Epstein–Barr Virus and Autoimmunity: The Role of a Latent Viral Infection in Multiple Sclerosis and Systemic Lupus Erythematosus Pathogenesis
Bibliographic record
Abstract
Multiple sclerosis (MS) and systemic lupus erythematosus (SLE) are both chronic autoimmune diseases with unknown etiology. To date, EBV is the most closely implicated infectious agent to be associated with both MS and SLE. Epidemiological findings show a strong correlation between EBV infection and the risk of developing these diseases. The type and magnitude of both EBV-specific antibodies and T-cell responses produced by MS or SLE patients are dysregulated when compared with healthy cohorts. Despite all these findings, it is still not clear if and how EBV triggers autoimmunity. EBV infects and establishes latency mainly in B cells, but it can also infect other cell types and indirectly influence the activation status of the immune system by stimulating the production of proinflammatory mediators. This could play a role in both MS and SLE pathogenesis. In this review we will summarize recent literature that links EBV infection to SLE and MS, and discuss possible new mechanisms that explain how EBV drives autoimmunity.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".