The prevalence of childhood psychopathology in Turkey: a cross-sectional multicenter nationwide study (EPICPAT-T)

AIM

The aim of this study was to determine the prevalence of childhood psychopathologies in Turkey.

METHOD

A nation-wide, randomly selected, representative population of 5830 children (6-13 years-old) enrolled as a 2nd,3rd or 4th grade student in 30 cities were evaluated for presence of a psychiatric or mental disorder by a Sociodemographic Form, Kiddie Schedule for Affective Disorders and Schizophrenia for School Age Children-Present and Lifetime Version (K-SADS-PL), and DSM-IV-Based Screening Scale for Disruptive Behavior Disorders in Children and Adolescents scales. Impairment criterion was assessed via a 3 point-Likert scale by the parent and the teacher independently.

RESULTS

Overall prevalence of any psychopathology was 37.6% without impairment criterion, and 17.1% with impairment criterion. Attention-deficit hyperactivity disorder was the most frequent diagnosis, followed by anxiety (19.5% and 16.7% without impairment, 12.4% and 5.3% with impairment, respectively). Lower education level and presence of a physical or psychiatric problem of the parents were independent predictors of any psychopathology of the offspring.

CONCLUSION

This is the largest and most comprehensive epidemiological study to determine the prevalence of psychopathologies in children and adolescents in Turkey. Our results partly higher than, and partly comparable to previous national and international studies. It also contributes to the literature by determining the independent predictors of psychopathologies in this age group.

Internet addiction and attention-deficit-hyperactivity disorder: Effects of anxiety, depression and self-esteem

BACKGROUND

Attention-deficit-hyperactivity disorder (ADHD) is one of the most common neurodevelopmental disorders of childhood. Behavioral disinhibition, poor neurocognitive skills and immediate reward preference in children with ADHD have been suggested as risk factors for Internet addiction (IA). The aim of the present study was therefore to investigate the relationship between IA and depression, anxiety, and self-esteem in adolescents with ADHD, and to identify the features of Internet use that predict IA.

METHODS

We studied 111 patients with ADHD aged 12-18 years, and 108 healthy controls. The ADHD patients and controls were asked to complete a sociodemographic data form, the Internet Addiction Scale (IAS), Children's Depression Inventory, Childhood Screening Scale for Anxiety in Children, and the Rosenberg Self-Esteem Scale.

RESULTS

IAS total score in the adolescents with ADHD was significantly higher than in the control group. Compared with the control group, the ADHD group depression scale score was significantly higher, and self-esteem score significantly lower (P < 0.05 for both). There was no difference between the groups in anxiety score. IAS score had a positive correlation with depression and anxiety scores, and a negative correlation with self-esteem score.

CONCLUSION

The relationship between IA scale score and depression, anxiety and self-esteem scale scores were similar in the ADHD and the control group. In addition, IAS subscale and total scores were significantly higher in the ADHD group than the control group, even after controlling for the effects of self-esteem, depression and anxiety scores. Thus, ADHD is thought to be an independent risk factor for depression, anxiety and self-esteem, and, hence, for IA.

Inflammation and regulatory T cell genes are differentially expressed in peripheral blood mononuclear cells of Parkinson's disease patients

Our aim was to identify the differentially expressed genes (DEGs) in peripheral blood mononuclear cells (PBMC) of Parkinson’s disease (PD) patients and healthy controls by microarray technology and analysis of related molecular pathways by functional annotation. Thirty PD patients and 30 controls were enrolled. Agilent Human 8X60 K Oligo Microarray was used for gene level expression identification. Gene ontology and pathway enrichment analyses were used for functional annotation of DEGs. Protein–protein interaction analyses were performed with STRING. Expression levels of randomly selected DEGs were quantified by real time quantitative polymerase chain reaction (RT-PCR) for validation. Flow cytometry was done to determine frequency of regulatory T cells (Tregs) in PBMC. A total of 361 DEGs (143 upregulated and 218 downregulated) were identified after GeneSpring analysis. DEGs were involved in 28 biological processes, 12 cellular components and 26 molecular functions. Pathway analyses demonstrated that upregulated genes mainly enriched in p53 (CASP3, TSC2, ATR, MDM4, CCNG1) and PI3K/Akt (IL2RA, IL4R, TSC2, VEGFA, PKN2, PIK3CA, ITGA4, BCL2L11) signaling pathways. TP53 and PIK3CA were identified as most significant hub proteins. Expression profiles obtained by RT-PCR were consistent with microarray findings. PD patients showed increased proportions of CD49d⁺ Tregs, which correlated with disability scores. Survival pathway genes were upregulated putatively to compensate neuronal degeneration. Bioinformatics analysis showed an association between survival and inflammation genes. Increased CD49d⁺ Treg ratios might signify the effort of the immune system to suppress ongoing neuroinflammation.

Six potential biomarkers for bladder cancer: key proteins in cell-cycle division and apoptosis pathways

BACKGROUND

The bladder cancer (BC) pathology is caused by both exogenous environmental and endogenous molecular factors. Several genes have been implicated, but the molecular pathogenesis of BC and its subtypes remains debatable. The bioinformatic analysis evaluates high numbers of proteins in a single study, increasing the opportunity to identify possible biomarkers for disorders.

METHODS

The aim of this study is to identify biomarkers for the identification of BC using several bioinformatic analytical tools and methods. BC and normal samples were compared for each probeset with T test in GSE13507 and GSE37817 datasets, and statistical probesets were verified with GSE52519 and E-MTAB-1940 datasets. Differential gene expression, hierarchical clustering, gene ontology enrichment analysis, and heuristic online phenotype prediction algorithm methods were utilized. Statistically significant proteins were assessed in the Human Protein Atlas database. GSE13507 (6271 probesets) and GSE37817 (3267 probesets) data were significant after the extraction of probesets without gene annotation information. Common probesets in both datasets (2888) were further narrowed by analyzing the first 100 upregulated and downregulated probesets in BC samples.

RESULTS

Among the total 400 probesets, 68 were significant for both datasets with similar fold-change values (Pearson r: 0.995). Protein-protein interaction networks demonstrated strong interactions between CCNB1, BUB1B, and AURKB. The HPA database revealed similar protein expression levels for CKAP2L, AURKB, APIP, and LGALS3 both for BC and control samples.

CONCLUSION

This study disclosed six candidate biomarkers for the early diagnosis of BC. It is suggested that these candidate proteins be investigated in a wet lab to identify their functions in BC pathology and possible treatment approaches.

The effect of CYP1A1 and GSTM1 gene polymorphisms in bladder cancer development in a Turkish population

BACKGROUND

The aim of this study was to investigate a possible association of the CYP1A1 Ile462Val and GSTM1 null polymorphisms with the risk of developing bladder cancer in a Turkish population.

PATIENTS AND METHODS

The study constituted 176 patients with bladder cancer and 97 healthy individuals. Evaluation of CYP1A1 Ile462Val gene polymorphism was performed by polymerase chain reaction (PCR) and restriction fragment length polymorphism (RFLP). GSTM1 null gene polymorphism was exclusively determined by PCR. Our results were examined by statistical analyses.

RESULTS

There were no significant differences in CYP1A1 genotype frequencies between patients and controls. Furthermore, the frequency of GSTM1 null genotype was higher in patients compared to controls, but it did not reach significance (p=0.622 χ(2)=0.243 OR=0.94 95% CI=0.75-1.18). Significance was discovered in combined analysis of CYP1A1 and GSTM1 genotypes. In the present study, GSTM1 null genotype with CYP1A1 Ile/Ile genotype combination was significantly more frequent in the patient group than in controls (p=0,04, χ(2)=4.217). At the same time, possessing both GSTM1 null genotype and CYP1A1 Val variants (Ile/Val+Val/Val) were significantly higher in control group than in patients (p=0.017, χ(2)=5.468). When the pathological tumor grades were assessed, the frequency of CYP1A1 Val mutant variant with GSTM1 null genotype combination was higher in patients with medium and high-grade tumors than in those with low-grade tumors (p=0.06, χ(2)=3.527, OR=1.36 95% CI=1.03-1.78).

CONCLUSION

We suggest that the CYP1A1 Ile/Ile genotype with GSTM1 null genotype combination may contribute to the development of bladder cancer in this Turkish population.

Determination of gene expression and serum levels of MnSOD and GPX1 in colorectal cancer

BACKGROUND/AIM

Oxidative stress plays a role on the development of colorectal cancer. Manganese superoxide dismutase (MnSOD) and glutathione peroxidase 1 (GPX1) are crucial in regulating oxidative balance and its stabilization. Possible mechanisms of action of these enzymes in various types of cancers require further investigation. We aimed to determine expression levels of these genes and their effects on protein levels in serum of patients with colorectal cancer.

MATERIALS AND METHODS

Expression levels of genes were determined using Real Time-Polymerase chain reaction in 35 patients with colorectal cancer. We used enzyme-linked immunosorbent assay to determine MnSOD and GPX1 levels.

RESULTS

We found significant differences in GPX1 expression between tumor and normal tissues, with a 2-fold decrease in tumor tissues (p<0.05). However, although no significant difference was found between the expression of MnSOD gene in tumor and that in normal tissues, there was a 1.13-fold change in expression. We observed no relationship between expressions of either gene and their levels in serum.

CONCLUSION

The GPX1 gene may play a critical role in the development of colorectal cancer.