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Lifestyle and precision diabetes medicine: will genomics help optimise the prediction, prevention and treatment of type 2 diabetes through lifestyle therapy?
Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Medicine. Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Clinical Research Centre, Lund University, Jan Waldenströms gata 35, Skåne University Hospital, Malmö SE-20502, Sweden; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
2017 (English)In: Diabetologia, ISSN 0012-186X, E-ISSN 1432-0428Article in journal (Refereed) Epub ahead of print
Abstract [en]

Precision diabetes medicine, the optimisation of therapy using patient-level biomarker data, has stimulated enormous interest throughout society as it provides hope of more effective, less costly and safer ways of preventing, treating, and perhaps even curing the disease. While precision diabetes medicine is often framed in the context of pharmacotherapy, using biomarkers to personalise lifestyle recommendations, intended to lower type 2 diabetes risk or to slow progression, is also conceivable. There are at least four ways in which this might work: (1) by helping to predict a person's susceptibility to adverse lifestyle exposures; (2) by facilitating the stratification of type 2 diabetes into subclasses, some of which may be prevented or treated optimally with specific lifestyle interventions; (3) by aiding the discovery of prognostic biomarkers that help guide timing and intensity of lifestyle interventions; (4) by predicting treatment response. In this review we overview the rationale for precision diabetes medicine, specifically as it relates to lifestyle; we also scrutinise existing evidence, discuss the barriers germane to research in this field and consider how this work is likely to proceed.

Place, publisher, year, edition, pages
2017.
Keyword [en]
Biomarkers, Lifestyle, Precision medicine, Review, Type 2 diabetes
National Category
Endocrinology and Diabetes
Identifiers
URN: urn:nbn:se:umu:diva-131790DOI: 10.1007/s00125-017-4207-5PubMedID: 28124081OAI: oai:DiVA.org:umu-131790DiVA: diva2:1076086
Available from: 2017-02-22 Created: 2017-02-22 Last updated: 2017-03-06

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CiteExportLink to record
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Citation style
  • apa
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  • ieee
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