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Record W2021226471 · doi:10.1159/000138512

Receptors for Substance P and Related Neurokinins

2008· review· en· W2021226471 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePharmacology · 2008
Typereview
Languageen
FieldNeuroscience
TopicNeuropeptides and Animal Physiology
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsNeurokinin BEledoisinNeurokinin AReceptorSubstance PAgonistTachykinin receptorChemistryBiologyAcetylcholine receptorInternal medicineEndocrinologyNeuropeptideBiochemistryMedicine

Abstract

fetched live from OpenAlex

The most widely used smooth muscle preparations for neurokinin bioassays have been critically analyzed in order to determine whether neurokinins act directly or by the intermediary of other natural agents. Indeed, part of the contraction of the GPI in response to neurokinins appears to be mediated by acetylcholine and possibly prostaglandins. Active metabolites of the arachidonic acid cascade also intervene in the response of the HUB. Neurokinins produce relaxation of the DCA by stimulating the release of a vascular smooth muscle relaxing factor from the endothelium. In the other preparations (the RD, the RPA without endothelium and the RPV) neurokinins may act directly on the smooth muscle fibers. Neurokinins produce their biological effects by activating specific receptors. Three different receptor types, one for each mammalian neurokinin, have been identified by using four groups of natural peptide sequences and some selective agonists. The receptor for SP is particularly sensitive to SP and physalaemin and shows higher affinity for the whole natural peptides (SP, NKA) than for their C-terminal fragments. The receptor for neurokinin A is highly sensitive to NKA and eledoisin: it shows high affinity for heptapeptide fragments such as NKA4-10 and SP5-11. The receptor for NKB is sensitive to NKB and kassinin more than to the other natural peptides and their fragments. The natural peptides show however little selectivity. Synthetic analogues active on a single receptor type (selective agonists) have been used to find out whether the responses of the isolated organs are due to the activation of one or more than one receptor. It has been found that the GPI, the RD and the HUB contain all three or at least two receptors, while the DCA has only the NK1, the RPA has only the NK2 and the RPV only the NK3 type. Binding sites specific for each neurokinin have been identified in brain and peripheral organs with accurate biochemical assays, using labeled neurokinins. Competitive displacement assays have been performed with a variety of neurokinin-related peptides, and their Ki have been determined. By plotting Ki values against the ED50, estimated from biological assays, positive significant correlations have been found for the monoreceptor (DCA, RPA, RPV) but not for the multiple receptor systems (GPI, RD, HUB). This suggests that pharmacological receptors may be identical with the recognition sites which bind the labeled neurokinins. The availability of monoreceptor systems and of selective agonists opens the way for the identification of potential antagonists and accurate estimation of their affinities.(ABSTRACT TRUNCATED AT 250 WORDS)

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.

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 score0.933
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 head0.122
GPT teacher head0.385
Teacher spread0.263 · 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