β-Glucan, extracted from oat, enhances disease resistance against bacterial and parasitic infections
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The effect of beta-glucan, extracted from oats, on the enhancement of resistance to infections caused by Staphylococcus aureus and Eimeria vermiformis was studied in mice. In vitro study using macrophages isolated from the peritoneal cavity showed that beta-glucan treatment significantly enhanced phagocytic activity. In vivo study further demonstrated that beta-glucan treatment induced a significant (P<0.05) protection against the challenge with 5 x 10(8) of S. aureus in mice. Fecal oocyst shedding in the C57BL/6 mice infected with E. vermiformis was diminished by beta-glucan treatment by 39.6% in intraperitoneal and 28.5% in intragastric group compared to non-treated control. Patency period was shorter and antigen (sporozoites and merozoites) specific antibodies were significantly (P<0.05-0.01) higher in beta-glucan-treated group compared to non-treated control group. There were an increasing number of splenic IFN-gamma-secreting cells in glucan-treated group via intraperitoneal route, which might be responsible for the enhancement of the disease resistance. Glucan treatment was able to effectively change the lymphocytes population (Thy 1.2(+), CD4(+) and CD8(+) cells) in the mesenteric lymph nodes and Peyer's patches in mice infected with E. vermiformis. In conclusion, the oral or parenteral oat beta-glucan treatment enhanced the resistance to S. aureus or E. vermiformis infection in the mice.
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.
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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 it