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Record W2970884363 · doi:10.1111/cup.13574

Novel <i>CARD9</i> mutation in a patient with chronic invasive dermatophyte infection (tinea profunda)

2019· article· en· W2970884363 on OpenAlexaff
Rosalynn M. Nazarian, Evelyn Lilly, Christina Gavino, Daniel L. Hamilos, Donna Felsenstein, Donald C. Vinh, Paul B. Googe

Bibliographic record

VenueJournal of Cutaneous Pathology · 2019
Typearticle
Languageen
FieldMedicine
TopicNail Diseases and Treatments
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsDermatophyteMutationMedicineChronic granulomatous diseaseDermatologyBiologyImmunologyGeneticsGene

Abstract

fetched live from OpenAlex

Caspase Recruitment Domain Family Member 9 (CARD9) is an adaptor molecule that drives antifungal activity of macrophages and neutrophils in the skin. Autosomal recessive loss-of-function mutations in CARD9 confer increased susceptibility to invasive disease with select fungi in non-immunosuppressed patients. We report on a patient with X-linked ichthyosis complicated by chronic cutaneous invasive dermatophyte infection. We identified a previously reported c.271T>C (p.Y91H) mutation and a novel intronic c.1269+18G>A mutation in CARD9 underlying recurrent deep dermatophytosis in this patient despite various antifungals for over three decades. Our case highlights susceptibility to invasive dermatophytosis related to autosomal recessive CARD9 deficiency and illustrates the range of CARD9 mutations to be pursued in immunocompetent patients with unexplained deep dermatophyte infections. Further studies are needed to define the best therapeutic regimen.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.006
GPT teacher head0.236
Teacher spread0.230 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreEmpirical

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".

Quick stats

Citations35
Published2019
Admission routes1
Has abstractyes

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