A metabolomics approach to the identification of urinary biomarkers of pea intake

Research output: Contribution to journalJournal article

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A metabolomics approach to the identification of urinary biomarkers of pea intake. / Harsha, Pedapati S C Sri; Wahab, Roshaida Abdul; Cuparencu, Catalina; Dragsted, Lars Ove; Brennan, Lorraine.

In: Nutrients, Vol. 10, No. 12, 1911, 2018.

Research output: Contribution to journalJournal article

Harvard

Harsha, PSCS, Wahab, RA, Cuparencu, C, Dragsted, LO & Brennan, L 2018, 'A metabolomics approach to the identification of urinary biomarkers of pea intake', Nutrients, vol. 10, no. 12, 1911. https://doi.org/10.3390/nu10121911

APA

Harsha, P. S. C. S., Wahab, R. A., Cuparencu, C., Dragsted, L. O., & Brennan, L. (2018). A metabolomics approach to the identification of urinary biomarkers of pea intake. Nutrients, 10(12), [1911]. https://doi.org/10.3390/nu10121911

Vancouver

Harsha PSCS, Wahab RA, Cuparencu C, Dragsted LO, Brennan L. A metabolomics approach to the identification of urinary biomarkers of pea intake. Nutrients. 2018;10(12). 1911. https://doi.org/10.3390/nu10121911

Author

Harsha, Pedapati S C Sri ; Wahab, Roshaida Abdul ; Cuparencu, Catalina ; Dragsted, Lars Ove ; Brennan, Lorraine. / A metabolomics approach to the identification of urinary biomarkers of pea intake. In: Nutrients. 2018 ; Vol. 10, No. 12.

Bibtex

@article{4029f7d07e284566a0f8bca6306bbcdd,
title = "A metabolomics approach to the identification of urinary biomarkers of pea intake",
abstract = "A significant body of evidence demonstrates that isoflavone metabolites are good markers of soy intake, while research is lacking on specific markers of other leguminous sources such as peas. In this context, the objective of our current study was to identify biomarkers of pea intake using an untargeted metabolomics approach. A randomized cross-over acute intervention study was conducted on eleven participants who consumed peas and couscous (control food) in random order. The urine samples were collected in fasting state and postprandially at regular intervals and were further analysed by ultra-performance liquid chromatography coupled to quadrupole time of flight mass spectrometry (UPLC-QTOF-MS). Multivariate statistical analysis resulted in robust Partial least squares Discriminant Analysis (PLS-DA) models obtained for comparison of fasting against the postprandial time points (0 h vs. 4 h, (R²X = 0.41, Q² = 0.4); 0 h vs. 6 h, ((R²X = 0.517, Q² = 0.495)). Variables with variable importance of projection (VIP) scores ≥1.5 obtained from the PLS-DA plot were considered discriminant between the two time points. Repeated measures analysis of variance (ANOVA) was performed to identify features with a significant time effect. Assessment of the time course profile revealed that ten features displayed a differential time course following peas consumption compared to the control food. The interesting features were tentatively identified using accurate mass data and confirmed by tandem mass spectrometry (MS using commercial spectral databases and authentic standards. 2-Isopropylmalic acid, asparaginyl valine and N-carbamoyl-2-amino-2-(4-hydroxyphenyl) acetic acid were identified as markers reflecting pea intake. The three markers also increased in a dose-dependent manner in a randomized intervention study and were further confirmed in an independent intervention study. Overall, key validation criteria were met for the successfully identified pea biomarkers. Future work will examine their use in nutritional epidemiology studies.",
keywords = "Faculty of Science, Metabolomics, Biomarkers, Dietary assessment, Peas",
author = "Harsha, {Pedapati S C Sri} and Wahab, {Roshaida Abdul} and Catalina Cuparencu and Dragsted, {Lars Ove} and Lorraine Brennan",
note = "CURIS 2018 NEXS 419",
year = "2018",
doi = "10.3390/nu10121911",
language = "English",
volume = "10",
journal = "Nutrients",
issn = "2072-6643",
publisher = "M D P I AG",
number = "12",

}

RIS

TY - JOUR

T1 - A metabolomics approach to the identification of urinary biomarkers of pea intake

AU - Harsha, Pedapati S C Sri

AU - Wahab, Roshaida Abdul

AU - Cuparencu, Catalina

AU - Dragsted, Lars Ove

AU - Brennan, Lorraine

N1 - CURIS 2018 NEXS 419

PY - 2018

Y1 - 2018

N2 - A significant body of evidence demonstrates that isoflavone metabolites are good markers of soy intake, while research is lacking on specific markers of other leguminous sources such as peas. In this context, the objective of our current study was to identify biomarkers of pea intake using an untargeted metabolomics approach. A randomized cross-over acute intervention study was conducted on eleven participants who consumed peas and couscous (control food) in random order. The urine samples were collected in fasting state and postprandially at regular intervals and were further analysed by ultra-performance liquid chromatography coupled to quadrupole time of flight mass spectrometry (UPLC-QTOF-MS). Multivariate statistical analysis resulted in robust Partial least squares Discriminant Analysis (PLS-DA) models obtained for comparison of fasting against the postprandial time points (0 h vs. 4 h, (R²X = 0.41, Q² = 0.4); 0 h vs. 6 h, ((R²X = 0.517, Q² = 0.495)). Variables with variable importance of projection (VIP) scores ≥1.5 obtained from the PLS-DA plot were considered discriminant between the two time points. Repeated measures analysis of variance (ANOVA) was performed to identify features with a significant time effect. Assessment of the time course profile revealed that ten features displayed a differential time course following peas consumption compared to the control food. The interesting features were tentatively identified using accurate mass data and confirmed by tandem mass spectrometry (MS using commercial spectral databases and authentic standards. 2-Isopropylmalic acid, asparaginyl valine and N-carbamoyl-2-amino-2-(4-hydroxyphenyl) acetic acid were identified as markers reflecting pea intake. The three markers also increased in a dose-dependent manner in a randomized intervention study and were further confirmed in an independent intervention study. Overall, key validation criteria were met for the successfully identified pea biomarkers. Future work will examine their use in nutritional epidemiology studies.

AB - A significant body of evidence demonstrates that isoflavone metabolites are good markers of soy intake, while research is lacking on specific markers of other leguminous sources such as peas. In this context, the objective of our current study was to identify biomarkers of pea intake using an untargeted metabolomics approach. A randomized cross-over acute intervention study was conducted on eleven participants who consumed peas and couscous (control food) in random order. The urine samples were collected in fasting state and postprandially at regular intervals and were further analysed by ultra-performance liquid chromatography coupled to quadrupole time of flight mass spectrometry (UPLC-QTOF-MS). Multivariate statistical analysis resulted in robust Partial least squares Discriminant Analysis (PLS-DA) models obtained for comparison of fasting against the postprandial time points (0 h vs. 4 h, (R²X = 0.41, Q² = 0.4); 0 h vs. 6 h, ((R²X = 0.517, Q² = 0.495)). Variables with variable importance of projection (VIP) scores ≥1.5 obtained from the PLS-DA plot were considered discriminant between the two time points. Repeated measures analysis of variance (ANOVA) was performed to identify features with a significant time effect. Assessment of the time course profile revealed that ten features displayed a differential time course following peas consumption compared to the control food. The interesting features were tentatively identified using accurate mass data and confirmed by tandem mass spectrometry (MS using commercial spectral databases and authentic standards. 2-Isopropylmalic acid, asparaginyl valine and N-carbamoyl-2-amino-2-(4-hydroxyphenyl) acetic acid were identified as markers reflecting pea intake. The three markers also increased in a dose-dependent manner in a randomized intervention study and were further confirmed in an independent intervention study. Overall, key validation criteria were met for the successfully identified pea biomarkers. Future work will examine their use in nutritional epidemiology studies.

KW - Faculty of Science

KW - Metabolomics

KW - Biomarkers

KW - Dietary assessment

KW - Peas

U2 - 10.3390/nu10121911

DO - 10.3390/nu10121911

M3 - Journal article

C2 - 30518059

VL - 10

JO - Nutrients

JF - Nutrients

SN - 2072-6643

IS - 12

M1 - 1911

ER -

ID: 209702948