Gene expression insights: Chronic stress and bipolar disorder: A bioinformatics investigation

Rongyanqi Wang; Lan Li; Man Chen; Xiaojuan Li; Yueyun Liu; Zhe Xue; Qingyu Ma; Jiaxu Chen; Rongyanqi Wang; Lan Li; Man Chen; Xiaojuan Li; Yueyun Liu; Zhe Xue; Qingyu Ma; Jiaxu Chen

doi:10.3934/mbe.2024018

Mathematical Biosciences and Engineering

2024, Volume 21, Issue 1: 392-414. doi: 10.3934/mbe.2024018

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Gene expression insights: Chronic stress and bipolar disorder: A bioinformatics investigation

1.
School of Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China
2.
College of Basic Medicine, Hubei University of Chinese Medicine, Wuhan 430065, China
3.
Guangzhou Key Laboratory of Formula-Pattern of Traditional Chinese Medicine, Formula-Pattern Research Center, School of Traditional Chinese Medicine, Jinan University, Guangzhou 510632, China

Academic Editor: Binh P. Nguyen

Received: 21 November 2023 Revised: 03 December 2023 Accepted: 04 December 2023 Published: 13 December 2023

Bipolar disorder (BD) is a psychiatric disorder that affects an increasing number of people worldwide. The mechanisms of BD are unclear, but some studies have suggested that it may be related to genetic factors with high heritability. Moreover, research has shown that chronic stress can contribute to the development of major illnesses. In this paper, we used bioinformatics methods to analyze the possible mechanisms of chronic stress affecting BD through various aspects. We obtained gene expression data from postmortem brains of BD patients and healthy controls in datasets GSE12649 and GSE53987, and we identified 11 chronic stress-related genes (CSRGs) that were differentially expressed in BD. Then, we screened five biomarkers (IGFBP6, ALOX5AP, MAOA, AIF1 and TRPM3) using machine learning models. We further validated the expression and diagnostic value of the biomarkers in other datasets (GSE5388 and GSE78936) and performed functional enrichment analysis, regulatory network analysis and drug prediction based on the biomarkers. Our bioinformatics analysis revealed that chronic stress can affect the occurrence and development of BD through many aspects, including monoamine oxidase production and decomposition, neuroinflammation, ion permeability, pain perception and others. In this paper, we confirm the importance of studying the genetic influences of chronic stress on BD and other psychiatric disorders and suggested that biomarkers related to chronic stress may be potential diagnostic tools and therapeutic targets for BD.
- bipolar disorder,
- chronic stress,
- gene expression,
- bioinformatics
Citation: Rongyanqi Wang, Lan Li, Man Chen, Xiaojuan Li, Yueyun Liu, Zhe Xue, Qingyu Ma, Jiaxu Chen. Gene expression insights: Chronic stress and bipolar disorder: A bioinformatics investigation[J]. Mathematical Biosciences and Engineering, 2024, 21(1): 392-414. doi: 10.3934/mbe.2024018

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Abstract

Bipolar disorder (BD) is a psychiatric disorder that affects an increasing number of people worldwide. The mechanisms of BD are unclear, but some studies have suggested that it may be related to genetic factors with high heritability. Moreover, research has shown that chronic stress can contribute to the development of major illnesses. In this paper, we used bioinformatics methods to analyze the possible mechanisms of chronic stress affecting BD through various aspects. We obtained gene expression data from postmortem brains of BD patients and healthy controls in datasets GSE12649 and GSE53987, and we identified 11 chronic stress-related genes (CSRGs) that were differentially expressed in BD. Then, we screened five biomarkers (IGFBP6, ALOX5AP, MAOA, AIF1 and TRPM3) using machine learning models. We further validated the expression and diagnostic value of the biomarkers in other datasets (GSE5388 and GSE78936) and performed functional enrichment analysis, regulatory network analysis and drug prediction based on the biomarkers. Our bioinformatics analysis revealed that chronic stress can affect the occurrence and development of BD through many aspects, including monoamine oxidase production and decomposition, neuroinflammation, ion permeability, pain perception and others. In this paper, we confirm the importance of studying the genetic influences of chronic stress on BD and other psychiatric disorders and suggested that biomarkers related to chronic stress may be potential diagnostic tools and therapeutic targets for BD.

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