Is Epstein-Barr Virus a Risk Factor for Multiple Sclerosis?
Bibliographic record
Abstract
Background: The immune system is involved in the development of multiple sclerosis (MS) in genetically predisposed persons who are exposed to certain environmental stimuli that may include Epstein-Barr virus (EBV). The aim of the present study is to evaluate if EBV is an environmental risk factor in MS patients in Egyptian population. Methods: This is a prospective comparative study of 41 patients (18 - 50 years) including 25 females and 16 males versus 41 age-gender matched healthy controls tested for different EBV antibodies through serological examination using ELISA test after taking their informed consent. The data analysis was performed using Graphpad Prism 6.0 software. Results: Thirty-one patients were of relapsing-remitting MS (RRMS), eight cases were clinically isolated syndromes (CIS) and two cases were primary progressive MS (PPMS). Expanded disability status scale (EDSS) score of patients ranged from 0 to 8. Anti-EBV-viral capsid antigen (VCA)-IgG, anti-EBV-early antigen (EA)-IgG and anti-EBV-EBV nuclear antigen 1 (EBNA1)-IgG antibodies showed no statistically significant difference between MS and control groups with P values of 0.083, 0.517 and 0.833, respectively. No significant statistical correlation was found between level of EBV antibodies and MS clinical type, relapse or previous viral infection. Conclusion: According to our study, EBV infection might not be an independent factor in the development of MS in Eyptian population. J Neurol Res. 2018;8(3):19-25 doi: https://doi.org/10.14740/jnr490w
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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 | 0.003 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".