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首页> 外文期刊>Biomolecules & therapeutics >Identification of Urinary Biomarkers Related to Cisplatin-Induced Acute Renal Toxicity Using NMR-Based Metabolomics
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Identification of Urinary Biomarkers Related to Cisplatin-Induced Acute Renal Toxicity Using NMR-Based Metabolomics

机译:使用基于核磁共振的代谢组学鉴定与顺铂诱导的急性肾毒性有关的尿液生物标志物

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摘要

Clsplatin is widely used for various types of cancers. However, its side effects, most notably, renal toxicity often limit its clinical utility. Although previous metabolomic studies reported possible toxicity markers, they used small number of animals and statistical approaches that may not perform best in the presence of intra-group variation. Here, we identified urinary biomarkers associated with renal toxicity induced by cisplatin using NMR-based metabolomics combined with Orthogonal Projections to Latent Structures-Discriminant Analysis (OPLS-DA). Male Sprague-Dawley rats (n=22) were treated with cisplatin (10 mg/kg single dose), and the urines obtained before and after treatment were analyzed by NMR. Multivariable analysis of NMR data presented clear separation between non-treated and treated groups. The OPLS-DA statistical results revealed that 1,3-dimethylurate, taurine, glucose, glycine and branched-chain aminoacid (isoleucine, leucine and valine) were significantly elevated in the treated group and that phenylacetylglycine and sarcosine levels were decreased in the treated group. To test the robustness of the approach, we built a prediction model for the toxicity and were able to predict all the unknown samples (n=14) correctly. We believe the proposed NMR-based metabolomics with OPLS-DA approach and the resulting urine markers can be used to augment the currently available blood markers.
机译:顺铂广泛用于各种类型的癌症。然而,其副作用,最显着的是,肾毒性经常限制其临床应用。尽管先前的代谢组学研究报告了可能的毒性标记物,但他们使用的动物数量少,且统计学方法在存在组内变异的情况下可能无法达到最佳效果。在这里,我们使用基于NMR的代谢组学与正交投影到潜在结构判别分析(OPLS-DA)相结合,确定了与顺铂诱导的肾毒性相关的尿液生物标志物。用顺铂(10 mg / kg单剂量)治疗雄性Sprague-Dawley大鼠(n = 22),并通过NMR分析治疗前后的尿液。 NMR数据的多变量分析显示了未处理组和已处理组之间的明确分离。 OPLS-DA统计结果显示,治疗组的1,3-二甲基尿酸酯,牛磺酸,葡萄糖,甘氨酸和支链氨基酸(异亮氨酸,亮氨酸和缬氨酸)显着升高,而苯乙酰基甘氨酸和肌氨酸水平降低。为了测试该方法的鲁棒性,我们建立了毒性预测模型,并能够正确预测所有未知样品(n = 14)。我们认为,采用OPLS-DA方法的基于NMR的代谢组学方法和所产生的尿液标记物可用于增加当前可用的血液标记物。

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