杜航, 龚进, 代华, 苗欣雨, 唐蓉, 王丽萍, 岳静文, 莫婷婷, 夏茵茵. 慢性砷中毒患者头发代谢物特征的代谢组学研究[J]. 环境与职业医学, 2018, 35(2): 163-167. DOI: 10.13213/j.cnki.jeom.2018.17472
引用本文: 杜航, 龚进, 代华, 苗欣雨, 唐蓉, 王丽萍, 岳静文, 莫婷婷, 夏茵茵. 慢性砷中毒患者头发代谢物特征的代谢组学研究[J]. 环境与职业医学, 2018, 35(2): 163-167. DOI: 10.13213/j.cnki.jeom.2018.17472
DU Hang, GONG Jin, DAI Hua, MIAO Xin-yu, TANG Rong, WANG Li-ping, YUE Jing-wen, MO Ting-ting, XIA Yin-yin. Metabonomics study on metabolic profle of hair samples from chronic arsenic poisoning patients[J]. Journal of Environmental and Occupational Medicine, 2018, 35(2): 163-167. DOI: 10.13213/j.cnki.jeom.2018.17472
Citation: DU Hang, GONG Jin, DAI Hua, MIAO Xin-yu, TANG Rong, WANG Li-ping, YUE Jing-wen, MO Ting-ting, XIA Yin-yin. Metabonomics study on metabolic profle of hair samples from chronic arsenic poisoning patients[J]. Journal of Environmental and Occupational Medicine, 2018, 35(2): 163-167. DOI: 10.13213/j.cnki.jeom.2018.17472

慢性砷中毒患者头发代谢物特征的代谢组学研究

Metabonomics study on metabolic profle of hair samples from chronic arsenic poisoning patients

  • 摘要: 目的 分析和对比慢性砷中毒患者与健康对照者的头发样本,筛选差异代谢物,分析相关代谢途径,为砷毒性机制研究提供理论依据。

    方法 采用气相色谱/质谱联用法(GC/MS)和代谢组学方法,研究5名慢性砷中毒患者(观察组)和5名健康者(对照组)的头发样本的代谢物差异。利用主成分分析法(PCA)和偏最小二乘判别分析(PLS-DA)分析两组的代谢图谱差异,找出差异代谢物。

    结果 慢性砷中毒患者尿砷(1.32±0.09)μmol/L明显高于砷中毒标准(1.17 μmol/L)和对照组(0.29±0.10)μmol/L(P < 0.001)。共检出10种差异代谢物,在慢性砷中毒患者中有4种上调,6种下调。代谢通路分析筛选出4种有意义的差异代谢物,与对照组相比,在观察组中分别为苯乙醛和γ-氨基丁酸含量升高,而谷胱甘肽和丙氨酸含量降低。这4种代谢物均与机体氧化应激相关。

    结论 验证了砷的慢性毒性机制主要涉及氧化应激,同时为探索氧化应激的发生机制提供了可能的思路和线索。

     

    Abstract: Objective To compare hair samples of diagnosed chronic arsenic poisoning patients and healthy controls, screen differential metabolites, analyze related metabolic pathways, and provide a potential theoretical basis for further studies on the mechanism of arsenic toxicity.

    Methods Gas chromatography-mass spectrometry (GC/MS) and metabonomics approach were used to analyze differential metabolites in hair samples collected from five chronic arsenic poisoning patients (observation group) and five healthy controls (control group). Principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA) were conducted to analyze metabolic profile differences between the two groups.

    Results The urinary arsenic level of the observation group(1.32±0.09) μmol/L was significantly higher than the diagnostic criteria (1.17 μmol/L) and that of the control group(0.29±0.10) μmol/L (P < 0.001). Ten differential metabolites were found between the two groups, among which four metabolites were up-regulated and six metabolites were down-regulated in the observation group when comparing with the control group. Four valid metabolites were selected according to related metabolic pathway analysis of differential metabolites. Compared with the control group, benzene acetaldehyde and γ-aminobutyric acid levels were increased, while glutathione and alanine levels were decreased in the observation group. Furthermore, all the four metabolites were related to oxidative stress in vivo.

    Conclusion The present study verifies the involvement of oxidative stress in the mechanism of chronic arsenic poisoning, and provide an insight into a possible mechanism of oxidative stress.

     

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