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Forkhead box P3+ T cells express interleukin-17 in nasal mucosa of patients with both allergic rhinitis and polyposis

2010· article· en· W1542961153 on OpenAlexafffund
T Liu, C-H Song, A.‐M. Liu, Cong Xie, Fei Zhao, X Chen, L Cheng

Bibliographic record

VenueClinical & Experimental Immunology · 2010
Typearticle
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsMcMaster University
FundersCanadian Institutes of Health Research
KeywordsFOXP3Nasal polypsImmunologyMucous membrane of noseMedicineImmune systemPathology

Abstract

fetched live from OpenAlex

The pathogenesis of nasal polyposis remains unclear; it severely affects patients' quality of life and complicates inflammation in adjacent organs such as sinusitis and asthma. Aberrant immune regulatory function in these patients is proposed. The present study aims to examine the regulatory T cells (T(reg) ) in nasal mucosa of patients with allergic rhinitis (AR) and nasal polyposis (NP). Patients with AR or AR/NP were treated with inferior turbinectomy for their inferior turbinate hyperplasia. Surgically removed nasal mucosa was collected to examine the T(reg) by immunohistochemistry and flow cytometry. The results showed that more forkhead box P3 (FoxP3)(+) cells were found in AR with polyps than in those with AR alone. Further studies revealed that these FoxP3(+) T cells from AR/NP group also expressed interleukin (IL)-17. In vitro study showed that staphylococcal enterotoxin B (SEB) induced CD4(+) FoxP3(+) T cells to become FoxP3(+) IL-17(+) cells via facilitating the expression of IL-6, that in synergy with transforming growth factor-beta, induce the expression of IL-17 in FoxP3(+) cells. We conclude that FoxP3(+) IL-17(+) T cells were localized in the nasal mucosa of patients with AR and NP. SEB may play a role in converting FoxP3(+) T(reg) to FoxP3(+) IL-17(+) T cells. The presence of IL-17(+) FoxP3(+) T cells may play a role in the remodelling of the nasal airways in certain people who develop polyps, irrespective of whether or not they are atopic.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.161
Threshold uncertainty score0.657

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
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 head0.014
GPT teacher head0.318
Teacher spread0.303 · 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 designObservational
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

Citations36
Published2010
Admission routes2
Has abstractyes

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