Differential expression of SOCS1 in macrophages in relapsing‐remitting and chronic EAE and its role in disease severity
Bibliographic record
Abstract
Experimental autoimmune encephalomyelitis (EAE) is a T cell-mediated neuroinflammatory disease that is often used as a model of multiple sclerosis. EAE can follow either relapsing-remitting (RR) or chronic (CH) courses, yet the factors responsible for differentially inducing these forms of disease remain largely unknown. Proinflammatory cytokines play an important role in EAE, and signaling by these cytokines can be negatively regulated by the suppressor of cytokine signaling 1 protein (SOCS1). We assessed if differential expression of SOCS1 could contribute to the clinical course of RR and CH forms of EAE induced in the same mouse strain (C57BL/6) using the same myelin antigen (myelin oligodendrocyte glycoprotein). We show that SOCS1 mRNA levels are significantly elevated in the spinal cord in early stages of both RR- and CH-EAE. SOCS1 protein is highly expressed in immune cells in EAE lesions in the spinal cord, with expression predominantly localized within macrophages. Importantly, the number of Mac-1(+) macrophages expressing SOCS1 at the peak stage of RR disease is three-fold greater than in CH-EAE. Furthermore, the macrophage effector molecule iNOS, whose expression is regulated by SOCS1, is significantly reduced at the peak of RR- versus CH-EAE. Finally, the administration of a SOCS1-mimetic peptide reduces disease severity in the CH-EAE model. Thus, the differential expression of SOCS1 may contribute to the development of RR and CH forms of EAE.
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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".