title: Metabonomics of ageing - Towards understanding metabolism of a long and healthy life.
abstract: Systems biology approaches have been increasingly employed in clinical studies to enhance our understanding of the role of genetics, environmental factors and their interactions on nutritional, health and disease status. Amongst the new omics technologies, metabonomics has emerged as a robust platform to capture metabolic and nutritional requirements by enabling, in a minimally invasive fashion, the monitoring of a wide range of biochemical compounds. Their variations reflect comprehensively the various molecular regulatory processes, which are tightly controlled and under the influence of genetics, diet, gut microbiota and other environmental factors. They are providing key insights into complex metabolic phenomena as well as into differences and specificities at individual and population level. The aim of this review is to evaluate promising metabolic insights towards understanding metabolism of a long and healthy life from pre-clinical and clinical metabonomics studies. We will also discuss analytical approaches to enable data integration, with an emphasis on the longitudinal component. Herein, we will illustrate current examples, challenges and perspectives in the applications of metabonomics monitoring and modelling approaches in the context of healthy ageing research.
authors.affiliation: Nestlé Institute of Health Sciences, Lausanne, Switzerland. Electronic address: francois-pierre.martin@rd.nestle.com.
authors.forename: Francois-Pierre J
authors.initials: FJ
authors.lastname: Martin
authors.affiliation: Nestlé Institute of Health Sciences, Lausanne, Switzerland.
authors.forename: Ivan
authors.initials: I
authors.lastname: Montoliu
authors.affiliation: Nestlé Institute of Health Sciences, Lausanne, Switzerland.
authors.forename: Martin
authors.initials: M
authors.lastname: Kussmann
mesh_terms: D000375:Aging / Q000378:metabolism*; D000818:Animals; D006801:Humans; D055442:Metabolome / Q000502:physiology*; D055432:Metabolomics
keywords: Longitudinal; Metabonomics; Microbiota; Systems biology