Black holes and high levels of neurofilaments in glial fibrillary acidic protein – astrocytopathy: a case report
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: Glial fibrillary acidic protein (GFAP) is an intracellular protein of the astrocytic cytoskeleton. Recently, autoantibodies to GFAP detected by cell-based assay in cerebrospinal fluid (CSF) or serum have been implicated in cerebral astrocytopathy, presenting predominantly with autoimmune meningoencephalomyelitis. However, the phenotypic spectrum, prognosis and therapeutics of this new entity remain to be elucidated. METHODS: Herein, we report radiological, CSF and serological findings during disease exacerbation and remission, from a patient with autoimmune GFAP astrocytopathy, presenting as an immunotherapy responsive GFAP IgG-associated meningoencephalomyelitis. RESULTS: Brain and spine magnetic resonance imaging revealed meningeal enhancement, T2 hyperintensities, black holes, significant sulci widening and spinal atrophy. In addition, high levels of neurofilaments (NfL) and GFAP were also identified during disease exacerbation, consistent with the appearance of the black holes. CONCLUSIONS: To date, black holes and atrophy have never been reported before in autoimmune GFAP astrocytopathy. These findings, combined with the high levels of GFAP and NfL, suggest the existence of an underlying neurodegenerative mechanism in addition to the known inflammatory response. Further studies are needed to elucidate the pathomechanism of GFAP-astrocytopathies.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.007 | 0.003 |
| 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".