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Issue 10, 2013
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Modelling the possible bioactivity of ellagitannin-derived metabolites. In silico tools to evaluate their potential xenoestrogenic behavior

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Abstract

Estrogen Receptors (ERs) are ligand-dependent intracellular transcriptional factors involved in many diseases. ERs mediate many of the effects of estrogens, but also exogenous compounds are able to interfere with ER, disrupting endocrine signaling. Among these xenobiotics, compounds present in food and feed make ERs a relevant target in the context of dietary modulation of health. In this sense, urolithins, gut microbiota derived metabolites of plant polyphenolic ellagitannins, may represent good candidates to act as phytoestrogens that are able to modulate the activity of ERs. An in silico method to qualitatively evaluate the potential xenoestrogenic agonistic behavior of ellagitannin-derived metabolites is proposed. The “full-dry” in silico approach involved structure based virtual screening (SBVS), docking simulations and re-scoring procedures. Results provided valuable insights about the phase II conjugations (glucuronidation, sulfation, and methylation, occurring in vivo) affecting the estrogenicity of these compounds on α- and β-ER isoforms. Hydroxylation patterns also revealed a significant role in the agonistic behavior of urolithin derivatives. On the whole, ellagitannin-derived metabolites exerted different predicted xenoestrogenic activity depending on chemical structures, and the applied in silico approach may represent a successful and easy choice to analyze enormous datasets of food-related compounds in order to understand their potential biological features.

Graphical abstract: Modelling the possible bioactivity of ellagitannin-derived metabolites. In silico tools to evaluate their potential xenoestrogenic behavior

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Publication details

The article was received on 01 Apr 2013, accepted on 23 Jul 2013 and first published on 24 Jul 2013


Article type: Paper
DOI: 10.1039/C3FO60117J
Food Funct., 2013,4, 1442-1451

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    Modelling the possible bioactivity of ellagitannin-derived metabolites. In silico tools to evaluate their potential xenoestrogenic behavior

    L. Dellafiora, P. Mena, P. Cozzini, F. Brighenti and D. Del Rio, Food Funct., 2013, 4, 1442
    DOI: 10.1039/C3FO60117J

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