Relationship between serum bilirubin levels and metabolic syndrome in patients with schizophrenia spectrum disorders

Objective: We investigated the relationship between serum bilirubin levels and metabolic syndrome (MetS), and the longitudinal effects of baseline serum bilirubin concentrations on MetS in patients with schizophrenia spectrum disorders undergoing atypical antipsychotics. Methods: The sample of this study consisted of 131 patients with schizophrenia spectrum disorders. Waist circumference, blood pressure, and levels of triglycerides, high-density lipoprotein cholesterol, fasting glucose, and insulin were evaluated at baseline and at month six. Serum bilirubin levels were measured at baseline. Serum bilirubin levels of the patients with and without MetS criteria were compared. We also compared patients with high and low bilirubin levels (upper and lower 50th percentiles of serum bilirubin levels) in terms of MetS criteria, MetS frequency, and course of MetS. Results: Serum direct bilirubin levels were more consistently related to MetS and MetS-related variables. The waist circumference and triglyceride criteria for MetS were significantly related to low serum direct bilirubin at baseline; waist circumference and fasting glucose criteria, and insulin resistance were associated with low serum direct bilirubin at follow-up. MetS diagnosis and the presence of the waist circumference criterion were more frequent at the baseline and the follow-up in low bilirubin group. At the end of the follow-up period, the rate of reverse MetS was significantly higher in the high bilirubin group. Conclusion: Our results have suggested that serum direct bilirubin levels showed a more reliable and stable relationship with abdominal obesity for MetS components.in patients with schizophrenia spectrum disorders using antipsychotics. Further studies are required. Copyright © 2017, Korean College of Neuropsychopharmacology

Generation of decellularized human brain tissue for investigating cell-matrix interactions: a proof-of-concept study

The brain extracellular matrix (ECM) regulates myelin repair and regeneration following a demyelinating event by interacting with neuronal progenitors and immune cells. Therefore, generation and characterization of decellularized human brain tissue (DHBT) in regions with distinct neuroregenerative capacities are essential to determine factors modulating the cellular regenerative behavior. We have established an effective decellularization protocol for the human neural stem cell (NSC)-rich subventricular zone (SVZ) as well as, frontal cortex (FC) and white matter (WM), and defined region-specific matrisomes with comparative proteomics. Subsequently, as proof-of-concept, survival and differentiation of NSCs and monocytes within the DHBT were investigated. The proteomic analysis of the DHBT confirmed the retention of matrisome proteins such as COL4A1, FBB, NCAN, ANXA2. Unique to the SVZ were LGI3 and C1QB, while annexins, S100A and TGM2 were found in FC; S100B was exclusive to the WM. NSCs cultured within WM and FC acquired an astrocytic phenotype, but both astrocytic and oligodendrocytic phenotypes were promoted by the SVZ DHBT. Moreover, imaging mass cytometry analysis indicated an anti-inflammatory phenotype differentiation of monocytes seeded on SVZ and WM. Thus, the established model is suitable for investigation of ECM properties and assessment of cell-matrix interactions

Establishing the phenotypic spectrum of ZTTK syndrome by analysis of 52 individuals with variants in SON

Zhu-Tokita-Takenouchi-Kim (ZTTK) syndrome, an intellectual disability syndrome first described in 2016, is caused by heterozygous loss-of-function variants in SON. Its encoded protein promotes pre-mRNA splicing of many genes essential for development. Whereas individual phenotypic traits have previously been linked to erroneous splicing of SON target genes, the phenotypic spectrum and the pathogenicity of missense variants have not been further evaluated. We present the phenotypic abnormalities in 52 individuals, including 17 individuals who have not been reported before. In total, loss-of-function variants were detected in 49 individuals (de novo in 47, inheritance unknown in 2), and in 3, a missense variant was observed (2 de novo, 1 inheritance unknown). Phenotypic abnormalities, systematically collected and analyzed in Human Phenotype Ontology, were found in all organ systems. Significant inter-individual phenotypic variability was observed, even in individuals with the same recurrent variant (n = 13). SON haploinsufficiency was previously shown to lead to downregulation of downstream genes, contributing to specific phenotypic features. Similar functional analysis for one missense variant, however, suggests a different mechanism than for heterozygous loss-of-function. Although small in numbers and while pathogenicity of these variants is not certain, these data allow for speculation whether de novo missense variants cause ZTTK syndrome via another mechanism, or a separate overlapping syndrome. In conclusion, heterozygous loss-of-function variants in SON define a recognizable syndrome, ZTTK, associated with a broad, severe phenotypic spectrum, characterized by a large inter-individual variability. These observations provide essential information for affected individuals, parents, and healthcare professionals to ensure appropriate clinical management

Evaluation of blood relaxin levels in bitches and queens for the diagnosis of pregnancy, false pregnancy and foetal deaths

WOS: 000229086400011

among the university students

Objective: The aim of this study is to reveal the relationship between internet addiction (IA) and smoking and alcohol use among university students. Method: 2096 students attending Pamukkale University were included in the study. Data collection tools were, Internet Addiction Scale (IAS), CAGE Test and Sociodemographic Data Form which was formed by the study authors for the present study to collect data about the student's age, sex, alcohol and cigarette use history and internet use characteristics (time spent online, type etc.). Results: The prevalence of internet addiction was found as 8.6% in our study group. Higher rates of smoking and alcohol use were found among students with internet addiction. In addition, students who smoke and use alcohol had significantly higher IAS scores compared to the students without alcohol or cigarette use. In our study positive relationship was found between IAS scores and CAGE scores. The frequency of alcohol use was found to increase significantly as the IAS scores increase. There was no significant difference between the groups in terms of the daily cigarette consumption amount. However, the average time spent on cigarette use was significantly higher in the group with internet addiction. In addition IAS scores were found to increase significantly as the smoking year and the amount of daily cigarette smoking increased. Discussion: According to the findings of our study, internet addiction seems to be a common problem among university students. Internet addiction was found to be associated with smoking and alcohol use

resistance in schizophrenia

The aim of the study was to determine the differences between expression levels of certain miRNAs, as their association with schizophrenia has been well presented in the literature, and to investigate their relation to treatment resistance in schizophrenic patients. Three groups were formed: 1) treatment resistant group, 2) treatment responsive group and 3) healthy control group. Expression levels of miRNAs from peripheric blood samples were determined by real-time quantitative reverse transcription polymerase chain reaction (qRT-PCR). We investigated the roles of 29 schizophrenia-related miRNAs in schizophrenia treatment and their potentials to be considered as indicators. Among these miRNAs, only miR-181b-5p, miR-195-5p and miR-301a-3p expressions were found to be significantly different between the treatment-resistant group and the group responding well to the treatment miRNAs may cause resistance by silencing the receptor genes of the drugs used for schizophrenia treatment. miR-181b-5p, miR-195-5p and miR-301a-3p may be candidate indicators that can be used to reveal resistance against schizophrenia treatment. (C) 2016 Elsevier Ireland Ltd. All rights reserved