Gene expression insights: Chronic stress and bipolar disorder: A bioinformatics investigation
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 t...
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| Format: | Article |
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AIMS Press
2024-01-01
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| Series: | Mathematical Biosciences and Engineering |
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| Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2024018?viewType=HTML |
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| author | Rongyanqi Wang Lan Li Man Chen Xiaojuan Li Yueyun Liu Zhe Xue Qingyu Ma Jiaxu Chen |
| author_facet | Rongyanqi Wang Lan Li Man Chen Xiaojuan Li Yueyun Liu Zhe Xue Qingyu Ma Jiaxu Chen |
| author_sort | Rongyanqi Wang |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-08T12:32:12Z |
| format | Article |
| id | doaj.art-4e3f8c88df6c4423927a257c397e56bd |
| institution | Directory Open Access Journal |
| issn | 1551-0018 |
| language | English |
| last_indexed | 2024-03-08T12:32:12Z |
| publishDate | 2024-01-01 |
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| series | Mathematical Biosciences and Engineering |
| spelling | doaj.art-4e3f8c88df6c4423927a257c397e56bd2024-01-22T01:34:40ZengAIMS PressMathematical Biosciences and Engineering1551-00182024-01-0121139241410.3934/mbe.2024018Gene expression insights: Chronic stress and bipolar disorder: A bioinformatics investigationRongyanqi Wang0Lan Li1Man Chen 2Xiaojuan Li 3Yueyun Liu4Zhe Xue5Qingyu Ma6Jiaxu Chen 71. School of Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China2. College of Basic Medicine, Hubei University of Chinese Medicine, Wuhan 430065, China2. College of Basic Medicine, Hubei University of Chinese Medicine, Wuhan 430065, China3. Guangzhou Key Laboratory of Formula-Pattern of Traditional Chinese Medicine, Formula-Pattern Research Center, School of Traditional Chinese Medicine, Jinan University, Guangzhou 510632, China1. School of Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China1. School of Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China3. Guangzhou Key Laboratory of Formula-Pattern of Traditional Chinese Medicine, Formula-Pattern Research Center, School of Traditional Chinese Medicine, Jinan University, Guangzhou 510632, China1. School of Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, ChinaBipolar 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.https://www.aimspress.com/article/doi/10.3934/mbe.2024018?viewType=HTMLbipolar disorderchronic stressgene expressionbioinformatics |
| spellingShingle | 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 Mathematical Biosciences and Engineering bipolar disorder chronic stress gene expression bioinformatics |
| title | Gene expression insights: Chronic stress and bipolar disorder: A bioinformatics investigation |
| title_full | Gene expression insights: Chronic stress and bipolar disorder: A bioinformatics investigation |
| title_fullStr | Gene expression insights: Chronic stress and bipolar disorder: A bioinformatics investigation |
| title_full_unstemmed | Gene expression insights: Chronic stress and bipolar disorder: A bioinformatics investigation |
| title_short | Gene expression insights: Chronic stress and bipolar disorder: A bioinformatics investigation |
| title_sort | gene expression insights chronic stress and bipolar disorder a bioinformatics investigation |
| topic | bipolar disorder chronic stress gene expression bioinformatics |
| url | https://www.aimspress.com/article/doi/10.3934/mbe.2024018?viewType=HTML |
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