用生物信息学和系统生物学方法确定神经性疼痛与重度抑郁症的发病联系。

IF 2.8 4区 医学 Q2 MEDICINE, RESEARCH & EXPERIMENTAL Experimental Biology and Medicine Pub Date : 2024-06-27 eCollection Date: 2024-01-01 DOI:10.3389/ebm.2024.10129
Jinjing Hu, Jia Fu, Yuxin Cai, Shuping Chen, Mengjian Qu, Lisha Zhang, Weichao Fan, Ziyi Wang, Qing Zeng, Jihua Zou
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引用次数: 0

摘要

神经性疼痛(NP)总是伴有抑郁症状,严重影响身心健康。在这项研究中,我们确定了神经痛和重度抑郁症(MDD)的共同枢纽基因(Co-hub genes)和相关免疫细胞,以确定它们是否有共同的病理和分子机制。研究人员从基因表达总库(GEO)中下载了NP和MDD的表达数据。提取了 NP 和 MDD 的共同差异表达基因(Co-DEGs),并挖掘了中心基因和中心节点。对共差异表达基因、中心基因和中心节点进行了基因本体(GO)和京都基因组百科全书(KEGG)富集分析。最后,对中枢节点和基因进行分析,得出共中枢基因。我们绘制了接收者操作特征曲线(ROC),以评估共枢纽基因对 MDD 和 NP 的诊断影响。我们还通过ssGSEA确定了免疫浸润细胞成分,并分析了两者之间的关系。在 GO 和 KEGG 富集分析中,93 个 Co-DEG 与生物过程(BP)(如纤维蛋白溶解)、细胞组成(CC)(如三级颗粒)以及通路(如补体和凝血级联)有关。差异基因表达分析显示,共枢纽基因 ANGPT2、MMP9、PLAU 和 TIMP2 之间存在显著差异。根据 ANGPT2 和 MMP9 的表达诊断 NP 有一定的准确性。对免疫细胞成分差异的分析表明,两组中都存在大量活化树突状细胞、效应记忆 CD8+ T 细胞、记忆 B 细胞和调节性 T 细胞,这些差异具有统计学意义。总之,我们发现了与 NP 和 MDD 相关的 6 个 Co-hub 基因和 4 种免疫细胞类型。要确定这些基因和免疫细胞在 NP 和 MDD 中作为潜在诊断标记或治疗靶点的作用,还需要进一步的研究。
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Bioinformatics and systems biology approach to identify the pathogenetic link of neurological pain and major depressive disorder.

Neurological pain (NP) is always accompanied by symptoms of depression, which seriously affects physical and mental health. In this study, we identified the common hub genes (Co-hub genes) and related immune cells of NP and major depressive disorder (MDD) to determine whether they have common pathological and molecular mechanisms. NP and MDD expression data was downloaded from the Gene Expression Omnibus (GEO) database. Common differentially expressed genes (Co-DEGs) for NP and MDD were extracted and the hub genes and hub nodes were mined. Co-DEGs, hub genes, and hub nodes were analyzed for Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment. Finally, the hub nodes, and genes were analyzed to obtain Co-hub genes. We plotted Receiver operating characteristic (ROC) curves to evaluate the diagnostic impact of the Co-hub genes on MDD and NP. We also identified the immune-infiltrating cell component by ssGSEA and analyzed the relationship. For the GO and KEGG enrichment analyses, 93 Co-DEGs were associated with biological processes (BP), such as fibrinolysis, cell composition (CC), such as tertiary granules, and pathways, such as complement, and coagulation cascades. A differential gene expression analysis revealed significant differences between the Co-hub genes ANGPT2, MMP9, PLAU, and TIMP2. There was some accuracy in the diagnosis of NP based on the expression of ANGPT2 and MMP9. Analysis of differences in the immune cell components indicated an abundance of activated dendritic cells, effector memory CD8+ T cells, memory B cells, and regulatory T cells in both groups, which were statistically significant. In summary, we identified 6 Co-hub genes and 4 immune cell types related to NP and MDD. Further studies are needed to determine the role of these genes and immune cells as potential diagnostic markers or therapeutic targets in NP and MDD.

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来源期刊
Experimental Biology and Medicine
Experimental Biology and Medicine 医学-医学:研究与实验
CiteScore
6.00
自引率
0.00%
发文量
157
审稿时长
1 months
期刊介绍: Experimental Biology and Medicine (EBM) is a global, peer-reviewed journal dedicated to the publication of multidisciplinary and interdisciplinary research in the biomedical sciences. EBM provides both research and review articles as well as meeting symposia and brief communications. Articles in EBM represent cutting edge research at the overlapping junctions of the biological, physical and engineering sciences that impact upon the health and welfare of the world''s population. Topics covered in EBM include: Anatomy/Pathology; Biochemistry and Molecular Biology; Bioimaging; Biomedical Engineering; Bionanoscience; Cell and Developmental Biology; Endocrinology and Nutrition; Environmental Health/Biomarkers/Precision Medicine; Genomics, Proteomics, and Bioinformatics; Immunology/Microbiology/Virology; Mechanisms of Aging; Neuroscience; Pharmacology and Toxicology; Physiology; Stem Cell Biology; Structural Biology; Systems Biology and Microphysiological Systems; and Translational Research.
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