Evidence map›Paper›PMID 23432438›Full record

ReviewBritish journal of clinical pharmacology2014

Neuropeptide receptors as potential drug targets in the treatment of inflammatory conditions.

Erika Pintér, Gábor Pozsgai, Zsófia Hajna, Zsuzsanna Helyes, János Szolcsányi

Open access · bronzeAbstract readReview
In one paragraph

Review in British journal of clinical pharmacology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

39 citing papers in PubMed, 68 citations in OpenAlex.

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  14. Human Somatostatin SSTInternational journal of molecular sciences · 2021
    Article
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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

5 authors at 1 institution in 1 country.

Erika PintérDepartment of Pharmacology and Pharmacotherapy, Faculty of Medicine, University of Pécs, Szigeti u. 12., H-7624, Pécs, Hungary; János Szentágothai Research Centre, University of Pécs, Ifjúság u. 20., H-7624, Pécs, Hungary.
Gábor Pozsgai
Zsófia Hajna
Zsuzsanna Helyes
János Szolcsányi
University of Pecs · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cross-talk between the nervous, endocrine and immune systems exists via regulator molecules, such as neuropeptides, hormones and cytokines. A number of neuropeptides have been implicated in the genesis of inflammation, such as tachykinins and calcitonin gene-related peptide. Development of their receptor antagonists could be a promising approach to anti-inflammatory pharmacotherapy. Anti-inflammatory neuropeptides, such as vasoactive intestinal peptide, pituitary adenylate cyclase-activating polypeptide, α-melanocyte-stimulating hormone, urocortin, adrenomedullin, somatostatin, cortistatin, ghrelin, galanin and opioid peptides, are also released and act on their own receptors on the neurons as well as on different inflammatory and immune cells. The aim of the present review is to summarize the most prominent data of preclinical animal studies concerning the main pharmacological effects of ligands acting on the neuropeptide receptors. Promising therapeutic impacts of these compounds as potential candidates for the development of novel types of anti-inflammatory drugs are also discussed.

Indexed as

AnimalsAnti-Inflammatory AgentsHumansInflammationInflammation MediatorsMolecular Targeted TherapyReceptors, NeuropeptideAnti-Inflammatory AgentsInflammation MediatorsReceptors, Neuropeptidecalcitonin gene-related peptidecortistatingalaninpituitary adenylate cyclase-activating polypeptidesomatostatintachykinin

Identifiers

PMID23432438
PMCPMC3895342
OpenAlexW1577289413

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.