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State-of-the-art non-targeted metabolomics in the study of chronic kidney disease

Jente Boelaert, Ruben t'Kindt, Eva Schepers, Lucie Jorge, Griet Glorieux UGent, Nathalie Neirynck UGent, Frederic Lynen UGent, Patrick Sandra UGent, Raymond Vanholder UGent and Koen Sandra (2014) METABOLOMICS. 10(3). p.425-442
abstract
Here we report a metabolomics discovery study conducted on blood serum samples of patients in different stages of chronic kidney disease (CKD). Metabolites were monitored on a quality controlled holistic platform combining reversed-phase liquid chromatography coupled to high-resolution quadrupole time-of-flight mass spectrometry in both negative and positive ionization mode and gas chromatography coupled to quadrupole mass spectrometry. A substantial portion of the serum metabolome was thereby covered. Eighty-five metabolites were shown to evolve with CKD progression of which 43 metabolites were a confirmation of earlier reported uremic retention solutes and/or uremic toxins. Thirty-one unique metabolites were revealed which were increasing significantly throughout CKD progression, by a factor surpassing the level observed for creatinine, the currently used biomarker for kidney function. Additionally, 11 unique metabolites showed a decreasing trend.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
Metabolomics, LC–MS, GC–MS, Chronic kidney disease, Q-TOF, Serum, TANDEM MASS-SPECTROMETRY, CHRONIC-RENAL-FAILURE, UREMIC TOXINS, HEMODIALYSIS-PATIENTS, SERUM METABONOMICS, METLIN DATABASE, HYALURONIC-ACID, IDENTIFICATION, PERFORMANCE, BIOMARKERS
journal title
METABOLOMICS
Metabolomics
volume
10
issue
3
pages
425 - 442
Web of Science type
Article
Web of Science id
000334509800008
JCR category
ENDOCRINOLOGY & METABOLISM
JCR impact factor
3.855 (2014)
JCR rank
41/128 (2014)
JCR quartile
2 (2014)
ISSN
1573-3882
DOI
10.1007/s11306-013-0592-z
language
English
UGent publication?
yes
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
4292283
handle
http://hdl.handle.net/1854/LU-4292283
date created
2014-02-14 14:43:59
date last changed
2016-12-19 15:43:15
@article{4292283,
  abstract     = {Here we report a metabolomics discovery study conducted on blood serum samples of patients in different stages of chronic kidney disease (CKD). Metabolites were monitored on a quality controlled holistic platform combining reversed-phase liquid chromatography coupled to high-resolution quadrupole time-of-flight mass spectrometry in both negative and positive ionization mode and gas chromatography coupled to quadrupole mass spectrometry. A substantial portion of the serum metabolome was thereby covered. Eighty-five metabolites were shown to evolve with CKD progression of which 43 metabolites were a confirmation of earlier reported uremic retention solutes and/or uremic toxins. Thirty-one unique metabolites were revealed which were increasing significantly throughout CKD progression, by a factor surpassing the level observed for creatinine, the currently used biomarker for kidney function. Additionally, 11 unique metabolites showed a decreasing trend.},
  author       = {Boelaert, Jente and t'Kindt, Ruben and Schepers, Eva and Jorge, Lucie and Glorieux, Griet and Neirynck, Nathalie and Lynen, Frederic and Sandra, Patrick and Vanholder, Raymond and Sandra, Koen},
  issn         = {1573-3882},
  journal      = {METABOLOMICS},
  keyword      = {Metabolomics,LC--MS,GC--MS,Chronic kidney disease,Q-TOF,Serum,TANDEM MASS-SPECTROMETRY,CHRONIC-RENAL-FAILURE,UREMIC TOXINS,HEMODIALYSIS-PATIENTS,SERUM METABONOMICS,METLIN DATABASE,HYALURONIC-ACID,IDENTIFICATION,PERFORMANCE,BIOMARKERS},
  language     = {eng},
  number       = {3},
  pages        = {425--442},
  title        = {State-of-the-art non-targeted metabolomics in the study of chronic kidney disease},
  url          = {http://dx.doi.org/10.1007/s11306-013-0592-z},
  volume       = {10},
  year         = {2014},
}

Chicago
Boelaert, Jente, Ruben t’ Kindt, Eva Schepers, Lucie Jorge, Griet Glorieux, Nathalie Neirynck, Frederic Lynen, Patrick Sandra, Raymond Vanholder, and Koen Sandra. 2014. “State-of-the-art Non-targeted Metabolomics in the Study of Chronic Kidney Disease.” Metabolomics 10 (3): 425–442.
APA
Boelaert, Jente, t’ Kindt, R., Schepers, E., Jorge, L., Glorieux, G., Neirynck, N., Lynen, F., et al. (2014). State-of-the-art non-targeted metabolomics in the study of chronic kidney disease. METABOLOMICS, 10(3), 425–442.
Vancouver
1.
Boelaert J, t’ Kindt R, Schepers E, Jorge L, Glorieux G, Neirynck N, et al. State-of-the-art non-targeted metabolomics in the study of chronic kidney disease. METABOLOMICS. 2014;10(3):425–42.
MLA
Boelaert, Jente, Ruben t’ Kindt, Eva Schepers, et al. “State-of-the-art Non-targeted Metabolomics in the Study of Chronic Kidney Disease.” METABOLOMICS 10.3 (2014): 425–442. Print.