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Milder clinical hyperimmunoglobulin E syndrome phenotype is associated with partial interleukin-17 deficiency

2009· article· en· W2083650649 on OpenAlexaff
Frank L. van de Veerdonk, Renoud J. Marijnissen, Leo A. B. Joosten, Bart Jan Kullberg, Joost P.H. Drenth, Mihai G. Netea, J.W.M. van der Meer

Bibliographic record

VenueClinical & Experimental Immunology · 2009
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmunodeficiency and Autoimmune Disorders
Canadian institutionsInstitute of Infection and Immunity
Fundersnot available
KeywordsPhenotypeImmunologyInterleukin 17STAT3Staphylococcus aureusCandida albicansMedicineDiseaseCorpus albicansBiologyImmune systemGeneInternal medicineMicrobiologyGenetics

Abstract

fetched live from OpenAlex

Mutations in the signal transducer and activator of transcription 3 (STAT3) were reported to cause hyperimmunoglobulin E syndrome (HIES). The present study investigates T helper type 17 (Th17) responses triggered by the relevant stimuli Staphylococcus aureus and Candidia albicans in five 'classical' HIES patients, and a family with three patients who all had a milder HIES phenotype. We demonstrate that patients with various forms of HIES have different defects in their Th17 response to S. aureus and C. albicans, and this is in line with the clinical features of the disease. Interestingly, a partial deficiency of interleukin (IL)-17 production, even when associated with STAT3 mutations, leads to a milder clinical phenotype. We also observed defective Th17 responses in patients with the 'classical' presentation of the disease but without STAT3 mutations. These data demonstrate that defective IL-17 production in response to specific pathogens can differ between patients with HIES and that the extent of the defective Th17 response determines their clinical phenotype.

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 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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.490
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.002

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 head0.033
GPT teacher head0.337
Teacher spread0.304 · 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; both teacher heads agree on what is shown here.

Study designBench or experimental
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
Published2009
Admission routes1
Has abstractyes

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