Targeted metabolic profiling of phenolics in urine and plasma after regular consumption of cocoa by liquid chromatography–tandem mass spectrometry

Urpí-Sardà, Mireia; Monagas, Marı́a; Khan, Nasiruddin; Llorach, Rafaël; Lamuela-Raventós, Rosa M.; Jáuregui, Olga; Estruch, Ramón; Izquierdo-Pulido, Marı́a; Andrés‐Lacueva, Cristina

doi:10.1016/j.chroma.2009.07.058

Cited by 161 publications

(210 citation statements)

References 46 publications

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“…They describe phenolic acid determination in medicinal plants and preparations, as R. nigrum bud-preparations (Castro et al, 2010;Urpi-Sarda et al, 2009), according to the single bioactive compound concentrations shown in this research. Among other identified classes, flavonols and catechins were also selected for quantitative studies (Huang et al, 2008;Surveswaran et al, 2010;Yi et al, 2009).…”

Section: Discussionmentioning

confidence: 99%

Botanicals inRibes nigrumbud-preparations: An analytical fingerprinting to evaluate the bioactive contribution to total phytocomplex

Donno

Beccaro

Mellano

et al. 2013

Pharmaceutical Biology

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Context: Ribes nigrum L. (Grossulariaceae) is among the most commonly used herbal medicines and it is popularized for its alleged tonic effect and curative and restorative properties. The current practice of identifying herbal extracts is by measuring the concentration of the main botanicals. Their concentrations are used to characterize the herbal preparations and fingerprinting is recommended by the main Pharmacopeias as a potential and reliable strategy for the quality control of complex mixtures. Objective: The aim of this research was to perform an analytical study of R. nigrum budpreparations, in order to identify and quantify the main bioactive compounds, obtaining a specific chemical fingerprint to evaluate the single class contribution to herbal preparation phytocomplex. Materials and methods: The same analyses were performed using a high-performance liquid chromatograph-diode array detector both on University lab preparations and on commercial preparations from different Italian locations. Different chromatographic methods were used to analyse the macerated samples, two for polyphenols and one for terpenic compounds. Results: Ribes nigrum was identified as a rich source of anti-inflammatory and antioxidant compounds. The observed analytical firgerprint demonstrated that these bud-preparations represent a rich source of terpenic and polyphenolic compounds, especially catechins and phenolic acids. Discussion and conclusion: Analytical fingerprinting could be an important tool to study the assessment of chemical composition and bioactivities of plant-derived products, helping to find new sources of natural health-promoting compounds: this study allowed the development of an effective tool for quality control through botanical fingerprinting of bud preparations.

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Section: Discussionmentioning

confidence: 99%

Botanicals inRibes nigrumbud-preparations: An analytical fingerprinting to evaluate the bioactive contribution to total phytocomplex

Donno

Beccaro

Mellano

et al. 2013

Pharmaceutical Biology

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“…Accurate mass information was used to interrogate MZedDB (28), at 1 ppm resolution; in most instances, a single identity was suggested (Table 4). Further fragmentation analysis (FIE-MSn) including the use of pure chemical standards, comparisons with spectra in publicly available data depositories and literature (29,30) (see Supplemental data 7 under "Supplemental data" in the online issue) confirmed the identity of most of the targeted signals representing exposure to the 3 test foods.…”

Section: Identification Of Explanatory Metabolite Signals Indicates Smentioning

confidence: 99%

Use of mass spectrometry fingerprinting to identify urinary metabolites after consumption of specific foods

Lloyd

Favé

Beckmann

et al. 2011

The American Journal of Clinical Nutrition

119

125

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Background: The lack of robust biological markers of dietary exposure hinders the quantitative understanding of causal relations between diet and health. Objective: We aimed to develop an efficient procedure to discover metabolites in urine that may have future potential as biomarkers of acute exposure to foods of high public health importance. Design: Twenty-four participants were provided with a test breakfast in which the cereal component of a standardized breakfast was replaced by 1 of 4 foods of high public health importance; 1.5-, 3-, and 4.5-h postprandial urine samples were collected. Flow infusion electrospray-ionization mass spectrometry followed by supervised multivariate data analysis was used to discover signals resulting from consumption of each test food. Results: Fasted-state urine samples provided a universal comparator for food biomarker lead discovery in postprandial urine. The filtering of data features associated with consumption of the common components of the standardized breakfast improved discrimination models and readily identified metabolites that showed consumption of specific test foods. A combination of trimethylamine-N-oxide and 1-methylhistidine was associated with salmon consumption. Novel ascorbate derivatives were discovered in urine after consumption of either broccoli or raspberries. Sulphonated caffeic acid and sulphonated methyl-epicatechin concentrations increased dramatically after consumption of raspberries. Conclusions: This biomarker lead discovery strategy can identify urinary metabolites associated with acute exposure to individual foods. Future studies are required to validate the specificity and utility of potential biomarkers in an epidemiologic context. Am J Clin Nutr 2011;94:981-91.

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“…proved to be dihydroxyphenylvalerolactone conjugates that commonly result from the colonic fermentation of flavonoids, such as flavanols (52) (Fig. 4(d)).…”

Section: Exposure To Citrus Foods Has Provided a Paradigm For Discovementioning

confidence: 99%

Dietary exposure biomarker-lead discovery based on metabolomics analysis of urine samples

et al. 2013

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Although robust associations between dietary intake and population health are evident from conventional observational epidemiology, the outcomes of large-scale intervention studies testing the causality of those links have often proved inconclusive or have failed to demonstrate causality. This apparent conflict may be due to the well-recognised difficulty in measuring habitual food intake which may lead to confounding in observational epidemiology. Urine biomarkers indicative of exposure to specific foods offer information supplementary to the reliance on dietary intake self-assessment tools, such as FFQ, which are subject to individual bias. Biomarker discovery strategies using non-targeted metabolomics have been used recently to analyse urine from either short-term food intervention studies or from cohort studies in which participants consumed a freely-chosen diet. In the latter, the analysis of diet diary or FFQ information allowed classification of individuals in terms of the frequency of consumption of specific diet constituents. We review these approaches for biomarker discovery and illustrate both with particular reference to two studies carried out by the authors using approaches combining metabolite fingerprinting by MS with supervised multivariate data analysis. In both approaches, urine signals responsible for distinguishing between specific foods were identified and could be related to the chemical composition of the original foods. When using dietary data, both food distinctiveness and consumption frequency influenced whether differential dietary exposure could be discriminated adequately. We conclude that metabolomics methods for fingerprinting or profiling of overnight void urine, in particular, provide a robust strategy for dietary exposure biomarker-lead discovery.

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Targeted metabolic profiling of phenolics in urine and plasma after regular consumption of cocoa by liquid chromatography–tandem mass spectrometry

Cited by 161 publications

References 46 publications

Botanicals inRibes nigrumbud-preparations: An analytical fingerprinting to evaluate the bioactive contribution to total phytocomplex

Botanicals inRibes nigrumbud-preparations: An analytical fingerprinting to evaluate the bioactive contribution to total phytocomplex

Use of mass spectrometry fingerprinting to identify urinary metabolites after consumption of specific foods

Dietary exposure biomarker-lead discovery based on metabolomics analysis of urine samples

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