AI Article Synopsis

  • * This study analyzed plasma from 474 individuals and fibroblasts from 67 subjects, including healthy controls and patients with 65 different monogenic diseases, alongside an undiagnosed group.
  • * A new web application has been developed for users to easily explore and analyze the metabolomics database, allowing for in-depth reviews of metabolic changes related to IEMs and comparisons of different biological samples.

Article Abstract

Metabolomic profiling is instrumental in understanding the systemic and cellular impact of inborn errors of metabolism (IEMs), monogenic disorders caused by pathogenic genomic variants in genes involved in metabolism. This study encompasses untargeted metabolomics analysis of plasma from 474 individuals and fibroblasts from 67 subjects, incorporating healthy controls, patients with 65 different monogenic diseases, and numerous undiagnosed cases. We introduce a web application designed for the in-depth exploration of this extensive metabolomics database. The application offers a user-friendly interface for data review, download, and detailed analysis of metabolic deviations linked to IEMs at the level of individual patients or groups of patients with the same diagnosis. It also provides interactive tools for investigating metabolic relationships and offers comparative analyses of plasma and fibroblast profiles. This tool emphasizes the metabolic interplay within and across biological matrices, enriching our understanding of metabolic regulation in health and disease. As a resource, the application provides broad utility in research, offering novel insights into metabolic pathways and their alterations in various disorders.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10760037PMC
http://dx.doi.org/10.1101/2023.12.11.571124DOI Listing

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