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Advances in Medicine
Volume 2017 (2017), Article ID 1718957, 5 pages
https://doi.org/10.1155/2017/1718957
Review Article

A Systems Medicine Approach: Translating Emerging Science into Individualized Wellness

1Personalized Lifestyle Medicine Institute, Seattle, WA, USA
2Institute for Functional Medicine, Federal Way, WA, USA
3University of Western States, Portland, OR, USA
4Metagenics, Inc., Aliso Viejo, CA, USA

Correspondence should be addressed to D. M. Minich; moc.liamtoh@hcinimannaed

Received 6 June 2017; Revised 25 August 2017; Accepted 2 October 2017; Published 15 October 2017

Academic Editor: Spilios Manolakopoulos

Copyright © 2017 J. S. Bland et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. World Health Organization, Global Action Plan for the Prevention and Control of NCDs 2013-2020, World Health Organization, 2013.
  2. R. Arena, M. Guazzi, L. Lianov et al., “Healthy lifestyle interventions to combat noncommunicable disease-a novel nonhierarchical connectivity model for key stakeholders: a policy statement from the American Heart Association, European Society of Cardiology, European Association for Cardiovascular Prevention and Rehabilitation, and American College of Preventive Medicine,” Mayo Clinic Proceedings, vol. 90, no. 8, pp. 1082–1103, 2015. View at Publisher · View at Google Scholar · View at Scopus
  3. D. L. Katz, E. P. Frates, J. P. Bonnet, S. K. Gupta, E. Vartiainen, and R. H. Carmona, “Lifestyle as medicine: the case for a true health initiative,” American Journal of Health Promotion, 2017. View at Publisher · View at Google Scholar
  4. F. Fani Marvasti and R. S. Stafford, “From sick care to health care–reengineering prevention into the U.S. system,” New England Journal of Medicine, vol. 367, no. 10, pp. 889–891, 2012. View at Publisher · View at Google Scholar · View at Scopus
  5. N. F. Sheard, N. G. Clark, J. C. Brand-Miller et al., “Dietary carbohydrate (amount and type) in the prevention and management of diabetes: a statement by the american diabetes association,” Diabetes Care, vol. 27, no. 9, pp. 2266–2271, 2004. View at Publisher · View at Google Scholar · View at Scopus
  6. D. Zeevi, T. Korem, N. Zmora et al., “Personalized nutrition by prediction of glycemic responses,” Cell, vol. 163, no. 5, pp. 1079–1094, 2015. View at Publisher · View at Google Scholar · View at Scopus
  7. S. Vega-Lopez, L. M. Ausman, J. L. Griffith, and A. H. Lichtenstein, “Interindividual variability and intra-individual reproducibility of glycemic index values for commercial white bread,” Diabetes Care, vol. 30, no. 6, pp. 1412–1417, 2007. View at Publisher · View at Google Scholar · View at Scopus
  8. S. Hirsch, G. Barrera, L. Leiva, M. P. de la Maza, and D. Bunout, “Variability of glycemic and insulin response to a standard meal, within and between healthy subjects,” Nutrición Hospitalaria, vol. 28, no. 2, pp. 541–544, 2013. View at Publisher · View at Google Scholar · View at Scopus
  9. D. R. Jacobs Jr., M. D. Gross, and L. C. Tapsell, “Food synergy: an operational concept for understanding nutrition,” American Journal of Clinical Nutrition, vol. 89, no. 5, pp. 1543S–1548S, 2009. View at Publisher · View at Google Scholar · View at Scopus
  10. J. Reedy, S. M. Krebs-Smith, R. A. Hammond, and E. Hennessy, “Advancing the science of dietary patterns research to leverage a complex systems approach,” Journal of the Academy of Nutrition and Dietetics, vol. 117, no. 7, pp. 1019–1022, 2017. View at Publisher · View at Google Scholar
  11. C. Noecker and E. Borenstein, “Getting personal about nutrition,” Trends in Molecular Medicine, vol. 22, no. 2, pp. 83–85, 2016. View at Publisher · View at Google Scholar · View at Scopus
  12. E. L. Barry, J. L. Peacock, J. R. Rees et al., “Vitamin D receptor genotype, vitamin D3 supplementation, and risk of colorectal adenomas: a randomized clinical trial,” JAMA Oncology, vol. 3, no. 5, pp. 628–635, 2017. View at Publisher · View at Google Scholar
  13. T. Huang, Q. Qi, Y. Li et al., “FTO genotype, dietary protein, and change in appetite: the preventing overweight using novel dietary strategies trial,” American Journal of Clinical Nutrition, vol. 99, no. 5, pp. 1126–1130, 2014. View at Publisher · View at Google Scholar · View at Scopus
  14. F. I. Milagro, J. Campion, P. Cordero et al., “A dual epigenomic approach for the search of obesity biomarkers: DNA methylation in relation to diet-induced weight loss,” Federation of American Societies for Experimental Biology Journal, vol. 25, no. 4, pp. 1378–1389, 2011. View at Publisher · View at Google Scholar · View at Scopus
  15. D. M. Minich and J. S. Bland, “Personalized lifestyle medicine: relevance for nutrition and lifestyle recommendations,” The Scientific World Journal, vol. 2013, Article ID 129841, 14 pages, 2013. View at Publisher · View at Google Scholar · View at Scopus
  16. L. Badimon, G. Vilahur, and T. Padro, “Systems biology approaches to understand the effects of nutrition and promote health,” British Journal of Clinical Pharmacology, vol. 83, no. 1, pp. 38–45, 2017. View at Publisher · View at Google Scholar
  17. R. Chen, G. I. Mias, J. Li-Pook-Than et al., “Personal omics profiling reveals dynamic molecular and medical phenotypes,” Cell, vol. 148, no. 6, pp. 1293–1307, 2012. View at Publisher · View at Google Scholar · View at Scopus
  18. L. Stanberry, G. I. Mias, W. Haynes, R. Higdon, M. Snyder, and E. Kolker, “Integrative analysis of longitudinal metabolomics data from a personal multi-omics profile,” Metabolites, vol. 3, no. 3, pp. 741–760, 2013. View at Publisher · View at Google Scholar
  19. C. Brotons, A. J. Drenthen, D. Durrer et al., “Beliefs and attitudes to lifestyle, nutrition and physical activity: the views of patients in Europe,” Family Practice, vol. 29, no. 1, pp. i49–i55, 2012. View at Publisher · View at Google Scholar · View at Scopus
  20. L. Hood and M. Flores, “A personal view on systems medicine and the emergence of proactive P4 medicine: predictive, preventive, personalized and participatory,” New Biotechnology, vol. 29, no. 6, pp. 613–624, 2012. View at Publisher · View at Google Scholar · View at Scopus
  21. M. Benham-Hutchins, N. Staggers, M. Mackert, A. H. Johnson, and D. de Bronkart, ““I want to know everything”: a qualitative study of perspectives from patients with chronic diseases on sharing health information during hospitalization,” BMC Health Services Research, vol. 17, no. 1, p. 529, 2017. View at Publisher · View at Google Scholar
  22. L. Chouchane, R. Mamtani, A. Dallol, and J. I. Sheikh, “Personalized medicine: a patient-centered paradigm,” Journal of Translational Medicine, vol. 9, no. 1, p. 206, 2011. View at Publisher · View at Google Scholar · View at Scopus
  23. G. Poste, “Bring on the biomarkers,” Nature, vol. 469, no. 7329, pp. 156-157, 2011. View at Publisher · View at Google Scholar · View at Scopus
  24. C. Murgia and M. M. Adamski, “Translation of nutritional genomics into nutrition practice: the next step,” Nutrients, vol. 9, no. 4, p. 366, 2017. View at Publisher · View at Google Scholar
  25. A. Cambiaghi, M. Ferrario, and M. Masseroli, “Analysis of metabolomic data: tools, current strategies and future challenges for omics data integration,” Briefings in Bioinformatics, vol. 18, no. 3, pp. 498–510, 2017. View at Publisher · View at Google Scholar
  26. M. Kussmann and J. Kaput, “Translational genomics,” Applied and Translational Genomics, vol. 3, no. 3, pp. 43–47, 2014. View at Publisher · View at Google Scholar · View at Scopus
  27. C. Gibbons, G. Bailador del Pozo, J. Andres et al., “Data-as-a-service platform for delivering healthy lifestyle and preventive medicine: concept and structure of the DAPHNE project,” JMIR Research Protocols, vol. 5, no. 4, p. e222, 2016. View at Publisher · View at Google Scholar
  28. L. Hood, J. C. Lovejoy, and N. D. Price, “Integrating big data and actionable health coaching to optimize wellness,” BMC Medicine, vol. 13, no. 1, p. 4, 2015. View at Publisher · View at Google Scholar · View at Scopus
  29. N. D. Price, A. T. Magis, J. C. Earls et al., “A wellness study of 108 individuals using personal, dense, dynamic data clouds,” Nature Biotechnology, vol. 35, no. 8, pp. 747–756, 2017. View at Publisher · View at Google Scholar
  30. L. R. Ferguson, R. De Caterina, U. Gorman et al., “Guide and position of the International Society of Nutrigenetics/Nutrigenomics on Personalised Nutrition: part 1-fields of precision nutrition,” Journal of Nutrigenetics and Nutrigenomics, vol. 9, no. 1, pp. 12–27, 2016. View at Publisher · View at Google Scholar · View at Scopus
  31. M. Kohlmeier, R. De Caterina, L. R. Ferguson et al., “Guide and position of the International Society of Nutrigenetics/Nutrigenomics on Personalized Nutrition: part 2-ethics, challenges and endeavors of precision nutrition,” Journal of Nutrigenetics and Nutrigenomics, vol. 9, no. 1, pp. 28–46, 2016. View at Publisher · View at Google Scholar · View at Scopus