Interleukin-1β is Required for the Early Evolution of Reactive Astrogliosis Following CNS Lesion
Bibliographic record
Abstract
The CNS response to injury is characterized by the rapid activation of astrocytes in a process known as astrogliosis. The function of reactive astrocytes is controversial, in that both beneficial and detrimental properties are postulated. Identification of the molecules involved in regulating astrogliosis is an important step towards understanding astrocyte functions and establishing suitable conditions for CNS regeneration. We previously reported that inflammatory cytokines are regulators of astrogliosis but the key cytokine involved in initiating astrogliosis was unclear. We describe here that the elevation of glial fibrillary acid protein (GFAP) transcripts follows the very early rise of interleukin (IL)-1beta mRNA in a murine corticectomy model of CNS lesion. Furthermore, the injury-induced upregulation of GFAP mRNA and protein did not occur in mice genetically deficient for IL-1beta compared to wild-type animals. This was correlated with an absence of an increase in GFAP-immunoreactivity (GFAP-ir) in IL-1beta-null mice at 2 and 3 days of injury. However, by 5 to 7 days after the lesion, GFAP-ir was not different between cytokine-deficient and wild-type controls. Functionally, mice lacking IL-1beta exhibited a significant impairment in reformation of the blood-brain barrier (BBB) following corticectomy compared to wild-type controls. These findings suggest that the rapid production of IL-1beta following trauma plays a beneficial role in initiating astrogliosis in an attempt to restore the integrity of the BBB and seal off the wound site.
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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 | 0.001 |
| 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 | 0.001 | 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".