<i>Hippophae rhamnoides</i> L. polysaccharide enhances antioxidant enzyme activity, cytokine level, and related mRNA expression in intestinal porcine epithelial cells
Bibliographic record
Abstract
Hippophae rhamnoides L. polysaccharide (HRP) has antioxidant and immunomodulatory actions. It has been reported that HRP can reduce the release of reactive oxygen species (ROS). The objective of this study was to investigate the effects of HRP on immunomodulatory and antioxidant activity in intestinal porcine jejunum epithelial (IPEC-J2) cells. Effective conditions of HRP (0, 200, 400, 600, and 800 μg mL−1) were evaluated by pretreatment of IPEC-J2 cells for 24 h. The results showed that pretreatment with 0–600 μg mL−1 of HRP enhanced cell survival rate, while more than 600 μg mL−1 posed a threat to IPEC-J2 cell viability and lowered cell survival rate (p < 0.05). In addition, results revealed that, compared with the control group, the treatment of IPEC-J2 cells with 200–600 μg mL−1 of HRP for 24 h decreased ROS, malondialdehyde, protein carbonyl levels, and cell apoptosis. Meanwhile, the levels of superoxide dismutase, glutathione peroxidase, interleukin-1 beta, interleukin-2, interleukin-6, interleukin-8, tumour necrosis factor-alpha were elevated, and enhanced relative mRNA levels were also shown in the IPEC-J2 cells. Both the contents of immunoglobulin M, immunoglobulin A, and immunoglobulin G elevated with the increases of HRP concentration (200, 400, and 600 μg mL−1), and an increase of catalase relative mRNA levels were also observed in IPEC-J2 cells. Data indicated that 600 μg mL−1 of HRP had a potent protective effect on IPEC-J2 cells. Taken together, these results suggested that HRP was effective in regulating intestinal epithelial cells in piglets.
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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 | 0.000 | 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".