Evidence map›Paper›PMID 30408108›Full record

ArticlePloS one2018

Vulnerable combinations of functional dopaminergic polymorphisms to late-onset treatment resistant schizophrenia.

Kengo Oishi, Nobuhisa Kanahara, Masayuki Takase, Yasunori Oda, Yusuke Nakata, Tomihisa Niitsu, Masatomo Ishikawa, Yasunori Sato, Masaomi Iyo

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Dopamine supersensitivity psychosis: a critical evaluation of diagnostic validators.Journal of neural transmission (Vienna, Austria : 1996) · 2026
    Review
  2. Review
  3. Article
  4. Article
  5. Genetic risks of schizophrenia identified in a matched case-control study.European archives of psychiatry and clinical neuroscience · 2021
    Article
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

9 authors at 2 institutions in 2 countries.

Kengo OishiDepartment of Psychiatry, Chiba University Graduate School of Medicine, Chuou-ku, Chiba, Chiba, Japan.ORCID 0000-0002-0132-7270
Nobuhisa KanaharaDivision of Medical Treatment and Rehabilitation, Chiba University Center for Forensic Mental Health, Chuou-ku, Chiba, Chiba, Japan.
Masayuki TakaseDepartment of Psychiatry, Chiba University Graduate School of Medicine, Chuou-ku, Chiba, Chiba, Japan.ORCID 0000-0002-4988-1908
Yasunori OdaDepartment of Psychiatry, Chiba University Graduate School of Medicine, Chuou-ku, Chiba, Chiba, Japan.
Yusuke NakataDepartment of Psychiatry, Chiba University Graduate School of Medicine, Chuou-ku, Chiba, Chiba, Japan.
Tomihisa NiitsuDepartment of Psychiatry, Chiba University Graduate School of Medicine, Chuou-ku, Chiba, Chiba, Japan.
Masatomo IshikawaDepartment of Psychiatry, Chiba University Graduate School of Medicine, Chuou-ku, Chiba, Chiba, Japan.
Yasunori SatoDepartment of Global Clinical Research, Chiba University Graduate School of Medicine, Chuou-ku, Chiba, Chiba, Japan.
Masaomi IyoDepartment of Psychiatry, Chiba University Graduate School of Medicine, Chuou-ku, Chiba, Chiba, Japan.
Chiba University · JPCenter for Forensic Mental Health, Chiba University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA significant portion of patients with schizophrenia who respond to initial antipsychotic treatment acquire treatment resistance. One of the possible pathogeneses of treatment-resistant schizophrenia (TRS) is antipsychotic-induced dopamine supersensitivity psychosis (Ai-DSP). Patients with this disease progression might share some genetic vulnerabilities, and thus determining individuals with higher risks of developing Ai-DSP could contribute to preventing iatrogenic development of TRS. Therefore, we decided to examine whether combinations of functional single nucleotide polymorphisms (SNPs) known to affect dopaminergic functions are related to Ai-DSP development.

methodsIn this case-control study, 357 Japanese participants diagnosed with schizophrenia or schizoaffective disorder were recruited and divided into two groups, those with and without Ai-DSP. As functional SNPs, we examined rs10770141 of the tyrosine hydroxylase gene, rs4680 of the catechol-O-methyltransferase gene, and rs1799732 and rs1800497 of the DRD2 genes, which are known to possess strong directional ties to dopamine synthesis, dopamine degradation and post-synaptic DRD2 prevalence, respectively.

resultsAmong the 357 Japanese patients with schizophrenia or schizoaffective disorder, 130 were classified as Ai-DSP(+) and the other 227 as Ai-DSP(-). Significantly higher proportions of Ai-DSP(+) patients were found to have the SNP combinations of rs10770141/rs4680 (57.9%, OR2.654, 95%CI1.036-6.787, P = 0.048) and rs10770141/rs4680/ rs1800497 (64.3%, OR4.230, 95%CI1.306-13.619, P = 0.029). However, no single SNP was associated with Ai-DSP.

conclusionsWe preliminarily found that carrying particular combinations of functional SNPs, which are related to relatively higher dopamine synthesis and dopamine degradation and lower naïve DRD2, might indicate vulnerability to development of Ai-DSP. However, further studies are needed to validate the present results.

Indexed as

AdolescentAdultAgedAged, 80 and overAge of OnsetAntipsychotic AgentsCase-Control StudiesCatechol O-MethyltransferaseDrug ResistanceFemaleGenetic Association StudiesGenetic Predisposition to DiseaseHumansMaleMiddle AgedPharmacogenomic VariantsAntipsychotic AgentsCatechol O-MethyltransferaseCOMT protein, humanDRD2 protein, humanReceptors, Dopamine D2Tyrosine 3-Monooxygenase

Identifiers

PMID30408108
PMCPMC6224074
OpenAlexW2899742105

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.