Metabolomics in systems medicine: an overview of methods and applications

Effrosyni Karakitsou, Carles Foguet, Pedro de Atauri, Kim Kultima, Payam Emami Khoonsari, Vitor A.P. Martins dos Santos, Edoardo Saccenti*, Antonio Rosato, Marta Cascante

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

3 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)91-99
Number of pages9
JournalCurrent Opinion in Systems Biology
Publication statusPublished - 1 Jun 2019



  • Constraint-based modelling
  • Kinetic modellig
  • Metabolomics
  • Multiomics
  • Personalized medicine
  • Systems medicine

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