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

Publication date: 7 March 2017
Source:Cell Metabolism, Volume 25, Issue 3
Author(s): Jens Nielsen
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.

Teaser

The advancement of personalized medicine is hindered by a lack of good prognostic biomarkers. Here Nielsen discusses how integrative analysis of big data using genome-scale metabolic models can advance the development of personalized and precision medicine to treat metabolic diseases like insulin resistance, obesity, NAFLD, NASH, and cancer.


http://ift.tt/2maF3kR