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© Research
Publication : Bioinformatics (Oxford, England)

MetaboRank: network-based recommendation system to interpret and enrich metabolomics results.

Scientific Fields
Diseases
Organisms
Applications
Technique

Published in Bioinformatics (Oxford, England) - 15 Jan 2019

Frainay C, Aros S, Chazalviel M, Garcia T, Vinson F, Weiss N, Colsch B, Sedel F, Thabut D, Junot C, Jourdan F,

Link to Pubmed [PMID] – 29982278

Link to DOI – 10.1093/bioinformatics/bty577

Bioinformatics 2019 01; 35(2): 274-283

Metabolomics has shown great potential to improve the understanding of complex diseases, potentially leading to therapeutic target identification. However, no single analytical method allows monitoring all metabolites in a sample, resulting in incomplete metabolic fingerprints. This incompleteness constitutes a stumbling block to interpretation, raising the need for methods that can enrich those fingerprints. We propose MetaboRank, a new solution inspired by social network recommendation systems for the identification of metabolites potentially related to a metabolic fingerprint.MetaboRank method had been used to enrich metabolomics data obtained on cerebrospinal fluid samples from patients suffering from hepatic encephalopathy (HE). MetaboRank successfully recommended metabolites not present in the original fingerprint. The quality of recommendations was evaluated by using literature automatic search, in order to check that recommended metabolites could be related to the disease. Complementary mass spectrometry experiments and raw data analysis were performed to confirm these suggestions. In particular, MetaboRank recommended the overlooked α-ketoglutaramate as a metabolite which should be added to the metabolic fingerprint of HE, thus suggesting that metabolic fingerprints enhancement can provide new insight on complex diseases.Method is implemented in the MetExplore server and is available at www.metexplore.fr. A tutorial is available at https://metexplore.toulouse.inra.fr/com/tutorials/MetaboRank/2017-MetaboRank.pdf.Supplementary data are available at Bioinformatics online.

https://pubmed.ncbi.nlm.nih.gov/29982278