Yang Lu, Xiong Hao, Li Xin, Li Yu, Zhou Huanhuan, Lin Xiao, Chan Ting Fung, Li Rong, Lai Keng Po, Chen Xu
Laboratory of Environmental Pollution and Integrative Omics, Guilin Medical University, Guilin, China.
Guilin Center for Disease Control and Prevention, Guilin, China.
Front Nutr. 2022 Apr 19;9:870370. doi: 10.3389/fnut.2022.870370. eCollection 2022.
The coronavirus disease 2019 (COVID-19) pandemic has led to 4,255,892 deaths worldwide. Although COVID-19 vaccines are available, mutant forms of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have reduced the effectiveness of vaccines. Patients with cancer are more vulnerable to COVID-19 than patients without cancer. Identification of new drugs to treat COVID-19 could reduce mortality rate, and traditional Chinese Medicine(TCM) has shown potential in COVID-19 treatment. In this study, we focused on lung adenocarcinoma (LUAD) patients with COVID-19. We aimed to investigate the use of curcumol, a TCM, to treat LUAD patients with COVID-19, using network pharmacology and systematic bioinformatics analysis. The results showed that LUAD and patients with COVID-19 share a cluster of common deregulated targets. The network pharmacology analysis identified seven core targets (namely, AURKA, CDK1, CCNB1, CCNB2, CCNE1, CCNE2, and TTK) of curcumol in patients with COVID-19 and LUAD. Clinicopathological analysis of these targets demonstrated that the expression of these targets is associated with poor patient survival rates. The bioinformatics analysis further highlighted the involvement of this target cluster in DNA damage response, chromosome stability, and pathogenesis of LUAD. More importantly, these targets influence cell-signaling associated with the Warburg effect, which supports SARS-CoV-2 replication and inflammatory response. Comparative transcriptomic analysis on LUAD cell further validated the effect of curcumol for treating LUAD through the control of cell cycle and DNA damage response. This study supports the earlier findings that curcumol is a potential treatment for patients with LUAD and COVID-19.
2019年冠状病毒病(COVID-19)大流行已导致全球4255892人死亡。尽管有COVID-19疫苗,但严重急性呼吸综合征冠状病毒2(SARS-CoV-2)的突变形式降低了疫苗的有效性。癌症患者比非癌症患者更容易感染COVID-19。识别治疗COVID-19的新药可以降低死亡率,而传统中药(TCM)在COVID-19治疗中已显示出潜力。在本研究中,我们聚焦于患有COVID-19的肺腺癌(LUAD)患者。我们旨在通过网络药理学和系统生物信息学分析,研究中药莪术醇用于治疗患有COVID-19的LUAD患者的情况。结果表明,LUAD和COVID-19患者存在一组共同的失调靶点。网络药理学分析确定了莪术醇在COVID-19和LUAD患者中的七个核心靶点(即AURKA、CDK1、CCNB1、CCNB2、CCNE1、CCNE2和TTK)。对这些靶点的临床病理分析表明,这些靶点的表达与患者较差的生存率相关。生物信息学分析进一步强调了该靶点簇参与DNA损伤反应、染色体稳定性和LUAD的发病机制。更重要的是,这些靶点影响与瓦伯格效应相关的细胞信号传导,而瓦伯格效应支持SARS-CoV-2复制和炎症反应。对LUAD细胞的比较转录组分析进一步验证了莪术醇通过控制细胞周期和DNA损伤反应来治疗LUAD的效果。本研究支持了早期的发现,即莪术醇是治疗LUAD和COVID-19患者的一种潜在药物。