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Record W1476432421 · doi:10.1097/md.0000000000001050

T-Helper Type 9 Cells Play a Central Role in the Pathogenesis of Respiratory Epithelial Adenomatoid Hamartoma

2015· article· en· W1476432421 on OpenAlexaff
Zhao Wei Gu, Yun Xiu Wang, Zhi Cao

Bibliographic record

VenueMedicine · 2015
Typearticle
Languageen
FieldMedicine
TopicHead and Neck Surgical Oncology
Canadian institutions123 Certification (Canada)
FundersShengjing HospitalChina Medical UniversityNational Natural Science Foundation of China
KeywordsPathogenesisMedicineFlow cytometryT helper cellInterleukin 9PathologyInterleukinMessenger RNAImmunologyT cellCytokineBiologyImmune systemGene

Abstract

fetched live from OpenAlex

The etiology and pathogenesis of respiratory epithelial adenomatoid hamartoma (REAH) remain poorly understood, although some reports have suggested that REAH features an inflammatory process. T-helper type 9 (Th9) cells are a newly identified subset of CD4 T-helper cells characterized by the expression of high levels of interleukin (IL)-9, which may promote inflammation. As REAH may involve an inflammatory process, we evaluated whether IL-9 and/or Th9 cells were present in REAH and compared the levels thereof to those of normal nasal mucosa. Eleven patients with REAH and 5 exhibiting cerebrospinal fluid leakage were included in the study. Flow cytometry was used to measure Th9 cell numbers, a cytometric bead assay was applied to measure IL-9 levels, and real-time polymerase chain reaction was used to quantify the levels of mRNA encoding IL-9. Th9 cells, IL-9 mRNA, and IL-9 were detected in all REAH and control samples. The proportion of Th9 cells in the patients with REAH was significantly greater than that in the controls. The expression levels of IL-9-encoding mRNA and IL-9 protein were significantly higher in the patients with REAH than in the controls. The Th9 cell subset was expanded, the synthesis of IL-9-encoding mRNA was upregulated, and IL-9 secretion was increased in REAH tissue, suggesting that Th9 cells play a central role in the pathogenesis of the disease.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.705
Threshold uncertainty score0.345

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.041
GPT teacher head0.302
Teacher spread0.261 · 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

Citations11
Published2015
Admission routes1
Has abstractyes

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