Identification of Hub Genes and Key Pathways Associated With Bipolar Disorder Based on Weighted Gene Co-expression Network Analysis

Bipolar disorder (BD) is a complex mental disorder with high mortality and disability rates worldwide; however, research on its pathogenesis and diagnostic methods remains limited. This study aimed to elucidate potential candidate hub genes and key pathways related to BD in a pre-frontal cortex samp...

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Main Authors: Yang Liu, Hui-Yun Gu, Jie Zhu, Yu-Ming Niu, Chao Zhang, Guang-Ling Guo
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-08-01
Series:Frontiers in Physiology
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fphys.2019.01081/full
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author Yang Liu
Hui-Yun Gu
Jie Zhu
Yu-Ming Niu
Chao Zhang
Guang-Ling Guo
author_facet Yang Liu
Hui-Yun Gu
Jie Zhu
Yu-Ming Niu
Chao Zhang
Guang-Ling Guo
author_sort Yang Liu
collection DOAJ
description Bipolar disorder (BD) is a complex mental disorder with high mortality and disability rates worldwide; however, research on its pathogenesis and diagnostic methods remains limited. This study aimed to elucidate potential candidate hub genes and key pathways related to BD in a pre-frontal cortex sample. Raw gene expression profile files of GSE53987, including 36 samples, were obtained from the gene expression omnibus (GEO) database. After data pre-processing, 10,094 genes were selected for weighted gene co-expression network analysis (WGCNA). After dividing highly related genes into 19 modules, we found that the pink, midnight blue, and brown modules were highly correlated with BD. Functional annotation and pathway enrichment analysis for modules, which indicated some key pathways, were conducted based on the Enrichr database. One of the most remarkable significant pathways is the Hippo signaling pathway and its positive transcriptional regulation. Finally, 30 hub genes were identified in three modules. Hub genes with a high degree of connectivity in the PPI network are significantly enriched in positive regulation of transcription. In addition, the hub genes were validated based on another dataset (GSE12649). Taken together, the identification of these 30 hub genes and enrichment pathways might have important clinical implications for BD treatment and diagnosis.
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spelling doaj.art-f039815ed5ad41168fbe7b5ce8af418d2022-12-21T23:58:44ZengFrontiers Media S.A.Frontiers in Physiology1664-042X2019-08-011010.3389/fphys.2019.01081431839Identification of Hub Genes and Key Pathways Associated With Bipolar Disorder Based on Weighted Gene Co-expression Network AnalysisYang Liu0Hui-Yun Gu1Jie Zhu2Yu-Ming Niu3Chao Zhang4Guang-Ling Guo5Center for Evidence-Based Medicine and Clinical Research, Taihe Hospital, Hubei University of Medicine, Shiyan, ChinaDepartment of Orthopedic, Zhongnan Hospital of Wuhan University, Wuhan, ChinaTrade Union, Taihe Hospital, Hubei University of Medicine, Shiyan, ChinaCenter for Evidence-Based Medicine and Clinical Research, Taihe Hospital, Hubei University of Medicine, Shiyan, ChinaCenter for Evidence-Based Medicine and Clinical Research, Taihe Hospital, Hubei University of Medicine, Shiyan, ChinaCenter of Women’s Health Sciences, Taihe Hospital, Hubei University of Medicine, Shiyan, ChinaBipolar disorder (BD) is a complex mental disorder with high mortality and disability rates worldwide; however, research on its pathogenesis and diagnostic methods remains limited. This study aimed to elucidate potential candidate hub genes and key pathways related to BD in a pre-frontal cortex sample. Raw gene expression profile files of GSE53987, including 36 samples, were obtained from the gene expression omnibus (GEO) database. After data pre-processing, 10,094 genes were selected for weighted gene co-expression network analysis (WGCNA). After dividing highly related genes into 19 modules, we found that the pink, midnight blue, and brown modules were highly correlated with BD. Functional annotation and pathway enrichment analysis for modules, which indicated some key pathways, were conducted based on the Enrichr database. One of the most remarkable significant pathways is the Hippo signaling pathway and its positive transcriptional regulation. Finally, 30 hub genes were identified in three modules. Hub genes with a high degree of connectivity in the PPI network are significantly enriched in positive regulation of transcription. In addition, the hub genes were validated based on another dataset (GSE12649). Taken together, the identification of these 30 hub genes and enrichment pathways might have important clinical implications for BD treatment and diagnosis.https://www.frontiersin.org/article/10.3389/fphys.2019.01081/fullbipolar disorderhub genesWGCNApre-frontal cortexmodules
spellingShingle Yang Liu
Hui-Yun Gu
Jie Zhu
Yu-Ming Niu
Chao Zhang
Guang-Ling Guo
Identification of Hub Genes and Key Pathways Associated With Bipolar Disorder Based on Weighted Gene Co-expression Network Analysis
Frontiers in Physiology
bipolar disorder
hub genes
WGCNA
pre-frontal cortex
modules
title Identification of Hub Genes and Key Pathways Associated With Bipolar Disorder Based on Weighted Gene Co-expression Network Analysis
title_full Identification of Hub Genes and Key Pathways Associated With Bipolar Disorder Based on Weighted Gene Co-expression Network Analysis
title_fullStr Identification of Hub Genes and Key Pathways Associated With Bipolar Disorder Based on Weighted Gene Co-expression Network Analysis
title_full_unstemmed Identification of Hub Genes and Key Pathways Associated With Bipolar Disorder Based on Weighted Gene Co-expression Network Analysis
title_short Identification of Hub Genes and Key Pathways Associated With Bipolar Disorder Based on Weighted Gene Co-expression Network Analysis
title_sort identification of hub genes and key pathways associated with bipolar disorder based on weighted gene co expression network analysis
topic bipolar disorder
hub genes
WGCNA
pre-frontal cortex
modules
url https://www.frontiersin.org/article/10.3389/fphys.2019.01081/full
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