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综合网络分析确定了精神分裂症和双相情感障碍中神经免疫系统的差异调节。

Integrative network analysis identifies differential regulation of neuroimmune system in Schizophrenia and Bipolar disorder.

作者信息

Sahu Ankur, Chowdhury Hussain Ahmed, Gaikwad Mithil, Chongtham Chen, Talukdar Uddip, Phukan Jadab Kishor, Bhattacharyya Dhruba Kumar, Barah Pankaj

机构信息

Department of Molecular Biology and Biotechnology, Tezpur University, 784028, India.

Department of Computer Science and Engineering, Tezpur University, 784028, India.

出版信息

Brain Behav Immun Health. 2019 Dec 16;2:100023. doi: 10.1016/j.bbih.2019.100023. eCollection 2020 Feb.

Abstract

BACKGROUND

Neuropsychiatric disorders such as Schizophrenia (SCZ) and Bipolar disorder (BPD) pose a broad range of problems with different symptoms mainly characterized by some combination of abnormal thoughts, emotions, behaviour, etc. However, in depth molecular and pathophysiological mechanisms among different neuropsychiatric disorders have not been clearly understood yet. We have used RNA-seq data to investigate unique and overlapping molecular signatures between SCZ and BPD using an integrative network biology approach.

METHODS

RNA-seq count data were collected from NCBI-GEO database generated on post-mortem brain tissues of controls (n = 24) and patients of BPD (n = 24) and SCZ (n = 24). Differentially expressed genes (DEGs) were identified using the consensus of DESeq2 and edgeR tools and used for downstream analysis. Weighted gene correlation networks were constructed to find non-preserved (NP) modules for SCZ, BPD and control conditions. Topological analysis and functional enrichment analysis were performed on NP modules to identify unique and overlapping expression signatures during SCZ and BPD conditions.

RESULTS

We have identified four NP modules from the DEGs of BPD and SCZ. Eleven overlapping genes have been identified between SCZ and BPD networks, and they were found to be highly enriched in inflammatory responses. Among these eleven genes, TNIP2, TNFRSF1A and AC005840.1 had higher sum of connectivity exclusively in BPD network. In addition, we observed that top five genes of NP module from SCZ network were downregulated which may be a key factor for SCZ disorder.

CONCLUSIONS

Differential activation of the immune system components and pathways may drive the common and unique pathogenesis of the BPD and SCZ.

摘要

背景

精神分裂症(SCZ)和双相情感障碍(BPD)等神经精神疾病存在广泛问题,具有不同症状,主要表现为异常思维、情绪、行为等的某种组合。然而,不同神经精神疾病之间深入的分子和病理生理机制尚未完全明确。我们使用RNA测序数据,采用整合网络生物学方法研究SCZ和BPD之间独特和重叠的分子特征。

方法

从NCBI-GEO数据库收集RNA测序计数数据,这些数据来自对照组(n = 24)、BPD患者(n = 24)和SCZ患者(n = 24)的死后脑组织。使用DESeq2和edgeR工具的共识鉴定差异表达基因(DEG),并用于下游分析。构建加权基因共表达网络,以找到SCZ、BPD和对照条件下的非保守(NP)模块。对NP模块进行拓扑分析和功能富集分析,以识别SCZ和BPD条件下独特和重叠的表达特征。

结果

我们从BPD和SCZ的DEG中鉴定出四个NP模块。在SCZ和BPD网络之间鉴定出11个重叠基因,发现它们在炎症反应中高度富集。在这11个基因中,TNIP2、TNFRSF1A和AC005840.1仅在BPD网络中具有较高的连接性总和。此外,我们观察到SCZ网络中NP模块的前五个基因下调,这可能是SCZ疾病的关键因素。

结论

免疫系统成分和途径的差异激活可能驱动BPD和SCZ的共同和独特发病机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c65/8474577/3873538be81e/gr1.jpg

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