Microarray Analysis of Human Blood During Electroconvulsive Therapy

Autor: Atsushi Tsutsumi, Hiroyuki Uenishi, Tetsufumi Kanazawa, Yasuo Kawabata, Takao Kaneko, Hiroki Kikuyama, Hiroshi Yoneda, Masaki Nishiguchi, Jun Koh, Souichiro Maruyama, Seiya Kawashige, Yoshitaka Nishizawa
Rok vydání: 2015
Předmět:
Zdroj: The Journal of Ect
ISSN: 1095-0680
Popis: Electroconvulsive therapy (ECT) is currently regarded as a valuable treatment option for intractable psychiatric disorders. In particular, in the case of drug-resistant depression1,2 or catatonic schizophrenia,3,4 ECT can be very effective if the appropriate technique is used. Although the underlying molecular mechanism for this therapy remains unclear, some key findings have been reported thus far.5,6 Briefly, in the context of animal models, electroconvulsive shock (ECS) induces the activation of N-methyl-d-aspartate7,8 (NMDA) and α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid–related receptors (AMPA, α-amino-3-hydroxy-5-methylisoxazole-4-propionic acid9) followed by increased hippocampal neurogenesis. These previous findings were based on assessments of biological samples treated with ECT (ECS); both humans and rodents have been studied. For example, the expression of mRNA of neuropeptide Y (NPY) at rat dorsal spinal cords,10 hippocampus,11,12 dentate gyrus, and piriform cortex13 was increased, whereas its receptors (NPY1r, NPY2r, and NPY5r) were decreased.12 Previous analyses using quantitative polymerase chain reaction (qPCR) have been driven primarily by functional interest in a selected gene, and a comprehensive analysis of gene expression in human samples has not been performed thus far. The adoption of microarray technology for analysis of biological samples shows a strong advantage over qPCR because of the overwhelming abundance of genes that may be analyzed. Moreover, the latter technology has a greater possibility of detecting genes that are actually involved because the technique is not restricted by functional hypotheses. When samples are analyzed appropriately, microarray technology provides novel insight on biological change. Using microarrays, we sought to evaluate changes in mRNA gene expression in peripheral blood samples between pre-ECT and post-ECT in real-world clinical practice.
Databáze: OpenAIRE