P.015 Analysis of Aquaporin-4 and Myelin Oligodendrocyte Glycoprotein Autoantibodies using live cell-based assay in a reference laboratory with over 6,000 tests
Bibliographic record
Abstract
Background: Accurate aquaporin-4 (AQP4) and Myelin Oligodendrocyte Glycoprotein (MOG) assays are essential for effectively diagnosing neuromyelitis Optica spectrum disorder and MOG antibody-associated disease. The Live Cell-Based Assay (L-CBA) is the gold standard laboratory test for detecting these antibodies. We studied the profiles of these antibodies, in samples of patients with relevant neurological conditions. Methods: Between January 2021 and December 2024, a total of 6673 samples of serum and/ or CSF were tested at BC Neuroimmunology Lab, Vancouver. We performed in-house L-CBA for the AQP4 and MOG Abs identification. We analyzed the demographics and characteristics of the positive Abs results. Results: We identified 7.8% positive results for anti-MOG and 2.7% for anti-AQP4 antibodies. Both antibodies were more frequent in females (AQP4: 76.9%, MOG: 65.1%). The average age of patients was 49.2 ± 18.8 years, ranging from 9 to 88 years for AQP4 antibodies, and 40.9 ± 19.5 years, ranging from 10 months to 89 years for MOG antibodies. Conclusions: Both anti-MOG and anti-AQP4 Abs are prevalent in females. Moreover, anti-MOG Abs are present across a wider age range from infancy to the elderly, and anti-AQP4 Abs are typically found in later ages, between 10 and 90 years.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".