Retinal degeneration in autoimmune polyglandular syndrome type 1: a case series
Bibliographic record
Abstract
BACKGROUND: Autoimmune polyglandular syndrome type 1 (APS1) is a rare autosomal recessive disorder due to mutations in the AIRE gene. AIM: To report the ocular features and characterise the retinal phenotype in molecularly confirmed APS1. METHOD: This retrospective case series reviewed five molecularly confirmed cases with APS1 known to have ocular involvement (age range: 19 months-44 years; mean follow-up of 8 years). The medical history, ocular history and evaluation, visual field testing, full-field electroretinogram (ERG) and antiretinal antibody results were reviewed. RESULTS: All but one case had decreased vision at first presentation. All cases had peripheral pigmentary retinal changes; macular atrophy was noted in 80% of cases. The most common feature on spectral-domain optical coherence tomography was a disruption of the external limiting membrane and inner segment ellipsoid band (n=3). Fundus autofluorescence imaging demonstrated a parafoveal ring of hyper-autofluorescence (n=1) or a stippled and patchy autofluorescence pattern in the macula (n=1). The visual fields were constricted in all tested patients (n=3). The rod ERG was abnormal in all cases; the relative involvement of rods and cones differed. Four patients who were tested for antiretinal antibodies were found positive by immunohistochemistry (n=3) and/or western blot (n=2). CONCLUSIONS: Photoreceptor degeneration is part of APS1 phenotype and the presence of antiretinal antibodies strongly supports an aetiology similar to that of non-paraneoplastic autoimmune retinopathy. Periodic retinal evaluation and imaging, visual field testing and ERG would assist in monitoring the retinopathy in APS1-related disease.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".