Systems Biology of Metabolism: A Driver for Developing Personalized and Precision Medicine

Jens Nielsen

doi:10.1016/j.cmet.2017.02.002

Systems Biology of Metabolism: A Driver for Developing Personalized and Precision Medicine

Jens Nielsen

Novo Nordisk Foundation Center for Biosustainability

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Abstract

Systems biology uses mathematical models to analyze large datasets and simulate system behavior. It enables integrative analysis of different types of data and can thereby provide new insight into complex biological systems. Here will be discussed the challenges of using systems medicine for advancing the development of personalized and precision medicine to treat metabolic diseases like insulin resistance, obesity, NAFLD, NASH, and cancer. It will be illustrated how the concept of genome-scale metabolic models can be used for integrative analysis of big data with the objective of identifying novel biomarkers that are foundational for personalized and precision medicine.

Original language	English
Journal	Cell Metabolism
Volume	25
Issue number	3
Pages (from-to)	572-579
Number of pages	8
ISSN	1550-4131
DOIs	https://doi.org/10.1016/j.cmet.2017.02.002
Publication status	Published - 2017

Bibliographical note

Open Archive under an Elsevier user license. Elsevier enables subscribers and the general public to have free access to archived material in 113 Elsevier journals. Articles featured in the archives are free for everyone to read and download and are made available after an embargo period

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.cmet.2017.02.002

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Systems Biology of Metabolism: A Driver for Developing Personalized and Precision Medicine

Abstract

Bibliographical note

UN SDGs

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