Unknown

Dataset Information

0

Metabolomics-Based Screening of Inborn Errors of Metabolism: Enhancing Clinical Application with a Robust Computational Pipeline.


ABSTRACT: Inborn errors of metabolism (IEM) are inherited conditions caused by genetic defects in enzymes or cofactors. These defects result in a specific metabolic fingerprint in patient body fluids, showing accumulation of substrate or lack of an end-product of the defective enzymatic step. Untargeted metabolomics has evolved as a high throughput methodology offering a comprehensive readout of this metabolic fingerprint. This makes it a promising tool for diagnostic screening of IEM patients. However, the size and complexity of metabolomics data have posed a challenge in translating this avalanche of information into knowledge, particularly for clinical application. We have previously established next-generation metabolic screening (NGMS) as a metabolomics-based diagnostic tool for analyzing plasma of individual IEM-suspected patients. To fully exploit the clinical potential of NGMS, we present a computational pipeline to streamline the analysis of untargeted metabolomics data. This pipeline allows for time-efficient and reproducible data analysis, compatible with ISO:15189 accredited clinical diagnostics. The pipeline implements a combination of tools embedded in a workflow environment for large-scale clinical metabolomics data analysis. The accompanying graphical user interface aids end-users from a diagnostic laboratory for efficient data interpretation and reporting. We also demonstrate the application of this pipeline with a case study and discuss future prospects.

SUBMITTER: Hoegen B 

PROVIDER: S-EPMC8470724 | biostudies-literature |

REPOSITORIES: biostudies-literature

Similar Datasets

| S-EPMC9160361 | biostudies-literature
| S-EPMC6835511 | biostudies-literature
| S-EPMC5959972 | biostudies-literature
| S-EPMC4626538 | biostudies-literature
| S-EPMC10915440 | biostudies-literature
| S-EPMC6950026 | biostudies-literature
| S-EPMC8800147 | biostudies-literature
| S-EPMC7078983 | biostudies-literature
| S-EPMC5959979 | biostudies-literature
| S-EPMC1852094 | biostudies-literature