Evidence map›Paper›PMID 15173897›Full record

ArticleJournal of psychiatry & neuroscience : JPN2004

Impact of substance P receptor antagonism on the serotonin and norepinephrine systems: relevance to the antidepressant/anxiolytic response.

Pierre Blier, Gabriella Gobbi, Nasser Haddjeri, Luca Santarelli, Gina Mathew, René Hen

Open access · greenAbstract read
In one paragraph

Article in Journal of psychiatry & neuroscience : JPN, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 67 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 3 countries.

Pierre BlierUniversity of Ottawa Institute of Mental Health Research, Ottawa, ON. pblier@rohcg.on.ca
Gabriella Gobbi
Nasser Haddjeri
Luca Santarelli
Gina Mathew
René Hen
Columbia University · USMcGill University · CAUniversité Claude Bernard Lyon 1 · FRUniversity of Ottawa · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Substance P (neurokinin-1 [NK1]) receptor antagonists appear to be effective antidepressant and anxiolytic agents, as indicated in 3 double-blind clinical trials. In laboratory animals, they promptly attenuate the responsiveness of serotonin (5-hydroxytryptamine [5-HT]) and norepinephrine (NE) neurons to agonists of their cell-body autoreceptors, as is the case for some antidepressant drugs that are currently in clinical use. Long-term, but not subacute, antagonism of NK1 receptors in rats increases 5-HT transmission in the hippocampus, a property common to all antidepressant treatments tested thus far. This enhancement seems to be mediated by a time-dependent increase in the firing rate of 5-HT neurons. Mice with the NK1 receptor deleted from their genetic code also have an increased firing rate of 5-HT neurons. Taken together, these observations strongly suggest that NK1 antagonists could become a new class of antidepressant and anxiolytic agents.

Indexed as

Adrenergic alpha-AgonistsAnimalsAntiemeticsAnxietyAprepitantAutoreceptorsElectrophysiologyHippocampusLocus CoeruleusMajor Depressive DisorderMiceMice, Mutant StrainsMorpholinesNeurokinin-1 Receptor AntagonistsNorepinephrinePhenylephrineAdrenergic alpha-AgonistsAntiemeticsAprepitantAutoreceptorsMorpholinesNeurokinin-1 Receptor AntagonistsNorepinephrinePhenylephrineReceptors, Neurokinin-1SerotoninSubstance P

Identifiers

PMID15173897
PMCPMC400690
OpenAlexW2162738633

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.