Evidence map›Paper›PMID 25522406›Full record

Trial reportThe international journal of neuropsychopharmacology2014

Schizophrenia gene expression profile reverted to normal levels by antipsychotics.

Benedicto Crespo-Facorro, Carlos Prieto, Jesus Sainz

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in The international journal of neuropsychopharmacology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

27 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Gene expression and response prediction to amisulpride in the OPTiMiSE first episode psychoses.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2020
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

3 authors.

Benedicto Crespo-FacorroUniversity Hospital Marqués de Valdecilla. Department of Medicine & Psychiatry. School of Medicine University of Cantabria-IDIVAL, Santander, Spain (Dr Crespo-Facorro); CIBERSAM, Centro Investigación Biomédica en Red Salud Mental, Madrid, Spain (Dr Crespo-Facorro); Spanish National Research Council (CSIC), Institute of Biomedicine and Biotechnology of Cantabria, Santander, Spain (Drs Prieto and Sainz).
Carlos PrietoUniversity Hospital Marqués de Valdecilla. Department of Medicine & Psychiatry. School of Medicine University of Cantabria-IDIVAL, Santander, Spain (Dr Crespo-Facorro); CIBERSAM, Centro Investigación Biomédica en Red Salud Mental, Madrid, Spain (Dr Crespo-Facorro); Spanish National Research Council (CSIC), Institute of Biomedicine and Biotechnology of Cantabria, Santander, Spain (Drs Prieto and Sainz).
Jesus SainzUniversity Hospital Marqués de Valdecilla. Department of Medicine & Psychiatry. School of Medicine University of Cantabria-IDIVAL, Santander, Spain (Dr Crespo-Facorro); CIBERSAM, Centro Investigación Biomédica en Red Salud Mental, Madrid, Spain (Dr Crespo-Facorro); Spanish National Research Council (CSIC), Institute of Biomedicine and Biotechnology of Cantabria, Santander, Spain (Drs Prieto and Sainz). sainzjv@unican.es.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite the widespread use of antipsychotics, little is known of the molecular bases behind the action of antipsychotic drugs. A genome-wide study is needed to characterize the genes that affect the clinical response and their adverse effects.

methodsHere we show the analysis of the blood transcriptome of 22 schizophrenia patients before and after medication with atypical antipsychotics by next-generation sequencing.

resultsWe found that 17 genes, among the 21 495 genes analyzed, have significantly-altered expression after medication (p-value adjusted [Padj] <0.05). Six genes (ADAMTS2, CD177, CNTNAP3, ENTPD2, RFX2, and UNC45B) out of the 17 are among the 200 genes that we characterized with differential expression in a previous study between antipsychotic-naïve schizophrenia patients and controls (Sainz et al., 2013). This number of schizophrenia-altered expression genes is significantly higher than expected by chance (Chi-test, Padj 1.19E-50), suggesting that at least part of the antipsychotic beneficial effects is exerted by modulating the expression of these genes. Interestingly, all six of these genes were overexpressed in patients and reverted to control levels of expression after treatment. We also found a significant enrichment of genes related to obesity and diabetes, known adverse affects of antipsychotics.

conclusionsThese results may facilitate understanding of unknown molecular mechanisms behind schizophrenia symptoms and the molecular mechanisms of antipsychotic drugs.

Indexed as

AdultAntipsychotic AgentsAripiprazoleBenzodiazepinesFemaleHumansLongitudinal StudiesMaleOlanzapinePiperazinesProspective StudiesPsychiatric Status Rating ScalesQuetiapine FumarateRisperidoneSchizophreniaThiazolesAntipsychotic AgentsAripiprazoleBenzodiazepinesOlanzapinePiperazinesQuetiapine FumarateRisperidoneThiazolesziprasidoneantipsychoticsgene differential expressionnext generation sequencingRNA profileschizophrenia

Identifiers

PMID25522406
PMCPMC4360232

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.