Emergence of a senescent and inflammatory pulmonary CD4 <sup>+</sup> T cell population prior to lung allograft failure
Bibliographic record
Abstract
Survival after lung transplantation is limited by chronic lung allograft dysfunction (CLAD), an alloimmune fibrotic process leading to death or retransplantation after a median of 6 years. Immunosuppression fails to prevent CLAD, suggesting the existence of drug-resistant alloimmune pathways. We used time-of-flight mass cytometry to identify cells enriched in the bronchoalveolar lavage of patients with subsequent acute lung allograft dysfunction (ALAD), a risk factor for CLAD. We show that CD4 + CD57 + PD1 + T cells emerge in stable patients, conferring risks for ALAD, CLAD, and death. These cells are senescent, secrete inflammatory cytokines, and fall into two oligoclonal subsets with putative cytotoxic and follicular helper functions. Last, they are associated with fibrosis in mouse and human lung allografts, where they localize near airway epithelium and B cells. Together, our findings reveal an inflammatory T cell population that predicts future lung allograft dysfunction and may represent a rational therapeutic target.
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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 | 0.000 |
| 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) | 0.002 | 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".