Tapeworm antigens block LPS-induced inflammatory mediator production by macrophages via IL-10 and recruit myeloid derived suppressor cells (IRC10P.463)
Bibliographic record
Abstract
Abstract Parasites have been shown to suppress concomitant inflammatory disease in mouse models: mice infected with the rat tapeworm, Hymenolepis diminuta, are protected from colitis. Assessing the mechanism by which this worm may inhibit inflammation the objective was to determine if a PBS-soluble extract of H. diminuta antigens (HdAg) directly affected innate immune cell activity. Bone marrow macrophages (BMMs) exposed to LPS ± HdAg for 48 hr and IL-1β, IL-6, TNFα, NO and IL-10 measured in culture supernatants 1, 6, 24 and 48 hr later. Additional studies included the addition of an anti-IL-10 antibody to the cell culture. In other experiments, mice received HdAg (500 μg, ip) and 24 hr later peritoneal exudate cells were analyzed by flow cytometry. LPS-induced IL-1β and TNFα, but did IL-6 or NO, were significantly reduced by ~50% by HdAg co-treatment. BMM treated with HdAg showed a dose- and time-dependent increase in IL-10, paralleled by increased STAT3 phosphorylation suggesting IL-10 feedback on the BMM: anti-IL-10 prevented the HdAg inhibition of LPS-evoked TNFα by BMM. Mice given HdAg recruited a F480+Gr1+ cell population that boosted IL-10 production by anti-CD3/CD28-activated T cells. In conclusion, HdAg enhanced IL-10 production by LPS-stimulated BMMs which in turn down-regulated TNFα and IL-1β secretion. This, coupled to the recruitment/generation of MDSC, likely contributes to the suppression of pro-inflammatory events in H. diminuta infected 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.
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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".