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Comparative Study
. 2009 Sep 16:9:57.
doi: 10.1186/1471-244X-9-57.

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

Affiliations
Comparative Study

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

Kwang H Choi et al. BMC Psychiatry. .

Abstract

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

Methods: We 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.

Results: Typical 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.

Conclusion: Typical 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.

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Figures

Figure 1
Figure 1
Individual demographic and clinical variable analyses. Three variables including refrigerator time, PMI and rate of death affected more than 1% of the transcripts in the liver (fold change >1.3 and p < 0.001). Other variables such as mRNA quality, heavy drug use, heavy alcohol use, gender and suicide status affected the expression levels in the range of 0.5-1%.
Figure 2
Figure 2
Genes associated with the nuclear protein function are differentially regulated in the typical AP group compared to the control group. Each gene is plotted with fold change and 95% confidence intervals. Green: p < 0.001 and red: p < 0.0001
Figure 3
Figure 3
Genes associated with the golgi/endoplasmic reticulum transport are up-regulated in the atypical AP group compared to the control group. Each gene is plotted with fold change and 95% confidence intervals. Green: p < 0.001 and red: p < 0.0001
Figure 4
Figure 4
Genes associated with the lipid metabolism are down-regulated in the typical AP group compared to the atypical AP group. Each gene is plotted with fold change and 95% confidence intervals. Green: p < 0.001 and red: p < 0.0001
Figure 5
Figure 5
Effects of individual AP drugs on gene expression are shown with fold change and 95% confidence intervals. These genes show differential expression profiles in the liver by the individual AP drugs. Values are expressed as fold changes compared to the unaffected controls. Red: significant from the controls (FDR p < 0.05). RIS, risperidone; PHE, phenothiazines; OLA, olanzapine; HAL, haloperidol.
Figure 6
Figure 6
The qPCR validation of genes differentially expressed between the typical AP group and the atypical AP group based on the microarray data analysis. Normalized values for each gene in the typical AP group were expressed as fold change as compared to the atypical AP group. Each gene is shown with fold change and 95% confidence intervals.

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