Evidence map›Paper›PMID 19758435›Full record

ArticleBMC psychiatry2009

Effects of typical and atypical antipsychotic drugs on gene expression profiles in the liver of schizophrenia subjects.

Kwang H Choi, Brandon W Higgs, Serge Weis, Jonathan Song, Ida C Llenos, Jeannette R Dulay, Robert H Yolken, Maree J Webster

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMC psychiatry, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 18% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Pharmaco-Multiomics: A New Frontier in Precision Psychiatry.International journal of molecular sciences · 2025
    Review
  5. Article
  6. Effects of antipsychotic drugs on energy metabolism.European archives of psychiatry and clinical neuroscience · 2024
    Article
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  8. Review
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  10. Review
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  18. Article
  19. Review
  20. A hypothesis-driven association study of 28 nuclear-encoded mitochondrial genes with antipsychotic-induced weight gain in schizophrenia.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2014
    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

8 authors at 3 institutions in 1 country.

Kwang H ChoiStanley Laboratory of Brain Research, Rockville, MD 20850, USA. choik@stanleyresearch.org
Brandon W Higgs
Serge Weis
Jonathan Song
Ida C Llenos
Jeannette R Dulay
Robert H Yolken
Maree J Webster
Stanley Medical Research Institute · USUniformed Services University of the Health Sciences · USJohns Hopkins University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough much progress has been made on antipsychotic drug development, precise mechanisms behind the action of typical and atypical antipsychotics are poorly understood.

methodsWe performed genome-wide expression profiling to study effects of typical antipsychotics and atypical antipsychotics in the postmortem liver of schizophrenia patients using microarrays (Affymetrix U133 plus2.0). We classified the subjects into typical antipsychotics (n = 24) or atypical antipsychotics (n = 26) based on their medication history, and compared gene expression profiles with unaffected controls (n = 34). We further analyzed individual antipsychotic effects on gene expression by sub-classifying the subjects into four major antipsychotic groups including haloperidol, phenothiazines, olanzapine and risperidone.

resultsTypical antipsychotics affected genes associated with nuclear protein, stress responses and phosphorylation, whereas atypical antipsychotics affected genes associated with golgi/endoplasmic reticulum and cytoplasm transport. Comparison between typical antipsychotics and atypical antipsychotics further identified genes associated with lipid metabolism and mitochondrial function. Analyses on individual antipsychotics revealed a set of genes (151 transcripts, FDR adjusted p < 0.05) that are differentially regulated by four antipsychotics, particularly by phenothiazines, in the liver of schizophrenia patients.

conclusionTypical antipsychotics and atypical antipsychotics affect different genes and biological function in the liver. Typical antipsychotic phenothiazines exert robust effects on gene expression in the liver that may lead to liver toxicity. The genes found in the current study may benefit antipsychotic drug development with better therapeutic and side effect profiles.

Indexed as

AdultAntipsychotic AgentsBiological TransportDrug Administration ScheduleFemaleGene ExpressionGene Expression ProfilingHumansLipid MetabolismLiverMaleMiddle AgedMitochondria, LiverNuclear ProteinsPharmacogeneticsPhenothiazinesAntipsychotic AgentsNuclear ProteinsPhenothiazines

Identifiers

PMID19758435
PMCPMC2749837
OpenAlexW2119867997

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.