Mitochondrial derived reactive oxygen species activates NLRP3 inflammasome in cardiac fibroblasts in sepsis
Bibliographic record
Abstract
Background Sepsis is a common disease in intensive care unit in hospital. It is caused by exaggerated host response to infection. Septic myocardial dysfunction plays an important role in pathogenesis of multiple organ failure and subsequent high mortality of patients with sepsis. Our previous studies indicate that activation of NLRP3 inflammasome in cardiac fibroblasts (CF) contributes to sepsis‐induced myocardial dysfunction. The aim of the present study is to identify the role of mitochondrial ROS (mtROS) in the activation of the NLRP3 inflammasome in CF. Methods Cultured CF was primed with LPS (1 ng/mL) followed by ATP (3 mmol/L) treatment for activation of NLRP3 inflammasome. CF mtROS was detected with MitoSOX reagent, a probe specifically detects mitochondrial ROS. NLRP3 inflammasome activation was assessed with Western blot, ELISA and co‐immunoprecipitation. Results ATP challenge of CF primed with LPS increased CF mtROS production which was attenuated by pretreatment of the LPS primed CF with mito‐TEMPO (25 mmol/L), an ROS scavenger targeted at mtROS. ATP challenge of the LPS primed CF activated the NLRP3 inflammasome as indicated by increase in intracellular levels of NLRP3, pro‐IL‐1β and released IL‐1β. Mito‐TEMPO pretreatment of the CF with LPS+ATP prevented the increase of released IL‐1β in CF. Finally, ATP challenge of the LPS primed CF promoted NLRP3 interaction with the ASC. The Mito‐TEMPO pretreatment of the CF diminished the interaction between the NLRP3 and ASC. Conclusion Our data suggest that mitochondrial derived ROS plays a pivotal role in the activation of the CF NLRP3 inflammasome in sepsis. Support or Funding Information The study was supported by Natural Science Foundation of Jiangsu Province (BK20151332) and Natural Science Foundation of China (81370333). This abstract is from the Experimental Biology 2019 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .
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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 | 0.000 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".