Metabolomic profiling in the prediction of gestational diabetes mellitus.
Metabolomic profiling in the prediction of gestational diabetes mellitus.
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妊娠糖尿病预测中的代谢组分析。
DOI：
10.1007/s00125-015-3553-4
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发表时间：
2015-06
期刊：
影响因子：
8.2
通讯作者：
Gerszten, Robert
中科院分区：
文献类型：
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作者：
Bentley-Lewis, Rhonda;Huynh, Jennifer;Xiong, Grace;Lee, Hang;Wenger, Julia;Clish, Clary;Nathan, David;Thadhani, Ravi;Gerszten, Robert
糖耐量受损人群的代谢组学分析显示，支链和芳香氨基酸（BCAAs）可预测2型糖尿病。由于妊娠期糖尿病（GDM）与2型糖尿病具有病理生理上的相似性，因此预测2型糖尿病的代谢物谱可能潜在地识别将发展为GDM的女性。我们对1998年至2007年间参加马萨诸塞州总医院产科研究的18至40岁妇女进行了巢式病例对照研究。参与者在单胎妊娠的前三个月被招募，并收集空腹血清样本。这些妇女在整个怀孕期间被跟踪，并在妊娠晚期被确定为患有GDM或正常的葡萄糖耐量（NGT）。GDM妇女（n=96）与NGT妇女（n=96）按年龄、BMI、妊娠和胎次进行匹配。采用液相色谱-质谱法测定了91种代谢物的含量。数据分析显示：年龄32.8±4.4岁，BMI 28.3±5.6 kg/m2，体重2±1，胎次1±1。经条件logistic回归分析，两组间6种代谢物（苯胺酸、丙氨酸、谷氨酸、肌酐、尿囊素、丝氨酸）差异有统计学意义（p<0.05）。BCAAs水平在GDM和NGT之间没有显著差异。被确定为预测2型糖尿病的代谢标志物可能对GDM没有相同的预测能力。然而，在基于种族/民族多样化人群的队列中进行进一步研究是必要的。
Metabolomic profiling in populations with impaired glucose tolerance has revealed that branched chain and aromatic amino acids (BCAAs) are predictive of type 2 diabetes. Because gestational diabetes mellitus (GDM) shares pathophysiological similarities with type 2 diabetes, the metabolite profile predictive of type 2 diabetes could potentially identify women who will develop GDM. We conducted a nested case–control study of 18- to 40-year-old women who participated in the Massachusetts General Hospital Obstetrical Maternal Study between 1998 and 2007. Participants were enrolled during their first trimester of a singleton pregnancy and fasting serum samples were collected. The women were followed throughout pregnancy and identified as having GDM or normal glucose tolerance (NGT) in the third trimester. Women with GDM (n=96) were matched to women with NGT (n=96) by age, BMI, gravidity and parity. Liquid chromatography–mass spectrometry was used to measure the levels of 91 metabolites. Data analyses revealed the following characteristics (mean±SD): age 32.8±4.4 years, BMI 28.3±5.6 kg/m2, gravidity 2±1 and parity 1±1. Six metabolites (anthranilic acid, alanine, glutamate, creatinine, allantoin and serine) were identified as having significantly different levels between the two groups in conditional logistic regression analyses (p<0.05). The levels of the BCAAs did not differ significantly between GDM and NGT. Metabolic markers identified as being predictive of type 2 diabetes may not have the same predictive power for GDM. However, further study in a racially/ethnically diverse population-based cohort is necessary.
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影响因子：
16.2
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Thadhani, R
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