Cytokine and chemokine production by astrocytes is influenced by Cystatin C
Bibliographic record
Abstract
Astrocytes play essential roles during homeostasis as structural and functional components of tripartite synapse signaling, blood brain barrier integrity, and neurotransmitter buffering. However, these glia can become reactive in diseases such as multiple sclerosis (MS), where they can exacerbate pro-inflammatory environments by recruiting and promoting immune cell activity through secretion of cytokines and chemokines and possibly antigen presentation. What is incompletely known are the molecular regulators of astrocyte activation. Variable levels of Cst3 mRNA and Cystatin C (CysC) protein have been recorded in a variety of MS tissues, and CysC plays a detrimental role in the experimental autoimmune encephalomyelitis (EAE) model of MS. Further, CysC promotes glial fibrillary acidic protein ( Gfap ) expression, and contributes to the number of GFAP-positive cells during development. As such, we investigated if CysC is expressed by astrocytes in MS and EAE central nervous system (CNS) cord tissue, and what the functional consequence may be of CysC expression in these glia. We found that CysC is robustly expressed by astrocytes in MS and EAE CNS tissues, that CysC contributes to cytokine and chemokine production by mixed glial cells enriched in astrocytes, and that these CysC-impacted secretory factors can promote cytokine production by CD4 + T cells in vitro. Thus, CysC expression in astrocytes contributes to activation of these glial cells.
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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 | 0.000 | 0.000 |
| 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".