Evidence map›Paper›PMID 32506121›Full record

ArticleSchizophrenia bulletin2020

The Trace Kynurenine, Cinnabarinic Acid, Displays Potent Antipsychotic-Like Activity in Mice and Its Levels Are Reduced in the Prefrontal Cortex of Individuals Affected by Schizophrenia.

Martina Ulivieri, Joanna Monika Wierońska, Luana Lionetto, Katiuscia Martinello, Paulina Cieslik, Agnieszka Chocyk, Martina Curto, Luisa Di Menna, Luisa Iacovelli, Anna Traficante and 13 more

Open access · bronzeAbstract read
In one paragraph

Article in Schizophrenia bulletin, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.4field-weighted citation impact, top 22% 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

21 citing papers in PubMed, 30 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

23 authors at 6 institutions in 3 countries.

Martina UlivieriI.R.C.C.S. Neuromed, Pozzilli, Italy.
Joanna Monika WierońskaInstitute of Pharmacology, Polish Academy of Sciences, Kraków, Poland.
Luana LionettoDepartment of Medical-Surgical Sciences and Translational Medicine, DiMA (Advanced Molecular Diagnosis), Sant'Andrea Hospital-Sapienza University, Rome, Italy.
Katiuscia MartinelloI.R.C.C.S. Neuromed, Pozzilli, Italy.
Paulina CieslikInstitute of Pharmacology, Polish Academy of Sciences, Kraków, Poland.
Agnieszka ChocykInstitute of Pharmacology, Polish Academy of Sciences, Kraków, Poland.
Martina CurtoDepartment of Neurology and Psychiatry, Sapienza University, Rome, Italy.
Luisa Di MennaI.R.C.C.S. Neuromed, Pozzilli, Italy.
Luisa IacovelliDepartment of Physiology and Pharmacology, Sapienza University, Rome, Italy.
Anna TraficanteI.R.C.C.S. Neuromed, Pozzilli, Italy.
Francesca LiberatoreDepartment of Physiology and Pharmacology, Sapienza University, Rome, Italy.
Giada MascioI.R.C.C.S. Neuromed, Pozzilli, Italy.
Nico AntenucciDepartment of Physiology and Pharmacology, Sapienza University, Rome, Italy.
Giuseppe GianninoSchool of Medicine and Psychology NESMOS Department, Sant'Andrea Hospital, Sapienza University, Rome, Italy.
Matteo VergassolaDepartment of Pharmacy, DiFAR, University of Genoa, Genoa, Italy.
Anna PittalugaDepartment of Pharmacy, DiFAR, University of Genoa, Genoa, Italy.
Valeria BrunoI.R.C.C.S. Neuromed, Pozzilli, Italy.
Giuseppe BattagliaI.R.C.C.S. Neuromed, Pozzilli, Italy.
Sergio FucileI.R.C.C.S. Neuromed, Pozzilli, Italy.
Maurizio SimmacoDepartment of Medical-Surgical Sciences and Translational Medicine, DiMA (Advanced Molecular Diagnosis), Sant'Andrea Hospital-Sapienza University, Rome, Italy.
Ferdinando NicolettiI.R.C.C.S. Neuromed, Pozzilli, Italy.
Andrzej PilcInstitute of Pharmacology, Polish Academy of Sciences, Kraków, Poland.
Francesco FazioI.R.C.C.S. Neuromed, Pozzilli, Italy.
Sapienza University of Rome · ITIstituto Neurologico Mediterraneo · ITPolish Academy of Sciences · PLUniversity of Genoa · ITAzienda Ospedaliera Sant'Andrea · ITMaj Institute of Pharmacology · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cinnabarinic acid (CA) is a kynurenine metabolite that activates mGlu4 metabotropic glutamate receptors. Using a highly sensitive ultra-performance liquid chromatography/tandem mass spectrometry (UPLC/MS-MS) method, we found that CA is present in trace amounts in human brain tissue. CA levels were largely reduced in the prefrontal cortex (PFC) of individuals affected by schizophrenia. This reduction did not correlate with age, sex, duration of the disease, and duration and type of antipsychotic medication and might, therefore, represent a trait of schizophrenia. Interestingly, systemic treatment with low doses of CA (<1 mg/kg, i.p.) showed robust efficacy in several behavioral tests useful to study antipsychotic-like activity in mice and rats and attenuated MK-801-evoked glutamate release. CA failed to display antipsychotic-like activity and inhibit excitatory synaptic transmission in mice lacking mGlu4 receptors. These findings suggest that CA is a potent endogenous antipsychotic-like molecule and reduced CA levels in the PFC might contribute to the pathophysiology of schizophrenia.

Indexed as

Receptors, Metabotropic GlutamateAdultAnimalsAntipsychotic AgentsBehavior, AnimalCells, CulturedDisease Models, AnimalElectrophysiological PhenomenaFemaleHumansKynurenineMaleMiceMice, Inbred C57BLMice, KnockoutMiddle AgedAntipsychotic Agentscinnabarinic acidKynureninemetabotropic glutamate receptor 4OxazinesReceptors, Metabotropic Glutamatebehaviorelectrophysiologyendogenous metaboliteHPLC-masshuman tissuekynurenine pathwaymassmetabotropic glutamate receptorMK-801mood disorder

Identifiers

PMID32506121
PMCPMC7846105
OpenAlexW3033510249

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.