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Record W4401510369 · doi:10.1101/cshperspect.a041593

The Role of B Lymphocytes in Type 1 Diabetes

2024· article· en· W4401510369 on OpenAlexaff
Mia J. Smith, Joanne Boldison, F. Susan Wong

Bibliographic record

VenueCold Spring Harbor Perspectives in Medicine · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDiabetes and associated disorders
Canadian institutionsInstitute of Infection and Immunity
Fundersnot available
KeywordsPathogenesisImmunologyAutoantibodyBone marrowDiseasePeripheral toleranceBiologyAutoimmunityType 1 diabetesCentral toleranceSelf ToleranceAntigenMedicineImmune toleranceDiabetes mellitusAntibodyPathologyEndocrinology

Abstract

fetched live from OpenAlex

While autoreactive T cells are known to induce β-cell death in type 1 diabetes (T1D), self-reactive B cells also play an important role in the pathogenesis of T1D. Studies have shown that individuals living with T1D have an increased frequency of self-reactive B cells that escape from the bone marrow and populate peripheral organs, become activated, and participate in disease. These failed tolerance mechanisms may be attributed to genetic risk alleles that are associated with the development of T1D. Once in the periphery, these self-reactive B cells act as important antigen-presenting cells to autoreactive T cells and produce autoantibodies that are used to predict individuals at risk for or diagnosed with T1D. Here, we discuss the evidence that B cells are important in the pathogenesis of T1D, how these cells escape normal tolerance mechanisms, their role in disease progression, and how targeting these cells and/or monitoring them as biomarkers for response to therapy will be of clinical benefit.

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 score0.463
Threshold uncertainty score0.259

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 head0.005
GPT teacher head0.241
Teacher spread0.236 · 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

Citations7
Published2024
Admission routes1
Has abstractyes

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