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Title: Metabolomics in systems medicine: an overview of methods and applications
Author: Karakitsou, Effrosyni
Foguet Coll, Carles
Atauri Carulla, Ramón de
Kultima, Kim
Emami Khoonsari, Payam
Martins dos Santos, Vitor A.P.
Saccenti, Edoardo
Rosato, Antonio
Cascante i Serratosa, Marta
Keywords: Metabolòmica
Issue Date: 1-Jun-2019
Publisher: Elsevier
Abstract: Patient-derived metabolomics offers valuable insights into the metabolic phenotype underlying diseases with a strong metabolic component. Thus, these data sets will be pivotal to the implementation of personalized medicine strategies in health and disease. However, to take full advantage of such data sets, they must be integrated with other omics within a coherent pathophysiological framework to enable improved diagnostics, to identify therapeutic interventions, and to accurately stratify patients. Herein, we provide an overview of the state-of-the-art data analysis and modeling approaches applicable to metabolomics data and of their potential for systems medicine.
Note: Versió postprint del document publicat a:
It is part of: Current Opinion in Systems Biology, 2019, vol. 15, p. 91-99
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ISSN: 2452-3100
Appears in Collections:Articles publicats en revistes (Bioquímica i Biomedicina Molecular)

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