The Immunopathogenesis of Chronic Obstructive Pulmonary Disease: Insights from Recent Research
Bibliographic record
Abstract
Chronic obstructive pulmonary disease (COPD) progression is characterized by accumulation of inflammatory mucous exudates in the lumens of small airways, and thickening of their walls, which become infiltrated by innate and adaptive inflammatory immune cells. Infiltration of the airways by polymorphonuclear and mononuclear phagocytes and CD4 T cells increases with COPD stage, but the cumulative volume of the infiltrate does not change. By contrast, B cells and CD8 T cells increase in both the extent of their distribution and in accumulated volume, with organization into lymphoid follicles. This chronic lung inflammation is also associated with a tissue repair and remodeling process that determines the ultimate pathologic phenotype of COPD. Why these pathologic abnormalities progress in susceptible individuals, even after removal of the original noxious stimuli, remains mysterious. However, important clues are emerging from analysis of pathologic samples from patients with COPD and from recent discoveries in basic immunology. We consider the following relevant information: normal limitations on the innate immune system's ability to generate adaptive pulmonary immune responses and how they might be overcome by tobacco smoke exposure; the possible contribution of autoimmunity to COPD pathogenesis; and the potential roles of ongoing lymphocyte recruitment versus in situ proliferation, of persistently activated resident lung T cells, and of the newly described T helper 17 (Th17) phenotype. We propose that the severity and course of acute exacerbations of COPD reflects the success of the adaptive immune response in appropriately modulating the innate response to pathogen-related molecular patterns ("the Goldilocks hypothesis").
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 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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| 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".