Role of natriuretic peptide signaling in modulating asthma and inflammationThis article is one of a selection of papers published in the Special Issue on Recent Advances in Asthma Research.
Bibliographic record
Abstract
Atrial natriuretic peptide (ANP), the C-terminal peptide comprising residues 99-126 of the pro-ANP hormone, has been studied for 3 decades for its cardiovascular effects. Recent reports suggest that it plays a significant role in modulation of the immune system. Immune cells, including macrophages, dendritic cells, and T lymphocytes, express receptors for ANP. ANP plays a significant role in shaping the early immune response to environmental antigens and may play a critical role in the interaction between cells of the innate and adaptive immune systems; it also appears to be involved in polarizing the immune response to allergens. Thus, ability to alter the magnitude of natriuretic peptide receptor A (NPRA) signaling could be exploited to develop therapeutics for several allergic diseases, including asthma. This report will review and critically evaluate the role of the ANP pathway in asthma and inflammation.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
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".