Dysbindin (DTNBP1) – A role in psychotic depression?
Introduction
Psychotic major depression (PMD) is conceptualized as a severe clinical subphenotype of major depressive disorder (MDD) presenting with psychotic features such as feelings of worthlessness or guilt, delusions or hallucinations (APA, 2004, Coryell et al., 1984, Glassman and Roose, 1981, Lykouras et al., 1986, Thakur et al., 1999). PMD is diagnosed in 19–25% of depressed patients (Coryell et al., 1984, Ohayon and Schatzberg, 2002). Psychotic depression is associated with greater illness severity, higher rates of illness chronicity, relapse, more frequent hospitalizations and a higher risk of suicide (for review see Gaudiano et al., 2008) as well as higher levels of dopamine (Schatzberg and Rothschild, 1992). By some authors PMD has thus been suggested to possibly constitute a distinct clinical entity (e.g., Glassman and Roose, 1981, Schatzberg and Rothschild, 1992). Given a number of clinical and biological characteristics apparently being specific for psychotic depression, one might assume a particular genetic risk profile predisposing to the development of major depression with psychotic features (cf. Serretti et al., 1999). Identification of risk genes of psychotic depression could contribute to a better understanding of the underlying pathomechanism of this particular subtype of depression and consequently possibly also to the development of more targeted treatment options for PMD (cf. Schatzberg, 2003).
In the context of psychotic symptoms, dysbindin is a promising candidate molecule: dysbindin binds to alpha- and beta-dystrobrevin as components of the dystrophin-associated protein complex (DPC) (Benson et al., 2001). Dysbindin is involved in glutamatergic neurotransmission by influencing exocytotic glutamate release (Numakawa et al., 2004, Straub et al., 2002) with high levels of dysbindin in cells of the intrinsic glutamatergic pathways of the hippocampus as well as an inverse correlation with vesicular glutamate transporter-1 (Talbot et al., 2004). Glutamatergic neurotransmission as partly driven by dysbindin has been shown to mediate noradrenergic and serotonergic drug effects in antidepressant response (Yagasaki et al., 2006, Yoshimizu et al., 2006) and in addition to play a major role in the pathogenesis of schizophrenia as well as in the mediation of neuroleptic treatment (for review see: Goff and Coyle, 2001, Numakawa et al., 2004, Heresco-Levy, 2005). This renders dysbindin a prime candidate in the investigation of the overlapping phenotype of psychotic major depression.
The gene coding for dysbindin (dystrobrevin-binding protein 1; DTNBP1) is located on chromosome 6p22.3, a consistently replicated susceptibility region in schizophrenia as well as affective disorders (cf. Lewis et al., 2003, Park et al., 2004). Besides converging evidence for a major role of DTNBP1 gene variants in the pathogenesis of schizophrenia (Straub et al., 2002, Schwab et al., 2003; van den Bogaert et al., 2003; van den Oord et al., 2003, Funke et al., 2004, Kirov et al., 2004, Bray et al., 2005, Pae et al., 2008, Pae et al., 2009), DTNBP1 gene variation has also been implicated in psychotic features associated with bipolar disorder (Raybould et al., 2005) as well as in the aetiology of major depression (Kim et al., 2008). Additionally, in a sample of patients with schizophrenia some evidence for association between DTNBP1 gene variants and anxiety/depression symptoms was observed (Wirgenes et al., 2009). These findings underline a potential role of DTNBP1 in the well-known shared genetic susceptibility to psychotic and affective disorders (for review see Maier, 2008, Van Den Bogaert et al., 2006, Wildenauer et al., 1999) as possibly captured by the phenotype of psychotic depression comprising both affective and psychotic symptoms.
Thus, in the present study the role of dysbindin in the pathogenesis of psychotic depression was further investigated by analyzing a representative number of DTNBP1 polymorphisms for association with the clinical phenotype of psychotic depression.
Section snippets
Sample
A sample of 243 (mean age: 47.8 ± 14.6; f = 143, m = 100) unrelated Caucasian patients with Major Depressive Disorder (MDD) admitted for inpatient treatment were consecutively recruited at the Department of Psychiatry, University of Muenster, Germany, between 2004 and 2006 (cf. Baune et al., 2008). A subsample of N = 131 was diagnosed with psychotic depression (mean age: 47.2 ± 13.9; f = 82, m = 49). Patients under the age of 18 and patients with schizoaffective disorders or comorbid substance
Results
Table 1 summarizes sociodemographic and clinical characteristics of patients with and without psychotic depression showing that gender and age were equally distributed across patients with and without psychotic depression. Measures of severity of depression indicate that lifetime duration of depression, lifetime number of depressive episodes, inpatient treatments, suicide attempts, CGI and HAM-D-21 were similar across both patient groups, whereas patients with psychotic depression presented
Discussion
As expected, patients with psychotic depression presented with a higher severity of depression at admission as expressed by BDI and GAF scores than patients with non-psychotic depression (cf. Lattuada et al., 1999, Thakur et al., 1999). However, no clinical differences in the history of suicide attempts could be discerned between MDD patients with and without psychotic features as suggested previously (cf. Thakur et al., 1999), which is possibly due to an overall high severity of depression in
Contributors
Katharina Domschke and Bernhard T. Baune supervised recruitment of patients, designed the study and wrote the protocol as well as the first draft of the manuscript. Tilmann Roehrs conducted the clinical interviews and assisted in the recruitment of patients. Bruce Lawford, Ross Young, Joanne Voisey, C. Phillip Morris, Christa Hohoff and Eva Birsova conducted the genotyping and assisted in SNP selection. Statistical analyses were performed by Bernhard T. Baune. Volker Arolt supervised the study
Role of funding source
KD is supported by the Deutsche Forschungsgemeinschaft (SFB-TRR-58 C2). BTB is supported by the National Health and Medical Research Council (NHMRC) and by Australian Rotary Health, Australia.
Conflict of interest
None declared.
Acknowledgements
We gratefully acknowledge the skillful technical support of Mrs. Kathrin Schwarte.
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