Impaired function of regulatory T-cells in hypersensitivity pneumonitis
Bibliographic record
Abstract
Hypersensitivity pneumonitis (HP) is characterised by lung lymphocytosis. Most individuals exposed to HP antigens remain asymptomatic. The mechanisms involved in the impaired immune tolerance leading to HP are unclear. Normally, T-regulatory (Treg)-cells control the immune response. The aim of the present study was to determine whether Treg-cell suppressive function deficiency can explain the uncontrolled inflammation in HP. Bronchoalveolar lavage (BAL) and blood samples were obtained from normal subjects, asymptomatic individuals and HP patients. BAL and blood Treg-cells were isolated. The ability of Treg-cells to suppress T-cell proliferation and the role of interleukin (IL)-17 was verified. BAL and blood Treg-cells from normal subjects suppressed the proliferative response of activated T-cells by 47.1 and 42%, respectively. BAL and blood Treg-cells from asymptomatic subjects had a slightly decreased activity and suppressed proliferation by 29.4 and 31.8%, respectively. BAL and blood Treg-cells from HP patients were totally nonfunctional and unable to suppress proliferation. Low levels of IL-17 were detected in sera and BAL from both normal and asymptomatic individuals, whereas measurable levels were found in patients. Treg-cells may be involved in antigen tolerance in asymptomatic subjects. Defective Treg-cell function, potentially caused by increased IL-17 production, could account for the exacerbated immune response characteristic of HP.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".