Discovery and validation of banana intake biomarkers using untargeted metabolomics in human intervention and cross-sectional studies

Research output: Contribution to journalJournal articleResearchpeer-review

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Discovery and validation of banana intake biomarkers using untargeted metabolomics in human intervention and cross-sectional studies. / Vázquez Manjarrez, Natalia; Weinert, Christoph H; Ulaszewska, Maria M; Mack, Carina I; Micheau, Pierre; Pétéra, Mélanie; Durand, Stephanie; Pujos-Guillot, Estelle; Egert, Björn; Mattivi, Fulvio; Bub, Achim; Dragsted, Lars Ove; Kulling, Sabine E; Manach, Claudine.

In: Journal of Nutrition, Vol. 149, No. 10, 2019, p. 1701-1713.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Vázquez Manjarrez, N, Weinert, CH, Ulaszewska, MM, Mack, CI, Micheau, P, Pétéra, M, Durand, S, Pujos-Guillot, E, Egert, B, Mattivi, F, Bub, A, Dragsted, LO, Kulling, SE & Manach, C 2019, 'Discovery and validation of banana intake biomarkers using untargeted metabolomics in human intervention and cross-sectional studies', Journal of Nutrition, vol. 149, no. 10, pp. 1701-1713. https://doi.org/10.1093/jn/nxz125

APA

Vázquez Manjarrez, N., Weinert, C. H., Ulaszewska, M. M., Mack, C. I., Micheau, P., Pétéra, M., ... Manach, C. (2019). Discovery and validation of banana intake biomarkers using untargeted metabolomics in human intervention and cross-sectional studies. Journal of Nutrition, 149(10), 1701-1713. https://doi.org/10.1093/jn/nxz125

Vancouver

Vázquez Manjarrez N, Weinert CH, Ulaszewska MM, Mack CI, Micheau P, Pétéra M et al. Discovery and validation of banana intake biomarkers using untargeted metabolomics in human intervention and cross-sectional studies. Journal of Nutrition. 2019;149(10):1701-1713. https://doi.org/10.1093/jn/nxz125

Author

Vázquez Manjarrez, Natalia ; Weinert, Christoph H ; Ulaszewska, Maria M ; Mack, Carina I ; Micheau, Pierre ; Pétéra, Mélanie ; Durand, Stephanie ; Pujos-Guillot, Estelle ; Egert, Björn ; Mattivi, Fulvio ; Bub, Achim ; Dragsted, Lars Ove ; Kulling, Sabine E ; Manach, Claudine. / Discovery and validation of banana intake biomarkers using untargeted metabolomics in human intervention and cross-sectional studies. In: Journal of Nutrition. 2019 ; Vol. 149, No. 10. pp. 1701-1713.

Bibtex

@article{2196e4c772104f6fa9b2119663e8bf88,
title = "Discovery and validation of banana intake biomarkers using untargeted metabolomics in human intervention and cross-sectional studies",
abstract = "Background: Banana is one of the most widely consumed fruits in the world. However, information regarding its health effects is scarce. Biomarkers of banana intake would allow a more accurate assessment of its consumption in nutrition studies.Objectives: Using an untargeted metabolomics approach, we aimed to identify the banana-derived metabolites present in urine after consumption, including new candidate biomarkers of banana intake.Methods: A randomized controlled study with a crossover design was performed on 12 healthy subjects (6 men, 6 women, mean ± SD age: 30.0 ± 4.9 y; mean ± SD BMI: 22.5 ± 2.3 kg/m2). Subjects underwent 2 dietary interventions: 1) 250 mL control drink (Fresubin 2 kcal fiber, neutral flavor; Fresenius Kabi), and 2) 240 g banana + 150 mL control drink. Twenty-four-hour urine samples were collected and analyzed with ultra-performance liquid chromatography coupled to a quadrupole time-of-flight MS and 2-dimensional GC-MS. The discovered biomarkers were confirmed in a cross-sectional study [KarMeN (Karlsruhe Metabolomics and Nutrition study)] in which 78 subjects (mean BMI: 22.8; mean age: 47 y) were selected reflecting high intake (126-378 g/d), low intake (47.3-94.5 g/d), and nonconsumption of banana. The confirmed biomarkers were examined singly or in combinations, for established criteria of validation for biomarkers of food intake.Results: We identified 33 potentially bioactive banana metabolites, of which 5 metabolites, methoxyeugenol glucuronide (MEUG-GLUC), dopamine sulfate (DOP-S), salsolinol sulfate, xanthurenic acid, and 6-hydroxy-1-methyl-1,2,3,4-tetrahydro-β-carboline sulfate, were confirmed as candidate intake biomarkers. We demonstrated that the combination of MEUG-GLUC and DOP-S performed best in predicting banana intake in high (AUCtest = 0.92) and low (AUCtest = 0.87) consumers. The new biomarkers met key criteria establishing their current applicability in nutrition and health research for assessing the occurrence of banana intake.Conclusions: Our metabolomics study in healthy men and women revealed new putative bioactive metabolites of banana and a combined biomarker of intake. These findings will help to better decipher the health effects of banana in future focused studies. This study was registered at clinicaltrials.gov as NCT03581955 and with the Ethical Committee for the Protection of Human Subjects Sud-Est 6 as CPP AU 1251, IDRCB 2016-A0013-48; the KarMeN study was registered with the German Clinical Trials Register (DRKS00004890). Details about the study can be obtained from https://www.drks.de.",
keywords = "The Faculty of Science, Banana, Biomarkers of intake, Dietary assessment, Dopamine, Salsolinol, Methoxyeugenol, Tetrahydro-β-carbolines, Untargeted, Nutrimetabolomics",
author = "{V{\'a}zquez Manjarrez}, Natalia and Weinert, {Christoph H} and Ulaszewska, {Maria M} and Mack, {Carina I} and Pierre Micheau and M{\'e}lanie P{\'e}t{\'e}ra and Stephanie Durand and Estelle Pujos-Guillot and Bj{\"o}rn Egert and Fulvio Mattivi and Achim Bub and Dragsted, {Lars Ove} and Kulling, {Sabine E} and Claudine Manach",
note = "Copyright {\circledC} American Society for Nutrition 2019.",
year = "2019",
doi = "10.1093/jn/nxz125",
language = "English",
volume = "149",
pages = "1701--1713",
journal = "Journal of Nutrition",
issn = "0022-3166",
publisher = "American Society for Nutrition",
number = "10",

}

RIS

TY - JOUR

T1 - Discovery and validation of banana intake biomarkers using untargeted metabolomics in human intervention and cross-sectional studies

AU - Vázquez Manjarrez, Natalia

AU - Weinert, Christoph H

AU - Ulaszewska, Maria M

AU - Mack, Carina I

AU - Micheau, Pierre

AU - Pétéra, Mélanie

AU - Durand, Stephanie

AU - Pujos-Guillot, Estelle

AU - Egert, Björn

AU - Mattivi, Fulvio

AU - Bub, Achim

AU - Dragsted, Lars Ove

AU - Kulling, Sabine E

AU - Manach, Claudine

N1 - Copyright © American Society for Nutrition 2019.

PY - 2019

Y1 - 2019

N2 - Background: Banana is one of the most widely consumed fruits in the world. However, information regarding its health effects is scarce. Biomarkers of banana intake would allow a more accurate assessment of its consumption in nutrition studies.Objectives: Using an untargeted metabolomics approach, we aimed to identify the banana-derived metabolites present in urine after consumption, including new candidate biomarkers of banana intake.Methods: A randomized controlled study with a crossover design was performed on 12 healthy subjects (6 men, 6 women, mean ± SD age: 30.0 ± 4.9 y; mean ± SD BMI: 22.5 ± 2.3 kg/m2). Subjects underwent 2 dietary interventions: 1) 250 mL control drink (Fresubin 2 kcal fiber, neutral flavor; Fresenius Kabi), and 2) 240 g banana + 150 mL control drink. Twenty-four-hour urine samples were collected and analyzed with ultra-performance liquid chromatography coupled to a quadrupole time-of-flight MS and 2-dimensional GC-MS. The discovered biomarkers were confirmed in a cross-sectional study [KarMeN (Karlsruhe Metabolomics and Nutrition study)] in which 78 subjects (mean BMI: 22.8; mean age: 47 y) were selected reflecting high intake (126-378 g/d), low intake (47.3-94.5 g/d), and nonconsumption of banana. The confirmed biomarkers were examined singly or in combinations, for established criteria of validation for biomarkers of food intake.Results: We identified 33 potentially bioactive banana metabolites, of which 5 metabolites, methoxyeugenol glucuronide (MEUG-GLUC), dopamine sulfate (DOP-S), salsolinol sulfate, xanthurenic acid, and 6-hydroxy-1-methyl-1,2,3,4-tetrahydro-β-carboline sulfate, were confirmed as candidate intake biomarkers. We demonstrated that the combination of MEUG-GLUC and DOP-S performed best in predicting banana intake in high (AUCtest = 0.92) and low (AUCtest = 0.87) consumers. The new biomarkers met key criteria establishing their current applicability in nutrition and health research for assessing the occurrence of banana intake.Conclusions: Our metabolomics study in healthy men and women revealed new putative bioactive metabolites of banana and a combined biomarker of intake. These findings will help to better decipher the health effects of banana in future focused studies. This study was registered at clinicaltrials.gov as NCT03581955 and with the Ethical Committee for the Protection of Human Subjects Sud-Est 6 as CPP AU 1251, IDRCB 2016-A0013-48; the KarMeN study was registered with the German Clinical Trials Register (DRKS00004890). Details about the study can be obtained from https://www.drks.de.

AB - Background: Banana is one of the most widely consumed fruits in the world. However, information regarding its health effects is scarce. Biomarkers of banana intake would allow a more accurate assessment of its consumption in nutrition studies.Objectives: Using an untargeted metabolomics approach, we aimed to identify the banana-derived metabolites present in urine after consumption, including new candidate biomarkers of banana intake.Methods: A randomized controlled study with a crossover design was performed on 12 healthy subjects (6 men, 6 women, mean ± SD age: 30.0 ± 4.9 y; mean ± SD BMI: 22.5 ± 2.3 kg/m2). Subjects underwent 2 dietary interventions: 1) 250 mL control drink (Fresubin 2 kcal fiber, neutral flavor; Fresenius Kabi), and 2) 240 g banana + 150 mL control drink. Twenty-four-hour urine samples were collected and analyzed with ultra-performance liquid chromatography coupled to a quadrupole time-of-flight MS and 2-dimensional GC-MS. The discovered biomarkers were confirmed in a cross-sectional study [KarMeN (Karlsruhe Metabolomics and Nutrition study)] in which 78 subjects (mean BMI: 22.8; mean age: 47 y) were selected reflecting high intake (126-378 g/d), low intake (47.3-94.5 g/d), and nonconsumption of banana. The confirmed biomarkers were examined singly or in combinations, for established criteria of validation for biomarkers of food intake.Results: We identified 33 potentially bioactive banana metabolites, of which 5 metabolites, methoxyeugenol glucuronide (MEUG-GLUC), dopamine sulfate (DOP-S), salsolinol sulfate, xanthurenic acid, and 6-hydroxy-1-methyl-1,2,3,4-tetrahydro-β-carboline sulfate, were confirmed as candidate intake biomarkers. We demonstrated that the combination of MEUG-GLUC and DOP-S performed best in predicting banana intake in high (AUCtest = 0.92) and low (AUCtest = 0.87) consumers. The new biomarkers met key criteria establishing their current applicability in nutrition and health research for assessing the occurrence of banana intake.Conclusions: Our metabolomics study in healthy men and women revealed new putative bioactive metabolites of banana and a combined biomarker of intake. These findings will help to better decipher the health effects of banana in future focused studies. This study was registered at clinicaltrials.gov as NCT03581955 and with the Ethical Committee for the Protection of Human Subjects Sud-Est 6 as CPP AU 1251, IDRCB 2016-A0013-48; the KarMeN study was registered with the German Clinical Trials Register (DRKS00004890). Details about the study can be obtained from https://www.drks.de.

KW - The Faculty of Science

KW - Banana

KW - Biomarkers of intake

KW - Dietary assessment

KW - Dopamine

KW - Salsolinol

KW - Methoxyeugenol

KW - Tetrahydro-β-carbolines

KW - Untargeted

KW - Nutrimetabolomics

U2 - 10.1093/jn/nxz125

DO - 10.1093/jn/nxz125

M3 - Journal article

VL - 149

SP - 1701

EP - 1713

JO - Journal of Nutrition

JF - Journal of Nutrition

SN - 0022-3166

IS - 10

ER -

ID: 224947186