Personalized nutrition and classification of metabolic types based on genetics, epigenetics and gut microbiota

Autor(en)
Stephanie Lilja, Diana Saskia Franziska Gessner, christina Schnitzler, Nicola Stephanou-Rieser, Claudia Nichterl, Angelika Pointner, Elena Tomeva, Marlene Remely, Alexander Haslberger
Abstrakt

Humans vary in their need and response to diet. Genetic dispositions,
such as single nucleotide polymorphisms (SNPs) are
frequently used for clustering consumers in metabolic types
(metabotypes), according to individual characteristics of energy
extraction from food or risk for metabolic diseases. Results are
then used for individualized concepts for weight management
or weight loss. However, SNPs explain only a minor part of metabolic
variability whereas epigenetic regulation of metabolic
enzymes, GI microbiota and lifestyle are of ample importance.
In a pilot study enrolling 37participants under nutritional advice
we analyzed results from a panel of SNPs, epigenetic markers
and microbiota as well as food frequency questionnaires. The
results of this study clearly indicate that epigenetic and microbiota
markers need to be integrated in the definition of metabotypes.
Such improved metabotypes may then enable an
improved guidance for a personalized nutrition.

Organisation(en)
Department für Ernährungswissenschaften
Externe Organisation(en)
TCM Ernährungsberatung Christina Schnitzler, essen:z ernährung + beratung e.U.
Journal
Journal für Ernährungsmedizin
ISSN
1563-2873
Publikationsdatum
2017
Peer-reviewed
Ja
ÖFOS 2012
303009 Ernährungswissenschaften
Link zum Portal
https://ucris.univie.ac.at/portal/de/publications/personalized-nutrition-and-classification-of-metabolic-types-based-on-genetics-epigenetics-and-gut-microbiota(6fe8c339-02e8-4889-b979-c022434baab0).html