title: Systems biology approaches to study the molecular effects of caloric restriction and polyphenols on aging processes.
abstract: Worldwide population is aging, and a large part of the growing burden associated with age-related conditions can be prevented or delayed by promoting healthy lifestyle and normalizing metabolic risk factors. However, a better understanding of the pleiotropic effects of available nutritional interventions and their influence on the multiple processes affected by aging is needed to select and implement the most promising actions. New methods of analysis are required to tackle the complexity of the interplay between nutritional interventions and aging, and to make sense of a growing amount of -omics data being produced for this purpose. In this paper, we review how various systems biology-inspired methods of analysis can be applied to the study of the molecular basis of nutritional interventions promoting healthy aging, notably caloric restriction and polyphenol supplementation. We specifically focus on the role that different versions of network analysis, molecular signature identification and multi-omics data integration are playing in elucidating the complex mechanisms underlying nutrition, and provide some examples on how to extend the application of these methods using available microarray data.
authors.affiliation: The Microsoft Research, University of Trento Centre for Computational Systems Biology (COSBI), Piazza Manifattura 1, 38068, Rovereto, Italy.
authors.forename: Sébastien
authors.identifier: http://orcid.org/0000-0001-8057-8774
authors.initials: S
authors.lastname: Lacroix
authors.affiliation: The Microsoft Research, University of Trento Centre for Computational Systems Biology (COSBI), Piazza Manifattura 1, 38068, Rovereto, Italy.
authors.forename: Mario
authors.initials: M
authors.lastname: Lauria
authors.affiliation: The Microsoft Research, University of Trento Centre for Computational Systems Biology (COSBI), Piazza Manifattura 1, 38068, Rovereto, Italy.
authors.forename: Marie-Pier
authors.initials: MP
authors.lastname: Scott-Boyer
authors.affiliation: The Microsoft Research, University of Trento Centre for Computational Systems Biology (COSBI), Piazza Manifattura 1, 38068, Rovereto, Italy.
authors.forename: Luca
authors.initials: L
authors.lastname: Marchetti
authors.affiliation: The Microsoft Research, University of Trento Centre for Computational Systems Biology (COSBI), Piazza Manifattura 1, 38068, Rovereto, Italy.|Department of Mathematics, University of Trento, Via Sommarive 14, 38123, Povo, Italy.
authors.forename: Corrado
authors.initials: C
authors.lastname: Priami
authors.affiliation: The Microsoft Research, University of Trento Centre for Computational Systems Biology (COSBI), Piazza Manifattura 1, 38068, Rovereto, Italy. Caberlotto@cosbi.eu.
authors.forename: Laura
authors.initials: L
authors.lastname: Caberlotto
keywords: Glutamate receptors; Healthy aging; Inflammation; Multi-omics integration; Network analysis; Oxidative stress