Nutritional systems biology modeling: from molecular mechanisms to physiology

Albert A de Graaf, Andreas P Freidig, Baukje De Roos, Neema Jamshidi, Matthias Heinemann, Johan A C Rullmann, Kevin D Hall, Martin Adiels, Ben van Ommen

    Research output: Contribution to journalLiterature review

    59 Citations (Scopus)
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    Abstract

    The use of computational modeling and simulation has increased in many biological fields, but despite their potential these techniques are only marginally applied in nutritional sciences. Nevertheless, recent applications of modeling have been instrumental in answering important nutritional questions from the cellular up to the physiological levels. Capturing the complexity of today's important nutritional research questions poses a challenge for modeling to become truly integrative in the consideration and interpretation of experimental data at widely differing scales of space and time. In this review, we discuss a selection of available modeling approaches and applications relevant for nutrition. We then put these models into perspective by categorizing them according to their space and time domain. Through this categorization process, we identified a dearth of models that consider processes occurring between the microscopic and macroscopic scale. We propose a "middle-out'' strategy to develop the required full-scale, multilevel computational models. Exhaustive and accurate phenotyping, the use of the virtual patient concept, and the development of biomarkers from "-omics'' signatures are identified as key elements of a successful systems biology modeling approach in nutrition research-one that integrates physiological mechanisms and data at multiple space and time scales.

    Original languageEnglish
    Article numbere1000554
    Number of pages12
    JournalPLoS Computational Biology
    Volume5
    Issue number11
    DOIs
    Publication statusPublished - 26 Nov 2009

    Keywords

    • density lipoprotein-triglyceride
    • bidirectional reaction steps
    • metabolic network
    • apolipoprotein B-100
    • mathematical-model
    • weight-loss
    • diabetic dyslipidemia
    • labeling experiments
    • insulin-resistance
    • energy-metabolism

    Cite this

    de Graaf, A. A., Freidig, A. P., De Roos, B., Jamshidi, N., Heinemann, M., Rullmann, J. A. C., ... van Ommen, B. (2009). Nutritional systems biology modeling: from molecular mechanisms to physiology. PLoS Computational Biology , 5(11), [e1000554]. https://doi.org/10.1371/journal.pcbi.1000554

    Nutritional systems biology modeling : from molecular mechanisms to physiology. / de Graaf, Albert A; Freidig, Andreas P; De Roos, Baukje; Jamshidi, Neema; Heinemann, Matthias; Rullmann, Johan A C; Hall, Kevin D; Adiels, Martin; van Ommen, Ben.

    In: PLoS Computational Biology , Vol. 5, No. 11, e1000554, 26.11.2009.

    Research output: Contribution to journalLiterature review

    de Graaf, AA, Freidig, AP, De Roos, B, Jamshidi, N, Heinemann, M, Rullmann, JAC, Hall, KD, Adiels, M & van Ommen, B 2009, 'Nutritional systems biology modeling: from molecular mechanisms to physiology', PLoS Computational Biology , vol. 5, no. 11, e1000554. https://doi.org/10.1371/journal.pcbi.1000554
    de Graaf, Albert A ; Freidig, Andreas P ; De Roos, Baukje ; Jamshidi, Neema ; Heinemann, Matthias ; Rullmann, Johan A C ; Hall, Kevin D ; Adiels, Martin ; van Ommen, Ben. / Nutritional systems biology modeling : from molecular mechanisms to physiology. In: PLoS Computational Biology . 2009 ; Vol. 5, No. 11.
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