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王敬淇, 王叶, 张艺, 梁军成, 邓艳萍, 杭太俊, 宋敏. 基于LC-QTOF-MS代谢组学研究甲基苯丙胺临床戒毒分期[J]. 中国药科大学学报, 2022, 53(3): 314-322. DOI: 10.11665/j.issn.1000-5048.20220309
引用本文: 王敬淇, 王叶, 张艺, 梁军成, 邓艳萍, 杭太俊, 宋敏. 基于LC-QTOF-MS代谢组学研究甲基苯丙胺临床戒毒分期[J]. 中国药科大学学报, 2022, 53(3): 314-322. DOI: 10.11665/j.issn.1000-5048.20220309
WANG Jingqi, WANG Ye, ZHANG Yi, LIANG Juncheng, DENG Yanping, HANG Taijun, SONG Min. Metabolomic study on clinical staging of methamphetamine detoxification by LC-QTOF-MS[J]. Journal of China Pharmaceutical University, 2022, 53(3): 314-322. DOI: 10.11665/j.issn.1000-5048.20220309
Citation: WANG Jingqi, WANG Ye, ZHANG Yi, LIANG Juncheng, DENG Yanping, HANG Taijun, SONG Min. Metabolomic study on clinical staging of methamphetamine detoxification by LC-QTOF-MS[J]. Journal of China Pharmaceutical University, 2022, 53(3): 314-322. DOI: 10.11665/j.issn.1000-5048.20220309

基于LC-QTOF-MS代谢组学研究甲基苯丙胺临床戒毒分期

Metabolomic study on clinical staging of methamphetamine detoxification by LC-QTOF-MS

  • 摘要: 甲基苯丙胺的滥用已成为全球公共卫生安全的一大隐患。为了更加科学可靠的判断甲基苯丙胺成瘾和戒毒阶段,本研究采用液相色谱-四极杆-飞行时间串联质谱(LC-QTOF-MS)分析技术,对甲基苯丙胺成瘾者、戒毒康复者和健康人的血浆、血清和尿中的内源性代谢物进行分析。运用单变量和多变量统计分析处理数据,筛选符合条件的潜在生物标志物,将鉴定后的生物标志物进行代谢物富集分析,寻找代谢物与代谢途径之间的联系。多变量统计结果表明,甲基苯丙胺急性期组、康复期组和健康组3组聚类分离明显;在血清、血浆和尿液中分别鉴定出3,18和6个差异代谢物,提示甲基苯丙胺急性期组脂质代谢异常,康复期组脂肪酸代谢、硫酸盐/亚硫酸盐代谢和性激素代谢异常。本研究筛选出的潜在生物标志物,为甲基苯丙胺临床戒毒分期提供科学依据。

     

    Abstract: At present , methamphetamine has become a major hidden danger in global public health safety. In order to judge methamphetamine addicts and methamphetamine abstainers more scientifically and reliably, this study analyzed the endogenous metabolites in plasma, serum and urine of methamphetamine addicts, methamphetamine abstainers and healthy volunteers by highly sensitive high-throughput liquid chromatography quadrupole time-of-flight mass spectrometry (LC-QTOF-MS) analytical instrument. The obtained metabolomic data were processed by univariate analysis (t-test) and multivariate analysis (PLS-DA and OPLS-DA) and eligible potential biomarkers were then screened.The identified biomarkers set enrichment analysis to find the connection between metabolites and metabolic pathways.Multivariate statistical results showed that methamphetamine acute group, recovery group and healthy group were clearly separated.3, 18 and 6 regulated metabolites were identified in serum, plasma and urine, respectively, suggesting that lipid metabolism was abnormal in methamphetamine acute group, and that fatty acid metabolism, sulfate/sulfite metabolism and sex hormone metabolism were abnormal in methamphetamine recovery group.The selected potential biomarkers in this study provide the possibility for scientific judgment of the clinical stage of methamphetamine detoxification.

     

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