Immunomodulatory Effects of Lycii Radicis Cortex Water Extract on Lipopolysaccharide-Activated RAW 264.7 Mouse Macrophages
Bibliographic record
Abstract
The root bark of Lycium chinense Miller (Solanaceae), also known as Lycii radicis cortex, is one of famous plant-originated drugs in Korean medicine owing to its anti-tussive, anti-asthmatic, and antipyretic properties. In this study, the effect of Lycii radicis cortex water extract (LRC; 10 - 200μg/mL) on inflammatory mediators from lipopolysaccharide (LPS)-activated RAW 264.7 mouse macrophages was inspected. After 24 h incubation with LRC, cell viability, nitric oxide (NO), and various cytokines from RAW 264.7 were measured. LRC increased the cell viability of RAW 264.7 at concentrations of up to 200 μg/mL. LRC significantly inhibited the production of NO, granulocyte colony-stimulating factor (G-CSF), tumor necrosis factor-α (TNF-α), platelet derived growth factor-BB (PDGF-BB), interleukin (IL)-2, and IL-10 in LPS-activated RAW 264.7 (P < 0.05). As well, LRC diminished the production of granulocyte-macrophage colony-stimulating factor (GM-CSF) and lipopolysaccharide-induced CXC chemokine (LIX). The current results suggest that LRC has immunomodulatory property to alleviate excessive immune reactions during the activation of macrophages by LPS.
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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) | 0.001 | 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) | 0.001 | 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".