Literature DB >> 33255474

Metabolic Alterations Related to Glioma Grading Based on Metabolomics and Lipidomics Analyses.

Di Yu1,2, Qiuhui Xuan1,2, Chaoqi Zhang3, Chunxiu Hu1, Yanli Li1, Xinjie Zhao1, Shasha Liu3, Feifei Ren3, Yi Zhang3, Lina Zhou1, Guowang Xu1.   

Abstract

Gliomas are the most aggressive phenotypes of brain tumors and are classified into four grades according to the malignancy degree by the World Health Organization. Metabolic profiling can provide an overview of metabolic reprogramming at a specific stage of tumor initiation and development. Studies about metabolic alterations related to different grades of gliomas are helpful to understand the molecular mechanism for progression of glioma. In the current study, metabolomics and lipidomics analyses based on chromatography-mass spectrometry were performed on different grades of glioma tissues. Differential metabolites between glioma and para-tumor tissues were studied and used as the basis to explore metabolic alterations related to glioma grading. It was found that short-chain acylcarnitines were elevated, whereas lysophosphatidylethanolamines (LPEs) were decreased in high-grade gliomas. Furthermore, the gene expression of short/branched-chain acyl-coenzyme dehydrogenase (ACADSB), which is involved in fatty acid oxidation, was found down-regulated with glioma progression by analyzing related genes and pathways. In addition, LPE metabolism showed a significant difference among different grades of gliomas. These important metabolic pathways related to glioma progression may provide potential clues for further study on the mechanisms and treatment of glioma.

Entities:  

Keywords:  glioma; grading; lipidomics; lysophosphatidylethanolamines; metabolomics; short-chain acylcarnitines

Year:  2020        PMID: 33255474      PMCID: PMC7760389          DOI: 10.3390/metabo10120478

Source DB:  PubMed          Journal:  Metabolites        ISSN: 2218-1989


  33 in total

Review 1.  Use of tandem mass spectrometry for multianalyte screening of dried blood specimens from newborns.

Authors:  Donald H Chace; Theodore A Kalas; Edwin W Naylor
Journal:  Clin Chem       Date:  2003-11       Impact factor: 8.327

2.  Purine synthesis promotes maintenance of brain tumor initiating cells in glioma.

Authors:  Xiuxing Wang; Kailin Yang; Qi Xie; Qiulian Wu; Stephen C Mack; Yu Shi; Leo J Y Kim; Briana C Prager; William A Flavahan; Xiaojing Liu; Meromit Singer; Christopher G Hubert; Tyler E Miller; Wenchao Zhou; Zhi Huang; Xiaoguang Fang; Aviv Regev; Mario L Suvà; Tae Hyun Hwang; Jason W Locasale; Shideng Bao; Jeremy N Rich
Journal:  Nat Neurosci       Date:  2017-03-27       Impact factor: 24.884

3.  Increased levels of plasma acylcarnitines in obesity and type 2 diabetes and identification of a marker of glucolipotoxicity.

Authors:  Stephanie J Mihalik; Bret H Goodpaster; David E Kelley; Donald H Chace; Jerry Vockley; Frederico G S Toledo; James P DeLany
Journal:  Obesity (Silver Spring)       Date:  2010-01-28       Impact factor: 5.002

Review 4.  Adult Glioblastoma.

Authors:  Brian M Alexander; Timothy F Cloughesy
Journal:  J Clin Oncol       Date:  2017-06-22       Impact factor: 44.544

Review 5.  Histologic classification of gliomas.

Authors:  Arie Perry; Pieter Wesseling
Journal:  Handb Clin Neurol       Date:  2016

6.  Integrated Metabolomics and Lipidomics Analyses Reveal Metabolic Reprogramming in Human Glioma with IDH1 Mutation.

Authors:  Lina Zhou; Zhichao Wang; Chunxiu Hu; Chaoqi Zhang; Petia Kovatcheva-Datchary; Di Yu; Shasha Liu; Feifei Ren; Xiaolin Wang; Yanli Li; Xiaoli Hou; Hailong Piao; Xin Lu; Yi Zhang; Guowang Xu
Journal:  J Proteome Res       Date:  2019-01-09       Impact factor: 4.466

7.  PiggyBac mutagenesis and exome sequencing identify genetic driver landscapes and potential therapeutic targets of EGFR-mutant gliomas.

Authors:  Imran Noorani; Jorge de la Rosa; Yoon Ha Choi; Alexander Strong; Hannes Ponstingl; M S Vijayabaskar; Jusung Lee; Eunmin Lee; Angela Richard-Londt; Mathias Friedrich; Federica Furlanetto; Rocio Fuente; Ruby Banerjee; Fengtang Yang; Frances Law; Colin Watts; Roland Rad; George Vassiliou; Jong Kyoung Kim; Thomas Santarius; Sebastian Brandner; Allan Bradley
Journal:  Genome Biol       Date:  2020-07-30       Impact factor: 13.583

8.  In vivo assessment of increased oxidation of branched-chain amino acids in glioblastoma.

Authors:  Eul Hyun Suh; Edward P Hackett; R Max Wynn; David T Chuang; Bo Zhang; Weibo Luo; A Dean Sherry; Jae Mo Park
Journal:  Sci Rep       Date:  2019-01-23       Impact factor: 4.379

9.  Prognostic power of a lipid metabolism gene panel for diffuse gliomas.

Authors:  Fan Wu; Zheng Zhao; Rui-Chao Chai; Yu-Qing Liu; Guan-Zhang Li; Hao-Yu Jiang; Tao Jiang
Journal:  J Cell Mol Med       Date:  2019-09-01       Impact factor: 5.310

Review 10.  Glutamate and α-ketoglutarate: key players in glioma metabolism.

Authors:  Andreas Maus; Godefridus J Peters
Journal:  Amino Acids       Date:  2016-10-17       Impact factor: 3.789

View more
  8 in total

1.  Decreased Expression of ACADSB Predicts Poor Prognosis in Clear Cell Renal Cell Carcinoma.

Authors:  Xianhui Liu; Weiyu Zhang; Huanrui Wang; Lin Zhu; Kexin Xu
Journal:  Front Oncol       Date:  2022-01-13       Impact factor: 6.244

2.  Profiling of Carnitine Shuttle System Intermediates in Gliomas Using Solid-Phase Microextraction (SPME).

Authors:  Joanna Bogusiewicz; Katarzyna Burlikowska; Karol Jaroch; Paulina Zofia Gorynska; Krzysztof Gorynski; Marcin Birski; Jacek Furtak; Dariusz Paczkowski; Marek Harat; Barbara Bojko
Journal:  Molecules       Date:  2021-10-10       Impact factor: 4.411

3.  Metabolic Characteristics and M2 Macrophage Infiltrates in Invasive Nonfunctioning Pituitary Adenomas.

Authors:  Kunzhe Lin; Jianping Zhang; Yinghong Lin; Zhijie Pei; Shousen Wang
Journal:  Front Endocrinol (Lausanne)       Date:  2022-07-08       Impact factor: 6.055

4.  Distinct metabolic hallmarks of WHO classified adult glioma subtypes.

Authors:  Benny Björkblom; Carl Wibom; Maria Eriksson; A Tommy Bergenheim; Rickard L Sjöberg; Pär Jonsson; Thomas Brännström; Henrik Antti; Maria Sandström; Beatrice Melin
Journal:  Neuro Oncol       Date:  2022-09-01       Impact factor: 13.029

Review 5.  Targeting the Sphingolipid Rheostat in Gliomas.

Authors:  Faris Zaibaq; Tyrone Dowdy; Mioara Larion
Journal:  Int J Mol Sci       Date:  2022-08-17       Impact factor: 6.208

Review 6.  Glioblastoma Metabolomics-In Vitro Studies.

Authors:  Karol Jaroch; Paulina Modrakowska; Barbara Bojko
Journal:  Metabolites       Date:  2021-05-13

Review 7.  Metabolomics Monitoring of Treatment Response to Brain Tumor Immunotherapy.

Authors:  Farhad Dastmalchi; Loic P Deleyrolle; Aida Karachi; Duane A Mitchell; Maryam Rahman
Journal:  Front Oncol       Date:  2021-06-03       Impact factor: 6.244

Review 8.  Fatty Acids, CD36, Thrombospondin-1, and CD47 in Glioblastoma: Together and/or Separately?

Authors:  Cristiana Tanase; Ana Maria Enciu; Elena Codrici; Ionela Daniela Popescu; Maria Dudau; Ana Maria Dobri; Sevinci Pop; Simona Mihai; Ancuța-Augustina Gheorghișan-Gălățeanu; Mihail Eugen Hinescu
Journal:  Int J Mol Sci       Date:  2022-01-06       Impact factor: 5.923

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.