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MALT1-deficient CD4 T cells exhibit decreased IL-2 secretion and impaired Th1 and Th17 differentiation

2016· article· en· W4313380733 on OpenAlexaff
Sohyeong Kang, Yu-Husan Huang, Xiaoxia Wang, Shan‐Yu Fung, Stuart E. Turvey, John J. Priatel

Bibliographic record

VenueThe Journal of Immunology · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicNF-κB Signaling Pathways
Canadian institutionsBC Children's Hospital
Fundersnot available
KeywordsSignal transducing adaptor proteinBiologySignal transductionAutoimmunityCell biologyProinflammatory cytokineImmunologyImmune systemCancer researchInflammation

Abstract

fetched live from OpenAlex

Abstract A child admitted to British Columbia Children’s Hospital displayed a novel clinical presentation of immune dysregulation, exhibiting lymphocytic infiltration and severe inflammation of the intestinal tract and other mucosal surfaces. Whole-exome sequencing revealed that the patient inherited missense MALT1 mutations and her lymphocytes exhibited deficits in MALT1 protein and MALT1-dependent signal transduction. MALT1 plays critical roles in T cell receptor signal transduction through at least two different mechanisms: (1) as a signaling adaptor molecule bringing together CARMA-1 and BCL-10 to form the CBM signalosome complex and (2) as a caspase-like protease (paracaspase) cleaving substrates after arginine residues. Studies on Malt1−/− mice have revealed diminished NF-KB activation and weakened T cell immunity whereas mice lacking paracaspase activity but not MALT1 adaptor function are prone to lethal autoimmunity. Altogether, these mouse findings raise questions regarding the nature of our patient’s mutant MALT1 protein and the role it plays in her proinflammatory phenotype. Consequently, we plan to analyze our patient’s MALT1 mutation by investigating the paracaspase activity, signaling, and function of her T cells. Early studies have found that patient CD4 T cells exhibit defects in Th1 and Th17 differentiation and these impairments could be responsible for inefficient immune responses leading to chronic infections. Finally, a better understanding of MALT1 will provide insight into inflammatory disease and prove invaluable in supporting MALT1-targeted therapies to modulate T cells to treat autoimmune diseases.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.251

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 head0.007
GPT teacher head0.203
Teacher spread0.196 · 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 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

Citations0
Published2016
Admission routes1
Has abstractyes

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