中枢基因在神经性疼痛诱导的抑郁症中的鉴定

IF 2.4 3区生物学 Q3 BIOCHEMICAL RESEARCH METHODS

Current Bioinformatics Pub Date : 2023-06-14 DOI:10.2174/1574893618666230614093416

Ying Zhang, Qing Liu, Chun-Yan Cui, Ming-Han Liu, Jian Mou, Si-Jing Liao, Yan Liu, Qun Li, Haihua Yang, Ying-Bo Ren, Yue Huang, Run Li

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引用次数: 0

摘要

大量临床数据和动物模型表明，许多神经性疼痛患者伴有抑郁症状。来自生物学实验的大量证据已经证实，内侧前额叶皮层（mPFC）、前额叶皮层、海马体和其他大脑区域在神经性疼痛和抑郁的共同发病中发挥着重要作用，但神经性疼痛诱导抑郁的机制尚不清楚。在这项研究中，我们挖掘了现有的高通量测序数据数据库，旨在识别神经性疼痛诱导的抑郁症过程中的差异表达基因（DEG）。本研究对神经性疼痛诱发抑郁症的机制进行了初步探索，并为其治疗和预防提供了可靠的证据。

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Identification of hub genes in neuropathic pain-induced depression

Numerous clinical data and animal models demonstrate that many patients with neuropathic pain suffer from concomitant depressive symptoms. Massive evidence from biological experiments has verified that the medial prefrontal cortex (mPFC), prefrontal cortex, hippocampus, and other brain regions play an influential role in the co-morbidity of neuropathic pain and depression, but the mechanism by which neuropathic pain induces depression remains unclear. In this study, we mined existing publicly available databases of high-throughput sequencing data intending to identify the differentially expressed genes (DEGs) in the process of neuropathic pain-induced depression. This study provides a rudimentary exploration of the mechanism of neuropathic pain-induced depression and provides credible evidence for its management and precaution.

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来源期刊

Current Bioinformatics 生物-生化研究方法

CiteScore

6.60

自引率

2.50%

发文量

审稿时长

>12 weeks

期刊介绍： Current Bioinformatics aims to publish all the latest and outstanding developments in bioinformatics. Each issue contains a series of timely, in-depth/mini-reviews, research papers and guest edited thematic issues written by leaders in the field, covering a wide range of the integration of biology with computer and information science. The journal focuses on advances in computational molecular/structural biology, encompassing areas such as computing in biomedicine and genomics, computational proteomics and systems biology, and metabolic pathway engineering. Developments in these fields have direct implications on key issues related to health care, medicine, genetic disorders, development of agricultural products, renewable energy, environmental protection, etc.