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J Chromatogr B Analyt Technol Biomed Life Sci. 2017 Sep 15;1063:156-162. doi: 10.1016/j.jchromb.2017.08.039. Epub 2017 Aug 30.

Metabolomic study for monitoring of biomarkers in mouse plasma with asthma by gas chromatography-mass spectrometry.

Author information

1
College of Pharmacy and Research Institute of Life and Pharmaceutical Sciences, Sunchon National University, Suncheon, Republic of Korea.
2
Department of Physiology and Department of Biomedical Sciences, Ajou University School of Medicine, Suwon, Republic of Korea; Department of Molecular Science and Technology, Ajou University, Suwon, Republic of Korea.
3
Department of Physiology and Department of Biomedical Sciences, Ajou University School of Medicine, Suwon, Republic of Korea.
4
College of Pharmacy and Research Institute of Life and Pharmaceutical Sciences, Sunchon National University, Suncheon, Republic of Korea. Electronic address: sungtae@sunchon.ac.kr.
5
College of Pharmacy and Research Institute of Life and Pharmaceutical Sciences, Sunchon National University, Suncheon, Republic of Korea. Electronic address: parkak11@sunchon.ac.kr.
6
College of Pharmacy and Research Institute of Life and Pharmaceutical Sciences, Sunchon National University, Suncheon, Republic of Korea. Electronic address: paik815@sunchon.ac.kr.

Abstract

Asthma is a multifaceted chronic disease caused by an alteration of various genetic and environmental factors that is increasing in incidence worldwide. However, the biochemical mechanisms regarding asthma are not completely understood. Thus, we performed of metabolomic study for understanding of the biochemical events by monitoring of altered metabolism and biomarkers in asthma. In mice plasma, 27 amino acids(AAs), 24 fatty acids(FAs) and 17 organic acids(OAs) were determined by ethoxycarbonyl(EOC)/methoxime(MO)/tert-butyldimethylsilyl(TBDMS) derivatives with GC-MS. Their percentage composition normalized to the corresponding mean levels of control group. They then plotted as star symbol patterns for visual monitoring of altered metabolism, which were characteristic and readily distinguishable in control and asthma groups. The Mann-Whitney test revealed 25 metabolites, including eight AAs, nine FAs and eight OAs, which were significantly different (p<0.05), and orthogonal partial least-squares-discriminant analysis revealed a clear separation of the two groups. In classification analysis, palmitic acid and methionine were the main metabolites for discrimination between asthma and the control followed by pipecolic, lactic, α-ketoglutaric, and linoleic acids for high classification accuracy as potential biomarkers. These explain the metabolic disturbance in asthma for AAs and FAs including intermediate OAs related to the energy metabolism in the TCA cycle.

KEYWORDS:

Asthma; Gas chromatography–mass spectrometry; Metabolomics; Profiling analysis; Star graphic pattern analysis

PMID:
28865332
DOI:
10.1016/j.jchromb.2017.08.039
[Indexed for MEDLINE]

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