Elsevier

Schizophrenia Research

Volume 192, February 2018, Pages 255-261
Schizophrenia Research

Genome-wide expression in veterans with schizophrenia further validates the immune hypothesis for schizophrenia

https://doi.org/10.1016/j.schres.2017.06.016Get rights and content

Abstract

This study aimed to test whether a dysregulation of gene expression may be the underlying cause of previously reported elevated levels of inflammatory cytokines in veterans with schizophrenia. We performed a genome-wide expression analysis in peripheral blood mononuclear cells from veterans with schizophrenia and controls, and our results show that 167 genes and putative loci were differently expressed between groups. These genes were enriched primarily for pathways related to inflammatory mechanisms and formed networks related to cell death and survival, immune cell trafficking, among others, which is in line with previous reports and further validates the inflammatory hypothesis of schizophrenia.

Introduction

In addition to the most commonly studied mechanisms involving monoamines and acetylcholine in schizophrenia (which form the underlying basis of most of the currently available antipsychotic drugs), a growing body of evidence suggests a key role for inflammation in its pathophysiology (Khandaker and Dantzer, 2016). It is known that the interaction between the immune system and the brain can induce alterations in mood, cognition and behavior (Dantzer et al., 2008, Khandaker and Dantzer, 2016), and this immune-to-brain communication might play a key role in the pathophysiology and treatment of schizophrenia. Accordingly, patients with schizophrenia present a higher risk of developing auto-immune disorders (Benros et al., 2011) and show an imbalance between pro- and anti-inflammatory cytokines (Girgis et al., 2014). In addition, prenatal exposure to pathogenic microbes can increase the risk for the disorder (Brown and Derkits, 2010), suggesting a role for inflammatory cytokines in schizophrenia risk (Girgis et al., 2014).

In this context, we have previously shown that veterans with a diagnosis of schizophrenia exhibit an increased number of peripheral monocytes during episodes (Dimitrov, 2011), increased peripheral levels of GRO, MCP-1, MDC, and sCD40L, as well as decreased levels of IFN-γ, interleukin (IL)-2, IL-12p70, and IL-17, when compared to controls (Dimitrov et al., 2013). Moreover, more severe psychopathology in these patients, as assessed by the Positive and Negative Symptoms Scale (PANSS), was significantly correlated with molecules involved in the IL-17 pathway (Dimitrov et al., 2013) and with higher levels of high-sensitivity C-reactive protein (hsCRP) (Dimitrov et al., 2016). A follow-up sequential visit study confirmed the consistent increase in GRO, MCP-1, MDC, and sCD40L levels in patients across visits, as well as the decrease in IFN-γ levels (Dimitrov et al., 2015), while IL-17 and IL-4 were reduced only in specific visits (Dimitrov et al., 2015).

In another line of studies, genome-wide expression analyses, both in the periphery and the brain of patients with schizophrenia, have consistently shown alterations in immune system genes (Gardiner et al., 2013, Kumarasinghe et al., 2013, Narayan et al., 2008, Xu et al., 2012, Zheutlin et al., 2016), some of which are corrected by antipsychotic medications (Kumarasinghe et al., 2013). This dysregulation of gene expression may be the underlying cause of the elevated levels of inflammatory cytokines consistently observed in schizophrenia. To test this hypothesis, and in an effort to more clearly establish the relationship between peripheral inflammation and schizophrenia, we performed a genome-wide gene expression analysis in peripheral blood mononuclear cells from veterans with a diagnosis of schizophrenia and healthy controls.

Section snippets

Subjects

This study was carried out in accordance with the Declaration of Helsinki and with approval by the University of Texas Health Science Center at San Antonio and Veteran Affairs Research and Development Service. Fifty two veterans with a DSM-IV diagnosis of schizophrenia were enrolled at the Mental Health Intensive Care Management (MHICM) clinic of the South Texas Veterans Health Care System (STVHCS), as previously described (Dimitrov et al., 2015, Dimitrov et al., 2013), with some patients seen

Results and discussion

Demographic data from patients and controls are shown in Table 1. Veterans with schizophrenia and controls did not differ for age or ethnicity, but the patients' group presented a higher proportion of males and smokers compared to controls. All patients were symptomatic, with significant psychopathological scores obtained by the PANSS scale at the time of visit (Table 1). We found 167 differentially expressed genes or putative loci between schizophrenia veterans and controls, of which 137 were

Conflict of interest

All authors declare that they have no conflicts of interest.

Contributors

GRF designed and performed the gene expression analysis and wrote the first draft of the manuscript. DHD designed the study and wrote the protocol. SL performed the statistical analyses. NB, JY, CH, and JC participated in the recruitment and assessment of patients and controls. CWB oversaw the entire study and wrote the final version of the manuscript. All authors contributed to and have approved the final manuscript.

Role of funding source

The study was approved by the University of Texas Health Science Center at San Antonio and Veterans Affairs Research and Development Service and carried out in accordance with the Declaration of Helsinki. All participants provided written informed consent. All tests and reagents were provided by the VA and UTHSCSA.

Acknowledgements

None.

References (25)

  • P.S. Bloomfield et al.

    Microglial activity in people at ultra high risk of psychosis and in schizophrenia: an [(11)C]PBR28 PET brain imaging study

    Am. J. Psychiatry

    (2016)
  • A.S. Brown et al.

    Prenatal infection and schizophrenia: a review of epidemiologic and translational studies

    Am. J. Psychiatry

    (2010)
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