| 1 | Bipolar Disord 2010 Aug 12: 550-6 |
|---|---|
| PMID | 20712757 |
| Title | Assessing oxidative pathway genes as risk factors for bipolar disorder. |
| Abstract | There is a growing body of evidence implicating oxidative stress and the glutathione system in the pathogenesis of major psychiatric illnesses, including schizophrenia and bipolar disorder. Here we investigate whether genes involved in oxidative stress regulation are associated with increased risk for bipolar disorder. Four candidate genes were selected a priori from two different steps in the oxidative stress pathway, specifically the synthesis of glutathione [catalytic subunit of glutamate cysteine ligase (GCLC) and regulatory subunit of glutamate cysteine ligase (GCLM)] and the removal of reactive oxygen species [superoxide dismutase 2 (SOD2) and glutathione peroxidase 3 (GPX3)]. Haplotype tagging and functional nucleotide polymorphisms were selected in each gene and tested for association with bipolar disorder under narrow (n = 240) and broad (n = 325) phenotypic models, compared to healthy controls (n = 392, comprising 166 psychiatrically assessed unaffected controls plus 226 healthy individuals). Single marker association analysis did not reveal significant association with bipolar disorder; however, haplotypes in the SOD2 gene showed nominal association (global chi(2) = 8.94, p = 0.03; broad model). Interaction analysis revealed a significant interaction between SOD2 and GPX3 haplotypes, which further increases risk for bipolar disorder (odds ratio = 2.247, chi(2) = 9.526, p = 0.002, corrected p = 0.029). Further characterization of the SOD2 and GPX3 interaction using larger cohorts is required to determine the role of these oxidative pathway genes as risk factors for bipolar disorder. |
| SCZ Keywords | schizophrenia, schizophrenic |
| 2 | J Psychiatr Res 2013 Nov 47: 1572-80 |
| PMID | 23962679 |
| Title | Psychiatric patient stratification using biosignatures based on cerebrospinal fluid protein expression clusters. |
| Abstract | Psychiatric disorders are caused by perturbed molecular pathways that affect brain circuitries. The identification of specific biosignatures that are the result of altered pathway activities in major depression, bipolar disorder and schizophrenia can contribute to a better understanding of disease etiology and aid in the implementation of diagnostic assays. In the present study we identified disease-specific protein biosignatures in cerebrospinal fluid of depressed (n: 36), bipolar (n: 27) and schizophrenic (n: 35) patients using the Reverse Phase Protein Microarray technology. These biosignatures were able to stratify patient groups in an objective manner according to cerebrospinal fluid protein expression patterns. Correct classification rates were over 90%. At the same time several protein sets that play a role in neuronal growth, proliferation and differentiation (NEGR1, NPDC1), neurotransmission (SEZ6) and protection from oxidative damage (GPX3) were able to distinguish diseased from healthy individuals (n: 35) indicating a molecular signature overlap for the different psychiatric phenotypes. Our study is a first step toward implementing a psychiatric patient stratification system based on molecular biosignatures. Protein signatures may eventually be of use as specific and sensitive biomarkers in clinical trials not only for patient diagnostic and subgroup stratification but also to follow treatment response. |
| SCZ Keywords | schizophrenia, schizophrenic |
| 3 | J Psychiatr Res 2013 Nov 47: 1572-80 |
| PMID | 23962679 |
| Title | Psychiatric patient stratification using biosignatures based on cerebrospinal fluid protein expression clusters. |
| Abstract | Psychiatric disorders are caused by perturbed molecular pathways that affect brain circuitries. The identification of specific biosignatures that are the result of altered pathway activities in major depression, bipolar disorder and schizophrenia can contribute to a better understanding of disease etiology and aid in the implementation of diagnostic assays. In the present study we identified disease-specific protein biosignatures in cerebrospinal fluid of depressed (n: 36), bipolar (n: 27) and schizophrenic (n: 35) patients using the Reverse Phase Protein Microarray technology. These biosignatures were able to stratify patient groups in an objective manner according to cerebrospinal fluid protein expression patterns. Correct classification rates were over 90%. At the same time several protein sets that play a role in neuronal growth, proliferation and differentiation (NEGR1, NPDC1), neurotransmission (SEZ6) and protection from oxidative damage (GPX3) were able to distinguish diseased from healthy individuals (n: 35) indicating a molecular signature overlap for the different psychiatric phenotypes. Our study is a first step toward implementing a psychiatric patient stratification system based on molecular biosignatures. Protein signatures may eventually be of use as specific and sensitive biomarkers in clinical trials not only for patient diagnostic and subgroup stratification but also to follow treatment response. |
| SCZ Keywords | schizophrenia, schizophrenic |
| 4 | Biomed Res Int 2015 -1 2015: 853573 |
| PMID | 26682223 |
| Title | Significance of Polymorphisms and Expression of Enzyme-Encoding Genes Related to Glutathione in Hematopoietic Cancers and Solid Tumors. |
| Abstract | Antioxidant compounds such as glutathione and its enzymes have become the focus of attention of medical sciences. Glutathione, a specific tripeptide, is involved in many intercellular processes. The glutathione concentration is determined by the number of GAG repeats in gamma-glutamylcysteine synthetase. GAG polymorphisms are associated with an increased risk of schizophrenia, berylliosis, diabetes, lung cancer, and nasopharyngeal tumors. Cancer cells with high glutathione concentration are resistant to chemotherapy treatment. The oxidized form of glutathione is formed by glutathione peroxidases (GPXs). The changes in activity of GPX1, GPX2, and GPX3 isoforms may be associated with the development of cancers, for example, prostate cancer or even colon cancer. Detoxification of glutathione conjugates is possible due to activity of glutathione S-transferases (GSTs). Polymorphisms in GSTM1, GSTP1, and GSTO1 enzymes increase the risk of developing breast cancer and hepatocellular carcinoma. Gamma-glutamyl transpeptidases (GGTs) are responsible for glutathione degradation. Increased activity of GGT correlates with adverse prognosis in patients with breast cancer. Studies on genes encoding glutathione enzymes are continued in order to determine the correlation between DNA polymorphisms in cancer patients. |
| SCZ Keywords | schizophrenia, schizophrenic |