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Record W2127551338 · doi:10.2174/187152809788462626

Syk: A Novel Target for Treatment of Inflammation in Lung Disease

2009· review· en· W2127551338 on OpenAlexaff
Michael P. Sanderson, Christine Lau, Andreas Schnapp, Chung‐Wai Chow

Bibliographic record

VenueInflammation & Allergy - Drug Targets · 2009
Typereview
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsUniversity of New BrunswickCanada Research ChairsUniversity of Toronto
Fundersnot available
KeywordsSykImmunologyMedicineImmune systemInflammationInnate immune systemContext (archaeology)Cancer researchTyrosine kinaseReceptorBiologyInternal medicine

Abstract

fetched live from OpenAlex

Spleen Tyrosine Kinase (Syk) is widely expressed in the immune system and functions in the transmission of inflammatory signals via ITAM-bearing cell surface receptors. The broad expression pattern and importance of Syk in regulating innate immunity and the inflammatory response have led to significant interest from the pharmaceutical industry to developing anti-Syk therapeutics for the treatment of inflammatory disorders such as allergic rhinitis and rheumatoid arthritis. While the function and regulation of Syk has been well-described in leukocytes, where its primary role is an early transducer of signaling following immunoreceptor engagement, Syk has recently been described in non-immune cells, such as the airway epithelium, that also play an important role in mediating the inflammatory response. This manuscript will focus on the expression and function of Syk in the context of inflammatory lung diseases, and review recent data that have demonstrated novel roles for Syk in airway epithelial cells, particularly its role in mediating the human rhinovirus (HRV) induced inflammatory response and viral cell entry. In addition, data describing the efficacy of novel Syk inhibitors in the management of inflammatory diseases in animal models and early clinical trials are also reviewed.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.985
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.000
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 head0.028
GPT teacher head0.322
Teacher spread0.294 · 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.

Study designNot applicable
Domainnot available
GenreReview

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

Citations19
Published2009
Admission routes1
Has abstractyes

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