Novel bi‐allelic splice mutations in <i><scp>CARD</scp>9</i> causing adult‐onset <i>Candida</i> endophthalmitis
Bibliographic record
Abstract
CARD9 deficiency (CANDF2; OMIM# 212050) is an autosomal-recessive monogenic inborn error of immunity conferring susceptibility to invasive fungal diseases, including the very distinct syndrome of spontaneous central nervous system candidiasis, in which opportunistic yeast of the genus Candida infect the central nervous system (either brain parenchyma and/or meninges) in the absence of trauma, chemotherapy or underlying systemic disease. We present a patient with spontaneous endophthalmitis of the right eye due to Candida albicans; further investigations revealed concomitant cerebral abscess. She had a history of left endophthalmitis due to the dematiaceous mould, Aureobasidium pullulans, 15 years earlier. Targeted sequencing of the CARD9 gene revealed 2 novel variants (c.184G>A and c.288C>T). Analysis in silico predicted each variant altered splicing, which was confirmed by sequencing of cDNA from proband and carrier offsprings: c.184G>A results in a 4-base pair frameshift deletion with loss of allelic expression; c.288C>T results in an in-frame 36-bp pair deletion with detectable protein. CARD9 deficiency can present with a phenotype of spontaneous candidal endophthalmitis. We report 2 novel mutations in CARD9, both affecting splicing, expanding the range of morbid variants causing CARD9 deficiency, emphasising the importance of both genomic and cDNA sequencing for this condition.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".