CD8+ T lymphocytes in bronchoalveolar lavage in idiopathic pulmonary fibrosis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Recently it was shown that in Idiopathic Pulmonary Fibrosis (IPF) tissue infiltrating CD8+ T lymphocytes (TLs) are associated with breathlessness and physiological indices of disease severity, as well as that CD8+ TLs recovered by bronchoalveolar lavage (BAL) relate to those infiltrating lung tissue. Since BAL is a far less invasive technique than tissue biopsy to study mechanisms in IPF we further investigated the usefulness offered by this means by studying the relationship between BAL macrophages, neutrophils, eosinophils, CD3+, CD4+, CD8+, CD8+/38+ TLs and CD4+/CD8+ ratio with breathlessness and physiological indices. PATIENTS AND METHODS: 27 IPF patients, 63 +/- 9 years of age were examined. Cell counts were expressed as percentages of total cells and TLs were evaluated by flow cytometry. FEV1, FVC, TLC, RV, DLCO, PaO2, and PaCO2 were measured in all. Breathlessness was assessed by the Medical Research Council (MRC) chronic dyspnoea scale. RESULTS: CD8+ TLs correlated positively (rs = 0.46, p = 0.02), while CD4+/CD8+ ratio negatively (rs = -0.54, p = 0.006) with the MRC grade. CD8+ TLs correlated negatively with RV (rs = -0.50, p = 0.017). CD8+/38+ TLs were negatively related to the FEV1 and FVC (rs = -0.53, p = 0.03 and rs = -0.59, p = 0.02, respectively). Neutrophils correlated positively with the MRC grade (rs = 0.42, p = 0.03), and negatively with the DLCO (rs = -0.54, p = 0.005), PaO2 (rs = -0.44, p = 0.03), and PaCO2 (rs = -0.52, p = 0.01). CONCLUSION: BAL CD8+ TLs associations with physiological and clinical indices seem to indicate their implication in IPF pathogenesis, confirming our previous tissue study.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.000 | 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 it