O potencial da rotulação metabólica de 15N para a pesquisa de esquizofrenia / The potential of 15N metabolic labeling for schizophrenia research

Pesquisas em psiquiatria ainda necessitam de estudos não dirigidos por hipóteses para revelar fundamentos neurobiológicos e biomarcadores moleculares para distúrbios psiquiátricos. Metodologias proteômicas disponibilizam uma série de ferramentas para esses fins. Apresentamos o princípio de rotulação metabólica utilizando 15N para proteômica quantitativa e suas aplicações em modelos animais de fenótipos psiquiátricos com um foco particular em esquizofrenia. Exploramos o potencial de rotulação metabólica por 15N em diferentes tipos de experimentos, bem como suas considerações metodológicas

Psychiatric research is in need of non-hypothesis driven approaches to unravel the neurobiological underpinnings and identify molecular biomarkers for psychiatric disorders. Proteomics methodologies constitute a state-of-the-art toolbox for biomarker discovery in psychiatric research. Here we present the principle of in vivo 15N metabolic labeling for quantitative proteomics experiments and applications of this method in animal models of psychiatric phenotypes, with a particular focus on schizophrenia. Additionally we explore the potential of 15N metabolic labeling in different experimental set-ups as well as methodological considerations of 15N metabolic labeling-based quantification studies

Association of G72 gene locus with schizophrenia in Chinese females of Han ethnicity / 第二军医大学学报

Objective: To examine the relationship between G72 gene locus (an important gene of NMDA receptor pathway) and schizophrenia in Chinese females. Methods: We genotyped three single-nucleotide polymorphisms (rs3916965, rs3916967 and rs2391191) in G72 gene locus region in 545 Chinese females of Han ethnicity (260 schizophrenia cases and 285 healthy controls) and performed the linkage disequilibrium analysis. Results: Significant association was found between two SNPs and schizophrenia (P = 0.038, 6 for the allele G of rs3916967 and P = 0.009, 6 for the allele A of rs2391191). Furthermore, three SNPs were used in multiple haplotype analysis and significant difference was found for the common haplotype GAG (P = 0.002, 4). Conclusion: G72 gene may be a candidate susceptible gene for schizophrenia in the Chinese females of Han ethnicity. Further efforts are warranted to confirm our findings.