TY  - JOUR
PY  - 2018//
TI  - Integrated profiling of phenotype and blood transcriptome for stress vulnerability and depression
JO  - Journal of psychiatric research
A1  - Hori, Hiroaki
A1  - Nakamura, Seiji
A1  - Yoshida, Fuyuko
A1  - Teraishi, Toshiya
A1  - Sasayama, Daimei
A1  - Ota, Miho
A1  - Hattori, Kotaro
A1  - Kim, Yoshiharu
A1  - Higuchi, Teruhiko
A1  - Kunugi, Hiroshi
SP  - 202
EP  - 210
VL  - 104
IS  - 
N2  - Etiology of depression and its vulnerability remains elusive. Using a latent profile analysis on dimensional personality traits, we previously identified 3 different phenotypes in the general population, namely stress-resilient, -vulnerable, and -resistant groups. Here we performed microarray-based blood gene expression profiling of these 3 groups (n = 20 for each group) in order to identify genes involved in stress vulnerability as it relates to the risk of depression. Identified differentially expressed genes among the groups were most markedly enriched in ribosome-related pathways. These ribosomal genes, which included ribosomal protein L17 (RPL17) and ribosomal protein L34 (RPL34), were upregulated in relation to the stress vulnerability. Protein-protein interaction and correlational co-expression analyses of the differentially expressed genes/non-coding RNAs consistently showed that functional networks involving ribosomes were affected. The significant upregulation of RPL17 and RPL34 was also observed in depressed patients compared to healthy controls, as confirmed in 2 independent case-control datasets by using pooled microarray data and qPCR experiments (total number of subjects was 122 and 166, respectively). Moreover, the upregulation of RPL17 and RPL34 was most marked in DSM-IV major depressive disorder, followed by in bipolar disorder, and then in schizophrenia, suggesting some diagnostic specificity of these markers as well as their general roles in stress vulnerability. These results suggest that ribosomal genes, particularly RPL17 and RPL34, can play integral roles in stress vulnerability and depression across nonclinical and clinical conditions. This study presents an opportunity to understand how multiple psychological traits and underlying molecular mechanisms interact to render individuals vulnerable to depression.<br><br>Copyright © 2018 Elsevier Ltd. All rights reserved.<p />  <p>Language: en</p>
LA  - en
SN  - 0022-3956
UR  - http://dx.doi.org/10.1016/j.jpsychires.2018.08.010
ID  - ref1
ER  -