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Identifying the metabolomic fingerprint of high and low flavonoid consumers.

ABSTRACT: High flavonoid consumption can improve vascular health. Exploring flavonoid-metabolome relationships in population-based settings is challenging, as: (i) there are numerous confounders of the flavonoid-metabolome relationship; and (ii) the set of dependent metabolite variables are inter-related, highly variable and multidimensional. The Metabolite Fingerprint Score has been developed as a means of approaching such data. This study aims to compare its performance with that of more traditional methods, in identifying the metabolomic fingerprint of high and low flavonoid consumers. This study did not aim to identify biomarkers of intake, but rather to explore how systemic metabolism differs in high and low flavonoid consumers. Using liquid chromatography-tandem MS, 174 circulating plasma metabolites were profiled in 584 men and women who had complete flavonoid intake assessment. Participants were randomised to one of two datasets: (a) training dataset, to determine the models for the discrimination variables (n 399); and (b) validation dataset, to test the capacity of the variables to differentiate higher from lower total flavonoid consumers (n 185). The stepwise and full canonical variables did not discriminate in the validation dataset. The Metabolite Fingerprint Score successfully identified a unique pattern of metabolites that discriminated high from low flavonoid consumers in the validation dataset in a multivariate-adjusted setting, and provides insight into the relationship of flavonoids with systemic lipid metabolism. Given increasing use of metabolomics data in dietary association studies, and the difficulty in validating findings using untargeted metabolomics, this paper is of timely importance to the field of nutrition. However, further validation studies are required.

SUBMITTER: Ivey KL

PROVIDER: S-EPMC5672306 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature

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Identifying the metabolomic fingerprint of high and low flavonoid consumers.

Ivey Kerry L KL Rimm Eric B EB Kraft Peter P Clish Clary B CB Cassidy Aedin A Hodgson Jonathan J Croft Kevin K Wolpin Brian B Liang Liming L

Journal of nutritional science 20170714

High flavonoid consumption can improve vascular health. Exploring flavonoid-metabolome relationships in population-based settings is challenging, as: (i) there are numerous confounders of the flavonoid-metabolome relationship; and (ii) the set of dependent metabolite variables are inter-related, highly variable and multidimensional. The Metabolite Fingerprint Score has been developed as a means of approaching such data. This study aims to compare its performance with that of more traditional met ...[more]

PMID: 29152238

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Project description:The enriched phenolic content attributes to the promising health benefit of strawberry fruits. On behalf of screening and seeking the breeding material with high phytochemical composition, a mutant (MT) of strawberry 'Benihoppe' (WT) with high total flavonoid content (TFC), especially anthocyanins and proanthocyanidins (PAs), was identified in this study. To investigate the possible reason for these disparities during strawberry fruit development, an integrated transcriptomic and metabolomic analysis was conducted using these two specific materials. As a result, a total of 113 flavonoid compounds were detected, a specific anthocyanin, namely, petunidin 3-O-rutinoside was detected for the first time in strawberry. By comparing with the WT fruits, a significant reduction of petunidin 3-O-rutinoside while around 24 times higher of cyanidin 3-O-rutinoside in MT fruits were observed. However, the cyanidin 3-glucoside content did not show obvious changes between MT and WT fruits, the pelargonidin and its derivatives were up-regulated only in partial red (PR) stage, but not in large green (LG) and fully red (FR) stages. Notably, the PAs such as procyanidin B2, procyanidin A1, catechin, gallocatechin gallate, epigallacatechin, and theaflavin were markedly up-regulated in MT. These results revealed a differential flavonoid biosynthesis between the two detected strawberry genotypes. A joint analysis with transcriptome data explained the up-regulation of cyanidin-based anthocyanins and PAs were caused by the down-regulation of F3'5'H, and up-regulation of F3'H and LAR expression, which might be regulated by the upregulation of potential TFs such as C3H, MADS, and AP2/ERF TFs. Metabolite correlation analysis suggested that it was PAs but not anthocyanins strongly correlated with the total phenolic content (TPC), indicated that PAs might contribute more to TPC than anthocyanins in our detected strawberry samples. This study not only potentially provided a new mutant for further breeding program to obtain high flavonoid content strawberry but also gave insights into strawberry flavonoid metabolic regulatory network, laid the foundation for identifying new flavonoid regulators in strawberry.

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Identifying the metabolomic fingerprint of high and low flavonoid consumers.

Publications

Identifying the metabolomic fingerprint of high and low flavonoid consumers.

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