PSXVI-37 Rutin attenuates inflammatory responses induced by lipopolysaccharide (LPS) in an in vitro mouse muscle cell (C2C12) model.
Bibliographic record
Abstract
White striping (WS) and woody breast (WB) are two major myopathies in modern poultry industry. Even though the exact etiology for WS and WB is still unknown, differentially expressed genes in broiler breast muscle affected by WS/WB indicated that oxidative stress and inflammation could be involved in the occurrence of WS/WB. Therefore, it is very important to identify natural compounds with anti-oxidative stress and anti-inflammation properties that can reduce the occurrence of WS/WB in broiler chickens. Rutin is a polyphenol antioxidant that has been reported in several plant extracts. In the present study, we established an in vitro inflammation model by using mouse muscle cells (C2C12) and evaluated the effects of rutin on lipopolysaccharide (LPS) induced inflammatory responses in muscle cells. Interleukin 6 (IL-6) secretion was measured by Enzyme-linked immunosorbent assay. The mRNA abundance of cytokines and inducible nitric oxide synthase (iNOS) was measured by real-time PCR. Nuclear factor КB (NF- КB) activation was detected by electrophoretic mobility shift assay. The results showed that LPS (25 ng/ml) stimulation quickly activated NF- КB and subsequently induced significant IL-6 expression on both mRNA and protein levels (P < 0.05) in cells when compared with control cells without LPS treatment. Rutin treatment decreased IL-6 mRNA abundance induced by LPS at a dose-dependent manner (P < 0.05). LPS induced TNFα and iNOS gene expression was also significantly attenuated by 100 µM of rutin (P < 0.05). Moreover, LPS induced ROS production and NF- КB activation were also significantly blocked by 100 µM of rutin. These results suggest that rutin can attenuate LPS-induced inflammation in muscle cells and supplementation of rutin or rutin containing plant extracts may represent a promising approach to control WS/WB in broiler chickens.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".