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Record W3022604485 · doi:10.14288/1.0380594

Clinical and laboratory characterization of allergic immune dysregulation caused by a heterozygous gain-of-function mutation in JAK1

2023· article· en· W3022604485 on OpenAlexaboutno aff
Catherine M. Biggs

Bibliographic record

VenuecIRcle (University of British Columbia) · 2023
Typearticle
Languageen
FieldImmunology and Microbiology
TopicIL-33, ST2, and ILC Pathways
Canadian institutionsnot available
Fundersnot available
KeywordsGain of functionMutationImmune systemMutation testingFunction (biology)ImmunologyGeneticsBiologyMedicineGene

Abstract

fetched live from OpenAlex

Monogenic immune disorders are a group of conditions caused by single gene mutations affecting how the immune system develops, functions, or both. It is now appreciated that certain monogenic immune disorders can present with severe allergic disease, such as asthma, food allergy, elevated eosinophil counts and/or atopic dermatitis. Studying single-gene defects that lead to atopy has identified critical molecules in the pathogenesis of allergic inflammation. These discoveries have created new therapeutic targets for allergic diseases, which carry an immense health and economic burden in Canada. Germline gain-of-function mutations in JAK1 are a newly described monogenic cause of severe atopy, with affected patients demonstrating profound eosinophilia and allergic inflammation. The initial report identified a dramatic clinical response to the combined JAK1/2 inhibitor ruxolitinib. We sought to determine the long-term clinical outcomes and response to ruxolitinib of patients carrying a germline JAK1 gain-of-function mutation. We further aimed to characterize the mechanisms behind JAK1-mediated atopic immune dysregulation, including its effect on T lymphocytes–key regulators in allergic inflammation–and hematopoiesis. We demonstrate that long-term ruxolitinib use is associated with improvements in growth, eosinophilia, and allergic inflammation, however, anemia represents a dose-limiting adverse effect. T cell immunophenotypic analysis revealed severe skewing towards a TH2 phenotype pre-ruxolitinib treatment, in keeping with the allergic clinical manifestations. RNA sequencing data from patients and a transgenic zebrafish model both containing the same JAK1 gain-of-function mutation identified increased expression of genes involved in cytokine signaling, type 1 interferon and antiviral immune responses, and alternative macrophage activation, as well as genes whose role in allergic immune dysregulation warrants further investigation. In conclusion, this work demonstrates a critical role for JAK1 in atopic immune dysregulation, specifically driving lymphocyte responses towards a TH2 phenotype. Combined JAK1/2 inhibition can reverse much of the allergic inflammation, with dramatic clinical effects. This has important implications for our understanding of the pathogenesis and potential therapeutic targets for early life allergic immune dysregulation.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.949
Threshold uncertainty score0.752

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 head0.009
GPT teacher head0.191
Teacher spread0.182 · 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 teacher head, 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

Citations0
Published2023
Admission routes1
Has abstractyes

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