An interactive web application for exploring human plasma and fibroblast metabolomics data from patients with inborn errors of metabolism
Ling CaiiD, Hieu VuiD, Wen GuiD, Hongli CheniD, Jordan FrankliniD, Lea Abou Haidar, Zheng WuiD, Chunxiao PaniD, Feng CaiiD, Phong NguyeniD, Bookyung KoiD, Chendong YangiD, Lauren G. ZachariasiD, Jessica SudderthiD, Sarah Montgomery, Crescenda L UhlesiD, Heather Fisher, Julianna Hudnall, Callie Hornbuckle, Christine M. QuinniD, Donnice Michel, Luis Alfredo UmañaiD, Angela E. ScheuerleiD, Markey McNuttiD, Garrett K. GotwayiD, , Ralph J. DeBerardinisiD
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 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.
02 /Specification & Classification
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