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Record W2089754323 · doi:10.2174/1568026611313030012

Multiple Roles of Transient Receptor Potential (TRP) Channels in Inflammatory Conditions and Current Status of Drug Development

2013· review· en· W2089754323 on OpenAlexaff
Olivier Radresa, Michel Paré, Jeffrey S. Albert

Bibliographic record

VenueCurrent Topics in Medicinal Chemistry · 2013
Typereview
Languageen
FieldNeuroscience
TopicIon Channels and Receptors
Canadian institutionsCentre for Interdisciplinary Research in Rehabilitation
Fundersnot available
KeywordsTransient receptor potential channelDrug developmentTransient (computer programming)Current (fluid)DrugPharmacologyChemistryReceptorMedicineComputer scienceBiochemistryPhysics

Abstract

fetched live from OpenAlex

During inflammation, several Transient Receptor Potential (TRP) channels are directly or indirectly activated by inflammatory signaling molecules and microenvironmental changes including heat, oxidative conditions or low pH. In either case, specific TRP isoforms participate in chains of pro- or anti-inflammatory signaling cascades often including activation of transcription factors, protein kinases and phospholipases, which result in signal integration or amplification. In a few cases, their potentials as therapeutic targets for inflammatory conditions like pruritis, cystitis, dermatitis, asthma among other conditions are investigated pre-clinically or clinically by pioneering academic groups and industries. Significant efforts are still devoted to the understanding of the detailed physiological roles played by TRP channels during inflammation. This review intends to summarize key biological findings and reports of drug discovery activities when available, in an overview of the current status and recent developments in the field.

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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.937
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.052
GPT teacher head0.332
Teacher spread0.280 · 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 designOther design
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

Citations12
Published2013
Admission routes1
Has abstractyes

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