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

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• 作者：Yuanbo Zhan^a ; ¹ ; Shuang Zhou^a ; ¹ ; Ying Li^a ; ¹ ; Sen Mu^a ; ¹ ; Ruijie Zhang^b ; Xuejing Song^c ; Feng Lin^a ; Ruimin Zhang^d ; ^{yzzhangrm@126.com} ; Bin Zhang^a ; ^e ; ^{zhangbinyzz@126.com}
• 关键词：Mouth diseases ; Mental disorders ; Text mining ; Gene expression profiling
• 刊名：Behavioural Brain Research
• 出版年：2017
• 出版时间：1 March 2017
• 年：2017
• 卷：320
• 期：Complete
• 页码：136-142
• 全文大小：2119 K
• 卷排序：320

文摘

NCAM1 and CD4 were differently expressed in both oral lichen planus and depression patients when compared to controls. The expressions of NCAM1 and CD4 were observed both in oral and brain. NCAM1 and CD4 was identified as involved or potentially involved in the interaction between OLP and depression. Using the text mining can offer a new clue for the experimenters and for developing innovative therapeutic strategies.