Prmt2 Regulates the Lipopolysaccharide-Induced Responses in Lungs and Macrophages
Bibliographic record
Abstract
Precise control of the LPS stimulation in the lung modulates inflammation and airway hyperresponsiveness involving the well-known TLR4/NF-κB pathway. As a consequence, the expression and secretion of proinflammatory cytokines is tightly regulated with the recruitment of neutrophils. Changes in the LPS-induced responses have been observed in the Prmt2-Col6a1 monosomic model, suggesting the presence of dosage-sensitive genes controlling LPS pathway in the mouse. In this article, we report that the Prmt2 regulates the LPS-induced lung responses in lungs and macrophages. We demonstrate that Prmt2 gene dosage influences the lung airway hyperresponsiveness, the recruitment of neutrophils, and the expression of proinflammatory cytokines, such as IL-6 and TNF-α. In addition, Prmt2 loss of function also altered the nuclear accumulation of NF-κB in stimulated macrophages. Prmt2 should be considered as a new member of the NF-κB pathway controlling LPS-induced inflammatory and lung responses in a dosage-dependent manner, certainly through regulating nuclear accumulation of NF-κB as shown already in fibroblasts.
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) | 0.000 | 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) | 0.001 | 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".