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Record W4410277138 · doi:10.1080/24745332.2026.2655670

Altered Peripheral γδT Cell Profiles With Increased IL-17A Secretion in Patients With Eosinophilic Granulomatosis With Polyangiitis

2025· article· en· W4410277138 on OpenAlexafffund
N.S. Tan, Kate Miyasaki, Beom Kyung Kim, C. Venegas Garrido, Chynna Huang, Melanie Kjarsgaard, Yongjie Xie, Katherine Radford, Terence Ho, J.F. Koenig, Manel Jordana, Jonathan L. Bramson, Roma Sehmi, Nader Khalidi

Bibliographic record

VenueCanadian Journal of Respiratory Critical Care and Sleep Medicine · 2025
Typearticle
Languageen
FieldMedicine
TopicEosinophilic Esophagitis
Canadian institutionsSt. Joseph’s Healthcare HamiltonMcMaster University
FundersCanadian Allergy, Asthma and Immunology Foundation
KeywordsMedicineGranulomatosis with polyangiitisEosinophilicPeripheralSecretionPathologyImmunologyInternal medicineVasculitisDisease

Abstract

fetched live from OpenAlex

Abstract Rationale: Eosinophilic Granulomatosis with Polyangiitis (EGPA) is an autoimmune vasculitic disorder, often characterized by severe asthma and blood eosinophilia, with serum anti-neutrophil cytoplasmic antibody (ANCA) observed in 40% of cases. γδ T cells are unconventional lymphocytes with innate-like functions, capable of recognizing antigens directly. These cells have been implicated in autoimmune diseases, such as multiple sclerosis, where early IL-17 secretion from γδ T cells promotes Th17 cell activation (PMID: 31505409). In a mouse model of ANCA-associated vasculitis, IL-17A-secreting γδ T cells drive the development of ANCA-specific CD4 T cells (PMID: 28954887). This study assessed cytokine-secreting T cells, particularly γδ T cells, in the peripheral blood and sputum of patients with asthma and EGPA, compared to healthy controls. Methods: Peripheral blood mononuclear cells (PBMCs) and sputum samples were collected from EGPA (n=20, mean age: 57 ±14 years, 57% female, mean OCS dose: 5 mg/d), moderate-to-severe asthma (n=18, age: 58 ±12 years, 60% female, mean OCS dose: 3 mg/d), and healthy controls (n=54, age: 47 ±18 years, 67% female). T cell populations, including helper (CD4+), cytotoxic (CD8+), and γδ T cells, were analyzed by flow cytometry, along with exhaustion markers (EOMES, PD-1) and the Th1 transcription factor T-bet. Cytokine secretion was evaluated after a 4-hour stimulation of PBMCs with phorbol 12-myristate 13-acetate, ionomycin, and brefeldin A. Results: Peripheral γδ T cell frequencies were significantly reduced in both asthma and EGPA patients compared to healthy controls (p<0.01, Fig 1A). PD-1 expressing γδT cells was markedly higher in EGPA patients compared to healthy controls (p<0.01, Fig 1C). Upon stimulation, EGPA patients showed an increased proportion of IL-17A secreting γδT cells, a pro-inflammatory cytokine, compared to healthy controls (p<0.05, Fig 1D). IL-17A secretion was not significantly different in CD4+ and CD8+ T cells. Furthermore, there was no association between T cell populations and serum or sputum ANCA levels. No significant differences were observed in T cell populations from sputum samples across asthma, EGPA, and healthy controls (Fig 1B). Conclusion: This study reveals a distinct alteration in peripheral γδT cell profiles in patients with EGPA, characterized by a reduced frequency but increased IL-17A secretion. Elevated PD-1 expression further suggests a state of γδT cell exhaustion in EGPA, which may contribute to the autoimmune pathology and chronic inflammation observed in these patients. These insights into γδT cell dysregulation in EGPA highlight potential immune pathways that warrant further investigation.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.006
GPT teacher head0.234
Teacher spread0.227 · 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

Citations0
Published2025
Admission routes2
Has abstractyes

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