Evidence map›Paper›PMID 24567721›Full record

ArticleFrontiers in pharmacology2014

Effects of cannabinoid drugs on the deficit of prepulse inhibition of startle in an animal model of schizophrenia: the SHR strain.

Raquel Levin, Fernanda F Peres, Valéria Almeida, Mariana B Calzavara, Antonio W Zuardi, Jaime E C Hallak, José Alexandre S Crippa, Vanessa C Abílio

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pharmacology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
8.1field-weighted citation impact, top 2% 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

40 citing papers in PubMed, 73 citations in OpenAlex.

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  14. Effects of combined 5-HTPsychopharmacology · 2020
    Article
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  18. Cannabinoids and glial cells: possible mechanism to understand schizophrenia.European archives of psychiatry and clinical neuroscience · 2018
    Review
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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

8 authors at 2 institutions in 1 country.

Raquel LevinDepartment of Pharmacology, Federal University of São Paulo São Paulo, Brazil ; Laboratório Interdisciplinar de Neurociãncias Clínicas, Department of Psychiatry, Federal University of São Paulo São Paulo, Brazil.
Fernanda F PeresDepartment of Pharmacology, Federal University of São Paulo São Paulo, Brazil ; Laboratório Interdisciplinar de Neurociãncias Clínicas, Department of Psychiatry, Federal University of São Paulo São Paulo, Brazil.
Valéria AlmeidaDepartment of Pharmacology, Federal University of São Paulo São Paulo, Brazil ; Laboratório Interdisciplinar de Neurociãncias Clínicas, Department of Psychiatry, Federal University of São Paulo São Paulo, Brazil.
Mariana B CalzavaraLaboratório Interdisciplinar de Neurociãncias Clínicas, Department of Psychiatry, Federal University of São Paulo São Paulo, Brazil.
Antonio W ZuardiDepartment of Neuroscience and Behavior, University of São Paulo Ribeirão Preto, Brazil ; National Institute of Science and Technology in Translational Medicine, National Council for Scientific and Technological Development Ribeirão Preto, Brazil.
Jaime E C HallakDepartment of Neuroscience and Behavior, University of São Paulo Ribeirão Preto, Brazil ; National Institute of Science and Technology in Translational Medicine, National Council for Scientific and Technological Development Ribeirão Preto, Brazil.
José Alexandre S CrippaDepartment of Neuroscience and Behavior, University of São Paulo Ribeirão Preto, Brazil ; National Institute of Science and Technology in Translational Medicine, National Council for Scientific and Technological Development Ribeirão Preto, Brazil.
Vanessa C AbílioDepartment of Pharmacology, Federal University of São Paulo São Paulo, Brazil ; Laboratório Interdisciplinar de Neurociãncias Clínicas, Department of Psychiatry, Federal University of São Paulo São Paulo, Brazil.
Universidade Federal de São Paulo · BRNational Council for Scientific and Technological Development · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clinical and neurobiological findings suggest that the cannabinoids and the endocannabinoid system may be implicated in the pathophysiology and treatment of schizophrenia. We described that the spontaneously hypertensive rats (SHR) strain presents a schizophrenia behavioral phenotype that is specifically attenuated by antipsychotic drugs, and potentiated by proschizophrenia manipulations. Based on these findings, we have suggested this strain as an animal model of schizophrenia. The aim of this study was to evaluate the effects of cannabinoid drugs on the deficit of prepulse inhibition (PPI) of startle, the main paradigm used to study sensorimotor gating impairment related to schizophrenia, presented by the SHR strain. The following drugs were used: (1) WIN55212,2 (cannabinoid agonist), (2) rimonabant (CB1 antagonist), (3) AM404 (anandamide uptake inhibitor), and (4) cannabidiol (CBD; indirect CB1/CB2 receptor antagonist, among other effects). Wistar rats (WRs) and SHRs were treated with vehicle (VEH) or different doses of WIN55212 (0.3, 1, or 3 mg/kg), rimonabant (0.75, 1.5, or 3 mg/kg), AM404 (1, 5, or 10 mg/kg), or CBD (15, 30, or 60 mg/kg). VEH-treated SHRs showed a decreased PPI when compared to WRs. This PPI deficit was reversed by 1 mg/kg WIN and 30 mg/kg CBD. Conversely, 0.75 mg/kg rimonabant decreased PPI in SHR strain, whereas AM404 did not modify it. Our results reinforce the role of the endocannabinoid system in the sensorimotor gating impairment related to schizophrenia, and point to cannabinoid drugs as potential therapeutic strategies.

Indexed as

animal modelcannabinoid drugsPPIschizophreniaSHR

Identifiers

PMID24567721
PMCPMC3915876
OpenAlexW2027183477

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.