Up-Regulation of S100 Gene Family in Brain Samples of a Subgroup of Individuals with Schizophrenia: Meta-analysis.

The S100 proteins family is known to affect neuroinflammation and astrocyte activation, which have been suggested to be contributors to the pathogenesis of schizophrenia. We conducted a systematic meta-analysis of S100 genes differential expression in postmortem samples of patients with schizophrenia vs. healthy controls, following the commonly used Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. Twelve microarray datasets met the inclusion criteria (overall 511 samples, 253 schizophrenia and 258 controls were analyzed). Nine out of 21 genes were significantly up-regulated or with tendency for up-regulation. A per-sample fold change analysis indicated that the S100 genes' up-regulation was concentrated in a subgroup of the patients. None of the genes have been found to be down-regulated. ANXA3, which encodes Annexin 3 protein and was associated with neuroinflammation, was up-regulated and positively correlated with the S100 genes' expression pattern. In addition, astrocytes and endothelial cell markers were significantly correlated with S100A8 expression. S100 correlation with ANXA3 and endothelial cell markers suggests that the up-regulation we detected reflects increased inflammation. However, it might also reflect astrocytes abundance or activation. The fact that S100 proteins were shown to be up-regulated in blood samples and other body fluids of patients with schizophrenia suggests a potential role as biomarkers, which might help disease subtyping, and the development of etiological treatments for immune dysregulation in schizophrenia.

A three-tier process for screening depression and anxiety among children and adolescents with cancer.

OBJECTIVE: To establish and to evaluate the effectiveness of a three-tier screening process of depressive and anxiety disorders among children and adolescents with cancer based on questionnaires (first tier), semistructured psychiatric interviews (second tier), and referral for psychiatric assessment and recommendations for treatment (third tier). We also aimed to determine the rates of depressive and anxiety disorders among participants. METHODS: Participants and their parents completed the Patient Reported Outcomes Measurement Information System (PROMIS) Depression and Anxiety modules. Then, they were interviewed separately using the semistructured Affective and Anxiety Modules of the Schedule for Affective Disorders and Schizophrenia for School-Age Children (K-SADS). PROMIS cutoff values for diagnosing depressive and anxiety disorders, based on the K-SADS, were calculated by receiver-operating characteristics (ROCs). RESULTS: Of 91 participants 34 (37.4%) aged 7 to 21 years with cancer met the K-SADS criteria for depressive and/or anxiety disorders. The results of the ROC analyses were stronger for depressive disorders than for anxiety disorders and for more severe cases. The cutoff of 13 on the child-reported PROMIS for a major depressive episode had a sensitivity of 0.80 and a specificity of 0.82, and a cutoff of 14 on the parent-reported PROMIS for generalized anxiety disorder had a sensitivity of 0.78 and a specificity of 0.79. CONCLUSIONS: Using the K-SADS, we found that anxiety and depressive disorders are very common in youngsters with cancer. The three-tier screening process we developed for depression and anxiety in this population provides practical cutoff values for identifying depressive and anxiety disorders in children with cancer.