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IL‐11 and IL‐17 expression in nasal polyps: Relationship to collagen deposition and suppression by intranasal fluticasone propionate

2003· article· en· W2120760544 on OpenAlexaff
Sophie Molet, Qutayba Hamid, Daniel L. Hamilos

Bibliographic record

VenueThe Laryngoscope · 2003
Typearticle
Languageen
FieldMedicine
TopicSinusitis and nasal conditions
Canadian institutionsMcGill UniversityChristie (Canada)
Fundersnot available
KeywordsFluticasone propionateMedicineFluticasonePathologySinusitisCytokineFibrosisAnalysis of varianceNasal glandsNasal polypsInternal medicineMucous membrane of noseImmunologyCorticosteroid

Abstract

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OBJECTIVES/HYPOTHESIS: Chronic hyperplastic sinusitis (CHS) with nasal polyps (NP) is characterized by extensive mucosal thickening, goblet cell hyperplasia, and subepithelial fibrosis. These features are described to be part of remodeling in the lower airways. The cytokines interleukin (IL)-11 and IL-17 are believed to play a role in lower airway remodeling, but there has been very little work so far examining these cytokines and their relationship to fibrosis in CHS/NP. The aims of this study were to examine the deposition of collagens types I, III, and V in CHS/NP, evaluate the relationship of collagen deposition to expression of IL-11 and IL-17, and to examine the effect of treatment with intranasal fluticasone on these features. STUDY DESIGN: Sixteen subjects were included in this double-blind, placebo-controlled study. NP biopsies were obtained at the baseline and after 4 weeks of treatment with intranasal fluticasone propionate (FP, Flonase) or placebo. Normal control middle turbinate biopsies from eight nonallergic subjects without sinusitis were used as a control for cytokine and collagen expression. METHODS: Tissues were assessed for deposition of collagen types I, III, and V using immunocytochemistry. The expression of the cytokines IL-11 and IL-17 was examined by immunostaining or in situ hybridization. The pre- to posttreatment results were analyzed using paired t test, and the magnitude of changes were estimated using one-way analysis of variance (ANOVA) statistical test followed by least significance difference post hoc comparisons of means. RESULTS: Compared with normal control nasal turbinate tissues, collagen types I, III, and V were increased in all NP tissues, with a predominance of types III and V. Collagen deposition was most abundant in the submucosal connective tissue and in the basement membrane zone. FP treatment had no significant effect on deposition of any collagen type. Expression of IL-11 and IL-17 was also greatly increased in NP compared with control nasal turbinate tissues. IL-11 expression was observed in both inflammatory cells and the epithelium, whereas IL-17 expression was primarily associated with inflammatory cells. In the pretreatment NP, a correlation was found between the presence of IL-11 and collagen type I (r = 0.59, P =.02) and also between IL-17 and both CD4+ and CD8+ T lymphocytes (r = 0.52, P =.05; r = 0.60, P =.02, respectively). Treatment with FP significantly reduced IL-11 expression in subepithelial inflammatory cells and in the epithelial compartment. In contrast, although IL-17 expression was reduced by FP, this effect did not reach statistical significance. CONCLUSION: NP manifest an increased expression of collagen types III, V, and I and an increase in profibotic cytokines IL-11 and IL-17. A correlation exists between deposition of collagen type I and expression of IL-11, suggesting a possible role for IL-11 in NP remodeling. Collagen deposition was not reversed by FP treatment, whereas IL-11 expression was suppressed. These results are consistent with a partial insensitivity of NP to FP treatment but also suggest that longer-term treatment or perhaps earlier intervention with FP might reduce proinflammatory cytokine signals and ultimately have a beneficial effect in preventing airway remodeling in NP.

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: Observational · Consensus signal: none
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)0.0000.000
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 head0.015
GPT teacher head0.271
Teacher spread0.256 · 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 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

Citations93
Published2003
Admission routes1
Has abstractyes

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