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Record W4310102605 · doi:10.14785/lymphosign-2022-0013

Heterogeneous phenotype of autoinflammatory disease in a patient with mutations in <i>NOD2</i> and <i>MEFV</i> genes

2022· article· en· W4310102605 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueLymphoSign Journal · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammasome and immune disorders
Canadian institutionsSt. Michael's HospitalUniversity of British ColumbiaHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsMEFVFamilial Mediterranean feverNOD2MedicineGeneticsCompound heterozygosityDiseaseGene mutationPhenotypeBiologyMutationGeneInternal medicine

Abstract

fetched live from OpenAlex

Background: Autoinflammatory diseases are a genetically heterogeneous group of conditions characterized by excessive activation of the innate immune system. They frequently present with overlapping features, particularly in cases of digenic or polygenic inheritance. The most common cause of autoinflammation arises from causative variants in the MEFV gene, responsible for familial Mediterranean fever. Clinical features include recurrent episodes of fever with serositis and amyloidosis. Individuals with variants in MEFV that present atypically with heterogeneous autoinflammatory features have also been described. Notably, gene modifiers of MEFV, such as NOD2 encoding an intracellular bacterial sensor, can result in more severe disease. NOD2 underlies a number of autoinflammatory and immunodeficiency conditions, including Blau syndrome. To date, Blau syndrome has not been described in the context of MEFV. Aim: To expand the presentation and phenotype of autoinflammatory disease associated with defects in the NOD2 and MEFV genes. Methods: A retrospective review of the patient’s chart was performed, including family history, medical history, immune laboratory evaluation, and genetics. Results: We describe here a 68-year-old male with a remarkable medical history since childhood of skin rash, erythroderma, recurrent infections, autoinflammation, arthritis, uveitis, and malignancy. A significant family history of cancer and autoinflammation was noted. Genetic work-up involving a 17-gene autoinflammatory panel revealed 3 heterozygous variants of uncertain significance, 2 of which were present in the MEFV gene and one in the NOD2 gene. His features were consistent with an overlapping phenotype of Blau syndrome and atypical FMF. Conclusion: Heterozygous variants in NOD2 and MEFV can result in a spectrum of autoinflammatory disorders with a heterogeneous phenotype. The NOD2 variant identified in our patient has not previously been associated with Blau syndrome. Statement of Novelty: We describe a patient harbouring heterozygous mutations in the MEFV and NOD2 genes marked by recurrent childhood infections.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.116
Threshold uncertainty score0.386

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.003
GPT teacher head0.183
Teacher spread0.180 · 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