Nutrimetabolomics reveals food-specific compounds in urine of adults consuming a DASH-style diet.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
24 01 2020
Historique:
received: 01 11 2019
accepted: 08 01 2020
entrez: 26 1 2020
pubmed: 26 1 2020
medline: 13 11 2020
Statut: epublish

Résumé

Although health benefits of the Dietary Approaches to Stop Hypertension (DASH) diet are established, it is not understood which food compounds result in these benefits. We used metabolomics to identify unique compounds from individual foods of a DASH-style diet and determined if these Food-Specific Compounds (FSC) are detectable in urine from participants in a DASH-style dietary study. We also examined relationships between urinary compounds and blood pressure (BP). Nineteen subjects were randomized into 6-week controlled DASH-style diet interventions. Mass spectrometry-based metabolomics was performed on 24-hour urine samples collected before and after each intervention and on 12 representative DASH-style foods. Between 66-969 compounds were catalogued as FSC; for example, 4-hydroxydiphenylamine was found to be unique to apple. Overall, 13-190 of these FSC were detected in urine, demonstrating that these unmetabolized food compounds can be discovered in urine using metabolomics. Although linear mixed effects models showed no FSC from the 12 profiled foods were significantly associated with BP, other endogenous and food-related compounds were associated with BP (N = 16) and changes in BP over time (N = 6). Overall, this proof of principle study demonstrates that metabolomics can be used to catalog FSC, which can be detected in participant urine following a dietary intervention.

Identifiants

pubmed: 31980691
doi: 10.1038/s41598-020-57979-8
pii: 10.1038/s41598-020-57979-8
pmc: PMC6981146
doi:

Substances chimiques

Dietary Proteins 0
Organic Chemicals 0

Types de publication

Comparative Study Journal Article Randomized Controlled Trial Research Support, N.I.H., Extramural Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

1157

Subventions

Organisme : NIDDK NIH HHS
ID : P30 DK048520
Pays : United States
Organisme : NIDDK NIH HHS
ID : R01 DK113957
Pays : United States
Organisme : NIH HHS
ID : S10 OD010366
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR001108
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR001082
Pays : United States

Références

Claus, S. P. Development of personalized functional foods needs metabolic profiling. Curr. Opin. Clin. Nutr. Metab. care 17, 567–573, https://doi.org/10.1097/MCO.0000000000000107 (2014).
doi: 10.1097/MCO.0000000000000107 pubmed: 25137506
Bouchard-Mercier, A., Rudkowska, I., Lemieux, S., Couture, P. & Vohl, M. C. The metabolic signature associated with the Western dietary pattern: a cross-sectional study. Nutr. J. 12, 158, https://doi.org/10.1186/1475-2891-12-158 (2013).
doi: 10.1186/1475-2891-12-158 pubmed: 24330454 pmcid: 3874609
Rebholz, C. M., Lichtenstein, A. H., Zheng, Z., Appel, L. J. & Coresh, J. Serum untargeted metabolomic profile of the Dietary Approaches to Stop Hypertension (DASH) dietary pattern. Am. J. Clin. Nutr. 108, 243–255, https://doi.org/10.1093/ajcn/nqy099 (2018).
doi: 10.1093/ajcn/nqy099 pubmed: 29917038 pmcid: 6669331
Acar, E. et al. Biomarkers of Individual Foods, and Separation of Diets Using Untargeted LC-MS-based Plasma Metabolomics in a Randomized Controlled Trial. Mol Nutr Food Res, e1800215, https://doi.org/10.1002/mnfr.201800215 (2018).
doi: 10.1002/mnfr.201800215
Ulaszewska, M. M. et al. Nutrimetabolomics: An Integrative Action for Metabolomic Analyses in Human Nutritional Studies. Mol. Nutr. Food Res. 63, e1800384, https://doi.org/10.1002/mnfr.201800384 (2019).
doi: 10.1002/mnfr.201800384 pubmed: 30176196
Gordon-Dseagu, V. L. Z. et al. The association of sleep with metabolic pathways and metabolites: evidence from the Dietary Approaches to Stop Hypertension (DASH)-sodium feeding study. Metabolomics 15, 48, https://doi.org/10.1007/s11306-019-1472-y (2019).
doi: 10.1007/s11306-019-1472-y pubmed: 30879189
Lenz, E. M. et al. Metabonomics, dietary influences and cultural differences: a 1H NMR-based study of urine samples obtained from healthy British and Swedish subjects. J. Pharm. Biomed. Anal. 36, 841–849, https://doi.org/10.1016/j.jpba.2004.08.002 (2004).
doi: 10.1016/j.jpba.2004.08.002 pubmed: 15533678
Stella, C. et al. Susceptibility of human metabolic phenotypes to dietary modulation. J. Proteome Res. 5, 2780–2788, https://doi.org/10.1021/pr060265y (2006).
doi: 10.1021/pr060265y pubmed: 17022649
Pratico, G. et al. Guidelines for Biomarker of Food Intake Reviews (BFIRev): how to conduct an extensive literature search for biomarker of food intake discovery. Genes. Nutr. 13, 3, https://doi.org/10.1186/s12263-018-0592-8 (2018).
doi: 10.1186/s12263-018-0592-8 pubmed: 29484030 pmcid: 5819202
Gao, Q. et al. A scheme for a flexible classification of dietary and health biomarkers. Genes. Nutr. 12, 34, https://doi.org/10.1186/s12263-017-0587-x (2017).
doi: 10.1186/s12263-017-0587-x pubmed: 29255495 pmcid: 5728065
Sayer, R. D., Wright, A. J., Chen, N. & Campbell, W. W. Dietary Approaches to Stop Hypertension diet retains effectiveness to reduce blood pressure when lean pork is substituted for chicken and fish as the predominant source of protein. Am. J. Clin. Nutr. 102, 302–308, https://doi.org/10.3945/ajcn.115.111757 (2015).
doi: 10.3945/ajcn.115.111757 pubmed: 26063693 pmcid: 4515871
Yang, Y. et al. New sample preparation approach for mass spectrometry-based profiling of plasma results in improved coverage of metabolome. J. Chromatogr. A 1300, 217–226, https://doi.org/10.1016/j.chroma.2013.04.030 (2013).
doi: 10.1016/j.chroma.2013.04.030 pubmed: 23672979 pmcid: 3734953
Cruickshank-Quinn, C. I. et al. Transient and persistent metabolomic changes in plasma following chronic cigarette smoke exposure in a mouse model. PLoS One 9, e101855, https://doi.org/10.1371/journal.pone.0101855 (2014).
doi: 10.1371/journal.pone.0101855 pubmed: 25007263 pmcid: 4090193
Gagnebin, Y. et al. Metabolomic analysis of urine samples by UHPLC-QTOF-MS: Impact of normalization strategies. Anal. Chim. Acta 955, 27–35, https://doi.org/10.1016/j.aca.2016.12.029 (2017).
doi: 10.1016/j.aca.2016.12.029 pubmed: 28088278
Sumner, L. W. et al. Proposed Minimum Reporting Standards for Chemical Analysis: Chemical Analysis Working Group (CAWG) Metabolomics Standards Initiative (MSI). (Metabolomics Society, 2007).
Yang, X., Neta, P. & Stein, S. E. Quality Control for Building Libraries from Electrospray Ionization Tandem Mass Spectra. Anal. Chem. 86, 6393–6400, https://doi.org/10.1021/ac500711m (2014).
doi: 10.1021/ac500711m pubmed: 24896981
Shen, H., Dührkop, K., Böcker, S. & Rousu, J. J. B. Metabolite identification through multiple kernel learning on fragmentation trees. 30, i157-i164 (2014).
Djoumbou-Feunang, Y. et al. BioTransformer: a comprehensive computational tool for small molecule metabolism prediction and metabolite identification. J. Cheminform 11, 2, https://doi.org/10.1186/s13321-018-0324-5 (2019).
doi: 10.1186/s13321-018-0324-5 pubmed: 30612223 pmcid: 6689873
Wang, M. et al. Sharing and community curation of mass spectrometry data with Global Natural Products Social Molecular Networking. Nat. Biotechnol. 34, 828–837, https://doi.org/10.1038/nbt.3597 (2016).
doi: 10.1038/nbt.3597 pubmed: 27504778 pmcid: 5321674
Mattheis, J. P. & Rudell, D. R. Diphenylamine metabolism in ‘braeburn’ apples stored under conditions conducive to the development of internal browning. J. Agric. Food Chem. 56, 3381–3385, https://doi.org/10.1021/jf703768w (2008).
doi: 10.1021/jf703768w pubmed: 18380463
Yihui, G. et al. Characterization of laccase from apple fruit during postharvest storage and its response to diphenylamine and 1-methylcyclopropene treatments. Food Chem. 253, 314–321, https://doi.org/10.1016/j.foodchem.2018.01.142 (2018).
doi: 10.1016/j.foodchem.2018.01.142 pubmed: 29502838

Auteurs

Nichole A Reisdorph (NA)

Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, 12850 East Montview Boulevard, Aurora, CO, 80045, USA. Nichole.Reisdorph@CUAnschutz.edu.

Audrey E Hendricks (AE)

Mathematical and Statistical Sciences, University of Colorado Denver, Denver, Colorado, USA.

Minghua Tang (M)

Department of Pediatrics, Section of Nutrition, University of Colorado Anschutz Medical Campus, 12700 E 19th Avenue, Aurora, CO, 80045, USA.

Katrina A Doenges (KA)

Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, 12850 East Montview Boulevard, Aurora, CO, 80045, USA.

Richard M Reisdorph (RM)

Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, 12850 East Montview Boulevard, Aurora, CO, 80045, USA.

Brian C Tooker (BC)

Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, 12850 East Montview Boulevard, Aurora, CO, 80045, USA.

Kevin Quinn (K)

Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, 12850 East Montview Boulevard, Aurora, CO, 80045, USA.

Sarah J Borengasser (SJ)

Department of Pediatrics, Section of Nutrition, University of Colorado Anschutz Medical Campus, 12700 E 19th Avenue, Aurora, CO, 80045, USA.

Yasmeen Nkrumah-Elie (Y)

Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, 12850 East Montview Boulevard, Aurora, CO, 80045, USA.

Daniel N Frank (DN)

Department of Medicine, Division of Infectious Diseases, University of Colorado Anschutz Medical Campus, 12700 E. 19th Ave, Aurora, CO, 80045, USA.

Wayne W Campbell (WW)

Department of Nutrition Science, Purdue University, 700 West State Street, West Lafayette, IN, 47907, USA.

Nancy F Krebs (NF)

Department of Pediatrics, Section of Nutrition, University of Colorado Anschutz Medical Campus, 12700 E 19th Avenue, Aurora, CO, 80045, USA.

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