Login
Communauté Vinci
Extérieur
Si votre nom d'utilisateur ne se termine pas par @vinci.be ou @student.vinci.be, utilisez le formulaire ci-dessous pour accéder à votre compte de lecteur.
Titre : | Postprandial Dried Blood SpotBased Nutritional Metabolomic Analysis Discriminates a High-Fat, High-Protein Meat-Based Diet from a High Carbohydrate Vegan Diet: A Randomized Controlled Crossover Trial (2021) |
Auteurs : | Megan McNairn ; Alex Brito ; Kayla Dillard ; Hannah Heath ; Matthew Pantaleon ; Rob Fanter ; Kari Pilolla ; Samir Amin ; Michael R. La Frano |
Type de document : | Article |
Dans : | Journal of the academy of nutrition and dietetics (Vol. 121, n° 5, May 2021) |
Article en page(s) : | p. 931-941.e2 |
Note générale : |
https://doi.org/10.1016/j.jand.2020.10.024 -
Under a Creative Commons |
Langues: | Anglais |
Descripteurs : |
HE Vinci Métabolomique ; Régime alimentaire ; Régime végétalien |
Mots-clés: | Biomarqueurs de la consommation alimentaire ; Métabolomique nutritionnelle ; Tache de sang séché ; Régime à base de viande |
Résumé : |
Background
Due to the challenges associated with accurate monitoring of dietary intake in humans, nutritional metabolomics (including food intake biomarkers) analysis as a complementary tool to traditional dietary assessment methods has been explored. Food intake biomarker assessment using postprandial dried blood spot (DBS) collection can be a convenient and accurate means of monitoring dietary intake vs 24-hour urine collection. Objective The objective of this study was to use nutritional metabolomics analysis to differentiate a high-fat, high-protein meat (HFPM) diet from a high-carbohydrate vegan (HCV) diet in postprandial DBS and 24-hour urine. Design This was a randomized controlled crossover feeding trial. Participants/setting Participants were healthy young adult volunteers (n = 8) in California. The study was completed in August 2019. Intervention The standardized isocaloric diet interventions included an HFPM and an HCV diet. Participants attended 2 intervention days, separated by a 2-week washout. Main outcome measures During each intervention day, a finger-prick blood sample was collected in the fasting state, 3 hours post breakfast, and 3 hours post lunch. Participants also collected their urine for 24 hours. DBS and urine samples were analyzed by ultra-performance liquid chromatography mass spectrometry to identify potential food intake biomarkers. Statistical analyses performed Principal component analysis for discriminatory analysis and univariate analysis using paired t tests were performed. Results Principal component analysis found no discrimination of baseline DBS samples. In both the postprandial DBS and 24-hour urine, post-HFPM consumption had higher (P Conclusions Nutritional metabolomics profiles of postprandial DBS and 24-hour urine collections were capable of differentiating the HFPM and HCV diets. The potential use of postprandial DBS-based metabolomic analysis deserves further investigation for dietary intake monitoring. |
Disponible en ligne : | Oui |
En ligne : | https://login.ezproxy.vinci.be/login?url=https://www.sciencedirect.com/science/article/pii/S2212267220314192#! |