Combinatorial antibody library from multiple sclerosis patients reveals antibodies that cross‐react with myelin basic protein and EBV antigen
Bibliographic record
Abstract
ABSTRACT Multiple sclerosis (MS) is a widespread neurodegenerative autoimmune disease with unknown etiology. It is increasingly evident that, together with pathogenic T cells, autoreactive B cells are among the major players in MS development. The analysis of myelin neuroantigen‐specific antibody repertoires and their possible cross‐reactivity against environmental antigens, including viral proteins, could shed light on the mechanism of MS induction and progression. A phage display library of single‐chain variable fragments (scFvs) was constructed from blood lymphocytes of patienst with MS as a potential source of representative MS autoantibodies. Structural alignment of 13 clones selected toward myelin basic protein (MBP), one of the major myelin antigens, showed high homology within variable regions with cerebrospinal fluid MS‐associated antibodies as well as with antibodies toward Epstein‐Barr latent membrane protein 1 (LMP1). Three scFv clones showed pronounced specificity to MBP fragments 65–92 and 130–156, similar to the serum MS antibodies. One of these clones, designated E2, in both scFv and full‐size human antibody constructs, was shown to react with both MBP and LMP1 proteins in vitro , suggesting natural cross‐reactivity. Thus, antibodies induced against LMP1 during Epstein‐Barr virus infection might act as inflammatory trigger by reacting with MBP, suggesting molecular mimicry in the mechanism of MS pathogenesis.—Gabibov, A. G., Belogurov, A. A., Jr. Lomakin, Y. A., Zakharova, M. Y., Avakyan, M. E., Dubrovskaya, V. V., Smirnov, I. V., Ivanov, A. S., Molnar, A. A., Gurtsevitch, V. E., Diduk, S. V., Smirnova, K. V., Avalle, B., Sharanova, S. N., Tramontano, A., Friboulet, A., Boyko, A. N., Ponomarenko, N. A., Tikunova, N. V. Combinatorial antibody library from multiple sclerosis patients reveals antibodies that cross‐react with myelin basic protein and EBV antigen. FASEB J. 25, 4211–4221 (2011). www.fasebj.org
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".