pLG72 levels increase in early phase of Alzheimer's disease but decrease in late phase.

pLG72, named as D-amino acid oxidase activator (although it is not an activator of D-amino acid oxidase demonstrated by later studies), in mitochondria has been regarded as an important modulator of D-amino acid oxidase that can regulate the N-methyl-D-aspartate receptor (NMDAR). Both oxidative stress in mitochondria and NMDAR neurotransmission play essential roles in the process of neurodegenerative dementia. The aim of the study was to investigate whether pLG72 levels changed with the severity of neurodegenerative dementia. We enrolled 376 individuals as the overall cohort, consisting of five groups: healthy elderly, amnestic mild cognitive impairment [MCI], mild Alzheimer's disease [AD], moderate AD, and severe AD. pLG72 levels in plasma were measured using Western blotting. The severity of cognitive deficit was principally evaluated by Clinical Dementia Rating Scale. A gender- and age- matched cohort was selected to elucidate the effects of gender and age. pLG72 levels increased in the MCI and mild AD groups when compared to the healthy group. However, pLG72 levels in the moderate and severe AD groups were lower than those in the mild AD group. D-serine level and D- to total serine ratio were significantly different among the five groups. L-serine levels were correlated with the pLG72 levels. The results in the gender- and age- matched cohort were similar to those of the overall cohort. The finding supports the hypothesis of NMDAR hypofunction in early-phase dementia and NMDAR hyperfunction in late-phase dementia. Further studies are warranted to test whether pLG72 could reflect the function of NMDAR.

Altered mRNA expressions for N-methyl-D-aspartate receptor-related genes in WBC of patients with major depressive disorder.

OBJECTIVE: Major depressive disorder (MDD) is a complex mental disorder. The lack of well-established biomarkers hinders its diagnosis, treatment, and new-drug development. N-methyl-D-aspartate receptor (NMDAR) dysfunction has been implicated in the pathogenesis of MDD. This study examined whether expressions of the NMDAR-related genes are characteristic of MDD. METHODS: Expressions of NMDAR-related genes including SRR, SHMT2, PSAT1, GCAT, GAD1, SLC1A4, NRG1 and COMT in peripheral WBCs of 110 patients with MDD (25 drug-naïve, 21 drug-free, and 64 medicated patients) and 125 healthy individuals were measured using quantitative PCR. RESULTS: The mRNA expression levels of SRR, PSAT1, GCAT, GAD1, NRG1 and COMT were significantly different among the four groups (all p < 0.05). For drug-naïve patients, the ΔΔCT values of SRR, PSAT1, GCAT, GAD1, and NRG1 mRNA expressions were significantly different from those in healthy individuals (all p < 0.05). The ROC analysis of the ΔΔCT values of the target genes for differentiating drug-naïve patients from healthy controls showed an excellent sensitivity (0.960) and modest specificity (0.640) (AUC = 0.889). Drug-free and medicated patients obtained less favorable AUC values while compared to healthy controls. The results for the age- and sex-matched cohort were similar to those of the unmatched cohort. CONCLUSIONS: This is the first study demonstrating that the peripheral mRNA expression levels of NMDAR-related genes may be altered in patients with MDD, especially drug-naïve individuals. The finding supports the NMDAR hypothesis of depression. Whether mRNA expresssion of NMDAR-related genes could serve as a potential biomarker of MDD deserves further investigations.

Combination of G72 Genetic Variation and G72 Protein Level to Detect Schizophrenia: Machine Learning Approaches.

The D-amino acid oxidase activator (DAOA, also known as G72) gene is a strong schizophrenia susceptibility gene. Higher G72 protein levels have been implicated in patients with schizophrenia. The current study aimed to differentiate patients with schizophrenia from healthy individuals using G72 single nucleotide polymorphisms (SNPs) and G72 protein levels by leveraging computational artificial intelligence and machine learning tools. A total of 149 subjects with 89 patients with schizophrenia and 60 healthy controls were recruited. Two G72 genotypes (including rs1421292 and rs2391191) and G72 protein levels were measured with the peripheral blood. We utilized three machine learning algorithms (including logistic regression, naive Bayes, and C4.5 decision tree) to build the optimal predictive model for distinguishing schizophrenia patients from healthy controls. The naive Bayes model using two factors, including G72 rs1421292 and G72 protein, appeared to be the best model for disease susceptibility (sensitivity = 0.7969, specificity = 0.9372, area under the receiver operating characteristic curve (AUC) = 0.9356). However, a model integrating G72 rs1421292 only slightly increased the discriminative power than a model with G72 protein alone (sensitivity = 0.7941, specificity = 0.9503, AUC = 0.9324). Among the three models with G72 protein alone, the naive Bayes with G72 protein alone had the best specificity (0.9503), while logistic regression with G72 protein alone was the most sensitive (0.8765). The findings remained similar after adjusting for age and gender. This study suggests that G72 protein alone, without incorporating the two G72 SNPs, may have been suitable enough to identify schizophrenia patients. We also recommend applying both naive Bayes and logistic regression models for the best specificity and sensitivity, respectively. Larger-scale studies are warranted to confirm the findings.

PICK1 Genetic Variation and Cognitive Function in Patients with Schizophrenia.

The gene of protein interacting with C kinase 1 alpha (PICK1) has been implicated in schizophrenia, nevertheless, conflicting results existed. However, its role in cognitive function remains unclear. Besides, cognitive deficits impair the long-term outcome. We explored whether the polymorphisms of PICK1 (rs2076369, rs3952) affected cognitive functions in schizophrenic patients. We analyzed 302 patients and tested the differences of cognitive functions, clinical symptoms between genetic groups. We also used general linear model to analyze the effect of PICK1 genetic polymorphisms on cognitive functions. After adjustment for gender, age, education, the patients with rs2076369 G/T genotype showed better performance than T/T homozygotes in the summary score, global composite score, neurocognitive composite score, category fluency subtest, WAIS-III-Digit Symbol Coding subtest, working memory, WMS-III-Spatial Span (backward) subtest, MSCEIT-managing emotions branch (p = 0.038, 0.025, 0.046, 0.036, 0.025, 0.027, 0.035, 0.028, respectively). G/G homozygotes performed better than T/T in category fluency subtest (p = 0.049). A/A homozygotes of rs3952 performed better than G/G in trail making A subtest (p = 0.048). To our knowledge, this is the first study to indicate that PICK1 polymorphisms may associate with cognitive functions in schizophrenic patients. Further replication studies in healthy controls or other ethnic groups are warranted.

Decreased mRNA expression for the two subunits of system xc(-), SLC3A2 and SLC7A11, in WBC in patients with schizophrenia: Evidence in support of the hypo-glutamatergic hypothesis of schizophrenia.

BACKGROUND: The cystine/glutamate antiporter system xc(-), playing a critical role in the regulation of glutamate release, might be implicated in the pathogenesis of schizophrenia. This study examined whether peripheral expressions of the system xc(-) subunits are characteristic of schizophrenia. METHODS: Expression of system xc(-) genes including SLC3A2 and SLC7A11 in peripheral WBCs of patients with schizophrenia and healthy individuals were measured using quantitative PCR. Both psychotropic-free and medicated patients with schizophrenia were recruited. RESULTS: A total of 96 schizophrenia patients (48 medicated and 48 drug-free) and 96 healthy individuals were enrolled. The mRNA expression levels using the 2(-ΔΔC)T Method of both SLC3A2 and SLC7A11 in WBCs of schizophrenia patients were markedly lower than that of healthy individuals (0.22 and 0.48, respectively, the mRNA expression level of normal controls was normalized to 1). There was no significant difference between medicated and drug-free patients in the mRNA expressions of both SLC3A2 and SLC7A11. The Receiver Operating Characteristics (ROC) analysis of SLC3A2 mRNA levels using ΔΔCT values for drug-free schizophrenia patients vs. healthy controls determined an optimal cutoff value, 0.801, with high sensitivity (1.000) and modest specificity (0.694) (area under curve of ROC = 0.794). CONCLUSION: This is the first study indicating that the peripheral mRNA expression levels of SLC7A11 and SLC3A2 may be lower in patients with schizophrenia than healthy individuals. The finding supports the hypo-glutamatergic neurotransmission hypothesis in schizophrenia. Whether mRNA expression of system xc(-) subunits genes, particularly SLC3A2, could serve as a potential biomarker of schizophrenia needs further studies.

Electroconvulsive therapy improves clinical manifestation with plasma BDNF levels unchanged in treatment-resistant depression patients.

Electroconvulsive therapy (ECT) is the most effective treatment in treatment-resistant depression; it may modulate intracellular processes in such patients. This study aimed to investigate the association between changes in plasma brain-derived neurotrophic factor (BDNF) levels and the clinical improvements after ECT for patients with treatment-resistant depression. Fifty-five inpatients with treatment-resistant depression were recruited. The severity of depression was measured using the 17-item Hamilton Rating Scale for Depression (HAMD-17) and the Clinical Global Impression-Severity (CGI-S) before ECT, after every 3 sessions of ECT, and at the end of ECT. Plasma BDNF levels were measured in all subjects before and after ECT. The severity of depression was significantly reduced on the HAMD-17 (p < 0.001) and the CGI-S (p < 0.001) after the end of ECT. There were no significant differences in plasma BDNF levels after ECT (p = 0.615). No significant correlation was found between changes in plasma BDNF levels and changes in HAMD-17 scores (r = 0.188, p = 0.169). Our results do not support the hypothesis that improvements in treatment-resistant depression patients after ECT are due to changes in BDNF levels.

RGS4 polymorphisms predict clinical manifestations and responses to risperidone treatment in patients with schizophrenia.

OBJECTIVE: Polymorphisms of the gene encoding the regulator of G-protein signaling subtype 4 (RGS4) are associated with schizophrenia. This study aims to investigate the association of 4 RGS4 polymorphisms (single nucleotide polymorphisms [SNPs] 1, 4, 7, and 18), implicated in previous studies, with baseline symptoms and treatment response to risperidone in patients with schizophrenia. METHODS: One hundred twenty patients with acutely exacerbated schizophrenia who had never been treated by atypical antipsychotics were recruited. They received optimal treatment of risperidone for up to 42 days in the inpatient research unit. Patients' social functions were monitored by Nurses' Observation Scale for Inpatients Evaluation and clinical manifestations, by Positive and Negative Syndrome Scale. RESULTS: At baseline status, the A/A genotype at SNP7 of RGS4 was associated with poorer social function when compared with the G/G genotype. After risperidone treatment, the A/A genotype at SNP1 was associated with greater improvement at social function, and the A/A genotype at SNP18 was associated with greater improvement at social function, Positive and Negative Syndrome Scale total score, and positive- and negative-symptom subscale. CONCLUSIONS: These findings suggest that RGS4 variances influence clinical manifestations of schizophrenia as well as the treatment response to risperidone, suggesting that RGS4 plays a role in the fundamental process of disease pathophysiology.

Dopamine D3 receptor Ser9Gly polymorphism and risperidone response.

Risperidone is an atypical antipsychotic agent with efficacy for both positive and negative symptoms of schizophrenia. Risperidone is a potent dopamine D3 antagonist and agonism at D3 sites induces behavioral suppression in rodents. We thus hypothesized that D3 antagonism may contribute to response to risperidone in negative symptoms. This study aimed to explore the influence of the Ser9Gly polymorphism of the dopamine D3 receptor (DRD3) gene on response to risperidone after controlling for nongenetic factors. One hundred twenty-three Han Chinese patients with acutely exacerbated schizophrenia were given risperidone monotherapy for up to 42 days. Clinical manifestations were measured biweekly with Positive and Negative Syndrome Scale and Nurses' Observation Scale for Inpatients Evaluation (for assessment of social functioning). For adjusting the within-subject dependence over repeated assessments, multiple linear regression with generalized estimating equation methods was used to analyze the effects of Ser9Gly polymorphism and other covariates on clinical performance. Compared with patients with the Gly9Gly genotype, those with either Ser9Ser or Ser9Gly had better performance on negative symptoms after control for other prognostic factors (P = 0.0002 and 0.0092, respectively). Patients with the Ser9Ser genotype had better social functioning than those with Gly9Gly (P = 0.0029). The Ser9Gly polymorphism, however, did not significantly affect positive symptoms. Male gender, fewer previous hospitalizations, and higher risperidone dose also predicted better treatment response. These data suggest that the DRD3 Ser9Gly polymorphism or, alternatively, another genetic variation that is in linkage disequilibrium, may influence response to risperidone in negative symptoms and social functioning.

Effects of dopamine D2 receptor Ser311Cys polymorphism and clinical factors on risperidone efficacy for positive and negative symptoms and social function.

Risperidone is an atypical antipsychotic agent with efficacy for both positive and negative symptoms of schizophrenia. However, what makes an antipsychotic 'atypical' remains unclear. We recently found that the T102C polymorphism in the 5-HT2A receptor gene could affect risperidone's efficacy for negative symptoms. The present study investigated the effect of the Ser311Cys polymorphism in the dopamine D2 receptor (DRD2) gene on risperidone treatment response. A total of 123 Han Chinese patients with acutely exacerbated schizophrenia were given risperidone for up to 42 days. Clinical manifestations were measured bi-weekly with Positive and Negative Syndrome Scale (PANSS) and Nurses' Observation Scale for Inpatients Evaluation (NOSIE, for assessment of social function). For adjusting the within-subject dependence over repeated assessments, multiple linear regression with generalized estimating equation methods was utilized to analyse the effects of Ser311Cys polymorphism and other covariates on clinical performance. Compared with patients who had the Ser311Ser genotype, patients with the Ser311Cys genotype had lower scores on PANSS Positive, Negative, General Psychopathology and Cognitive subscales and NOSIE, after adjustment for 5-HT2A T102C polymorphisms and other confounders. The 5-HT2A T102C polymorphism had marginal influences on PANSS Total and Negative subscale scores. Male gender, fewer previous hospitalizations, and higher risperidone dose predicted better treatment response after control for other variables. The preliminary results suggest that variations in the DRD2 gene influence risperidone treatment response for positive, negative, and cognitive symptoms, general psychopathology, and social functioning. Several clinical factors may also contribute to inter-individual differences in risperidone treatment response.

Risperidone response and 5-HT6 receptor gene variance: genetic association analysis with adjustment for nongenetic confounders.

Previous genetic-response studies, usually without considering environmental factors, encountered great difficulties in replication of results. Although atypical antipsychotics are becoming the mainstay for schizophrenia treatment which makes an antipsychotic "atypical" remains unclear. Risperidone (a widely used atypical antipsychotic agent) and several other atypicals have high affinities for 5-HT6 and 5-HT7 receptors. This study investigated the effects of the T-->C 267 polymorphism in the 5HT6 receptor gene and two rare Pro279Leu and Thr92Lys substitutions in the 5HT7 receptor gene on risperidone efficacy after rigorous control for nongenetic confounders. We found an association between the T-->C 267 polymorphism of the 5HT6 receptor gene and response to risperidone in 123 acutely ill schizophrenia inpatients after adjustment for confounders. Compared to patients with the T/C 267 genotype, those with T/T 267 showed less severe positive symptoms (p=0.006) and general psychopathology (including anxiety, depression, and cognitive dysfunctions) (p=0.005). The T-->C 267 polymorphism had no influences on negative symptoms. The two rare polymorphisms in the 5HT7 receptor gene were not observed in our sample. In conclusion, the 5HT6 receptor gene variant can affect risperidone response to positive symptoms and general psychopathology (but not negative symptoms) after control for nongenetic factors.