Activation of the Nlrp1b Inflammasome by Reduction of Cytosolic ATP
Bibliographic record
Abstract
The efficacy of the innate immune system depends on its ability to mount an appropriate response to diverse infections and damaging agents. Key components of this system are pattern recognition receptors that detect pathogen-associated and damage-associated molecular patterns (PAMPs and DAMPs). Nlrp1b is a pattern recognition receptor that forms a caspase-1 activation platform, known as an inflammasome, upon sensing the proteolytic activity of anthrax lethal toxin. The activation of caspase-1 leads to the release of proinflammatory cytokines that aid in the clearance of the anthrax infection. Here, we demonstrate that Nlrp1b also becomes activated in cells that are subjected to energy stress caused by metabolic inhibitors or by nutrient deprivation. Glucose starvation and hypoxia were used to correlate the level of cytosolic ATP to the degree of inflammasome activation. Because lowering the ratio of cytosolic ATP to AMP activates the main cellular energy sensor, AMP-activated protein kinase (AMPK), we assessed whether AMPK promoted inflammasome activity by using a combination of small interfering RNA (siRNA) and transfection of a dominant negative AMPK subunit. We found that AMPK promoted inflammasome activity, but activation of AMPK in the absence of ATP depletion was not sufficient for caspase-1-mediated pro-interleukin 1β (pro-IL-1β) processing. Finally, we found that mutation of the ATP-binding motif of Nlrp1b caused constitutive activation, suggesting that ATP might inhibit the Nlrp1b inflammasome instead of being required for its assembly.
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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".