Convolutional neural network in proteomics and metabolomics for determination of comorbidity between cancer and schizophrenia.

The association between cancer risk and schizophrenia is widely debated. Despite many epidemiological studies, there is still no strong evidence regarding the molecular basis for the comorbidity between these two pathological conditions. The vast majority of assays have been performed using clinical records of schizophrenic patients or those undergoing cancer treatment and monitored for sufficient time to find shared features between the considered conditions. We performed mass spectrometry-based proteomic and metabolomic investigations of patients with different cancer phenotypes (breast, ovarian, renal, and prostate) and patients with schizophrenia. The resulting vast quantity of proteomic and metabolomic data were then processed using systems biology and one-dimensional (1D) convolutional neural network (1DCNN) machine learning approaches. Traditional systematic approaches permit the segregation of schizophrenia and cancer phenotypes on the level of biological processes, while 1DCNN recognized "signatures" that could segregate distinct cancer phenotypes and schizophrenia at the comorbidity level. The designed network efficiently discriminated unrelated pathologies with a model accuracy of 0.90 and different subtypes of oncophenotypes with an accuracy of 0.94. The proposed strategy integrates systematic analysis of identified compounds and application of 1DCNN model for unidentified ones to reveal the similarity between distinct phenotypes.

Consolidation of metabolomic, proteomic, and GWAS data in connective model of schizophrenia.

Despite of multiple systematic studies of schizophrenia based on proteomics, metabolomics, and genome-wide significant loci, reconstruction of underlying mechanism is still a challenging task. Combination of the advanced data for quantitative proteomics, metabolomics, and genome-wide association study (GWAS) can enhance the current fundamental knowledge about molecular pathogenesis of schizophrenia. In this study, we utilized quantitative proteomic and metabolomic assay, and high throughput genotyping for the GWAS study. We identified 20 differently expressed proteins that were validated on an independent cohort of patients with schizophrenia, including ALS, A1AG1, PEDF, VTDB, CERU, APOB, APOH, FASN, GPX3, etc. and almost half of them are new for schizophrenia. The metabolomic survey revealed 18 group-specific compounds, most of which were the part of transformation of tyrosine and steroids with the prevalence to androgens (androsterone sulfate, thyroliberin, thyroxine, dihydrotestosterone, androstenedione, cholesterol sulfate, metanephrine, dopaquinone, etc.). The GWAS assay mostly failed to reveal significantly associated loci therefore 52 loci with the smoothened p < 10-5 were fractionally integrated into proteome-metabolome data. We integrated three omics layers and powered them by the quantitative analysis to propose a map of molecular events associated with schizophrenia psychopathology. The resulting interplay between different molecular layers emphasizes a strict implication of lipids transport, oxidative stress, imbalance in steroidogenesis and associated impartments of thyroid hormones as key interconnected nodes essential for understanding of how the regulation of distinct metabolic axis is achieved and what happens in the conditioned proteome and metabolome to produce a schizophrenia-specific pattern.

Immunoinflammatory Profile in Patients with Episodic and Continuous Paranoid Schizophrenia.

Introduction: Associations of disturbances in innate and adaptive immunity during the clinical course of schizophrenia have been found in a number of studies. Yet, the relationship of immune parameters and systemic inflammation in relation to the clinical course of the disease and its prognosis, remains poorly understood, which highlights an interesting topic for further research. The goal of this study was to research the immuno-inflammatory changes in patients with clinical continuous and episodic paranoid schizophrenia, to assess the pathogenetic significance of these changes. Methods: Thirty-six patients with paranoid schizophrenia, of which 20 had episodic symptoms and 16 had continuous symptoms, consented to participate in the study, together with 30 healthy volunteers. In the study we assessed the parameters of innate immune response (serum levels of key pro-inflammatory and anti-inflammatory cytokines, C-reactive protein) and the adaptive immune response, including humoral-mediated immunity (serum immunoglobulins IgA, IgM, IgG, circulating immune complexes), as well as the cell link of adaptive immunity (key lymphocyte subpopulations). Positive and negative symptoms were assessed with the positive and negative symptoms scale; frontal dysfunction was assessed by Frontal Assessment Battery (FAB). Results: Both patient groups had higher than normal levels of C-reactive protein and IL-8. There was a significant elevation of circulating immune complexes among patients with continuous symptoms of schizophrenia, compared to patients with episodic symptoms and healthy controls. Levels of CD45+CD3+ lymphocytes (T-cells) differed between clinical groups, with higher values identified among patients with episodic symptoms and lower values among those with continuous symptoms. In addition, patients with episodic symptoms had significantly increased levels of CD45+CD3+CD4+CD25+CD127- regulatory T-cells. Finally, the level of CD45+CD3-CD19+ B-cells was significantly higher among patients with continuous symptoms vs. patients with episodic symptoms and the control groups. Markers of activation of humoral immunity were associated with the severity of frontal disorders in these patients. Discussion: Comprehensive data on the serum level of cytokines and the parameters of adaptive immunity among individuals with continuous schizophrenia, by comparison with patients with episodic schizophrenia, are practically absent in the literature. We have shown that among those with continuous schizophrenia, there are signs of systemic inflammation and chronic activation of the adaptive humoral immune response, while among patients with episodic symptoms of the disease, there are signs of systemic inflammation and certain activation of cell-mediated immunity, without significant changes in the humoral link of adaptive immunity. Conclusion: More studies are needed, but the data obtained in this study are important for subsequent clinical studies of new treatment methods, based on various immunophenotypes of schizophrenia.