Using the BITOLA system to identify candidate molecules in the interaction between oral lichen planus and depression

Using the BITOLA system to identify candidate molecules in the interaction between oral lichen planus and depression
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使用 BITOLA 系统识别口腔扁平苔藓和抑郁症之间相互作用的候选分子

DOI:
10.1016/j.bbr.2016.11.047
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发表时间:
2017-03
影响因子:
2.7
通讯作者:
Zhang Bin
Zhang Bin
中科院分区:
心理学3区
文献类型:
--
作者:
Zhan Yuanbo;Zhou Shuang;Li Ying;Mu Sen;Zhang Ruijie;Song Xuejing;Lin Feng;Zhang Ruimin;Zhang Bin

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口腔扁平苔藓(OLP)的恶化与心理应激、焦虑和抑郁有关。这种相互作用的具体机制尚不清楚。这项研究的目的是探索在口腔扁平苔藓和抑郁之间的相互作用中发挥重要作用的候选基因或分子。使用Bitola系统搜索与OLP和抑郁症相关的所有中间概念,然后使用基因表达数据和组织特异性基因数据以及手动检查来筛选中间概念。最终,有两个基因(NCAM1,神经细胞黏附分子1;CD4,CD4分子)通过了后续检测。通过使用文本挖掘可以形成一个新的假设:NCAM1和CD4被确认参与或潜在地参与了OLP和抑郁症之间的相互作用。这些结果为实验人员提供了新的线索,并有望为这两种疾病开发创新的治疗策略。
Exacerbations of oral lichen planus (OLP) have been linked to the periods of psychological stress, anxiety and depression. The specific mechanism of the interaction is unclear. The aim of this study was to explore the candidate genes or molecules that play important roles in the interaction between OLP and depression. The BITOLA system was used to search all intermediate concepts relevant to the “Gene or Gene Product” for OLP and depression, and the gene expression data and tissue-specific gene data along with manual checking were then employed to filter the intermediate concepts. Finally, two genes (NCAM1, neural cell adhesion molecule 1; CD4, CD4 molecule) passed the follow-up inspection. By using the text mining can formulate a new hypothesis: NCAM1 and CD4 were identified as involved or potentially involved in the interaction between OLP and depression. These results offer a new clue for the experimenters and hold promise for developing innovative therapeutic strategies for these two diseases.
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