Additional file 1 of Inhibiting NLRP3 inflammasome signaling pathway promotes neurological recovery following hypoxic-ischemic brain damage by increasing p97-mediated surface GluA1-containing AMPA receptors
Bibliographic record
Abstract
Additional file 1: Figure S1. The NLRP3−/− and caspase-1−/− mice were genotyped by PCR with reverse transcriptase using mouse tail-tip DNA and mixed primers. The protein levels of NLRP3 and caspase-1 were assessed by Western blot in the brain tissues from WT, NLRP3−/− and caspase-1−/− mice. a The results of PCR showed a band of 666 bp in WT mice, and a band of 850 bp in NLRP3−/− mice. The results of Western blot showed no NLRP3 expression in NLRP3−/− mice. b The results of PCR showed a band of 500 bp in WT mice, and a band of 300 bp in caspase-1−/− mice. The results of Western blot showed no caspase-1 and clv-caspase-1 expression in caspase-1−/− mice. Figure S2. Co-IP assays show no interaction between GluA2 and p97 in the primarily cultured neurons with or without OGD treatment. Figure S3. TTC staining shows an improvement of infarction caused by HI with the treatment of AC-YVAD-CMK. a Representative TTC staining coronal brain sections (2 mm). Sections are labeled as five different levels (level 1–level 5) along the anterior (A) to posterior (P) axis. b Quantification of the cerebral infarct area in brain sections (infarcted area ratio (%) = white infarcted area/brain slice area).
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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 | 0.002 | 0.025 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.929 | 0.204 |
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".