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Record W2008478930 · doi:10.3899/jrheum.120729

Symptoms Related to Tumor Necrosis Factor Receptor 1-associated Periodic Syndrome, Multiple Sclerosis, and Severe Rheumatoid Arthritis in Patients Carrying the TNF Receptor Superfamily 1A D12E/p.Asp41Glu Mutation

2013· article· en· W2008478930 on OpenAlexvenueno aff
Joachim Havla, Peter Lohse, Lisa Ann Gerdes, Reinhard Hohlfeld, Tania Kümpfel

Bibliographic record

VenueThe Journal of Rheumatology · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammasome and immune disorders
Canadian institutionsnot available
FundersDeutsche ForschungsgemeinschaftTeva Pharmaceutical IndustriesBiogen
KeywordsMedicineTumor necrosis factor alphaRheumatoid arthritisMutationImmunologyArthritisMultiple sclerosisAutoimmune diseaseReceptorGeneInternal medicineGeneticsBiologyAntibody

Abstract

fetched live from OpenAlex

OBJECTIVE: Tumor necrosis factor (TNF) receptor 1-associated periodic syndrome (TRAPS) is an autoinflammatory disorder caused by autosomal dominantly inherited mutations in the TNF receptor superfamily 1A (TNFRSF1A) gene. The D12E substitution has been described only once to date, in a 4-year-old boy with fever. METHODS: For DNA sequence analysis of the TNFRSF1A gene, genomic DNA was isolated, amplified by PCR, purified, and sequenced. RESULTS: We describe 3 families (8 subjects) with the TNFRSF1A D12E substitution and TRAPS-related symptoms, in 4 cases associated with the autoimmune diseases multiple sclerosis and rheumatoid arthritis. CONCLUSION: The clinical phenotype might be associated with the TNFRSF1A D12E mutation. There is a close pathophysiological relationship between TNF signaling and autoimmune disorders.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.005
GPT teacher head0.186
Teacher spread0.181 · 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 designObservational
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

Citations5
Published2013
Admission routes1
Has abstractyes

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