Live imaging of Toll-like receptor 2 response in cerebral ischaemia reveals a role of olfactory bulb microglia as modulators of inflammation
Bibliographic record
Abstract
Activation of microglial cells in response to ischaemic injury, inflammatory and/or immune stimuli is associated with the marked induction of Toll-like receptor 2 (TLR2). At present, little is known about the spatial and temporal sequence of events, micro-regional specificities and the potential long term role of the TLR2 response to brain injuries. To investigate microglial activation/TLR2 response in real time, we generated a transgenic mouse model bearing the dual reporter system luciferase/green fluorescent protein under transcriptional control of a murine TLR2 promoter. In this model, transcriptional activation of TLR2 was visualized in the brains of live animals using biophotonic/bioluminescence molecular imaging and a high resolution/sensitivity charged coupled device camera. It was found that TLR2 induction/microglial activation has a marked chronic component after ischaemic injury and may last several months after the initial attack. The pro-inflammatory response was not restricted to the site of ischaemic injury but was also evident in the olfactory bulb. A significant TLR2 response was first seen in the olfactory bulb 6 h after stroke and several hours before the increase in photon emission over the site of infarction. This sequence of events was further confirmed by immunohistochemistry. A similar early TLR2 response from olfactory bulb microglia was observed in the brain's immune response to pathogens. We therefore propose that, owing to their unique situation, receiving and translating numerous inputs from the brain as well as from the environment, olfactory bulb microglia may serve as sensors and/or modulators of brain inflammation.
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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 | 0.002 |
| 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 | 0.000 |
| 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".