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Record W2041050466 · doi:10.1007/s00005-010-0082-1

Recent Developments in Immune Activation by Uric Acid Crystals

2010· review· en· W2041050466 on OpenAlexaff
Gilbert Ng, Elaine M. T. Chau, Yan Shi

Bibliographic record

VenueArchivum Immunologiae et Therapiae Experimentalis · 2010
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammasome and immune disorders
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsInflammasomeUric acidInflammationImmune systemGoutInnate immune systemAdjuvantMechanism (biology)ChemistryAlumEndogenyImmunologyBiologyBiochemistry

Abstract

fetched live from OpenAlex

Uric acid crystals, the causative agent of gout, have recently gained widespread attention due to their role as a natural endogenous adjuvant. Uric acid crystals, first sensed extracellularly by membrane lipid alterations, are internalized and subsequently activate the NLRP3 inflammasome. Currently, various aspects of this particular novel pathway are poorly defined. This short review will focus on some recent discoveries regarding this simple crystalline structure and address areas requiring further investigation. The fact that uric acid crystals activate innate host defense mechanisms, triggering robust inflammation and immune activation, may lead to engineering potent adjuvants for future vaccines. Furthermore, the elucidation of uric acid's mechanism of inflammation may lay the foundation for other solid inflammatory structures such as silica, asbestos, and alum.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.019
GPT teacher head0.315
Teacher spread0.297 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations18
Published2010
Admission routes1
Has abstractyes

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