Deciphering the Core Metabolites of Fanconi Anemia by Using a Multi-Omics Composite Network.

ABSTRACT: Deciphering the metabolites of human diseases is an important objective of biomedical research. Here, we aimed to capture the core metabolites of Fanconi anemia (FA) using the bioinformatics method of a multi-omics composite network. Based on the assumption that metabolite levels can directly mirror the physiological state of the human body, we used a multi-omics composite network that integrates six types of interactions in humans (gene-gene, disease phenotype-phenotype, disease-related metabolite-metabolite, gene-phenotype, gene-metabolite, and metabolite-phenotype) to procure the core metabolites of FA. This method is applicable in predicting and prioritizing disease candidate metabolites and is effective in a network without known disease metabolites. In this report, we first singled o

SUBMITTER: Xie X 

PROVIDER: S-EPMC9628788 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature