Serum S100B Is Related to Illness Duration and Clinical Symptoms in Schizophrenia—A Meta-Regression Analysis

• Published in: Frontiers in cellular neuroscience Vol. 10; p. 46
• Main Authors: Schümberg, Katharina, Polyakova, Maryna, Steiner, Johann, Schroeter, Matthias L.
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Research Foundation 25.02.2016; Frontiers Media S.A
• Subjects: Age; Brain research; Gene expression; glia; Illnesses; Mental disorders; Meta-analysis; Neuroscience; Neurosciences; Proteins; Psychiatry; Regression analysis; S100B; S100b protein; Schizophrenia; Serum levels; serum marker; Software; Studies; Tumor necrosis factor-TNF; Germany; meta-analysis; schizophrenia; S100B; serum marker; glia
• ISSN: 1662-5102; 1662-5102
• DOI: 10.3389/fncel.2016.00046

S100B has been linked to glial pathology in several psychiatric disorders. Previous studies found higher S100B serum levels in patients with schizophrenia compared to healthy controls, and a number of covariates influencing the size of this effect have been proposed in the literature. Here, we conducted a meta-analysis and meta-regression analysis on alterations of serum S100B in schizophrenia in comparison with healthy control subjects. The meta-analysis followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement to guarantee a high quality and reproducibility. With strict inclusion criteria 19 original studies could be included in the quantitative meta-analysis, comprising a total of 766 patients and 607 healthy control subjects. The meta-analysis confirmed higher values of the glial serum marker S100B in schizophrenia if compared with control subjects. Meta-regression analyses revealed significant effects of illness duration and clinical symptomatology, in particular the total score of the Positive and Negative Syndrome Scale (PANSS), on serum S100B levels in schizophrenia. In sum, results confirm glial pathology in schizophrenia that is modulated by illness duration and related to clinical symptomatology. Further studies are needed to investigate mechanisms and mediating factors related to these findings.