Evidence map›Paper›PMID 32450569›Full record

ArticleNeuropsychopharmacology : official publication of the American College of Neuropsychopharmacology2020

Gene expression and response prediction to amisulpride in the OPTiMiSE first episode psychoses.

Réjane Troudet, Wafa Bel Haj Ali, Delphine Bacq-Daian, Inge Winter van Rossum, Anne Boland-Auge, Christophe Battail, Caroline Barau, OPTiMiSE study group, Dan Rujescu, Philip McGuire and 4 more

Open access · bronzeAbstract read
In one paragraph

Article in Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 30% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. 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

14 authors at 7 institutions in 5 countries.

Réjane TroudetInserm U955, Psychiatrie Translationnelle, Créteil, France.
Wafa Bel Haj AliInserm U955, Psychiatrie Translationnelle, Créteil, France.
Delphine Bacq-DaianCentre National de Recherche en Génomique Humaine (CNRGH), Institut de Biologie François Jacob, CEA, Université Paris-Saclay, Evry, France.
Inge Winter van RossumDepartment of Psychiatry, Brain Center Rudolf Magnus, Utrecht, Netherlands.
Anne Boland-AugeCentre National de Recherche en Génomique Humaine (CNRGH), Institut de Biologie François Jacob, CEA, Université Paris-Saclay, Evry, France.ORCID http://orcid.org/0000-0001-8789-5676
Christophe BattailCentre National de Recherche en Génomique Humaine (CNRGH), Institut de Biologie François Jacob, CEA, Université Paris-Saclay, Evry, France.
Caroline BarauAP-HP, Hôpital H. Mondor-A. Chenevier, Plateforme de Ressources Biologiques, Créteil, France.
OPTiMiSE study group
Dan RujescuDepartment of Psychiatry, University Hospital Halle, Halle, Germany.
Philip McGuireDepartment of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
René S KahnDepartment of Psychiatry, Brain Center Rudolf Magnus, Utrecht, Netherlands.
Jean-François DeleuzeCentre National de Recherche en Génomique Humaine (CNRGH), Institut de Biologie François Jacob, CEA, Université Paris-Saclay, Evry, France.
Marion LeboyerInserm U955, Psychiatrie Translationnelle, Créteil, France.
Stéphane JamainInserm U955, Psychiatrie Translationnelle, Créteil, France. stephane.jamain@inserm.fr.ORCID http://orcid.org/0000-0002-4321-4100
Inserm · FRCommissariat à l'Énergie Atomique et aux Énergies Alternatives · FRKing's College London · GBHersenstichting · NLAssistance Publique – Hôpitaux de Paris · FRFondation FondaMental · FRUniversity Hospital in Halle · DE

Funding

Agence Nationale de la Recherche (French National Research Agency) ANR-11-IDEX-0004-02EC | EC Seventh Framework Programm | FP7 Health (FP7-HEALTH - Specific Programme "Cooperation": Health) HEALTH-F2-2010-242114Fondation pour la Recherche Médicale (Foundation for Medical Research in France) FDM20151234954
6 · The paper itself

Abstract

A fundamental shortcoming in the current treatment of schizophrenia is the lack of valid criteria to predict who will respond to antipsychotic treatment. The identification of blood-based biological markers of the therapeutic response would enable clinicians to identify the subgroup of patients in whom conventional antipsychotic treatment is ineffective and offer alternative treatments. As part of the Optimisation of Treatment and Management of Schizophrenia in Europe (OPTiMiSE) programme, we conducted an RNA-Seq analysis on 188 subjects with first episode psychosis, all of whom were subsequently treated with amisulpride for 4 weeks. We compared gene expression on total RNA from patients' blood before and after treatment and identified 32 genes for which the expression changed after treatment in good responders only. These findings were replicated in an independent sample of 24 patients with first episode psychosis. Six genes showed a significant difference in expression level between good and poor responders before starting treatment, allowing to predict treatment outcome with a predictive value of 93.8% when combined with clinical features. Collectively, these findings identified new mechanisms to explain symptom improvement after amisulpride medication and highlight the potential of combining gene expression profiling with clinical data to predict treatment response in first episode psychoses.

Indexed as

Antipsychotic AgentsPsychotic DisordersAmisulprideEuropeGene ExpressionHumansTreatment OutcomeAmisulprideAntipsychotic Agents

Identifiers

PMID32450569
PMCPMC7421408
OpenAlexW3027009493

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.