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Record W3095357012 · doi:10.18433/jpps31228

Effects of anti-allergy drugs on Th1 cell and Th2 cell development mediated by Langerhans cells

2020· article· en· W3095357012 on OpenAlexvenueno aff
Katsuhiko Matsui, Xiaolei Shi, Sayuko Komori, Atsumi Higuchi

Bibliographic record

VenueJournal of Pharmacy & Pharmaceutical Sciences · 2020
Typearticle
Languageen
FieldImmunology and Microbiology
TopicMast cells and histamine
Canadian institutionsnot available
FundersJapan Society for the Promotion of Science
KeywordsImmunologyImmunoglobulin EHistamineHistamine receptorOvalbuminCytokineImmune systemPharmacologyLangerhans cellMedicineReceptorBiologyAntibodyInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: It is well known that Langerhans cells (LCs) work as the primary orchestrators in polarization towards T helper type 1 (Th1) or T helper type 2 (Th2) immune responses. In this study, we examined the effects of various anti-allergy drugs against the Th2 cell development by LCs. METHODS: The expression of cell surface molecules on LCs was investigated using reverse transcriptase polymerase chain reaction. The effects of anti-allergy drugs on T-cell immunoglobulin and mucin domain-containing protein (TIM)-4 expression in LCs were examined to predict whether they would inhibit Th2 cell development. Next, mice were primed via the hind footpad with ovalbumin (OVA)-pulsed LCs that had been treated with selected anti-allergy drugs. After 5 days, the cytokine response in the popliteal lymph nodes was investigated by enzyme-linked immunosorbent assay. The therapeutic effects of a selected drug on atopic dermatitis (AD) were assessed using AD-like skin lesions of NC/Nga mice. RESULTS: The first-generation histamine H1 receptorantagonists, cyproheptadine and promethazine, and the second-generation histamine H1 receptor antagonists, emedastine and loratadine, were selected as candidate inhibitors of Th2 cell development. As expected, OVA peptide-pulsed LCs that had been treated with each drug and injected into the hind footpads of mice inhibited Th2 cell development, as represented by down-regulation of interleukin (IL)-4 production. Furthermore, the LCs that had been treated withemedastine also inhibited Th1 cell development, as represented by down-regulation of interferon (IFN)-g production. This additional inhibition of Th1 cell development was accompanied by suppression of CD40 expression in LCs. Therefore, the therapeutic effect of emedastine on AD was examined. Topical application of emedastine significantly suppressed the increase in the skin severity score in NC/Nga mice with AD-like skin lesions. This suppressive effect was associated with a decrease in the production of IFN-g and IL-4 in auricular lymph node cells. CONCLUSIONS: These results suggest that topical application of emedastine to skin lesions of patients with AD may provide clinical benefits through the inhibition of both Th1 cell and Th2 cell development mediated by LCs.

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)0.000
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.353
Threshold uncertainty score0.878

Codex and Gemma teacher scores by category

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)0.0010.000

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 head0.021
GPT teacher head0.285
Teacher spread0.264 · 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

Citations9
Published2020
Admission routes1
Has abstractyes

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