Reference : Quantitative systems pharmacology and the personalized drug–microbiota–diet axis
Scientific journals : Article
Life sciences : Biochemistry, biophysics & molecular biology
Systems Biomedicine
http://hdl.handle.net/10993/32608
Quantitative systems pharmacology and the personalized drug–microbiota–diet axis
English
Thiele, Ines mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
Clancy, Catherine mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
Heinken, Almut Katrin mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
Fleming, Ronan MT mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
Aug-2017
Current Opinion in Systems Biology
4
Big data acquisition and analysis • Pharmacology and drug discovery
43-52
Yes
[en] Precision medicine ; Pharmacokinetic modeling ; Constraint-based modeling ; Drug metabolism ; Gut microbiota
[en] Precision medicine is an emerging paradigm that aims at maximizing the benefits and minimizing the adverse effects of drugs. Realistic mechanistic models are needed to understand and limit heterogeneity in drug responses. While pharmacokinetic models describe in detail a drug's absorption and metabolism, they generally do not account for individual variations in response to environmental influences, in addition to genetic variation. For instance, the human gut microbiota metabolizes drugs and is modulated by diet, and it exhibits significant variation among individuals. However, the influence of the gut microbiota on drug failure or drug side effects is under-researched. Here, we review recent advances in computational modeling approaches that could contribute to a better, mechanism-based understanding of drug–microbiota–diet interactions and their contribution to individual drug responses. By integrating systems biology and quantitative systems pharmacology with microbiology and nutrition, the conceptually and technologically demand for novel approaches could be met to enable the study of individual variability, thereby providing breakthrough support for progress in precision medicine.
Researchers ; Professionals ; Students
http://hdl.handle.net/10993/32608
10.1016/j.coisb.2017.06.001
http://www.sciencedirect.com/science/article/pii/S2452310017300847

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