Literature DB >> 31928426

Precision (Personalized) Nutrition: Understanding Metabolic Heterogeneity.

Steven H Zeisel1.   

Abstract

People differ in their requirements for and responses to nutrients and bioactive molecules in the diet. Many inputs contribute to metabolic heterogeneity (including variations in genetics, epigenetics, microbiome, lifestyle, diet intake, and environmental exposure). Precision nutrition is not about developing unique prescriptions for individual people but rather about stratifying people into different subgroups of the population on the basis of biomarkers of the above-listed sources of metabolic variation and then using this stratification to better estimate the different subgroups' dietary requirements, thereby enabling better dietary recommendations and interventions. The hope is that we will be able to subcategorize people into ever-smaller groups that can be targeted in terms of recommendations, but we will never achieve this at the individual level, thus, the choice of precision nutrition rather than personalized nutrition to designate this new field. This review focuses mainly on genetically related sources of metabolic heterogeneity and identifies challenges that need to be overcome to achieve a full understanding of the complex interactions between the many sources of metabolic heterogeneity that make people differ from one another in their requirements for and responses to foods. It also discusses the commercial applications of precision nutrition.

Entities:  

Keywords:  environmental exposures; epigenetics; microbiome; personalized nutrigenetics; precision nutrition

Year:  2020        PMID: 31928426     DOI: 10.1146/annurev-food-032519-051736

Source DB:  PubMed          Journal:  Annu Rev Food Sci Technol        ISSN: 1941-1421


  15 in total

1.  Valuing the Diversity of Research Methods to Advance Nutrition Science.

Authors:  Richard D Mattes; Sylvia B Rowe; Sarah D Ohlhorst; Andrew W Brown; Daniel J Hoffman; DeAnn J Liska; Edith J M Feskens; Jaapna Dhillon; Katherine L Tucker; Leonard H Epstein; Lynnette M Neufeld; Michael Kelley; Naomi K Fukagawa; Roger A Sunde; Steven H Zeisel; Anthony J Basile; Laura E Borth; Emahlea Jackson
Journal:  Adv Nutr       Date:  2022-08-01       Impact factor: 11.567

2.  Nutrition state of science and dementia prevention: recommendations of the Nutrition for Dementia Prevention Working Group.

Authors:  Hussein N Yassine; Cécilia Samieri; Gill Livingston; Kimberly Glass; Maude Wagner; Christy Tangney; Brenda L Plassman; M Arfan Ikram; Robin M Voigt; Yian Gu; Sid O'Bryant; Anne Marie Minihane; Suzanne Craft; Howard A Fink; Suzanne Judd; Sandrine Andrieu; Gene L Bowman; Edo Richard; Benedict Albensi; Emily Meyers; Serly Khosravian; Michele Solis; Maria Carrillo; Heather Snyder; Francine Grodstein; Nikolaos Scarmeas; Lon S Schneider
Journal:  Lancet Healthy Longev       Date:  2022-07-04

3.  Multiomic Predictors of Short-Term Weight Loss and Clinical Outcomes During a Behavioral-Based Weight Loss Intervention.

Authors:  Janet C Siebert; Maggie A Stanislawski; Adnin Zaman; Danielle M Ostendorf; Iain R Konigsberg; Purevsuren Jambal; Diana Ir; Kristen Bing; Liza Wayland; Jared J Scorsone; Catherine A Lozupone; Carsten Görg; Daniel N Frank; Daniel Bessesen; Paul S MacLean; Edward L Melanson; Victoria A Catenacci; Sarah J Borengasser
Journal:  Obesity (Silver Spring)       Date:  2021-04-03       Impact factor: 5.002

4.  Differentially methylated regions (DMRs) in PON3 gene between responders and non-responders to a weight loss dietary intervention: a new tool for precision management of obesity.

Authors:  Francisca Salas-Pérez; Amanda Cuevas-Sierra; Marta Cuervo; Leticia Goni; Fermín I Milagro; J Alfredo Martínez; José Ignacio Riezu-Boj
Journal:  Epigenetics       Date:  2021-01-25       Impact factor: 4.528

Review 5.  Reframing anorexia nervosa as a metabo-psychiatric disorder.

Authors:  Cynthia M Bulik; Ian M Carroll; Phil Mehler
Journal:  Trends Endocrinol Metab       Date:  2021-08-20       Impact factor: 12.015

6.  Nutritional markers of undiagnosed type 2 diabetes in adults: Findings of a machine learning analysis with external validation and benchmarking.

Authors:  Kushan De Silva; Siew Lim; Aya Mousa; Helena Teede; Andrew Forbes; Ryan T Demmer; Daniel Jönsson; Joanne Enticott
Journal:  PLoS One       Date:  2021-05-05       Impact factor: 3.240

7.  What is the promise of personalised nutrition?

Authors:  Paola G Ferrario; Bernhard Watzl; Grith Møller; Christian Ritz
Journal:  J Nutr Sci       Date:  2021-04-06

Review 8.  Mechanistic Targets and Nutritionally Relevant Intervention Strategies to Break Obesity-Breast Cancer Links.

Authors:  Ximena M Bustamante-Marin; Jenna L Merlino; Emily Devericks; Meredith S Carson; Stephen D Hursting; Delisha A Stewart
Journal:  Front Endocrinol (Lausanne)       Date:  2021-03-17       Impact factor: 6.055

Review 9.  Multiomics Approach to Precision Sports Nutrition: Limits, Challenges, and Possibilities.

Authors:  David C Nieman
Journal:  Front Nutr       Date:  2021-12-14

10.  Polyunsaturated fatty acids, specialized pro-resolving mediators, and targeting inflammation resolution in the age of precision nutrition.

Authors:  Abrar E Al-Shaer; Nicole Buddenbaum; Saame Raza Shaikh
Journal:  Biochim Biophys Acta Mol Cell Biol Lipids       Date:  2021-03-29       Impact factor: 5.228

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