Literature DB >> 24909874

Biomarker identification and pathway analysis by serum metabolomics of childhood acute lymphoblastic leukemia.

Yunnuo Bai1, Haitao Zhang1, Xiaohan Sun1, Changhao Sun2, Lihong Ren3.   

Abstract

BACKGROUND: Acute lymphoblastic leukemia (ALL) is a common hematological malignant neoplasm that typically affects children. Although intense chemotherapeutic regimens have been useful to combat the disease, approximately 20% of patients will relapse despite treatment. Diagnosing ALL requires bone marrow puncture procedure, which many parents do not consent to for it is invasive. Additionally, metabolic alterations associated with the disease are unclear.
METHODS: Metabolic alterations associated with ALL were investigated by performing serum metabolomics based on ultra-performance liquid chromatography coupled with quadrupole time-of-flight tandem mass spectrometry and multivariate statistical analysis. Ingenuity Pathways Analysis (IPA) was also performed.
RESULTS: Thirty metabolites (17 detected in positive mode and 13 in negative mode) were differentially expressed between patients with ALL and control patients; these metabolites were selected as potential biomarkers. Based on IPA analysis, glycerophospholipid metabolism is deregulated in patients with ALL and may represent an underlying metabolic pathway associated with disease progression.
CONCLUSIONS: Metabolomics can be used to analyze the metabolic activity of ALL patients compared to healthy controls. The data we provide here suggest that glycerophospholipid metabolism may be a key mechanism underlying disease progression and development.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Acute lymphoblastic leukemia; Biomarkers; Metabolomics; Pathway analysis; UPLC/Q-TOF

Mesh:

Substances:

Year:  2014        PMID: 24909874     DOI: 10.1016/j.cca.2014.05.022

Source DB:  PubMed          Journal:  Clin Chim Acta        ISSN: 0009-8981            Impact factor:   3.786


  14 in total

Review 1.  Metabolomic signature of brain cancer.

Authors:  Renu Pandey; Laura Caflisch; Alessia Lodi; Andrew J Brenner; Stefano Tiziani
Journal:  Mol Carcinog       Date:  2017-07-17       Impact factor: 4.784

2.  Metabolomic discovery of novel urinary galabiosylceramide analogs as Fabry disease biomarkers.

Authors:  Michel Boutin; Christiane Auray-Blais
Journal:  J Am Soc Mass Spectrom       Date:  2015-01-13       Impact factor: 3.109

3.  Metabolomics of neonatal blood spots reveal distinct phenotypes of pediatric acute lymphoblastic leukemia and potential effects of early-life nutrition.

Authors:  Lauren M Petrick; Courtney Schiffman; William M B Edmands; Yukiko Yano; Kelsi Perttula; Todd Whitehead; Catherine Metayer; Craig E Wheelock; Manish Arora; Hasmik Grigoryan; Henrik Carlsson; Sandrine Dudoit; Stephen M Rappaport
Journal:  Cancer Lett       Date:  2019-03-20       Impact factor: 8.679

4.  Lipidomic analysis reveals disturbances in glycerophospholipid and sphingolipid metabolic pathways in benzene-exposed mice.

Authors:  Linling Yu; Rongli Sun; Kai Xu; Yunqiu Pu; Jiawei Huang; Manman Liu; Minjian Chen; Juan Zhang; Lihong Yin; Yuepu Pu
Journal:  Toxicol Res (Camb)       Date:  2021-06-15       Impact factor: 2.680

5.  Serum Metabolomics Coupling With Clinical Laboratory Indicators Reveal Taxonomic Features of Leukemia.

Authors:  Hao- Xiong; Hui-Tao Zhang; Hong-Wen Xiao; Chun-Lan Huang; Mei-Zhou Huang
Journal:  Front Pharmacol       Date:  2022-05-26       Impact factor: 5.988

6.  Serum peptidome based biomarkers searching for monitoring minimal residual disease in adult acute lymphocytic leukemia.

Authors:  Ju Bai; Aili He; Chen Huang; Juan Yang; Wanggang Zhang; Jianli Wang; Yun Yang; Pengyu Zhang; Yang Zhang; Fuling Zhou
Journal:  Proteome Sci       Date:  2014-09-16       Impact factor: 2.480

7.  In Vitro Analysis of Metabolites Secreted during Infection of Lung Epithelial Cells by Cryptococcus neoformans.

Authors:  Kah Leong Liew; Jap Meng Jee; Ivan Yap; Phelim Voon Chen Yong
Journal:  PLoS One       Date:  2016-04-07       Impact factor: 3.240

8.  Serum metabonomics of acute leukemia using nuclear magnetic resonance spectroscopy.

Authors:  Syed Ghulam Musharraf; Amna Jabbar Siddiqui; Tahir Shamsi; M Iqbal Choudhary; Atta-Ur Rahman
Journal:  Sci Rep       Date:  2016-08-02       Impact factor: 4.379

9.  Schizochytrium limacinum Supplementation in a Low Fish-Meal Diet Improved Immune Response and Intestinal Health of Juvenile Penaeus monodon.

Authors:  Shiwei Xie; Dan Wei; Beiping Tan; Yongjian Liu; Lixia Tian; Jin Niu
Journal:  Front Physiol       Date:  2020-06-30       Impact factor: 4.566

10.  Distinct Metabolic features differentiating FLT3-ITD AML from FLT3-WT childhood Acute Myeloid Leukemia.

Authors:  Bradley Stockard; Timothy Garrett; Joy Guingab-Cagmat; Soheil Meshinchi; Jatinder Lamba
Journal:  Sci Rep       Date:  2018-04-03       Impact factor: 4.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.