Hepatoprotective Effect of Floccularia luteovirens (Agaricomycetes) Polysaccharides on Alcohol-Induced Acute Liver Injury in Mice
Bibliographic record
Abstract
Floccularia luteovirens mushroom polysaccharides (FLPs) have anti-inflammatory and antioxidant effects in many inflammatory diseases. However, its protective effect on alcoholic liver injury has not been studied. This study investigated the protective effects of FLPs on acute alcoholic liver injury in mice. After administering FLPs at doses of 200, 400, and 800 mg/kg for 14 days, it was found that FLPs could inhibit the levels of alanine aminotransferase (ALT), aspartate aminotransferase (AST), alkaline phosphatase (ALP), and γ-glutamyl transpeptidase (γ-GT) in the serum. FLPs also significantly reduced the levels of four inflammatory factors, interleukin (IL)-1α, IL-1β, IL-33, and tumor necrosis factor-α (TNF-α) in the serum. All dose groups of FLPs could significantly inhibit the levels of reactive oxygen species (ROS) and malondialdehyde (MDA) in liver tissues. At the same time, they could significantly increase the levels of catalase (CAT) and glutathione peroxidase (GSH-Px), enhancing the antioxidant capacity of the body, which confirmed the protective therapeutic effects of FLPs against oxidative stress and inflammation in alcoholic liver injury. The Western blot assay investigated the effect of FLPs on the NF-κB/NLRP3 signaling pathway in the liver tissues of mice with alcoholic liver injury, indicating that its mechanism of action may be to inhibit the expression of inflammatory factors such as IL-1β and suppress the NF-κB/NLRP3 inflammasome signaling pathway to achieve antioxidant and anti-inflammatory effects.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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 | 0.001 | 0.001 |
| 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 | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".