» Articles » PMID: 30610881

Precision Medicine in Weight Loss and Healthy Living

Overview
Date 2019 Jan 6
PMID 30610881
Citations 16
Authors
Affiliations
Soon will be listed here.
Abstract

Obesity affects 600 million people globally and over one third of the American population. Along with associated comorbidities, including cardiovascular disease, stroke, diabetes, and cancer; the direct and indirect costs of managing obesity are 21% of the total medical costs. These factors shed light on why developing effective and pragmatic strategies to reduce body weight in obese individuals is a major public health concern. An estimated 60-70% of obese Americans attempt to lose weight each year, with only a small minority able to achieve and maintain long term weight loss. To address this issue a precision medicine approach for weight loss has been considered, which places an emphasis on sustainability and real-world application to individualized therapy. In this article we review weight loss interventions in the context of precision medicine and discuss the role of genetic and epigenetic factors, pharmacological interventions, lifestyle interventions, and bariatric surgery on weight loss.

Citing Articles

Testing a Personalized Behavioral Weight Loss Approach Using Multifactor Prescriptions and Self-Experimentation: 12-Week mHealth Pilot Randomized Controlled Trial Results.

Martinez C, Hatley K, Polzien K, Diamond M, Tate D Obes Sci Pract. 2025; 11(1):e70051.

PMID: 39911449 PMC: 11794237. DOI: 10.1002/osp4.70051.


Trends and Disparities in Diet Quality and Nutrient Intake among US Adults by Bodyweight Status.

Gu W, Yang Y, Wang L, Song Y, Yan X, Tian Z Nutrients. 2024; 16(16).

PMID: 39203929 PMC: 11357175. DOI: 10.3390/nu16162793.


Quercetin Regulates Lipid Metabolism and Fat Accumulation by Regulating Inflammatory Responses and Glycometabolism Pathways: A Review.

Wang Y, Li Z, He J, Zhao Y Nutrients. 2024; 16(8).

PMID: 38674793 PMC: 11053503. DOI: 10.3390/nu16081102.


A Predictive Tool Based on DNA Methylation Data for Personalized Weight Loss through Different Dietary Strategies: A Pilot Study.

Garcia-Alvarez N, Riezu-Boj J, Martinez J, Garcia-Calzon S, Milagro F Nutrients. 2023; 15(24).

PMID: 38140282 PMC: 10746100. DOI: 10.3390/nu15245023.


Patterns and Predictors of Engagement With Digital Self-Monitoring During the Maintenance Phase of a Behavioral Weight Loss Program: Quantitative Study.

Crane N, Hagerman C, Horgan O, Butryn M JMIR Mhealth Uhealth. 2023; 11:e45057.

PMID: 37463017 PMC: 10394603. DOI: 10.2196/45057.


References
1.
Tsai A, Wadden T . Systematic review: an evaluation of major commercial weight loss programs in the United States. Ann Intern Med. 2005; 142(1):56-66. DOI: 10.7326/0003-4819-142-1-200501040-00012. View

2.
Sturm R, Ringel J, Andreyeva T . Increasing obesity rates and disability trends. Health Aff (Millwood). 2004; 23(2):199-205. DOI: 10.1377/hlthaff.23.2.199. View

3.
English W, Williams D . Metabolic and Bariatric Surgery: An Effective Treatment Option for Obesity and Cardiovascular Disease. Prog Cardiovasc Dis. 2018; 61(2):253-269. DOI: 10.1016/j.pcad.2018.06.003. View

4.
Strasser B, Schobersberger W . Evidence for resistance training as a treatment therapy in obesity. J Obes. 2010; 2011. PMC: 2931407. DOI: 10.1155/2011/482564. View

5.
Heijmans B, Tobi E, Stein A, Putter H, Blauw G, Susser E . Persistent epigenetic differences associated with prenatal exposure to famine in humans. Proc Natl Acad Sci U S A. 2008; 105(44):17046-9. PMC: 2579375. DOI: 10.1073/pnas.0806560105. View