N-Acetylcysteine (NAC) and its Immunomodulatory Properties
Bibliographic record
Abstract
N-acetylcysteine (NAC), an acetylated derivative of the amino acid L-cysteine has been widely used as a mucolytic agent and antidote for acetaminophen overdose since the 1960s and the 1980s respectively. NAC possesses antioxidant, cytoprotective, anti-inflammatory, antimicrobial and mucolytic properties, making it a promising therapeutic agent for a wide range of diseases in both humans and livestock in which oxidative stress and inflammation plays a major role in the onset and progression of the disease. NAC’s primary role is to replenish glutathione (GSH) stores; the master antioxidant in all tissues, however it can also reduce levels of pro-inflammatory tumor necrosis factor-alpha (TNF-) and interleukins (IL-6 and IL-1), inhibit formation of microbial biofilm, destroy biofilms, and break down disulfide bonds between mucin molecules. Many experimental studies have been conducted on the use of NAC in addressing a wide range of pathological conditions, however, its effectiveness in addressing different pathological conditions in clinical trials remains limited and studies often have conflicting results. The purpose of this review is to provide a concise overview of promising NAC usages for treatment of different human and livestock disorders.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".