Voluven treatment could induce NLRP3 inflammasome-mediated pyroptosis of bone marrow-derived macrophages
Bibliographic record
Abstract
The aim of this study was to investigate the influence of Voluven on the NLRP3 inflammasome-mediated pyroptosis in bone marrow-derived macrophage (BMDM). Separated BMDMs were cultured and treated with different concentration of Voluven (0, 0.1, and 0.5 µg) dissolved in 10 µL 0.9% NaCl solution for 24 h. Both wild-type and nucleotide-binding domain and leucine-rich repeat protein 3 (NLRP3)–/– C57BL/6J mice ( n = 18) were intravenously injected with 0.2 mL of 0%, 5%, and 10% Voluven through femoral vein, respectively. Pyroptosis was inspected with flow cytometry. The mRNA levels of NLRP3 and caspase-1 were detected with quantitative real-time polymerase chain reaction (qRT-PCR). The levels of NLRP3, pro-caspase-1, and cleaved caspase-1 (p10) in serum were determined with Western blot. The expression of IL-17A in peripheral blood CD4+ T cells was analyzed with flow cytometry. The expression of cleaved caspase-1 (p10) in mice spleens was inspected with immunofluorescence. Compared with control group, the ratio of pyroptosis in all Voluven-treated groups rose significantly. The levels of NLRP3 and caspase-1 were increased after Voluven treatment. The expression of interleukin (IL)-17A in Voluven-treated CD4+ T cells was also increased, exhibiting a dose-dependent pattern. In wild-type mice, Voluven-treated mice had higher levels of IL-17A, NLRP3, and cleaved caspase-1 (p10) in a dose-dependent manner. The effects of Voluven were diminished in NLRP3–/– mice.
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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) | 0.001 | 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 | 0.001 |
| 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".