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Record W2137586425 · doi:10.4049/jimmunol.177.8.5676

Development of Autoimmunity in IL-14α-Transgenic Mice

2006· article· en· W2137586425 on OpenAlexfundno aff
Long Shen, Chongjie Zhang, Tao Wang, Stephen R. Brooks, R. Ford, Yen Chiu Lin-Lee, Amy Kasianowicz, Vijay Kumar, Lisa Martin, Ping Liang, John K. Cowell, Julian L. Ambrus

Bibliographic record

VenueThe Journal of Immunology · 2006
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmune Cell Function and Interaction
Canadian institutionsnot available
FundersUniversity of TorontoJohn R. Oishei Foundation
KeywordsAutoimmunityImmunologyGenetically modified mouseTransgeneBiologyCytokineLupus nephritisAutoantibodyImmune systemB cellGeneAntibodyGeneticsMedicineInternal medicineDisease

Abstract

fetched live from OpenAlex

Multiple genetic loci contribute to the development of systemic lupus erythematosus (SLE). In murine models for SLE, various genes on chromosome four have been implicated. IL-14 is a cytokine originally identified as a B cell growth factor. The il14 gene is located on chromosome 4. IL-14alpha is a cytokine encoded by the plus strand of the IL-14 gene using exons 3-10. The expression of IL-14alpha is increased in (NZB x NZW)F1 mice. In this study, we produced IL-14alpha-transgenic mice to study the role of IL-14alpha in the development of autoimmunity. At age 3-9 mo, IL-14alpha-transgenic mice demonstrate increased numbers of B1 cells in the peritoneum, increased serum IgM, IgG, and IgG 2a and show enhanced responses to T-dependent and T-independent Ags compared with littermate controls. At age 9-17 mo, IL-14alpha-transgenic mice develop autoantibodies, sialadenitis, as in Sjögren's syndrome, and immune complex-mediated nephritis, as in World Health Organization class II SLE nephritis. Between the ages 14-18 mo, 95% of IL-14alpha-transgenic mice developed CD5+ B cell lymphomas, consistent with the lymphomas seen in elderly patients with Sjögren's syndrome and SLE. These data support a role for IL-14alpha in the development of both autoimmunity and lymphomagenesis. These studies may provide a genetic link between these often related 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 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)0.000
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 score0.222
Threshold uncertainty score0.651

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.012
GPT teacher head0.225
Teacher spread0.213 · 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

Citations98
Published2006
Admission routes1
Has abstractyes

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