Citation: SHI Chun-Zhen, MAO Xu, HAN Xi, FAN Chong, JIN Meng. Gas Chromatography-Mass Spectrometry Analysis of Metabolic Profiling of Lung Tissues of Mice after Instillation of Fine Particulate Matter[J]. Chinese Journal of Analytical Chemistry, ;2017, 45(8): 1116-1122. doi: 10.11895/j.issn.0253-3820.170306 shu

Gas Chromatography-Mass Spectrometry Analysis of Metabolic Profiling of Lung Tissues of Mice after Instillation of Fine Particulate Matter

SHI Chun-Zhen ^1,2, ,
MAO Xu ¹ ,
HAN Xi ¹ ,
FAN Chong ¹ ,
JIN Meng ¹

1.
College of Food, Beijing Technology and Business University, Beijing 100048, China;2 The Engineering& Technology Research Center of Food Additives in Beijing, Beijing 100048, China

Received Date: 14 May 2017
Revised Date: 6 June 2017

Fund Project: This work was supported by the National Natural Science Foundation of China (No.21407006).

A method based on gas chromatography-mass spectrometry (GC-MS) was established to analyze the changes of intracellular metabolites and study the toxic mechanisms of different concentrations of particulate matter (PM_2.5) effecting the lung tissues in mice. Nasal drip experiments of PM_2.5 suspensions (0, 7.5, 20.0, 37.5 g/L) for mice were carried out, and the intracellular metabolites in lung tissues were extracted, pretreated and analyzed. Principal component analysis (PCA) and partial least-squares discriminant analysis (PLS-DA) were employed for pattern recognition, and an obvious distinction among different conditions was found. According to the PLS-DA loading diagram and variable important factor (VIP) value, 7 kinds of potential biomarkers, alanine, valine, leucine, ornithine, fumaric acid, citric acid and purine (p<0.01), were determined with significant differences between four different concentrations of PM_2.5. Metabolic pathway analysis indicated that the oxidative stress reactions were enhanced, and the TCA cycle and the purine metabolism in lung cells were restrained after dripping PM_2.5 to the lung tissues in mice. This study could provide a new perspective and theoretical basis for the further analysis on toxic mechanisms by PM_2.5.
- Particulate matter,
- Metabolic profiling,
- Principal component analysis,
- Toxic mechanism
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