妊娠期糖尿病孕妇血清和头发的代谢组学鉴定

Identification of metabolomics profiling in maternal urine and hair for gestational diabetes mellitus

目的:研究妊娠期糖尿病(gestational diabetes mellitus,GDM)孕妇的血清和头发的代谢物,并探索GDM的潜在生物标记。方法:49个GDM孕妇纳入病例组和44个孕妇作为对照组,招募于妊娠26～28周。运用气相色谱-质谱联用仪和液相色谱-质谱联用仪来检测孕妇血液及头发标本代谢物。结果:在血清中鉴定出747种代谢物,在头发中鉴定出545种代谢物,其中分别有23种和31种代谢物在GDM组和对照组之间有统计学差异,Amphibine H(P=0.001)、油酰乙醇胺(N-Oleoylethanolamine,P=0.005)、3,4-Methylenepimelic acid(P=0.043)、25-Methyl-21-tritriacontene-1,9,11-triol(P=0.004)等在GDM组中明显升高,胡椒酸(P=0.029)、2,2,9,9-Tetramethyl-undecan-1,10-diol (P=0.017)、刺桐碱(P=0.004)、Docosahexaenoyl Ethanolamide (P=0.021)等在GDM组中明显降低。在这些差异代谢物中,油酰乙醇胺有最好区分GDM与正常孕妇的能力,ROC曲线下面积为0.846(95%CI=0.757～0.920,P=0.005)。结论:代谢组学可以帮助解释促进GDM发展的代谢机制。孕妇头发中发现的代谢物油酰乙醇胺能够区分GDM,提示孕妇头发有作为生物标记物来源的可能。

Objective:To investigate the maternal metabolome on serum and hair associated with gestational diabetes mellitus(GDM) and to explore the potential biomarker of GDM. Methods:A total of 49 GDM cases and 44 controls were recruited at 26 to 28 weeks of gestation. The serum and hair metabolomes were analyzed using gas chromatography-mass spectrometry(GC/MS) and liquid chro-matography-mass spectrometry(LC/MS). Results:Of the 747 metabolites identified in serum and 545 metabolites identified in hair,23 and 31 were significantly different between GDM and control,respectively. For example,Amphibine H(P=0.001),N-Oleoyle-thanolamine(P=0.005),3,4-Methylenepimelic acid(P=0.043),25-Methyl-21-tritriacontene-1,9,11-triol(P=0.004) were increased in GDM. For instance,piperic acid(P=0.029),2,2,9,9-Tetramethyl-undecan-1,10-diol(P=0.017),Lenticin(P=0.004),Docosahex-aenoyl Ethanolamide(P=0.021) were decreased in GDM. And of the all significant metabolites,N-Oleoylethanolamine had the greatest ability to classify GDM status,with area under the receiver operating characteristic curve of 0.846(95%CI=0.757 to 0.920,P=0.005). Conclusion:Metabolomics can assist with the elucidation of metabolic mechanisms underpinning GDM development. The metabolite(N-Oleoylethanolamine) that could classify GDM status was identified in the hair of participants;highlighting the potential of maternal hair as a source of biomarkers.