NLRP3 inflammasome expression in pediatric asthma: sputum-based insights, inflammatory mechanisms, and targeted therapeutic strategies
Bibliographic record
Abstract
Asthma is a common chronic inflammatory disease in children. Pediatric asthma has a wide range of immunologic phenotypes and different treatment responses. Recent data from various studies suggest that the NOD-like receptor family pyrin domain-containing 3 (NLRP3) inflammasome, a cytosolic multiprotein complex, has a central role in innate immunity, may be implicated in pediatric asthma pathogenesis, especially in the neutrophilic corticosteroid-resistant type. This review article investigates the mechanism of NLRP3 inflammasome activation as well as its role in airway inflammation and its expression in pediatric asthma based on sputum studies. The findings emphasize an association between elevated NLRP3 levels and poor asthma control. The need for novel treatments is important because Current using therapies such as corticosteroids and biologics demonstrate variable efficacy. According to data, their efficacy heavily depends on the underlying inflammatory phenotype. Biologics such as mepolizumab, benralizumab, and dupilumab are well known for their corticosteroid-sparing effects especially in cases of severe eosinophilic asthma. even though, their therapeutic benefits are limited when it comes to neutrophilic or steroid-resistant phenotypes. NLRP3 inhibitors are new, promising treatments which emerged recently and show potential capability in reducing airway inflammation in animal models. Furthermore, NLRP3-driven inflammation appears to play a role not only in asthma but also in inflammatory bowel disease and juvenile idiopathic arthritis, indicating a wider relevance for therapies that target the inflammasome pathway. Although promising data, application of this data in clinical practice is still challenging due to many causes, including diagnostic challenges, ethical considerations in trials involving children, and the lack of approved NLRP3 inhibitors for use in children. More research is required and essential to confirm that NLRP3 could be used as a biomarker or therapeutic target in pediatric asthma.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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 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".