Plasma metabolite abundances are associated with urinary enterolactone excretion in healthy participants on controlled diets
Year: 2017
Type: article
Abstract: Enterolignans, products of gut bacterial metabolism of plant lignans, have been associated with reduced risk of chronic diseases, but their association with other plasma metabolites is unknown. We examined plasma metabolite profiles according to urinary enterolignan excretion in a cross-sectional analysis using data from a randomized crossover, controlled feeding study. Eighty healthy adult males and females completed two 28-day feeding periods differing by glycemic load, refined carbohydrate, and fiber content. Lignan intake was calculated from food records using a polyphenol database. Targeted metabolomics was performed by LC-MS on plasma from fasting blood samples collected at the end of each feeding period. Enterolactone (ENL) and enterodiol, were measured in 24 h urine samples collected on the penultimate day of each study period using GC-MS. Linear mixed models were used to test the association between enterolignan excretion and metabolite abundances. Pathway analyses were conducted using the Global Test. Benjamini-Hochberg false discovery rate (FDR) was used to control for multiple testing. Of the metabolites assayed, 121 were detected in all samples. ENL excretion was associated positively with plasma hippuric acid and melatonin, and inversely with epinephrine, creatine, glycochenodeoxycholate, and glyceraldehyde (P < 0.05). Hippuric acid only satisfied the FDR of q < 0.1. END excretion was associated with myristic acid and glycine (q < 0.5). Two of 57 pathways tested were associated significantly with ENL, ubiquinone and terpenoid-quinone biosynthesis, and inositol phosphate metabolism. These results suggest a potential role for ENL or ENL-metabolizing gut bacteria in regulating plasma metabolites.
Source: Food & Function
DOI: 10.1039/c7fo00684e
Institutions: Fred Hutch Cancer Center, University of Washington
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
Awards: Machine Learning Tools for Discovery and Analysis of Active Metabolic Pathways, Biobehavioral Cancer Prevention and Control Training Program, Statistical Methods for Network-Based Integrative Analysis of CVD Epigenetic Data, G5406569965, Mechanisms of Energy Balance and Cancer Prevention, Human and Bacterial Molecular Pathways in Cancer Risk: Modulation by Diet, Nutrition Obesity Research Center, Cancer Center Support Grant
OpenAlex ID: W2749070449
