One more exciting study with the participation of HybridStat.
In this article, we discuss metabolite profiling with the capillary electrophoresis coupled to mass spectrometry (CE/MS) technique as a potential diagnostic tool for kidney disease. We present an optimized CE-MS setup and analysis pipeline to explore the metabolite content of human urine and a novel normalization procedure based on the use of endogenous stable urinary metabolites identified in the combined metabolome of 75 different urine samples from healthy and diseased individuals. To demonstrate the use of this pipeline in clinical research we compared the urinary metabolome of 34 newborns with ureteropelvic junction (UPJ) obstruction and 15 healthy newborns. We identified 32 features with differential urinary abundance. Combination of the 32 compounds in a SVM classifier predicted with 76% sensitivity and 86% specificity UPJ obstruction in a separate validation cohort of 24 individuals.
For more, you can read the whole article at Scientific Reports: