3-8-dihydroxy-6h-dibenzo(b-d)pyran-6-one and Metabolic-Syndrome

3-8-dihydroxy-6h-dibenzo(b-d)pyran-6-one has been researched along with Metabolic-Syndrome* in 3 studies

Trials

2 trial(s) available for 3-8-dihydroxy-6h-dibenzo(b-d)pyran-6-one and Metabolic-Syndrome

ArticleYear
Effects of ellagitannin-rich berries on blood lipids, gut microbiota, and urolithin production in human subjects with symptoms of metabolic syndrome.
    Molecular nutrition & food research, 2013, Volume: 57, Issue:12

    Ellagitannins are polyphenols abundant in strawberries, raspberries, and cloudberries. The effects of a mixture of these berries were studied in a randomized controlled trial with subjects having symptoms of metabolic syndrome. The study focused on serum lipid profiles, gut microbiota, and ellagitannin metabolites. The results indicate that bioavailability of ellagitannins appears to be dependent on the composition of gut microbiota.

    Topics: Blood Pressure; Coumarins; Fruit; Gastrointestinal Tract; Humans; Hydrolyzable Tannins; Lipids; Metabolic Syndrome; Microbiota; Treatment Outcome

2013
Urolithins are the main urinary microbial-derived phenolic metabolites discriminating a moderate consumption of nuts in free-living subjects with diagnosed metabolic syndrome.
    Journal of agricultural and food chemistry, 2012, Sep-12, Volume: 60, Issue:36

    Walnuts ( Juglans regia L.), hazelnuts ( Corylus avellana L.), and almonds ( Prunus dulcis Mill.) are rich sources of ellagitannins and proanthocyanidins. Gut microbiota plays a crucial role in modulating the bioavailability of these high molecular weight polyphenols. However, to date there are no studies evaluating the capacity to produce nut phenolic metabolites in subjects with metabolic syndrome (MetS), a pathology associated with an altered gut bacterial diversity. This study applied a LC-MS targeted approach to analyze the urinary excretion of nut phenolic metabolites in MetS subjects following 12 weeks of nut consumption, compared to sex- and age-matched individuals given a nut-free control diet. Metabolites were targeted in both hydrolyzed and nonhydrolyzed urine by LC-PDA-QqQ-MS/MS analysis, and identification of metabolites lacking available standards was confirmed by LC-ESI-ITD-FT-MS. Ellagitannin-derived urolithins A and B significantly increased after the nut-enriched-diet, urolithins C and D were also detected, and a complex combination of urolithin-conjugated forms was observed in nonhydrolyzed urine, confirming an extensive phase II metabolism after absorption. In contrast, no significant increases in proanthocyanidin microbial metabolites were observed in urine following nut consumption. Because the intestinal microbiota of the subjects in this study could catabolize ellagitannins into a wide range of urolithins, further research is strongly warranted on the in vivo potential of these microbial metabolites in reducing cardiometabolic risk.

    Topics: Adult; Bacteria; Corylus; Coumarins; Female; Humans; Hydrolyzable Tannins; Intestinal Mucosa; Intestines; Juglans; Male; Metabolic Syndrome; Metagenome; Middle Aged; Nuts; Prunus

2012

Other Studies

1 other study(ies) available for 3-8-dihydroxy-6h-dibenzo(b-d)pyran-6-one and Metabolic-Syndrome

ArticleYear
The gut microbiota metabolism of pomegranate or walnut ellagitannins yields two urolithin-metabotypes that correlate with cardiometabolic risk biomarkers: Comparison between normoweight, overweight-obesity and metabolic syndrome.
    Clinical nutrition (Edinburgh, Scotland), 2018, Volume: 37, Issue:3

    Urolithins are microbial metabolites produced after consumption of ellagitannin-containing foods such as pomegranates and walnuts. Parallel to isoflavone-metabolizing phenotypes, ellagitannin-metabolizing phenotypes (urolithin metabotypes A, B and 0; UM-A, UM-B and UM-0, respectively) can vary among individuals depending on their body mass index (BMI), but correlations between urolithin metabotypes (UMs) and cardiometabolic risk (CMR) factors are unexplored. We investigated the association between UMs and CMR factors in individuals with different BMI and health status.. UM was identified using UPLC-ESI-qToF-MS in individuals consuming pomegranate or nuts. The associations between basal CMR factors and the urine urolithin metabolomic signature were explored in 20 healthy normoweight individuals consuming walnuts (30 g/d), 49 healthy overweight-obese individuals ingesting pomegranate extract (450 mg/d) and 25 metabolic syndrome (MetS) patients consuming nuts (15 g-walnuts, 7.5 g-hazelnuts and 7.5 g-almonds/d).. Correlations between CMR factors and urolithins were found in overweight-obese individuals. Urolithin-A (mostly present in UM-A) was positively correlated with apolipoprotein A-I (P ≤ 0.05) and intermediate-HDL-cholesterol (P ≤ 0.05) while urolithin-B and isourolithin-A (characteristic from UM-B) were positively correlated with total-cholesterol, LDL-cholesterol (P ≤ 0.001), apolipoprotein B (P ≤ 0.01), VLDL-cholesterol, IDL-cholesterol, oxidized-LDL and apolipoprotein B:apolipoprotein A-I ratio (P ≤ 0.05). In MetS patients, urolithin-A only correlated inversely with glucose (P ≤ 0.05). Statin-treated MetS patients with UM-A showed a lipid profile similar to that of healthy normoweight individuals while a poor response to lipid-lowering therapy was observed in MB patients.. UMs are potential CMR biomarkers. Overweight-obese individuals with UM-B are at increased risk of cardiometabolic disease, whereas urolithin-A production could protect against CMR factors. Further research is warranted to explore these associations in larger cohorts and whether the effect of lipid-lowering drugs or ellagitannin-consumption on CMR biomarkers depends on individuals' UM.. NCT01916239 (https://clinicaltrials.gov/ct2/show/NCT01916239) and ISRCTN36468613 (http://www.isrctn.com/ISRCTN36468613).

    Topics: Adult; Biomarkers; Body Mass Index; Body Weight; Cardiovascular Diseases; Coumarins; Female; Fruit; Gastrointestinal Microbiome; Humans; Hydrolyzable Tannins; Juglans; Lipids; Lythraceae; Male; Metabolic Syndrome; Middle Aged; Nuts; Obesity; Overweight; Plant Extracts; Risk Factors

2018