Treatment of ricin A-chain-induced hepatotoxicity with liposome-encapsulated N-acetylcysteine
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: The toxicity of ricin resides in the ricin A-chain (RTA) and is attributed to the inhibition of protein synthesis but inflammation and oxidative stress have also been implicated. RTA can independently enter cells producing comparable tissue injury and inflammation, although at much higher concentrations than intact ricin. Treatment for exposure to ricin or RTA is supportive. PURPOSE: To examine the effectiveness of conventional or liposome-encapsulated N-acetylcysteine (Lipo-NAC) in ameliorating RTA-induced hepatotoxicity. METHODS: Four hours after RTA administration (90 µg/kg b.wt, iv), rats were treated with conventional NAC or Lipo-NAC (25 mg/kg NAC). The hepatoprotective effects of the antioxidant formulations were assessed by measuring indexes for liver injury (alanine [ALT] and aspartate [AST] aminotransferase activities), inflammation (myeloperoxidase, tumor necrosis factor-α, chloramine levels), and oxidant response (lipid peroxidation, nitrotyrosine, glutathione levels) 24-h post-RTA exposure. RESULTS: Administration of RTA to animals resulted in hepatotoxicity as demonstrated by elevated plasma ALT and AST levels, increases in an inflammatory response, and increases in oxidant response. Treatment of animals with the antioxidant formulations reversed the RTA-induced hepatotoxicity, being most evident following the administration of Lipo-NAC. CONCLUSION: NAC, administered in a liposomal form, may serve as a potentially effective pharmacological agent in the treatment of RTA-induced liver injuries.
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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) | 0.001 | 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 | 0.000 |
| 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 it