Histamine may induce airway remodeling through release of epidermal growth factor receptor ligands from bronchial epithelial cells
Bibliographic record
Abstract
Asthma is a chronic inflammatory disease that is associated with airway remodeling, including hyperplasia of airway epithelial cells and airway smooth muscle cells, and goblet cell differentiation. We wished to address the potential role of histamine, a key biogenic amine involved in allergic reactions, in airway remodeling through the epidermal growth factor receptor (EGFR) pathway. Here, we demonstrate that histamine releases 2 EGFR ligands, amphiregulin and heparin‐binding epidermal growth factor‐like growth factor (HB‐EGF), from airway epithelial cells. Amphiregulin and HB‐EGF were expressed in airway epithelium of patients with asthma. Histamine up‐regulated their mRNA expression (amphiregulin 3.2‐fold, P < 0.001; HB‐EGF 2.3‐fold, P <0.05) and triggered their release (amphiregulin EC 50 0.50 μM, 31.2±2.7 pg/ml with 10 μM histamine, P <0.01; HB‐EGF EC 50 0.54 μM, 78.5±1.8 pg/ml with 10 μM histamine, P <0.001) compared to vehicle control (amphiregulin 19.3±0.9 pg/ ml; HB‐EGF 60.2± 1.0 pg/ml), in airway epithelial cells. Histamine increased EGFR phosphorylation (2.1‐fold by Western blot analysis) and induced goblet cell differentiation (CLCA1 up‐regulation by real‐time qPCR) in normal human bronchial epithelial (NHBE) cells. Moreover, amphiregulin and HB‐EGF caused proliferation and migration of both NHBE cells and human airway smooth muscle cells. These results suggest that histamine may induce airway remodeling via the epithelial‐derived EGFR ligands amphiregulin and HB‐EGF.—Hirota, N., Risse, P.‐A., Novali, M., McGovern, T., Al‐Alwan, L., McCuaig, S., Proud, D., Hayden, P., Hamid, Q., Martin, J. G. Histamine may induce airway remodeling through release of epidermal growth factor receptor ligands from bronchial epithelial cells. FASEB J. 26, 1704‐1716 (2012). www.fasebj.org
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 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 | 0.000 | 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 | 0.001 |
| 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 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".