An Extract of Sericea Lespedeza Modulates Production of Inflammatory Markers in Pathogen Associated Molecular Pattern (PAMP) Activated Ruminant Blood
Bibliographic record
Abstract
<p>Programs based on antibiotics are failing to control diseases due to increase in resistance of pathogens to antibiotics. Food safety, animal welfare and public health concerns have fueled interest in the use of plant-based alternatives. This study was conducted to evaluate the effect of a plant (Sericea Lespedeza, SL), and pathogen associated molecular patterns (PAMPs) (Lipopolysaccharide (LPS) and peptidoglycan (PGN)) on gene activation in ruminant blood. A water extract of SL, was used as a source of plant-derived tannins. Blood was collected from Holstein-Friesian cows (N = 4), Spanish × Boer goats (N = 4), St Croix sheep (N = 4) and incubated with 100 ng/mL of SL in the presence or absence of LPS or PGN. Samples maintained in Phosphate-buffered saline (PBS) served as negative control. The total protein concentration, WNT5a, and prostaglandin E2 in plasma were determined. Total RNA was isolated, reverse transcribed and Real time-PCR was performed using gene specific primers for TLR2, TLR4, WNT5a, and FZD. TLR2 and FZD were up-regulated in response to PAMPs. WNT5a and TLR4 genes were undetected in PAMP treated blood. SL regulated protein and prostaglandin concentration in all species. SL reduced PGE2 in sheep and cow blood. WNT5a was only secreted in LPS treated cow blood. Transcription and translation of genes involved in innate and adaptive immunity and the WNT signaling pathway in ruminant blood were responsive to diverse PAMPS, and can be modulated by SL. This suggests that dietary tannins may promote the health of ruminants. Further studies are needed to determine the significance of these changes in immune gene expression on ruminant health.</p>
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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 | 0.000 |
| 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 | 0.001 |
| 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".