Deregulated NLRP3 and NLRP1 Inflammasomes and Their Correlations with Disease Activity in Systemic Lupus Erythematosus
Bibliographic record
Abstract
OBJECTIVE: NOD-like receptor family, pyrin domain containing 3 and 1 (NLRP3 and NLRP1) inflammasomes are molecular platforms that sense the damage or danger signals of cells. We investigated whether NLRP3/NLRP1 inflammasomes are involved in the pathogenesis and progression of systemic lupus erythematosus (SLE). METHODS: Expressions of inflammasome components at the mRNA and protein levels in the peripheral blood mononuclear cells (PBMC) from patients with SLE and healthy controls were investigated by quantitative real-time transcription PCR and Western blot, respectively. Correlations between NLRP3/NLRP1 inflammasome components' expression and clinical disease progression were investigated. Expressions of NLRP3/NLRP1 inflammasomes before and after treatment in the patients with SLE were also analyzed and compared. RESULTS: Our data showed that expressions of NLRP3/NLRP1 inflammasomes were significantly downregulated in PBMC from patients with SLE compared with PBMC from healthy controls. Further, expressions of NLRP3/NLRP1 inflammasomes were negatively correlated with the SLE Disease Activity Index, and regular glucocorticoid treatment significantly corrected this deregulation of these inflammasomes. Further analysis showed that type I interferon (IFN) level was significantly negatively correlated with expression of NLRP3/NLRP1 inflammasomes, which indicated that enhanced IFN-I level in patients with SLE was responsible, at least to a great degree, for the deregulation of inflammasomes. CONCLUSION: These results indicated deregulation of NLRP3/NLRP1 inflammasomes in patients with SLE, and suggested an important role for inflammasomes in the pathogenesis and progression of SLE.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".