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Record W2288589126

Frequency of Th1, Th2 and Th17 producing T lymphocytes in bronchoalveolar lavage of patients with systemic sclerosis.

2010· article· en· W2288589126 on OpenAlexaff
Federica Meloni, Nadia Solari, Lorenzo Cavagna, Monica Morosini, Carlomaurizio Montecucco, A. Fietta

Bibliographic record

VenuePubMed · 2010
Typearticle
Languageen
FieldMedicine
TopicSystemic Sclerosis and Related Diseases
Canadian institutionsUniversity Hospital Foundation
Fundersnot available
KeywordsMedicineBronchoalveolar lavageSarcoidosisInterstitial lung diseasePathophysiologyIdiopathic pulmonary fibrosisPathogenesisUsual interstitial pneumoniaPulmonary fibrosisLungImmunologyFibrosisPathologyInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: The pathophysiology of the lung fibrotic process in systemic sclerosis (SSc) is not fully elucidated. Since this pattern represents the leading cause of death in SSc, the knowledge of its actual pathophysiology is basic to prevent and stage pulmonary damage. In this study, we aimed to further investigate the relationship between the functional profiles of bronchoalveolar lavage (BAL) T cells and the pulmonary manifestation of the disease. METHODS: With this aim, we assessed the frequency of Th1, Th2 and Th17 producing T-lymphocytes and their effector cytokines in BAL of SSc patients without signs or symptoms of lung interstitial involvement (SScFib-) and with interstitial lung fibrosis (SScFib+). We also study as control groups: patients with usual interstitial pneumonia (UIP), patients with sarcoidosis and 9 healthy controls (NHCs). RESULTS: SScFib- showed an increase in BAL Th1/Th2 balance compared to NHCs, which was even higher than that observed in sarcoidosis. SScFib+ showed a shift towards a lower Th1/Th2 ratio as compared to SScFib-. The frequency of Th17 BAL T cells did not change among study groups. CONCLUSION: Our data confirm the Th1/Th2 imbalance hypothesis on the pathogenesis of interstitial fibrosis in SSc patients, and suggest a possible utility in the assessment of BAL Th1/Th2 ratio.

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 score0.009
Threshold uncertainty score0.377

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)0.0000.000

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 head0.011
GPT teacher head0.184
Teacher spread0.173 · 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

Citations56
Published2010
Admission routes1
Has abstractyes

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