Literature DB >> 26436485

An efficient and robust fatty acid profiling method for plasma metabolomic studies by gas chromatography-mass spectrometry.

Huai-Hsuan Chiu1, Sung-Jeng Tsai1, Y Jane Tseng2, Ming-Shiang Wu3, Wei-Chih Liao3, Chiun-Sheng Huang4, Ching-Hua Kuo5.   

Abstract

BACKGROUND: Targeted metabolomic analysis of fatty acids has linked the dysregulation of fatty acids to many diseases. This study selected five frequently used fatty acid derivatization methods for comparison.
METHODS: We compared the method precisions and derivatization efficiencies, the most economical and best performing method was subjected to method validation. Twenty-four fatty acid standards were used to validate the method, which was later applied to the investigation of potential fatty acid markers of breast cancer.
RESULTS: The acetyl chloride method was demonstrated to provide the best derivatization efficiency and lowest cost for plasma samples. The ionic liquid column successfully separated positional and geometric fatty acid isomers within 26 min under the optimized conditions. Intra-day and inter-day CVs for most of the fatty acids were <10%. Over 90% of the results showed recoveries within 85%-115%. The validated method was applied to investigate potential fatty acid markers of breast cancer. The fatty acid profiling results revealed that 3 fatty acids (C22:0, C24:0, C18:2n6) were significantly lower in both pre- and post-menopausal breast cancer patients (P<0.05).
CONCLUSIONS: We demonstrated that the proposed method is an accurate, efficient and economical method for plasma metabolomic studies of fatty acids.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Breast cancer; Derivatization; Fatty acid; GC-MS; Plasma

Mesh:

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Year:  2015        PMID: 26436485     DOI: 10.1016/j.cca.2015.09.028

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


  3 in total

1.  Simultaneous quantification of free fatty acids and acylcarnitines in plasma samples using dansylhydrazine labeling and liquid chromatography-triple quadrupole mass spectrometry.

Authors:  Guan-Yuan Chen; Qibin Zhang
Journal:  Anal Bioanal Chem       Date:  2020-02-20       Impact factor: 4.478

Review 2.  On metabolic reprogramming and tumor biology: A comprehensive survey of metabolism in breast cancer.

Authors:  Judith Penkert; Tim Ripperger; Maximilian Schieck; Brigitte Schlegelberger; Doris Steinemann; Thomas Illig
Journal:  Oncotarget       Date:  2016-10-11

3.  Automated Trimethyl Sulfonium Hydroxide Derivatization Method for High-Throughput Fatty Acid Profiling by Gas Chromatography-Mass Spectrometry.

Authors:  Paul Gries; Atul Singh Rathore; Xiyuan Lu; Jennifer Chiou; Yen Bao Huynh; Alessia Lodi; Stefano Tiziani
Journal:  Molecules       Date:  2021-10-15       Impact factor: 4.927

  3 in total

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