Expression of Toll-like receptor 4 and 2 in horse lungs
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
Toll-like receptor (TLR) is a key component in launching innate immune response to microbial challenge. TLR4 and TLR2 are recognized as specific receptors for components of Gram-negative and Gram-positive bacteria, respectively. Horses are extremely sensitive to endotoxin-induced cardiopulmonary distress and mortality which causes significant economic losses. To date, there are no data on the expression of TLR4 and TLR2 in horse lungs. Therefore, we examined the expression of TLR4 and TLR2 in lungs from normal or Escherichia coli lipopolysaccharide (E. coli LPS; 50 ng/kg; iv) treated horses. We also studied the impact of the depletion of pulmonary intravascular macrophages (PIM) on TLR4 and TLR2 expression in normal or LPS-treated horses. RT-PCR showed TLR4 mRNA but not TLR2, in normal horse lungs. PIM depletion reduced TLR4 mRNA expression without affecting TLR2. The LPS treatment increased the expression of TLR4 and TLR2 mRNA in normal and PIM-depleted horses compared to normal saline-treated horses. Light and electron microscopic immunocytochemistry showed TLR4 protein in PIM, alveolar macrophages and septal endothelium in lungs from normal or LPS-treated horses. Immuno-gold electron microscopy showed TLR4 in PIM and dual-label immuno-electron microscopy co-localized TLR4 and LPS in the cytoplasm and nucleus of PIM of LPS-treated horses. The present manuscript is the first report on the expression of TLR4 and TLR2 in normal and LPS-treated horses and direct co-localization of TLR4 with LPS molecules in PIM. These data provide evidence that PIM are equipped with TLR4 to handle and rapidly respond to circulating endotoxins.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it