Comparison Of Immunomodulator mRNA and Protein Expression in the Lungs of <i>Stachybotrys chartarum</i> Spore-Exposed Mice
Bibliographic record
Abstract
Stachybotrys chartarum is an important toxigenic fungus that has been associated with respiratory disease onset in animals and humans. It can be separated into macrocyclic trichothecene-producing and nonproducing chemotypes based on secondary metabolite production. However, effects of spores of the two chemotypes on lung inflammatory responses are poorly understood. In this study, real-time reverse-transcription polymerase chain reaction (RT-PCR) and enzyme linked immunosorbent assay (ELISA) were used to investigate time-course (1, 3, 6, 24, and 48 h post-instillation [PI]) relationships in mice intratracheally exposed to 300 spores/g body weight of a macrocyclic trichothecene-producing (JS 58-17) and a nonproducing (JS 58-06) S. chartarum isolate and of Cladosporium cladosporioides. There were marked differences in the magnitude and temporal patterns of mouse lung immune responses to intratracheal exposure to spores of these species at this spore dose. Both macrophage inflammatory protein 2 (MIP-2) and surfactant protein-D (SP-D) mRNA expression were significantly upregulated in lungs of JS 58-17-treated animals compared to that of all other treatment animals at 6 and 24 h PI. Heightened mRNA expression of these immunomodulators combined with comparatively depressed MIP-2 and tumor necrosis factor (TNF)-a protein expression suggests that the action of macrocyclic trichothecenes sequestered in 58-17 spores is involved. Interestingly, TNF-a protein expression in all spore treatment animal groups was also significantly increased over that in saline controls. Similarities in expression among all spore treatment animals suggest that chemicals other than toxic secondary metabolites, and possibly spore-sequestered 1,3-beta-D-glucan, may contribute to lung pathogenesis.
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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 | 0.001 | 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) | 0.001 | 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".