Multiplatform metabolomics provides insight into the molecular basis of chronic kidney disease

Marta Kordalewska , Szymon Macioszek , Renata Wawrzyniak , Małgorzata Sikorska-Wiśniewska , Tomasz Śledziński , Michał Chmielewski , Adriana Mika , Michał Markuszewski

Abstract

Changes in metabolites composition can reflect currently present pathological processes in a living organism and constitute a basis for diagnosis and treatment improvements. Thus, the multiplatform metabolomics approach was applied for the investigation of molecular mechanisms of chronic kidney disease (CKD) progression. The high-performance liquid chromatography coupled with time-of-flight mass spectrometry (HPLC-TOF-MS) and gas chromatography coupled with triple quadrupole mass spectrometry (GC-QqQ/MS) serum metabolic fingerprinting followed by uni- and multivariate statistical analysis was carried out to determine metabolic pattern differentiating CKD patients and healthy controls. Furthermore, metabolites changes between stage 3 and 4 of the disease, as well as health status were investigated. The progression of the disease was found to be related to alterations in acylcarnitine, amino acid, lysophospholipid and carbohydrate metabolism. Elevated levels of serum acylcarnitines, sugar alcohols, and organic acids, as well as decreased levels of lysophospholipids, and amino acids, were found to be statistically significant for CKD progression. The obtained results confirm the utility of metabolomics approach as a tool for an explanation of molecular processes underlying CKD development.
Author Marta Kordalewska
Marta Kordalewska,,
-
, Szymon Macioszek
Szymon Macioszek,,
-
, Renata Wawrzyniak
Renata Wawrzyniak,,
-
, Małgorzata Sikorska-Wiśniewska
Małgorzata Sikorska-Wiśniewska,,
-
, Tomasz Śledziński
Tomasz Śledziński,,
-
, Michał Chmielewski
Michał Chmielewski,,
-
, Adriana Mika (FCh / DEA / LChER)
Adriana Mika,,
- Laboratory of Chemical Environmental Risks
, Michał Markuszewski
Michał Markuszewski,,
-
Journal seriesJournal of Chromatography B-Analytical Technologies in the Biomedical and Life Sciences, ISSN 1570-0232, (A 30 pkt)
Issue year2019
Vol1117
Pages49-57
Publication size in sheets0.5
Keywords in EnglishChronic kidney disease, untargeted metabolomics, LC-MS, GC-MS, potential diagnostic indicators
ASJC Classification1307 Cell Biology; 1308 Clinical Biochemistry; 1303 Biochemistry; 2700 General Medicine; 1602 Analytical Chemistry
DOIDOI:10.1016/j.jchromb.2019.04.003
URL https://doi.org/10.1016/j.jchromb.2019.04.003
Languageen angielski
Score (nominal)30
ScoreMinisterial score = 30.0, 18-07-2019, ArticleFromJournal
Ministerial score (2013-2016) = 30.0, 18-07-2019, ArticleFromJournal
Publication indicators Scopus SNIP (Source Normalised Impact per Paper): 2017 = 0.969; WoS Impact Factor: 2017 = 2.441 (2) - 2017=2.526 (5)
Citation count*
Cite
Share Share

Get link to the record


* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
Back