Urinary Metabolome Analyses of Patients with Acute Kidney Injury Using Capillary Electrophoresis-Mass Spectrometry.
Urinary Metabolome Analyses of Patients with Acute Kidney Injury Using Capillary Electrophoresis-Mass Spectrometry.
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DOI：
10.3390/metabo11100671
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发表时间：
2021-09-30
期刊：
影响因子：
4.1
通讯作者：
Maruyama S
中科院分区：
文献类型：
--
作者：
Saito R;Hirayama A;Akiba A;Kamei Y;Kato Y;Ikeda S;Kwan B;Pu M;Natarajan L;Shinjo H;Akiyama S;Tomita M;Soga T;Maruyama S
急性肾损伤（AKI）被定义为肾功能的快速下降。相关综合征可能导致发病率和死亡率增加，但其早期发现仍然很困难。我们使用毛细管电泳飞行时间质谱（CE-TOFMS）分析了有创手术后入住重症监护病房（ICU）患者的尿液代谢组学特征。于术前、ICU入院及术后6、12、24、48 h采集尿样。首先，对61例初始患者（非AKI: 23例，轻度AKI: 24例，重度AKI: 14例）的尿液样本进行测量，然后对另外60例患者（非AKI: 40例，轻度AKI: 20例）的尿液样本进行测量。与非AKI患者相比，两组AKI患者在6-24 h时甘氨酸和乙醇胺含量降低。通过机器学习在每个时间点构建的线性统计模型在24 h时获得了第一组的最佳性能（曲线下面积中位数：89%，交叉验证）。当在两组之间进行交叉验证时，AUC在12小时时显示出70%的最佳值。这些结果确定了代谢物和时间点，显示了AKI受试者特有的模式，为开发更好的生物标志物铺平了道路。
Acute kidney injury (AKI) is defined as a rapid decline in kidney function. The associated syndromes may lead to increased morbidity and mortality, but its early detection remains difficult. Using capillary electrophoresis time-of-flight mass spectrometry (CE-TOFMS), we analyzed the urinary metabolomic profile of patients admitted to the intensive care unit (ICU) after invasive surgery. Urine samples were collected at six time points: before surgery, at ICU admission and 6, 12, 24 and 48 h after. First, urine samples from 61 initial patients (non-AKI: 23, mild AKI: 24, severe AKI: 14) were measured, followed by the measurement of urine samples from 60 additional patients (non-AKI: 40, mild AKI: 20). Glycine and ethanolamine were decreased in patients with AKI compared with non-AKI patients at 6–24 h in the two groups. The linear statistical model constructed at each time point by machine learning achieved the best performance at 24 h (median AUC, area under the curve: 89%, cross-validated) for the 1st group. When cross-validated between the two groups, the AUC showed the best value of 70% at 12 h. These results identified metabolites and time points that show patterns specific to subjects who develop AKI, paving the way for the development of better biomarkers.
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DOI：
10.2215/cjn.04010907
发表时间：
2008-05-01
影响因子：
9.8
作者：
Bennett, Michael;Dent, Catherine L.;Devarajan, Prasad
通讯作者：
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影响因子：
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DOI：
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发表时间：
2012-01-01
影响因子：
4.2
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影响因子：
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作者：
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影响因子：
5.4
作者：
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通讯作者：
Gerszten RE