Literature DB >> 26962191

Future Perspectives of Personalized Weight Loss Interventions Based on Nutrigenetic, Epigenetic, and Metagenomic Data.

Leticia Goni1, Marta Cuervo2, Fermín I Milagro3, J Alfredo Martínez4.   

Abstract

As obesity has become a major global public health challenge, a large number of studies have analyzed different strategies aimed at inducing a negative energy balance and, consequently, body weight loss. However, most existing weight loss programs are generally unsuccessful, so several interventions have been carried out to identify physiologic and behavioral factors concerning this variability in order to implement more personalized treatment. Nowadays, an individualized approach is being proposed through so-called personalized nutrition, whereby not only the phenotype but also the genotype is used for customized nutrition treatment. Regarding body weight regulation, ∼70 polymorphisms have been identified in or near genes related to energy expenditure, appetite, adipogenesis, insulin resistance, and lipid metabolism. Although personalized nutrition refers mainly to genetic makeup, recent advances in the investigation of the epigenome and the microbiome open the door to implement more personalized recommendations for body weight management. In this context, recent studies have demonstrated the existence of several epigenetic markers that may modify gene expression and could be involved in the outcome of weight loss interventions. Moreover, different studies have shown that dietary interventions could affect the composition of gut microbiota and have an impact on body weight. The integration of nutrigenetic, epigenetic, and metagenomic data may lead to the design of more personalized dietary treatments to prevent chronic diseases and to optimize the individual's response to dietary interventions.
© 2016 American Society for Nutrition.

Entities:  

Keywords:  epigenetics; gut microbiota; nutrigenetics; obesity; personalized nutrition

Year:  2016        PMID: 26962191     DOI: 10.3945/jn.115.218354

Source DB:  PubMed          Journal:  J Nutr        ISSN: 0022-3166            Impact factor:   4.798


  21 in total

1.  Adherence to Mediterranean diet is associated with methylation changes in inflammation-related genes in peripheral blood cells.

Authors:  A Arpón; J I Riezu-Boj; F I Milagro; A Marti; C Razquin; M A Martínez-González; D Corella; R Estruch; R Casas; M Fitó; E Ros; J Salas-Salvadó; J A Martínez
Journal:  J Physiol Biochem       Date:  2017-02-08       Impact factor: 4.158

Review 2.  Endoplasmic reticulum stress epigenetics is related to adiposity, dyslipidemia, and insulin resistance.

Authors:  Omar Ramos-Lopez; Jose I Riezu-Boj; Fermin I Milagro; Maria J Moreno-Aliaga; J Alfredo Martinez
Journal:  Adipocyte       Date:  2018-03-23       Impact factor: 4.534

3.  Nutrigenomic Information in the openEHR Data Set.

Authors:  Priscila Alves Maranhão; Gustavo Marísio Bacelar-Silva; Duarte Nuno Gonçalves Ferreira; Conceição Calhau; Pedro Vieira-Marques; Ricardo João Cruz-Correia
Journal:  Appl Clin Inform       Date:  2018-03-28       Impact factor: 2.342

4.  Effect of Low-Fat vs Low-Carbohydrate Diet on 12-Month Weight Loss in Overweight Adults and the Association With Genotype Pattern or Insulin Secretion: The DIETFITS Randomized Clinical Trial.

Authors:  Christopher D Gardner; John F Trepanowski; Liana C Del Gobbo; Michelle E Hauser; Joseph Rigdon; John P A Ioannidis; Manisha Desai; Abby C King
Journal:  JAMA       Date:  2018-02-20       Impact factor: 56.272

5.  Impact of Consuming Extra-Virgin Olive Oil or Nuts within a Mediterranean Diet on DNA Methylation in Peripheral White Blood Cells within the PREDIMED-Navarra Randomized Controlled Trial: A Role for Dietary Lipids.

Authors:  Ana Arpón; Fermín I Milagro; Cristina Razquin; Dolores Corella; Ramón Estruch; Montserrat Fitó; Amelia Marti; Miguel A Martínez-González; Emilio Ros; Jordi Salas-Salvadó; José-Ignacio Riezu-Boj; J Alfredo Martínez
Journal:  Nutrients       Date:  2017-12-23       Impact factor: 5.717

6.  Phenotype and genotype predictors of BMI variability among European adults.

Authors:  Leticia Goni; Marta García-Granero; Fermín I Milagro; Marta Cuervo; J Alfredo Martínez
Journal:  Nutr Diabetes       Date:  2018-05-24       Impact factor: 5.097

7.  Interaction between an ADCY3 Genetic Variant and Two Weight-Lowering Diets Affecting Body Fatness and Body Composition Outcomes Depending on Macronutrient Distribution: A Randomized Trial.

Authors:  Leticia Goni; Jose Ignacio Riezu-Boj; Fermín I Milagro; Fernando J Corrales; Lourdes Ortiz; Marta Cuervo; J Alfredo Martínez
Journal:  Nutrients       Date:  2018-06-19       Impact factor: 5.717

Review 8.  Tissue and circulating microRNAs as biomarkers of response to obesity treatment strategies.

Authors:  G Catanzaro; T Filardi; C Sabato; A Vacca; S Migliaccio; S Morano; E Ferretti
Journal:  J Endocrinol Invest       Date:  2020-10-28       Impact factor: 4.256

9.  PPARG2 Pro12Ala polymorphism influences body composition changes in severely obese patients consuming extra virgin olive oil: a randomized clinical trial.

Authors:  Ana Paula Santos Rodrigues; Lorena Pereira Souza Rosa; Erika Aparecida Silveira
Journal:  Nutr Metab (Lond)       Date:  2018-07-17       Impact factor: 4.169

10.  Implication of miR-612 and miR-1976 in the regulation of TP53 and CD40 and their relationship in the response to specific weight-loss diets.

Authors:  Marcos Garcia-Lacarte; J Alfredo Martinez; M Angeles Zulet; Fermin I Milagro
Journal:  PLoS One       Date:  2018-08-08       Impact factor: 3.240

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