Department of Psychiatry, Renmin Hospital of Wuhan University, 238 Jiefang Rd, Wuhan 430060, China.
Department of Neurology, Wuhan First Hospital, Hubei University of Chinese Medicine, Wuhan, China.
J Affect Disord. 2023 Dec 1;342:45-53. doi: 10.1016/j.jad.2023.08.127. Epub 2023 Aug 31.
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.
失眠、炎症和抑郁常常同时发生。这些疾病的发病机制尚不清楚。
我们从 GEO 数据库中收集了关于抑郁和失眠的微阵列数据集,并对差异表达基因(DEGs)进行了分析。然后,我们将 DEGs 与炎症反应相关基因列表进行重叠,以确定与这三种情况相关的基因。接下来,我们进行了富集分析、KEGG 映射和蛋白质-蛋白质相互作用分析,以识别关键基因。此外,我们建立了炎症性失眠大鼠模型,以验证潜在基因。最后,进行了双样本孟德尔随机化(MR)研究,以确认鉴定出的靶基因与抑郁结局的关联。
我们获得了 32 个与抑郁、失眠和炎症相关的常见 DEGs,并发现 PI3K-AKT 信号通路可能与失眠和抑郁中的炎症反应有关。CREB1、CYBB、FYN 和 CCR5 被确定为下一步验证的靶基因。在模型大鼠中,CCR5 和 PI3K-AKT 通路显著上调,而模型组的海马 p-CREB 蛋白表达明显降低。MR 研究表明,CREB1 与抑郁风险之间可能存在潜在的因果关系(OR=1.11,p=0.013)。
所确定的潜在基因和途径需要进一步的实验室和临床证据验证。
我们鉴定了四个潜在的炎症相关基因(CREB1、CYBB、FYN 和 CCR5)。通过随后的大鼠模型和 MR 研究验证,CREB1 可能是抑郁和失眠潜在的炎症反应相关生物标志物和药物靶点。