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

Research output: Contribution to journalReview articleAcademicpeer-review

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.

LanguageEnglish
Pages91-99
Number of pages9
JournalCurrent Opinion in Systems Biology
Volume15
DOIs
Publication statusPublished - 1 Jun 2019

Fingerprint

Metabolomics
Systems Analysis
Medicine
Precision Medicine
Bioelectric potentials
Data structures
Data Modeling
Health
Phenotype
Data analysis
Diagnostics
Datasets
Therapeutics

Keywords

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

Cite this

Karakitsou, Effrosyni ; Foguet, Carles ; de Atauri, Pedro ; Kultima, Kim ; Khoonsari, Payam Emami ; Martins dos Santos, Vitor A.P. ; Saccenti, Edoardo ; Rosato, Antonio ; Cascante, Marta. / Metabolomics in systems medicine: an overview of methods and applications. In: Current Opinion in Systems Biology. 2019 ; Vol. 15. pp. 91-99.
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Metabolomics in systems medicine: an overview of methods and applications. / Karakitsou, Effrosyni; Foguet, Carles; de Atauri, Pedro; Kultima, Kim; Khoonsari, Payam Emami; Martins dos Santos, Vitor A.P.; Saccenti, Edoardo; Rosato, Antonio; Cascante, Marta.

In: Current Opinion in Systems Biology, Vol. 15, 01.06.2019, p. 91-99.

Research output: Contribution to journalReview articleAcademicpeer-review

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AU - Khoonsari, Payam Emami

AU - Martins dos Santos, Vitor A.P.

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AB - 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.

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