NLRP3 and ASC Differentially Affect the Lung Transcriptome during Pneumococcal Pneumonia
Bibliographic record
Abstract
Streptococcus pneumoniae is the most frequently isolated causative pathogen of community-acquired pneumonia, a leading cause of mortality worldwide. Inflammasomes are multiprotein complexes that play crucial roles in the regulation of inflammation. Nod-like receptor family, pyrin domain containing (NLRP) 3 is a sensor that functions in a single inflammasome, whereas adaptor apoptosis-associated speck-like protein containing a caspase activation and recruitment domain (ASC) is a common adaptor of several inflammasomes. We investigated the role of NLRP3 and ASC during S. pneumoniae pneumonia by comparing bacterial growth and spreading, and host innate immune responses in wild-type mice and mice deficient for either NLRP3 (Nlrp3(-/-)) or ASC (Asc(-/-)). Asc(-/-) mice had increased bacterial dissemination and lethality compared with Nlrp3(-/-) mice, although the cytokine response was impaired in both mouse strains. By detailed analysis of the early inflammatory response in the lung by whole-genome transcriptional profiling, we identified several mediators that were differentially expressed between Nlrp3(-/-) and Asc(-/-) mice. Of these, IL-17, granulocyte/macrophage colony-stimulating factor, and integrin-αM were significantly attenuated in Asc(-/-) relative to Nlrp3(-/-) mice, as well as a number of genes involved in the adaptive immune response. These differences may explain the increased susceptibility of Asc(-/ -) mice during S. pneumoniae infection, and suggest that either ASC-dependent NLRP3-independent inflammasomes or inflammasome-independent ASC functions may be involved.
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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 | 0.000 | 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 | 0.000 |
| 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".