P.041 Guillain Barre syndrome could be a rare presenting finding of nodal and paranodal autoantibodies in immune-mediated neuropathies (IMN): A clinical utility of Cell based Assay
Bibliographic record
Abstract
Background: Guillain Barre Syndrome (GBS) and chronic inflammatory demyelinating polyradiculoneuropathy (CIDP) are the two most common forms of treatable IMNs. Antibodies targeting proteins at paranodal cell-adhesion molecules such as contactin-1 (CNTN1), neurofascin-155 (NF155), contactin-associated protein 1 (CASPR1), and nodal neurofascins-NF140 and NF186, have been discovered in CIDP patients. Methods: Between August 2021 and January 2023, at BC Neuroimmunology laboratory, Vancouver we screened a total of 214 sera of patients for detecting nodal and paranodal antibodies with a fixed CBA. These patient sera were assayed for the presence of NF140, NF155, NF186, CNTN1, plus Caspr1 antibodies. The final diagnosis and response to therapy of positive cases were evaluated by a questionnaire requested from their physicians. Results: 10 cases were positive for nodal/paranodal antibodies by CBA (mean age 52.4 ± 15.4 years). Two cases were NF155 Ab positive CIDP with good response to conventional therapies. Three cases were double positive for NF140 and 186 Abs, three were double positive for CNTN1 and CASPR1 Abs. Interestingly, two cases were triple positive with GBS presentation. Conclusions: We identified a subgroup of nine patients with CIDP nodal and paranodal antibodies. Among them, two cases had triple positive antibodies with GBS presentation and poor response to plasma exchange and IVIg.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".