Amisulpride augmentation therapy improves cognitive performance and psychopathology in clozapine-resistant treatment-refractory schizophrenia: a 12-week randomized, double-blind, placebo-controlled trial.

BACKGROUND: Although clozapine is an effective option for treatment-resistant schizophrenia (TRS), there are still 1/3 to 1/2 of TRS patients who do not respond to clozapine. The main purpose of this randomized, double-blind, placebo-controlled trial was to explore the amisulpride augmentation efficacy on the psychopathological symptoms and cognitive function of clozapine-resistant treatment-refractory schizophrenia (CTRS) patients. METHODS: A total of 80 patients were recruited and randomly assigned to receive initial clozapine plus amisulpride (amisulpride group) or clozapine plus placebo (placebo group). Positive and Negative Syndrome Scale (PANSS), Scale for the Assessment of Negative Symptoms (SANS), Clinical Global Impression (CGI) scale scores, Repeatable Battery for the Assessment of Neuropsychological Status (RBANS), Treatment Emergent Symptom Scale (TESS), laboratory measurements, and electrocardiograms (ECG) were performed at baseline, at week 6, and week 12. RESULTS: Compared with the placebo group, amisulpride group had a lower PANSS total score, positive subscore, and general psychopathology subscore at week 6 and week 12 (PBonferroni < 0.01). Furthermore, compared with the placebo group, the amisulpride group showed an improved RBANS language score at week 12 (PBonferroni < 0.001). Amisulpride group had a higher treatment response rate (P = 0.04), lower scores of CGI severity and CGI efficacy at week 6 and week 12 than placebo group (PBonferroni < 0.05). There were no differences between the groups in body mass index (BMI), corrected QT (QTc) intervals, and laboratory measurements. This study demonstrates that amisulpride augmentation therapy can safely improve the psychiatric symptoms and cognitive performance of CTRS patients. CONCLUSION: This study indicates that amisulpride augmentation therapy has important clinical significance for treating CTRS to improve clinical symptoms and cognitive function with tolerability and safety. Trial registration Clinicaltrials.gov identifier- NCT03652974. Registered August 31, 2018, https://clinicaltrials.gov/ct2/show/NCT03652974.

An integrated machine learning framework for a discriminative analysis of schizophrenia using multi-biological data.

Finding effective and objective biomarkers to inform the diagnosis of schizophrenia is of great importance yet remains challenging. Relatively little work has been conducted on multi-biological data for the diagnosis of schizophrenia. In this cross-sectional study, we extracted multiple features from three types of biological data, including gut microbiota data, blood data, and electroencephalogram data. Then, an integrated framework of machine learning consisting of five classifiers, three feature selection algorithms, and four cross validation methods was used to discriminate patients with schizophrenia from healthy controls. Our results show that the support vector machine classifier without feature selection using the input features of multi-biological data achieved the best performance, with an accuracy of 91.7% and an AUC of 96.5% (p < 0.05). These results indicate that multi-biological data showed better discriminative capacity for patients with schizophrenia than single biological data. The top 5% discriminative features selected from the optimal model include the gut microbiota features (Lactobacillus, Haemophilus, and Prevotella), the blood features (superoxide dismutase level, monocyte-lymphocyte ratio, and neutrophil count), and the electroencephalogram features (nodal local efficiency, nodal efficiency, and nodal shortest path length in the temporal and frontal-parietal brain areas). The proposed integrated framework may be helpful for understanding the pathophysiology of schizophrenia and developing biomarkers for schizophrenia using multi-biological data.

Divergent Alterations of Structural-Functional Connectivity Couplings in First-episode and Chronic Schizophrenia Patients.

Emerging evidence suggests that the coupling relating the structural connectivity (SC) of the brain to its functional connectivity (FC) exhibits remarkable changes during development, normal aging, and diseases. Although altered structural-functional connectivity couplings (SC-FC couplings) have been previously reported in schizophrenia patients, the alterations in SC-FC couplings of different illness stages of schizophrenia (SZ) remain largely unknown. In this study, we collected structural and resting-state functional MRI data from 73 normal controls (NCs), 61 first-episode (FeSZ) and 78 chronic (CSZ) schizophrenia patients. Positive and negative syndrome scale (PANSS) scores were assessed for all patients. Structural and functional brain networks were constructed using gray matter volume (GMV) and resting-state magnetic resonance imaging (rs-fMRI) time series measurements. At the connectivity level, the CSZ patients showed significantly increased SC-FC coupling strength compared with the FeSZ patients. At the node strength level, significant decreased SC-FC coupling strength was observed in the FeSZ patients compared to that of the NCs, and the coupling strength was positively correlated with negative PANSS scores. These results demonstrated divergent alterations of SC-FC couplings in FeSZ and CSZ patients. Our findings provide new insight into the neuropathological mechanisms underlying the developmental course of SZ.

Identifying Modifiable Risk Factors for Relapse in Patients With Schizophrenia in China.

BACKGROUND: Preventing relapse of schizophrenic patients is really a challenge. The present study sought to provide more explicit evidence and factors of different grades and weights by a series of step-by-step analysis through χ2 test, logistic regression analysis and decision-tree model. The results of this study may contribute to controlling relapse of schizophrenic patients. METHODS: A total of 1,487 schizophrenia patients were included who were 18-65 years of age and discharged from 10 hospitals in China from January 2009 to August 2009 and from September 2011 to February 2012 with improvements or recovery of treatment effect. We used a questionnaire to collect information about relapse and correlative factors during one year after discharge by medical record collection and telephone interview. The χ2 test and logistic regression analysis were used to identify risk factors and high-risk factors firstly, and then a decision-tree model was used to find predictive factors. RESULTS: The χ2 test found nine risk factors which were associated with relapse. Logistic regression analysis also showed four high-risk factors further (medication adherence, occupational status, ability of daily living, payment method of medical costs). At last, a decision-tree model revealed four predictors of relapse; it showed that medication adherence was the first grade and the most powerful predictor of relapse (relapse rate for adherence vs. nonadherence: 22.9 vs. 55.7%, χ2 = 116.36, p < 0.001). The second grade factor was occupational status (employment vs. unemployment: 19.7 vs. 42.7%, χ2 = 17.72, p < 0.001); the third grade factors were ability of daily living (normal vs. difficult: 28.4 vs. 54.3%, χ2 = 8.61, p = 0.010) and household income (household income ≥ 3000 RMB vs. <3000 RMB: 28.6 vs. 42.4%, χ2 = 6.30, p = 0.036). The overall positive predictive value (PPV) of the logistic regression was 0.740, and the decision-tree model was 0.726. Both models were reliable. CONCLUSIONS: For schizophrenic patients discharged from hospital, who had good medication adherence, more higher household income, be employed and normal ability of daily living, would be less likely to relapse. Decision tree provides a new path for doctors to find the schizophrenic inpatient's relapse risk and give them reasonable treatment suggestions after discharge.

Relationship between hippocampal volume and inflammatory markers following six infusions of ketamine in major depressive disorder.

BACKGROUND: Evidences suggest that inflammatory marker-mediated neuroplasticity contributes critically to brain changes following antidepressant treatment. To date, no study has examined the relationship between changes in hippocampal volume, depressive symptoms, and inflammatory markers following repeated ketamine treatment. METHODS: Forty-four patients with major depressive disorder received six intravenous ketamine (0.5 mg/kg) infusions over 12 days. The Montgomery-Asberg Depression Rating Scale (MADRS) was used to assess depressive symptoms, and peripheral blood was collected to test multiple cytokines and tryptophan (TRP) metabolites at baseline, 24 h and 14 days after the sixth infusion (day 13 and day 26). Magnetic resonance imaging (MRI) scans were carried out at baseline and day13, and FreeSurfer software was used to process the T1 images and analyze hippocampal volume. RESULTS: Following ketamine, a significant improvement in depressive symptoms, a small increase in right hippocampal volume and alterations in inflammatory markers was found. No significant association was found between changes in inflammatory markers and changes in hippocampal volume from baseline to day 13 (P>0.05), while a weak association was found between TRP metabolite changes and other cytokine changes from baseline to day 26 (beta=-0.357, t=-2.600, P = 0.013). LIMITATIONS: The patients continued receiving previous medications during ketamine treatment, which may have impacted hippocampal volume and inflammatory markers. CONCLUSIONS: Hippocampal volume increase following ketamine was an independent neurobiological effect that was not associated with changes in peripheral inflammatory markers, suggesting a likely complex neurobiological mechanism of the antidepressant effect of ketamine.

Volumetric changes in subcortical structures following repeated ketamine treatment in patients with major depressive disorder: a longitudinal analysis.

Abnormal subcortical structures have been associated with major depressive disorder (MDD) and could be reversed by antidepressant treatment. To date no study has examined the relationship between subcortical volumes and repeated ketamine treatment. The current study investigated volume changes in specific subcortical structures and hippocampal subfields after six ketamine infusions. Forty-four patients with MDD received six subanesthetic dose infusions of ketamine. Depressive symptoms were assessed and magnetic resonance imaging scans were performed before and after six ketamine infusions. FreeSurfer software was used to process the T1 images and analyze the volumes of the subcortical regions and hippocampal subfields. After six ketamine infusions, increases were observed in the volumes of the left amygdala; the right hippocampus; the cornu ammonis 4 body, granule cell and molecular layer of the dentate gyrus body in the left hippocampus; and the cornu ammonis 4 head and molecular layer head in the right hippocampus. Positive correlations were found between symptom improvement and the pretreatment volumes of the right thalamus (r = 0.501; P = 0.001) and left subiculum head of the hippocampus (r = 0.471; P = 0.002), and changes in the volumes of the left amygdala (r = -0.452; P = 0.003) and the left cornu ammonis 4 body (r = -0.537; P < 0.001). Our findings provided evidence for critical roles of the amygdala and specific hippocampal subfields in the antidepressant effect of repeated ketamine treatment. Relatively larger volumes in right thalamus and left subiculum head in the hippocampus can predict a superior clinical outcome of ketamine treatment in MDD patients.

Sex Differences in the Prevalence and Clinical Features of Comorbid Depressive Symptoms in Never-Treated Chinese Patients With First-Episode Schizophrenia.

BACKGROUND: Many studies have indicated a sex-specific effect in many aspects of schizophrenia. The presence of depressive symptomatology exists in all phases of schizophrenia. The aim of this study is to investigate the sex differences in the proportion of comorbid depressive symptoms and sex-specific relationships between depressive symptoms and clinical correlates in never-treated Chinese patients with first-episode schizophrenia (NTFE patients), which have not been reported yet. METHODS: Via a cross-sectional design, 240 NTFE inpatients (male/female = 111/129) between ages 16 and 45 years and meeting DSM-IV-TR criteria of schizophrenia were recruited. The Positive and Negative Syndrome Scale (PANSS) was used for the psychopathology, and the 17-item Hamilton Depression Rating Scale (HDRS-17) for the comorbid depressive symptoms. This study was conducted from June 2013 to December 2015. RESULTS: The proportion of patients with depressive symptoms (total score on HDRS-17 ≥ 8) in men was significantly higher than in women (male: 62.2%, female: 48.1%; χ²1 = 4.28, P = .039). Male patients had significantly greater depressive symptoms as shown on the HDRS-17 than female patients (t1, 238 = 2.75, P = .006). Further, we found that age, the age at onset, smoking rate, and PANSS total and general psychopathology, negative symptoms, and cognitive factor subscores favored significant sex differences in female patients (all P < .05). Interestingly, we found sex differences in the correlation between the HDRS-17 score and clinical phenotype, showing that in male patients, the PANSS general psychopathology subscore (ß = 0.75, t = 7.72, P < .001) and total score (ß = 0.44, t = 4.81, P < .001) significantly predicted the HDRS-17 total score, while in female patients, the PANSS general psychopathology subscore (ß = 0.74, t = 8.45, P < .001), total score (ß = 0.47, t = 5.71, P < .001), and cognitive factor subscore (ß = 0.24, t = 2.60, P < .001) significantly predicted the HDRS-17 total score. CONCLUSIONS: Our results indicate sex differences in the frequency and severity of comorbid depressive symptoms and in associations between depressive symptoms and clinical correlates in NTFE patients.

N-primary-amine-terminal beta-turn tetrapeptides as organocatalysts for highly enantioselective aldol reaction.

Tetrapeptides, containing a terminated primary amine and conformationally restricted D-Pro-Gly or D-Pro-Aib (2-aminoisobutanoic acid) segment as a strongly beta-turn-nucleating element, were designed and synthesized with condensation of N-module dipeptides with C-module dipeptides in solution. They were first applied to catalyze aldol reactions, and were found to be effective catalysts for the transformations. The tetrapeptide Val-D-Pro-Gly-Leu-OH (1g) was the optimal organocatalyst. It was shown that the intensive beta-turn conformation, indicated by CD and NOESY spectra, contributed to the (R)-aldol and high enantioselectivity of the reaction of acetone in MeOH, whereas the sharply varied conformation should contribute to the low enantioselectivity and (S)-product of the reaction in 1,2-dichloroethane (DCE). The asymmetric induction in the reaction of hydroxyacetone was not affected by solvents, and predominant anti products were achieved by 1g in MeCN with the additive (S)-BINOL.

2,4-Dinitrophenol as an effective cocatalyst: greatly improving the activities and enantioselectivities of primary amine organocatalysts for asymmetric aldol reactions.

Seven primary amine organocatalysts 1a-g were readily prepared from natural primary amino acids via two steps and then were used to catalyze the direct asymmetric aldol reaction, but they showed very poor enantioselectivities and activities. As an effective cocatalyst, 2,4-dinitrophenol (DNP) dramatically elevated the activities and enantioselectivities of these very inefficient primary amine organocatalysts. This remedial course to the very inefficient organocatalysts by selection and employment of the optimal cocatalyst was particularly cost-effective and environment-beneficial compared with de novo development of catalysts. The highest efficient organocatalytic system that was composed of 1f and DNP showed high enantioselectivities and good to high diastereoselectivities with a broad spectrum of seven ketones. The linear ketones and cyclopentanone got predominant syn products whereas cyclohexanone mainly gave anti products.