Literature DB >> 35171681

High-throughput glycolytic inhibitor discovery targeting glioblastoma by graphite dots-assisted LDI mass spectrometry.

Rui Shi1, Peichen Pan2,3,4, Rui Lv1, Chongqing Ma1, Enhui Wu1, Ruochen Guo1, Zhihao Zhao1, Hexing Song5, Joe Zhou5, Yang Liu1, Guoqiang Xu6, Tingjun Hou2, Zhenhui Kang1,7, Jian Liu1.   

Abstract

Malignant tumors will become vulnerable if their uncontrolled biosynthesis and energy consumption engaged in metabolic reprogramming can be cut off. Here, we report finding a glycolytic inhibitor targeting glioblastoma with graphite dots-assisted laser desorption/ionization mass spectrometry as an integrated drug screening and pharmacokinetic platform (GLMSD). We have performed high-throughput virtual screening to narrow an initial library of 240,000 compounds down to the docking of 40 compounds and identified five previously unknown chemical scaffolds as promising hexokinase-2 inhibitors. The best inhibitor (Compd 27) can regulate the reprogrammed metabolic pathway in U87 glioma cells (median inhibitory concentration ~ 11.3 μM) for tumor suppression. Highly effective therapy against glioblastoma has been demonstrated in both subcutaneous and orthotopic brain tumors by synergizing Compd 27 and temozolomide. Our glycolytic inhibitor discovery can inspire personalized medicine targeting reprogrammed metabolisms of malignant tumors. GLMSD enables large, high-quality data for next-generation artificial intelligence-aided drug development.

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Year:  2022        PMID: 35171681     DOI: 10.1126/sciadv.abl4923

Source DB:  PubMed          Journal:  Sci Adv        ISSN: 2375-2548            Impact factor:   14.136


  1 in total

Review 1.  Metabolic Rewiring in Glioblastoma Cancer: EGFR, IDH and Beyond.

Authors:  Abdellatif El Khayari; Najat Bouchmaa; Bouchra Taib; Zhiyun Wei; Ailiang Zeng; Rachid El Fatimy
Journal:  Front Oncol       Date:  2022-07-14       Impact factor: 5.738

  1 in total

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