Acute lung injury is reduced by the α7nAChR agonist PNU‐282987 through changes in the macrophage profile
Bibliographic record
Abstract
Nicotinic α‐7 acetylcholine receptor (nAChRα7) is a critical regulator of cholinergic anti‐inflammatory actions in several diseases, including acute respiratory distress syndrome(ARDS). Given the potential importance of α7nAChR as a therapeutic target, we evaluated whether PNU‐282987, an α7nAChR agonist, is effective in protecting the lung against inflammation. We performed intratracheal instillation of LPS to generate acute lung injury (ALI) in C57BL/6 mice. PNU‐282987 treatment, either before or after ALI induction, reduced neutrophil recruitment and IL‐ 1β, TNF‐α, IL‐6, keratinocyte chemoattractant (KC), and IL‐10 cytokine levels in the bronchoalveolar lavage fluid ( P > 0.05). In addition, lung NF‐κB phosphorylation decreased, along with collagen fiber deposition and the number of matrix metalloproteinase‐9 + and −2 + cells, whereas the number of tissue inhibitor of metalloproteinase‐1+ cells increased ( P < 0.05). PNU‐282987 treatment also reduced lung mRNA levels and the frequency of M1 macrophages, whereas cells expressing the M2‐related markers CD206 and IL‐10 increased, suggesting changes in the macrophage profile. Finally, PNU‐282987 improved lung function in LPS‐treated animals. The collective results suggest that PNU‐282987, anagonist of α7nAChR, reducesLPS‐induced experimental ALI, thus supporting the notion that drugs that act on α7nAChRs should be explored for ARDS treatment in humans.—Pinheiro, N. M., Santana, F. P. R., Almeida, R. R., Guerreiro, M., Martins, M.A., Caperuto, L.C., Câmara, N.O.S., Wensing, L.A., Prado, V. F., Tibério, I. F. L. C., Prado, M.A.M., Prado, C. M. Acute lung injury is reduced by the α7nAChR agonist PNU‐282987 through changes in the macrophage profile. FASEB J. 31, 320–332 (2017) www.fasebj.org
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How this classification was reachedexpand
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 | 0.001 | 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 | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".