TY - JOUR
T1 - Postprandial Dried Blood Spot–Based Nutritional Metabolomic Analysis Discriminates a High-Fat, High-Protein Meat-Based Diet from a High Carbohydrate Vegan Diet
T2 - A Randomized Controlled Crossover Trial
AU - McNairn, Megan
AU - Brito, Alex
AU - Dillard, Kayla
AU - Heath, Hannah
AU - Pantaleon, Matthew
AU - Fanter, Rob
AU - Pilolla, Kari
AU - Amin, Samir
AU - La Frano, Michael R.
N1 - Funding Information:
FUNDING/SUPPORT Supported by the California Polytechnic State University College of Agriculture, Food, and Environmental Sciences Summer Undergraduate Research Program.
Publisher Copyright:
© 2021 Academy of Nutrition and Dietetics
PY - 2021/5
Y1 - 2021/5
N2 - 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 < 0.05) levels of acylcarnitines, creatine, and cis-trans hydroxyproline, and the HCV diet was associated with elevated sorbitol (P < 0.05). The HFPM diet had higher concentrations of triacylglycerols with fewer than 54 total carbons in DBS, and 24-hour urine had higher nucleoside mono- and di-phosphates (P < 0.05). 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.
AB - 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 < 0.05) levels of acylcarnitines, creatine, and cis-trans hydroxyproline, and the HCV diet was associated with elevated sorbitol (P < 0.05). The HFPM diet had higher concentrations of triacylglycerols with fewer than 54 total carbons in DBS, and 24-hour urine had higher nucleoside mono- and di-phosphates (P < 0.05). 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.
KW - Dried blood spot
KW - Food intake biomarkers
KW - Meat-based diet
KW - Nutritional metabolomics
KW - Vegan-based diet
UR - http://www.scopus.com/inward/record.url?scp=85097081637&partnerID=8YFLogxK
UR - https://www.ncbi.nlm.nih.gov/pubmed/33279463
U2 - 10.1016/j.jand.2020.10.024
DO - 10.1016/j.jand.2020.10.024
M3 - Article
C2 - 33279463
AN - SCOPUS:85097081637
SN - 2212-2672
VL - 121
SP - 931-941.e2
JO - Journal of the Academy of Nutrition and Dietetics
JF - Journal of the Academy of Nutrition and Dietetics
IS - 5
ER -