ArticleFrontiers in molecular neuroscience2018
Blood Gene Expression Profile Predicts Response to Antipsychotics.
Article in Frontiers in molecular neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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.
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.
Who cites it
12 citing papers in PubMed.
- Lurasidone Improves Psychopathology and Cognition in Treatment-Resistant Schizophrenia.Journal of clinical psychopharmacologyTrial
- Three-week effect of amisulpride, aripiprazole, and olanzapine on gene expression in peripheral blood in individuals with schizophrenia spectrum disorders.The international journal of neuropsychopharmacology · 2026Article
- Decoding psychotropic-induced metabolic disturbances: gut-brain axis, multi-omics, and nutrition-lifestyle integration.Frontiers in nutrition · 2026Review
- Clinical Utility and Implementation of Pharmacogenomics for the Personalisation of Antipsychotic Treatments.Pharmaceutics · 2024Review
- Patients with schizophrenia and bipolar disorder display a similar global gene expression signature in whole blood that reflects elevated proportion of immature neutrophil cells with association to lipid changes.Translational psychiatry · 2023Article
- Characterization of early psychosis patients carrying a genetic vulnerability to redox dysregulation: a computational analysis of mechanism-based gene expression profile in fibroblasts.Molecular psychiatry · 2023Article
- mRNA Expression of the CUB and Sushi Multiple Domains 1 (ACS omega · 2021Article
- Gene expression and response prediction to amisulpride in the OPTiMiSE first episode psychoses.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2020Article
- Overdispersed gene expression in schizophrenia.NPJ schizophrenia · 2020Article
- EEG Microstate Differences in Medicated vs. Medication-Naïve First-Episode Psychosis Patients.Frontiers in psychiatry · 2020Article
- Altered expression of the CSMD1 gene in the peripheral blood of schizophrenia patients.BMC psychiatry · 2019Article
- Altered gene expression in antipsychotic-induced weight gain.NPJ schizophrenia · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Antipsychotic drugs are one of the largest types of prescribed drugs and have large inter-individual differences in efficacy, but there is no methodology to predict their clinical effect. Here we show a four-gene blood expression profile to predict the response to antipsychotics in schizophrenia patients before treatment. We sequenced total mRNA from blood samples of antipsychotic naïve patients who, after 3 months of treatment, were in the top 40% with the best response (15 patients) and in the bottom 40% with the worst response (15 patients) according to the Brief Psychiatric Rating Scale (BPRS). We characterized the transcriptome before treatment of these 30 patients and found 130 genes with significant differential expression (
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.