Orally administered indomethacin acutely reduces cellular prion protein in the small intestine and modestly increases survival of mice exposed to infectious prions
Bibliographic record
Abstract
OBJECTIVE: The oral uptake of infectious prions represents a common way to acquire a prion disease; thus, host factors, such as gut inflammation and intestinal "leakiness", have the potential to influence infectivity. For example, the ingestion of nonsteroidal anti-inflammatory drugs (NSAIDs) is known to induce intestinal inflammation and increase intestinal permeability. Previously, we reported that normal cellular prion protein (PrP(C)) expression was increased in experimental colitis, and since the level of PrP(C) expressed is a determinant of prion disease propagation, we hypothesized that NSAID administration prior to the oral inoculation of mice with infectious prions would increase intestinal PrP(C) expression and accelerate the onset of neurological disease. MATERIALS AND METHODS: In the long-term experiments, one group of mice was gavaged with indomethacin, followed by a second gavage with brain homogenate containing mouse-adapted scrapie (ME7). Control mice received ME7 brain homogenate alone. Brain and splenic tissues were harvested at several time points for immunoblotting, including at the onset of clinical signs of disease. In a second series of experiments, mice were gavaged with indomethacin to assess the acute effects of this treatment on intestinal PrP(C) expression. RESULTS: Acutely, NSAID treatment reduced intestinal PrP(C) expression, and chronically, there was a modest delay in the onset of neurological disease. CONCLUSION: In contrast to our hypothesis, brief exposure to an NSAID decreased intestinal PrP(C) expression and led to a modest survival advantage following oral ingestion of infectious prions.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.002 | 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".