干草堆
失眠症
萧条(经济学)
炎症
重性抑郁障碍
生物信息学
生物
医学
精神科
内科学
心理学
心情
计算机科学
万维网
宏观经济学
经济
作者
Junhua Mei,Ying Wang,Xinhua Song,Xin‐hui Xie,Guan Wang,Chao Chen,Guohua Chen,Zhongchun Liu
标识
DOI:10.1016/j.jad.2023.08.127
摘要
Insomnia, inflammation, and depression are often co-occurring conditions. The mechanisms underlying these conditions remain unclear. We collected microarray datasets of depression and insomnia from GEO and analyzed them for differentially expressed genes (DEGs). We then overlapped the DEGs with a list of inflammatory response-related genes to identify genes associated with all three conditions. We next performed analyses of enrichment analyses, KEGG mapping, and protein-protein interaction to identify hub genes. Furthermore, we established a depression rat model with inflammation and insomnia to validate the potential genes. At last, a two-sample Mendelian randomization (MR) study was conducted to confirm the association of identified target genes with depression outcomes. We obtained 32 common DEGs associated with the depression, insomnia and inflammatory, and found that the PI3K-AKT signaling pathway might be involved in the inflammatory response in insomnia and depression. CREB1, CYBB, FYN, and CCR5 were identified as targets for the next validation. In model rats, the CCR5 and PI3K-AKT pathways were significantly up-regulated, while the model group exhibited significantly lower hippocampal p-CREB protein expression. The MR study suggested a potential causal relationship between CREB1 and the risk of depression (OR = 1.11, p = 0.013). The identified potential genes and pathways require further laboratory and clinical evidence verification. We identified four potential inflammatory related-genes (CREB1, CYBB, FYN, and CCR5). CREB1 may be a potential inflammatory response-related biomarker and drug target for depression and insomnia, as validated by the followed rat model and MR study.
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