Literature DB >> 33662451

Metabolomics, metabolic flux analysis and cancer pharmacology.

Lingfan Liang1, Fei Sun1, Hongbo Wang2, Zeping Hu3.   

Abstract

Metabolic reprogramming is a hallmark of cancer and increasing evidence suggests that reprogrammed cell metabolism supports tumor initiation, progression, metastasis and drug resistance. Understanding metabolic dysregulation may provide therapeutic targets and facilitate drug research and development for cancer therapy. Metabolomics enables the high-throughput characterization of a large scale of small molecule metabolites in cells, tissues and biofluids, while metabolic flux analysis (MFA) tracks dynamic metabolic activities using stable isotope tracer methods. Recent advances in metabolomics and MFA technologies make them powerful tools for metabolic profiling and characterizing metabolic activities in health and disease, especially in cancer research. In this review, we introduce recent advances in metabolomics and MFA analytical technologies, and provide the first comprehensive summary of the most commonly used isotope tracing methods. In addition, we highlight how metabolomics and MFA are applied in cancer pharmacology studies particularly for discovering targetable metabolic vulnerabilities, understanding the mechanisms of drug action and drug resistance, exploring potential strategies with dietary intervention, identifying cancer biomarkers, as well as enabling precision treatment with pharmacometabolomics.
Copyright © 2021 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  cancer; drug discovery; metabolic flux; metabolomics; pharmacology

Mesh:

Year:  2021        PMID: 33662451     DOI: 10.1016/j.pharmthera.2021.107827

Source DB:  PubMed          Journal:  Pharmacol Ther        ISSN: 0163-7258            Impact factor:   12.310


  6 in total

Review 1.  Understanding Inborn Errors of Metabolism through Metabolomics.

Authors:  Karen Driesen; Peter Witters
Journal:  Metabolites       Date:  2022-04-27

2.  3,3'-Diindolylmethane Enhances Fluorouracil Sensitivity via Inhibition of Pyrimidine Metabolism in Colorectal Cancer.

Authors:  Jieping Zhang; Shaomin Zou; Yijing Zhang; Ziqing Yang; Wencong Wang; Manqi Meng; Junyan Feng; Peng Zhang; Lishi Xiao; Mong-Hong Lee; Lekun Fang
Journal:  Metabolites       Date:  2022-04-30

3.  Functional metabolome profiling may improve individual outcomes in colorectal cancer management implementing concepts of predictive, preventive, and personalized medical approach.

Authors:  Yu Yuan; Chenxin Yang; Yingzhi Wang; Mingming Sun; Chenghao Bi; Sitong Sun; Guijiang Sun; Jingpeng Hao; Lingling Li; Changliang Shan; Shuai Zhang; Yubo Li
Journal:  EPMA J       Date:  2022-01-27       Impact factor: 6.543

Review 4.  Metabolomic Fingerprinting for the Detection of Early-Stage Lung Cancer: From the Genome to the Metabolome.

Authors:  Jean-François Haince; Philippe Joubert; Horacio Bach; Rashid Ahmed Bux; Paramjit S Tappia; Bram Ramjiawan
Journal:  Int J Mol Sci       Date:  2022-01-21       Impact factor: 5.923

5.  Identification of characteristic metabolic panels for different stages of prostate cancer by 1H NMR-based metabolomics analysis.

Authors:  Xi Zhang; Binbin Xia; Hong Zheng; Jie Ning; Yinjie Zhu; Xiaoguang Shao; Binrui Liu; Baijun Dong; Hongchang Gao
Journal:  J Transl Med       Date:  2022-06-17       Impact factor: 8.440

Review 6.  13C metabolic flux analysis: Classification and characterization from the perspective of mathematical modeling and application in physiological research of neural cell.

Authors:  Birui Tian; Meifeng Chen; Lunxian Liu; Bin Rui; Zhouhui Deng; Zhengdong Zhang; Tie Shen
Journal:  Front Mol Neurosci       Date:  2022-09-08       Impact factor: 6.261

  6 in total

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