Thymic Stromal Lymphopoietin Receptor-Mediated IL-6 and CC/CXC Chemokines Expression in Human Airway Smooth Muscle Cells: Role of MAPKs (ERK1/2, p38, and JNK) and STAT3 Pathways
Bibliographic record
Abstract
Thymic stromal lymphopoietin (TSLP) plays a pivotal role in allergic diseases such as asthma, chronic obstructive pulmonary disease, and atopic dermatitis. Enhanced TSLP expression has been detected in asthmatic airways that correlated with both the expression of Th2-attracting chemokines and with disease severity. Although cumulative evidence suggests that human airway smooth muscle (HASM) cells can initiate or perpetuate the airway inflammation by secreting a variety of inflammatory cell products such as cytokines and chemokines, the role of TSLP in this pathway is not known. In the current study, we sought to investigate whether HASM cells express the TSLP receptor (TSLPR) and whether it is functional. We first demonstrated that primary HASM cells express the transcript and protein of both TSLPR subunits (TSLPR and IL-7Ralpha). Functionally, TSLPR-mediated HASM activation induced a significant increase in CXC (IL-8/CXCL8), CC (eotaxin-1/CCL11) chemokines, and proinflammatory cytokine IL-6 expression. Furthermore, using biochemical and genetic approaches, we found that TSLP-induced proinflammatory gene expression in HASM involved the transcriptional mechanisms, MAPKs (ERK1/2, p38, and JNK), and STAT3 activation. Finally, TSLPR immunoreactivity in bronchial sections from mild allergic asthmatics suggested the potential in vivo TSLP targeting of HASM. Altogether, our data suggest that the TSLPR-mediated HASM activation induces proinflammatory cytokine and chemokines release that may facilitate inflammatory immune cells recruitment in airways. In addition, it may be inferred that TSLPR is involved in the pathogenesis of allergic asthma through the activation of HASM cells by TSLP.
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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".