The Virtual Metabolic Human database: integrating human and gut microbiome metabolism with nutrition and disease

Author:

Noronha Alberto1,Modamio Jennifer1,Jarosz Yohan1,Guerard Elisabeth1,Sompairac Nicolas2,Preciat German1,Daníelsdóttir Anna Dröfn1,Krecke Max1,Merten Diane1,Haraldsdóttir Hulda S1,Heinken Almut1,Heirendt Laurent1,Magnúsdóttir Stefanía1,Ravcheev Dmitry A1,Sahoo Swagatika1,Gawron Piotr1,Friscioni Lucia1,Garcia Beatriz1,Prendergast Mabel1,Puente Alberto1,Rodrigues Mariana1,Roy Akansha1,Rouquaya Mouss1,Wiltgen Luca1,Žagare Alise1,John Elisabeth1,Krueger Maren1,Kuperstein Inna2ORCID,Zinovyev Andrei2,Schneider Reinhard1,Fleming Ronan M T13ORCID,Thiele Ines1

Affiliation:

1. Luxembourg Centre for Systems Biomedicine, University of Luxembourg , Campus Belval, Esch-sur-Alzette L-4367, Luxembourg

2. Institut Curie, PSL Research University, INSERM U900, F-75005 Paris, France and CBIO-Centre for Computational Biology, MINES ParisTech, PSL Research University, F-75006 Paris, France

3. Division of Systems Biomedicine and Pharmacology, Leiden Academic Centre for Drug Research, Faculty of Science, University of Leiden, Leiden 2333, The Netherlands

Abstract

Abstract A multitude of factors contribute to complex diseases and can be measured with ‘omics’ methods. Databases facilitate data interpretation for underlying mechanisms. Here, we describe the Virtual Metabolic Human (VMH, www.vmh.life) database encapsulating current knowledge of human metabolism within five interlinked resources ‘Human metabolism’, ‘Gut microbiome’, ‘Disease’, ‘Nutrition’, and ‘ReconMaps’. The VMH captures 5180 unique metabolites, 17 730 unique reactions, 3695 human genes, 255 Mendelian diseases, 818 microbes, 632 685 microbial genes and 8790 food items. The VMH’s unique features are (i) the hosting of the metabolic reconstructions of human and gut microbes amenable for metabolic modeling; (ii) seven human metabolic maps for data visualization; (iii) a nutrition designer; (iv) a user-friendly webpage and application-programming interface to access its content; (v) user feedback option for community engagement and (vi) the connection of its entities to 57 other web resources. The VMH represents a novel, interdisciplinary database for data interpretation and hypothesis generation to the biomedical community.

Funder

Luxembourg National Research Fund

FNR CORE

FNR OPEN

Horizon 2020

Publisher

Oxford University Press (OUP)

Subject

Genetics

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