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Record W4248221964 · doi:10.1538/expanim.61.202

[no title]

2012· article· en· W4248221964 on OpenAlexaff
Yoichiro Iwakura

Bibliographic record

VenueEXPERIMENTAL ANIMALS · 2012
Typearticle
Languageen
Field
Topic
Canadian institutionsInstitute for Biological Sciences
Fundersnot available
KeywordsChemistry

Abstract

fetched live from OpenAlex

EMBO J. in 1988.Then, I generated Tg mice carrying the tax gene of HTLV-I, which is the causative agent of adult T cell leukemia.Because these transgenic mice spontaneously developed autoimmune arthritis resembling rheumatoid arthritis in humans, I suggested that HTLV-I is one of etiological agents of rheumatoid arthritis (Science, 1991).Through the analysis of these Tg mice, I found that Tax-induced IL-1 might play a critical role in the pathogenesis of arthritis.Then, we knocked out all ��������������������������������������������������������������������������������������������������������������������������������� in the febrile response and glucocorticoid induction under stress (J.Exp.Med., 1988).Furthermore, we found that IL-1Ra-����������������������������������������������������������������������������������������������������������J.Exp.Med., 2000; ����������������������������������������������������������������������������������������������������������������������������� TNF is a good candidate for the treatment of these diseases (J.Clin.Invest., ���������������������������������������������� because this gene expression was enhanced in both HTLV-I Tg and IL-1Ra KO mice.We showed that the development of arthritis was strongly suppressed in IL-17 KO mice, suggesting that IL-17 plays a critical role in the development of arthritis (Immunity, 2002; PNAS, 2003).Furthermore, we showed that IL-17F, the molecule with the highest homology with IL-17A in the same family, is important for the host defense against microbial mucoepithelial infection (Immunity, 2009; Immunity, 2011).To further analyze the mechanisms of the development of autoimmunity and arthritis, we knocked out genes which were highly expressed in arthritic joints.Among them, we showed that Dectin-1 and Dectin-2, C-type lectin receptors, is the receptor for �������������������������������������������������������������������������������������������������������������Nat.Immunol., 2007).Interestingly, Th17 cell differentiation was preferentially induced by these signals, suggesting that fungal infection may cause autoimmunity (Immunity, 2010).We also showed that KO mice of Dcir, another C-type lectin family member, develop autoimmune enthesitis and sialadenitis (Nat.Med., 2008).These results indicate that non-TLR innate immune molecules such as C-type lectins are important for the regulation of the acquired immune system and can be a good target for the treatment of autoimmune diseases.Taken together, I could show through these studies that gene manipulated mice are useful for the development of disease models and analysis of the pathogenic mechanisms.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.699
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.001
Science and technology studies0.0020.002
Scholarly communication0.0050.003
Open science0.0020.002
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.3010.230

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 head0.043
GPT teacher head0.336
Teacher spread0.292 · 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 source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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
Published2012
Admission routes1
Has abstractyes

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