Literature DB >> 29433995

Precision nutrition for prevention and management of type 2 diabetes.

Dong D Wang1, Frank B Hu2.   

Abstract

Precision nutrition aims to prevent and manage chronic diseases by tailoring dietary interventions or recommendations to one or a combination of an individual's genetic background, metabolic profile, and environmental exposures. Recent advances in genomics, metabolomics, and gut microbiome technologies have offered opportunities as well as challenges in the use of precision nutrition to prevent and manage type 2 diabetes. Nutrigenomics studies have identified genetic variants that influence intake and metabolism of specific nutrients and predict individuals' variability in response to dietary interventions. Metabolomics has revealed metabolomic fingerprints of food and nutrient consumption and uncovered new metabolic pathways that are potentially modified by diet. Dietary interventions have been successful in altering abundance, composition, and activity of gut microbiota that are relevant for food metabolism and glycaemic control. In addition, mobile apps and wearable devices facilitate real-time assessment of dietary intake and provide feedback which can improve glycaemic control and diabetes management. By integrating these technologies with big data analytics, precision nutrition has the potential to provide personalised nutrition guidance for more effective prevention and management of type 2 diabetes. Despite these technological advances, much research is needed before precision nutrition can be widely used in clinical and public health settings. Currently, the field of precision nutrition faces challenges including a lack of robust and reproducible results, the high cost of omics technologies, and methodological issues in study design as well as high-dimensional data analyses and interpretation. Evidence is needed to support the efficacy, cost-effectiveness, and additional benefits of precision nutrition beyond traditional nutrition intervention approaches. Therefore, we should manage unrealistically high expectations and balance the emerging field of precision nutrition with public health nutrition strategies to improve diet quality and prevent type 2 diabetes and its complications.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Year:  2018        PMID: 29433995     DOI: 10.1016/S2213-8587(18)30037-8

Source DB:  PubMed          Journal:  Lancet Diabetes Endocrinol        ISSN: 2213-8587            Impact factor:   32.069


  52 in total

Review 1.  The Role of the Gut Microbiome in Predicting Response to Diet and the Development of Precision Nutrition Models-Part I: Overview of Current Methods.

Authors:  Riley L Hughes; Maria L Marco; James P Hughes; Nancy L Keim; Mary E Kable
Journal:  Adv Nutr       Date:  2019-11-01       Impact factor: 8.701

Review 2.  The Role of the Gut Microbiome in Predicting Response to Diet and the Development of Precision Nutrition Models. Part II: Results.

Authors:  Riley L Hughes; Mary E Kable; Maria Marco; Nancy L Keim
Journal:  Adv Nutr       Date:  2019-11-01       Impact factor: 8.701

Review 3.  Antioxidants in Personalized Nutrition and Exercise.

Authors:  Nikos V Margaritelis; Vassilis Paschalis; Anastasios A Theodorou; Antonios Kyparos; Michalis G Nikolaidis
Journal:  Adv Nutr       Date:  2018-11-01       Impact factor: 8.701

4.  Perspective: Are Large, Simple Trials the Solution for Nutrition Research?

Authors:  Ambika Satija; Meir J Stampfer; Eric B Rimm; Walter Willett; Frank B Hu
Journal:  Adv Nutr       Date:  2018-07-01       Impact factor: 8.701

Review 5.  Strengthening national nutrition research: rationale and options for a new coordinated federal research effort and authority.

Authors:  Sheila E Fleischhacker; Catherine E Woteki; Paul M Coates; Van S Hubbard; Grace E Flaherty; Daniel R Glickman; Thomas R Harkin; David Kessler; William W Li; Joseph Loscalzo; Anand Parekh; Sylvia Rowe; Patrick J Stover; Angie Tagtow; Anthony Joon Yun; Dariush Mozaffarian
Journal:  Am J Clin Nutr       Date:  2020-09-01       Impact factor: 7.045

Review 6.  Select Polyphenol-Rich Berry Consumption to Defer or Deter Diabetes and Diabetes-Related Complications.

Authors:  Ahsan Hameed; Mauro Galli; Edyta Adamska-Patruno; Adam Krętowski; Michal Ciborowski
Journal:  Nutrients       Date:  2020-08-21       Impact factor: 5.717

7.  Plant-Based Diets for Personal, Population, and Planetary Health.

Authors:  Elena C Hemler; Frank B Hu
Journal:  Adv Nutr       Date:  2019-11-01       Impact factor: 8.701

Review 8.  The Gastrointestinal Tract as Prime Site for Cardiometabolic Protection by Dietary Polyphenols.

Authors:  Jose A Villa-Rodriguez; Idolo Ifie; Gustavo A Gonzalez-Aguilar; Diana E Roopchand
Journal:  Adv Nutr       Date:  2019-11-01       Impact factor: 8.701

9.  Calcineurin Inhibitor Voclosporin Preserves Corneal Barrier and Conjunctival Goblet Cells in Experimental Dry Eye.

Authors:  Jehan Alam; Rodrigo G de Souza; Zhiyuan Yu; Michael E Stern; Cintia S de Paiva; Stephen C Pflugfelder
Journal:  J Ocul Pharmacol Ther       Date:  2020-07-23       Impact factor: 2.671

10.  Psychosocial information use for clinical decisions in diabetes care.

Authors:  Charles Senteio; Julia Adler-Milstein; Caroline Richardson; Tiffany Veinot
Journal:  J Am Med Inform Assoc       Date:  2019-08-01       Impact factor: 4.497

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