Shi Jiyuan, Wu Qianyi, Sang Mengmeng, Mao Liming
Department of Immunology, School of Medicine, Nantong University, 19 Qixiu Road, Nantong 226001, China.
Basic Medical Research Center, School of Medicine, Nantong University, Nantong 226019, China.
Genes (Basel). 2025 Mar 14;16(3):339. doi: 10.3390/genes16030339.
The prevalence of major depressive disorder (MDD) among patients with inflammatory bowel disease (IBD) is significantly higher compared to the general population, suggesting a potential link between their pathogeneses. Cuproptosis, defined as cell death caused by intracellular copper accumulation, has not been thoroughly investigated in the context of IBD and MDD. This study aims to uncover the molecular mechanisms of cuproptosis-related genes (CRGs) in both conditions and to explore novel therapeutic strategies by the modulation of CRGs.
In this study, we identified differentially expressed CRGs between normal and disease samples. We calculated the correlation among CRGs and between CRGs and immune cell infiltrations across various tissues. Four machine learning algorithms were employed to identify key CRGs associated with IBD and MDD. Additionally, drug sensitivity, molecular docking, and molecular dynamics simulations were conducted to predict therapeutic drugs for IBD and MDD.
We identified , , , , and as common DE-CRGs, and , , , , and as key CRGs associated with both IBD and MDD. Consequently, was recognized as a shared biomarker in both diseases. A total of 37 potential therapeutic drugs were identified for IBD and MDD. Based on the molecular docking and molecular dynamics simulation analyses, barasertib and NTP-TAE684, which target DLAT, were predicted to be the most effective compounds.
These findings have substantially enhanced our understanding of the similarities and differences in the regulatory mechanisms of CRGs within brain-gut axis diseases. Key biomarkers have been identified, and potential therapeutic drugs have been predicted to effectively target IBD and MDD.
与普通人群相比,炎症性肠病(IBD)患者中重度抑郁症(MDD)的患病率显著更高,这表明它们的发病机制之间可能存在联系。铜死亡定义为细胞内铜积累导致的细胞死亡,尚未在IBD和MDD的背景下进行深入研究。本研究旨在揭示这两种疾病中铜死亡相关基因(CRGs)的分子机制,并通过调节CRGs探索新的治疗策略。
在本研究中,我们鉴定了正常样本和疾病样本之间差异表达的CRGs。我们计算了CRGs之间以及CRGs与各种组织中免疫细胞浸润之间的相关性。采用四种机器学习算法来识别与IBD和MDD相关的关键CRGs。此外,还进行了药物敏感性、分子对接和分子动力学模拟,以预测IBD和MDD的治疗药物。
我们确定了 、 、 、 、 作为常见的差异表达CRGs,以及 、 、 、 、 作为与IBD和MDD均相关的关键CRGs。因此, 在这两种疾病中均被认为是一个共同的生物标志物。共鉴定出37种IBD和MDD的潜在治疗药物。基于分子对接和分子动力学模拟分析,靶向DLAT的巴瑞替尼和NTP-TAE684被预测为最有效的化合物。
这些发现极大地增强了我们对脑-肠轴疾病中CRGs调控机制异同的理解。已确定关键生物标志物,并预测了潜在的治疗药物可有效靶向IBD和MDD。