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Record W2155030437 · doi:10.2174/09298673113206660260

Radiotracers for Molecular Imaging of Cyclooxygenase-2 (COX-2) Enzyme

2013· review· en· W2155030437 on OpenAlexafffund
Ole Tietz, Alison Marshall, Melinda Wuest, M. Wang, Frank Wuest

Bibliographic record

VenueCurrent Medicinal Chemistry · 2013
Typereview
Languageen
FieldMedicine
TopicInflammatory mediators and NSAID effects
Canadian institutionsUniversity of Alberta
FundersCanadian Institutes of Health Research
KeywordsPositron emission tomographyCyclooxygenaseMedicineSingle-photon emission computed tomographyMolecular imagingEmission computed tomographyNeuroscienceChemistryEnzymeNuclear medicineBiologyBiochemistryIn vivo

Abstract

fetched live from OpenAlex

Cyclooxygenase (COX) enzyme is responsible for the formation of important biological mediators including prostaglandins, prostacyclin and thromboxane to trigger many physiological and patho-physiological responses. COXs exist in two distinct isoforms, a constitutively expressed form (COX-1) and an inducible form (COX-2). COX-2 is involved in the body's response to inflammation and pain. Moreover, it has also been shown that COX-2 is overexpressed in many human cancers, and that COX-2 is involved in various neurodegenerative diseases such as Parkinson's and Alzheimer's disease. COX-2 inhibitors are among the most widely used therapeutics for the treatment of chronic and acute pain and inflammation. Non-invasive monitoring of COX-2 functional expression by means of nuclear molecular imaging techniques like positron emission tomography (PET) and single photon emission computed tomography (SPECT) might provide unique opportunities to obtain data on COX-2 expression levels during disease manifestation and progression to study potential roles of COX-2 under various pathological conditions. The present review summarizes recent research efforts directed to the design and synthesis of radiotracers as molecular probes with special emphasis on COX-2 imaging.

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)0.001
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 score0.931
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
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)0.0000.000

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 head0.035
GPT teacher head0.356
Teacher spread0.321 · 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

Citations37
Published2013
Admission routes2
Has abstractyes

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