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.

Background & aims: Urolithins are microbial metabolites produced after consumption of ellagitannincontaining 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, respec...

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Detalles Bibliográficos
Autores: Selma, María Victoria, González-Sarrías, Antonio, Salas Salvadó, Jordi, Andrés Lacueva, Ma. Cristina, Alasalvar, Cesarettin, Örem, Asim, Tomas-Barberan, F. A. (Francisco A.), Espín, Juan Carlos
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2017
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:2445/163670
Acceso en línea:https://hdl.handle.net/2445/163670
Access Level:acceso abierto
Palabra clave:Metabolisme
Microbiota intestinal
Obesitat
Marcadors bioquímics
Malalties cardiovasculars
Fruita seca
Magranes
Fisiologia
Polifenols
Lípids
Metabolism
Gastrointestinal microbiome
Obesity
Biochemical markers
Cardiovascular diseases
Dried fruit
Pomegranate (Fruit)
Physiology
Polyphenols
Lipids
Descripción
Sumario:Background & aims: Urolithins are microbial metabolites produced after consumption of ellagitannincontaining 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. Methods: 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 overweightobese 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). Results: 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. Conclusions: 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 lipidlowering drugs or ellagitannin-consumption on CMR biomarkers depends on individuals' UM.