Network Pharmacology Reveals the Potential Mechanism of Ketamine in Improving Cognitive Impairment in Patients With Depression.

IF 2.9 Q3 PSYCHIATRY
Alpha psychiatry Pub Date : 2026-08-06 eCollection Date: 2026-08-01 DOI:10.31083/AP56752
Lei Yang, Qiuyu Zhang, Ying Zhang, Kaifang Yao, Ximing Chen, Hongjun Tian, Chuanjun Zhuo
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Abstract

Background: Ketamine may have antidepressant and anti-suicidal effects. However, the mechanism underlying ketamine-mediated improvement in cognitive impairment in patients with depression remains unclear. To improve patient cognition in depression using molecular docking and network pharmacology, we examined ketamine's key targets and identified its molecular mechanisms.

Methods: To gain target information about cognitive impairment (1983) and depression (1874), we used three databases, including Online Mendelian Inheritance in Man, GeneCards, and DisGENET. Information on ketamine targets (63) was retrieved from public databases. To locate signaling pathways and core targets, we conducted bioinformatics analysis, including an enrichment analysis and protein-protein interaction (PPI) network analysis. To assess the interaction between core targets and ketamine, we carried out molecular docking.

Results: We identified 20 ketamine target proteins of ketamine related to depression and cognitive impairment. Enrichment analyses revealed that ketamine influenced depression and cognitive function through multiple pathways, targets, and overall synergy. The important signaling pathways identified were "amphetamine addiction" and "dopaminergic synapse". Five core genes (monoamine oxidase (MAO)-A, MAO-B, glycogen synthase kinase-3β, sirtuin-1, epidermal growth factor receptor) were identified through PPI-network analyses. Our molecular docking results showed that binding was strong between these core genes and ketamine.

Conclusions: The antidepressant and cognitive-enhancing effects of ketamine are primarily mediated through targets associated with inflammation, neural signaling, tumors, and neurodegeneration, as well as pathways such as amphetamine addiction, dopaminergic synapse, and the cyclic adenosine monophosphate (cAMP) signaling pathway. The findings provide theoretical support and guidance for optimizing clinical application strategies of ketamine and for designing new drugs.

网络药理学揭示氯胺酮改善抑郁症患者认知功能障碍的潜在机制。
背景:氯胺酮可能具有抗抑郁和抗自杀作用。然而,氯胺酮介导的抑郁症患者认知障碍改善的机制尚不清楚。为了利用分子对接和网络药理学方法改善抑郁症患者的认知,我们研究了氯胺酮的关键靶点,并确定了其分子机制。方法:为了获得认知障碍(1983)和抑郁症(1874)的目标信息,我们使用了Online Mendelian Inheritance in Man、GeneCards和DisGENET三个数据库。从公共数据库检索氯胺酮目标(63个)的信息。为了定位信号通路和核心靶点,我们进行了生物信息学分析,包括富集分析和蛋白相互作用(PPI)网络分析。为了评估核心靶点与氯胺酮的相互作用,我们进行了分子对接。结果:我们鉴定了20个氯胺酮与抑郁症和认知障碍相关的靶蛋白。富集分析显示氯胺酮通过多种途径、靶点和整体协同作用影响抑郁和认知功能。确定的重要信号通路是“安非他明成瘾”和“多巴胺能突触”。通过ppi网络分析,鉴定出5个核心基因(单胺氧化酶(MAO)-A、MAO- b、糖原合成酶激酶3β、sirtuin-1、表皮生长因子受体)。我们的分子对接结果表明,这些核心基因与氯胺酮之间的结合很强。结论:氯胺酮的抗抑郁和认知增强作用主要通过炎症、神经信号、肿瘤和神经退行性变相关靶点以及安非他明成瘾、多巴胺能突触和环磷酸腺苷(cAMP)信号通路介导。研究结果为优化氯胺酮的临床应用策略和新药设计提供理论支持和指导。
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