Cross-talk between coagulation and inflammation in COPD. The role of Factor XIII
Bibliographic record
Abstract
Background: Components of the coagulation system, such as fibrin polymerization, may markedly modulate inflammatory processes. Factor XIII (FXIII), a protein responsible for fibrin polymerization, is modulated by CXCR3, an immune amplifier receptor that is upregulated in COPD, suggesting that FXIII might be a proinflammatory factor in COPD. Aim: To investigate whether the FXIII-CXCR3 complex is involved in the inflammatory process of COPD. Methods: In lung specimens from 22 smokers with COPD (COPD) [FEV1:55±15(%)], 14 smokers without COPD (noCOPD) and 11 nonsmokers (NS), the expression of FXIII and CXCR3 and the number of CD8+Tcells were quantified by immunohistochemistry in alveolar macrophages (FXIII+AM%), in the alveolar walls (FXIII+cells/mm and CD8+Tcells/mm) and in lung tissue (CXCR3+cells/mm2). Results: FXIII+AM were increased in COPD [75(25-98)%] compared to noCOPD [45(21-97) p=0.04)] and NS [20(0-5) p=0.0001]. In the alveolar walls, FXIII and CD8+Tcells were increased in COPD [4(1-8) FXIII+cell/mm, 7(1-13) CD8+Tcell/mm] compared to NS [1(0-4) FXIII+cell/mm, 3(1-3) CD8+Tcell/mm; p<0.05]. This pattern was paralleled by CXCR3 expression in lung tissue, that was increased in COPD [44(5-100) cell/mm2] and noCOPD [35(25-50)] compared to NS [9(8-32) p<0.05], and was related to FXIII expression (p=0.01). FXIII expression was inversely related to FEV1/FVC(%) (r=-0.46 p=0.006). Conclusion: FXIII, an important coagulation factor, is upregulated in COPD and related to CXCR3 expression and to severity of airflow obstruction, suggesting that it could be implicated in the mechanisms leading to lung inflammation in COPD.
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 | 0.000 | 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".