A Systems Medicine Approach: Translating Emerging Science into Individualized Wellness

In today's aging society, more people are living with lifestyle-related noncommunicable diseases (NCDs) such as cardiovascular disease, type 2 diabetes, obesity, and cancer. Numerous opinion-leader organizations recommend lifestyle medicine as the first-line approach in NCD prevention and treatment. However, there is a strong need for a personalized approach as “one-size-fits-all” public health recommendations have been insufficient in addressing the interindividual differences in the diverse populations. Advancement in systems biology and the “omics” technologies has allowed comprehensive analysis of how complex biological systems are impacted upon external perturbations (e.g., nutrition and exercise), and therefore is gradually pushing personalized lifestyle medicine toward reality. Clinicians and healthcare practitioners have a unique opportunity in advocating lifestyle medicine because patients see them as a reliable source of advice. However, there are still numerous technical and logistic challenges to overcome before personal “big data” can be translated into actionable and clinically relevant solutions. Clinicians are also facing various issues prior to bringing personalized lifestyle medicine to their practice. Nevertheless, emerging ground-breaking research projects have given us a glimpse of how systems thinking and computational methods may lead to personalized health advice. It is important that all stakeholders work together to create the needed paradigm shift in healthcare before the rising epidemic of NCDs overwhelm the society, the economy, and the dated health system.

[1]  Elizabeth L. Barry,et al.  Vitamin D Receptor Genotype, Vitamin D3 Supplementation, and Risk of Colorectal Adenomas: A Randomized Clinical Trial , 2017, JAMA oncology.

[2]  E. Segal,et al.  Personalized Nutrition by Prediction of Glycemic Responses , 2015, Cell.

[3]  G. Poste Bring on the biomarkers , 2011, Nature.

[4]  Winston Haynes,et al.  Integrative Analysis of Longitudinal Metabolomics Data from a Personal Multi-Omics Profile , 2013, Metabolites.

[5]  C. Murgia,et al.  Translation of Nutritional Genomics into Nutrition Practice: The Next Step , 2017, Nutrients.

[6]  Philadelphia Veterans,et al.  From Sick Care to Health Care — Reengineering Prevention into the U.S. System , 2012 .

[7]  Nancy Staggers,et al.  “I want to know everything”: a qualitative study of perspectives from patients with chronic diseases on sharing health information during hospitalization , 2017, BMC Health Services Research.

[8]  F. Milagro,et al.  A dual epigenomic approach for the search of obesity biomarkers: DNA methylation in relation to diet‐induced weight loss , 2011, FASEB journal : official publication of the Federation of American Societies for Experimental Biology.

[9]  D. Lloyd‐Jones,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 Americ , 2015, Mayo Clinic proceedings.

[10]  J. Martínez,et al.  Guide and Position of the International Society of Nutrigenetics/Nutrigenomics on Personalized Nutrition: Part 2 - Ethics, Challenges and Endeavors of Precision Nutrition , 2016, Lifestyle Genomics.

[11]  John C. Earls,et al.  A wellness study of 108 individuals using personal, dense, dynamic data clouds , 2017, Nature Biotechnology.

[12]  L. Hood,et al.  A personal view on systems medicine and the emergence of proactive P4 medicine: predictive, preventive, personalized and participatory. , 2012, New biotechnology.

[13]  F. Hu,et al.  FTO genotype, dietary protein, and change in appetite: the Preventing Overweight Using Novel Dietary Strategies trial. , 2014, The American journal of clinical nutrition.

[14]  F Xavier Pi-Sunyer,et al.  Dietary carbohydrate (amount and type) in the prevention and management of diabetes: a statement by the american diabetes association. , 2004, Diabetes care.

[15]  Cecilia Noecker,et al.  Getting Personal About Nutrition. , 2016, Trends in molecular medicine.

[16]  D. Durrer,et al.  Beliefs and attitudes to lifestyle, nutrition and physical activity: the views of patients in Europe. , 2012, Family practice.

[17]  Hugo Y. K. Lam,et al.  Personal Omics Profiling Reveals Dynamic Molecular and Medical Phenotypes , 2012, Cell.

[18]  Gemma Vilahur,et al.  Systems biology approaches to understand the effects of nutrition and promote health. , 2017, British journal of clinical pharmacology.

[19]  Marco Masseroli,et al.  Analysis of metabolomic data: tools, current strategies and future challenges for omics data integration , 2016, Briefings Bioinform..

[20]  Charles N. Serhan,et al.  Guide and Position of the International Society of Nutrigenetics/Nutrigenomics on Personalised Nutrition: Part 1 - Fields of Precision Nutrition. , 2016, Journal of nutrigenetics and nutrigenomics.

[21]  Lotfi Chouchane,et al.  Personalized medicine: a patient - centered paradigm , 2011, Journal of Translational Medicine.

[22]  D. Bunout,et al.  Variability of glycemic and insulin response to a standard meal, within and between healthy subjects. , 2013, Nutricion hospitalaria.

[23]  Leroy Hood,et al.  Integrating big data and actionable health coaching to optimize wellness , 2015, BMC Medicine.

[24]  D. Jacobs,et al.  Food synergy: an operational concept for understanding nutrition. , 2009, The American journal of clinical nutrition.

[25]  Gavin Doherty,et al.  Data-as-a-Service Platform for Delivering Healthy Lifestyle and Preventive Medicine: Concept and Structure of the DAPHNE Project , 2016, JMIR research protocols.

[26]  Erkki Vartiainen,et al.  Lifestyle as Medicine: The Case for a True Health Initiative , 2018, American journal of health promotion : AJHP.

[27]  M. Kussmann,et al.  Translational genomics , 2014, Applied & translational genomics.

[28]  Ross A. Hammond,et al.  Advancing the Science of Dietary Patterns Research to Leverage a Complex Systems Approach. , 2017, Journal of the Academy of Nutrition and Dietetics.

[29]  J. Bland,et al.  Personalized Lifestyle Medicine: Relevance for Nutrition and Lifestyle Recommendations , 2013, TheScientificWorldJournal.