Suitability of selected chromatographic columns for analysis of fatty acids in dialyzed patients
Magdalena Pazda , Piotr Stepnowski , Tomasz Śledziński , Michał Chmielewski , Adriana Mika
AbstractGas chromatography–mass spectrometry is a preferred method for fatty acid (FA) analysis in biofluids from patients with metabolic diseases. Complex characteristics of FAs make their analysis particularly challenging. Selection of an appropriate chromatographic column is particularlyimportant component of the process as it provides optimal separation and detection of possibly all FAs present in the sample. However, no accurate protocol for comparative evaluation of capillary columns for the analysis of whole serum FA profile in patients with chronic kidney disease(CKD) has been developed thus far. Therefore, in the present study four columns were examined to select the one providing optimal separation and determination of FA profiles in this group of patients. Moreover, serum FA profiles obtained with the selected column in CKD patients subjected to peritoneal dialysis and healthy controls were compared. Thirty‐seven component FAME Mix and sera from CKD patients were used to optimize chromatographic conditions and to select the most appropriate column. The ZB‐5 column turned out to be the most appropriate for the analysis of whole FA profile in CKD patients' sera. Then, this column was used to compare FAprofiles in patients subjected to peritoneal dialysis and in healthy controls. The analysis demon-strated many abnormalities in the FA profile of CKD patients. Further studies involving larger groups of patients presenting with other stages of CKD are required to explain the impact ofthe disease progression on composition of serum FAs.
|Other language title versions|
|Journal series||Biomedical Chromatography, ISSN 0269-3879|
|Publication size in sheets||0.5|
|Keywords in English||chromatographic column, chronic kidney disease, fatty acid, gas chromatography-mass spectrometry, peritoneal dialysis|
|Score|| = 20.0, 20-12-2017, ArticleFromJournal|
= 20.0, 20-12-2017, ArticleFromJournal
|Publication indicators||: 2016 = 1.613 (2) - 2016=1.612 (5)|
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