Literature DB >> 31150948

Interactome Analyses implicated CAMK2A in the genetic predisposition and pharmacological mechanism of Bipolar Disorder.

Huijuan Li1, Dong-Sheng Zhou2, Hong Chang3, Lu Wang3, Weipeng Liu1, Shao-Xing Dai4, Chen Zhang5, Jun Cai5, Weiqing Liu6, Xingxing Li2, Weixing Fan7, Wei Tang8, Wenxin Tang9, Fang Liu6, Yuanfang He6, Yan Bai6, Zhonghua Hu10, Xiao Xiao3, Lei Gao11, Ming Li12.   

Abstract

Bipolar disorder (BPD) is a severe mental illness characterized by fluctuations in mood states, behaviors and energy levels. Growing evidence suggests that genes associated with specific illnesses tend to interact together and encode a tight protein-protein interaction (PPI) network, providing valuable information for understanding their pathogenesis. To gain insights into the genetic and physiological foundation of BPD, we conduct the physical PPI analysis of 184 BPD risk genes distilled from genome-wide association studies and exome sequencing studies. We have identified several hub genes (CAMK2A, HSP90AA1 and PLCG1) among those risk genes, and observed significant enrichment of the BPD risk genes in certain pathways such as calcium signaling, oxytocin signaling and circadian entrainment. Furthermore, while none of the 184 genetic risk genes are "well established" BPD drug targets, our PPI analysis showed that αCaMKII (encoded by CAMK2A) had direct physical PPIs with targets (HRH1, SCN5A and CACNA1E) of clinically used anti-manic BPD drugs, such as carbamazepine. We thus speculated that αCaMKII might be involved in the cellular pharmacological actions of those drugs. Using cultured rat primary cortical neurons, we found that carbamazepine treatment induced phosphorylation of αCaMKII in dose-dependent manners. Intriguingly, previous study showed that CAMK2A heterozygous knockout (CAMK2A+/-) mice exhibited infradian oscillation of locomotor activities that can be rescued by carbamazepine. Our data, in combination with previous studies, provide convergent evidence for the involvement of CAMK2A in the risk of BPD.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Bipolar disorder; CAMK2A; Protein-protein interaction; Risk gene; αCaMKII

Year:  2019        PMID: 31150948     DOI: 10.1016/j.jpsychires.2019.05.024

Source DB:  PubMed          Journal:  J Psychiatr Res        ISSN: 0022-3956            Impact factor:   4.791


  7 in total

1.  The genome-wide risk alleles for psychiatric disorders at 3p21.1 show convergent effects on mRNA expression, cognitive function, and mushroom dendritic spine.

Authors:  Zhihui Yang; Danyang Zhou; Huijuan Li; Xin Cai; Weipeng Liu; Lu Wang; Hong Chang; Ming Li; Xiao Xiao
Journal:  Mol Psychiatry       Date:  2019-11-13       Impact factor: 15.992

Review 2.  Repurposing Drugs via Network Analysis: Opportunities for Psychiatric Disorders.

Authors:  Trang T T Truong; Bruna Panizzutti; Jee Hyun Kim; Ken Walder
Journal:  Pharmaceutics       Date:  2022-07-14       Impact factor: 6.525

3.  Independent replications and integrative analyses confirm TRANK1 as a susceptibility gene for bipolar disorder.

Authors:  Wenqiang Li; Xin Cai; Hui-Juan Li; Meng Song; Chu-Yi Zhang; Yongfeng Yang; Luwen Zhang; Lijuan Zhao; Weipeng Liu; Lu Wang; Minglong Shao; Yan Zhang; Chen Zhang; Jun Cai; Dong-Sheng Zhou; Xingxing Li; Li Hui; Qiu-Fang Jia; Na Qu; Bao-Liang Zhong; Shu-Fang Zhang; Jing Chen; Bin Xia; Yi Li; Xueqin Song; Weixing Fan; Wei Tang; Wenxin Tang; Jinsong Tang; Xiaogang Chen; Weihua Yue; Dai Zhang; Yiru Fang; Xiao Xiao; Ming Li; Luxian Lv; Hong Chang
Journal:  Neuropsychopharmacology       Date:  2020-08-13       Impact factor: 7.853

4.  Peripheral blood metabolome predicts mood change-related activity in mouse model of bipolar disorder.

Authors:  Hideo Hagihara; Tomoyasu Horikawa; Yasuhiro Irino; Hironori K Nakamura; Juzoh Umemori; Hirotaka Shoji; Masaru Yoshida; Yukiyasu Kamitani; Tsuyoshi Miyakawa
Journal:  Mol Brain       Date:  2019-12-10       Impact factor: 4.041

5.  Further confirmation of netrin 1 receptor (DCC) as a depression risk gene via integrations of multi-omics data.

Authors:  Hui-Juan Li; Na Qu; Li Hui; Xin Cai; Chu-Yi Zhang; Bao-Liang Zhong; Shu-Fang Zhang; Jing Chen; Bin Xia; Lu Wang; Qiu-Fang Jia; Wei Li; Hong Chang; Xiao Xiao; Ming Li; Yi Li
Journal:  Transl Psychiatry       Date:  2020-03-17       Impact factor: 6.222

6.  Investigating aberrantly expressed microRNAs in peripheral blood mononuclear cells from patients with treatment‑resistant schizophrenia using miRNA sequencing and integrated bioinformatics.

Authors:  Xu You; Yunqiao Zhang; Qing Long; Zijun Liu; Xiao Ma; Zixiang Lu; Wei Yang; Ziqiao Feng; Wengyu Zhang; Zhaowei Teng; Yong Zeng
Journal:  Mol Med Rep       Date:  2020-09-15       Impact factor: 2.952

7.  Does single gene expression omnibus data mining analysis apply for only tumors and not mental illness? A preliminary study on bipolar disorder based on bioinformatics methodology.

Authors:  Xu You; Yunqiao Zhang; Qing Long; Zijun Liu; Ziqiao Feng; Wengyu Zhang; Zhaowei Teng; Yong Zeng
Journal:  Medicine (Baltimore)       Date:  2020-08-28       Impact factor: 1.817

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.