the likely role of the carotid bodies and blood-borne inflammatory mediators in asthma.

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)0.004
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.555

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.032
GPT teacher head0.273
Teacher spread0.241 · 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 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

Citations15
Published2021
Admission routes2
Has abstractyes

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