Ontology highlight
ABSTRACT: Aims
We wished to determine the efficacy of using urine as an analyte to screen for a broad range of metabolic products associated with multiple different types of inborn errors of metabolism (IEMs), using an automated mass spectrometry-based assay. Urine was compared with plasma samples from a similar cohort analyzed using the same assay. Specimens were analyzed using two different commonly utilized urine normalization methods based on creatinine and osmolality, respectively.Methods
Biochemical profiles for each sample (from both affected and unaffected subjects) were obtained using a mass spectrometry-based platform and population-based statistical analyses.Results
We identified over 1200 biochemicals from among 100 clinical urine samples and identified clear bioc
SUBMITTER: Kennedy AD
PROVIDER: S-EPMC5314726 | biostudies-literature | 2016 Sep
REPOSITORIES: biostudies-literature