title: Living Long and Well: Prospects for a Personalized Approach to the Medicine of Ageing.
abstract: Research into ageing and its underlying molecular basis enables us to develop and implement targeted interventions to ameliorate or cure its consequences. However, the efficacy of interventions often differs widely between individuals, suggesting that populations should be stratified or even individualized. Large-scale cohort studies in humans, similar systematic studies in model organisms as well as detailed investigations into the biology of ageing can provide individual validated biomarkers and mechanisms, leading to recommendations for targeted interventions. Human cohort studies are already ongoing, and they can be supplemented by in silico simulations. Systematic studies in animal models are made possible by the use of inbred strains or genetic reference populations of mice. Combining the two, a comprehensive picture of the various determinants of ageing and 'health span' can be studied in detail, and an appreciation of the relevance of results from model organisms to humans is emerging. The interactions between genotype and environment, particularly the psychosocial environment, are poorly studied in both humans and model organisms, presenting serious challenges to any approach to a personalized medicine of ageing. To increase the success of preventive interventions, we argue that there is a pressing need for an individualized evaluation of interventions such as physical exercise, nutrition, nutraceuticals and calorie restriction mimetics as well as psychosocial and environmental factors, separately and in combination. The expected extension of the health span enables us to refocus health care spending on individual prevention, starting in late adulthood, and on the brief period of morbidity at very old age.
authors.affiliation: Institute for Biostatistics and Informatics in Medicine und Ageing Research (IBIMA), Rostock University Medical Center, Rostock, Germany.
authors.forename: Georg
authors.initials: G
authors.lastname: Fuellen
authors.forename: Paul
authors.initials: P
authors.lastname: Schofield
authors.forename: Thomas
authors.initials: T
authors.lastname: Flatt
authors.forename: Ralf-Joachim
authors.initials: RJ
authors.lastname: Schulz
authors.forename: Fritz
authors.initials: F
authors.lastname: Boege
authors.forename: Karin
authors.initials: K
authors.lastname: Kraft
authors.forename: Gerald
authors.initials: G
authors.lastname: Rimbach
authors.forename: Saleh
authors.initials: S
authors.lastname: Ibrahim
authors.forename: Alexander
authors.initials: A
authors.lastname: Tietz
authors.forename: Christian
authors.initials: C
authors.lastname: Schmidt
authors.forename: Rüdiger
authors.initials: R
authors.lastname: Köhling
authors.forename: Andreas
authors.initials: A
authors.lastname: Simm
mesh_terms: D000375:Aging; D000818:Animals; D019295:Computational Biology; D000073656:Healthy Aging; D006801:Humans; D008136:Longevity; D051379:Mice; D023421:Models, Animal; D057285:Precision Medicine / Q000639:trends*