Gregorio Peron1, Jalal Uddin2, Matteo Stocchero3, Stefano Mammi2, Elisabetta Schievano2, Stefano Dall'Acqua4. 1. Department of Pharmaceutical and Pharmacological Sciences, University of Padova, Via Marzolo 5, 35131 Padova, Italy. 2. Department of Chemical Sciences, University of Padova, Via Marzolo 1, 35131 Padova, Italy. 3. S-IN Soluzioni Informatiche, Via Ferrari 14, 36100 Vicenza, Italy. 4. Department of Pharmaceutical and Pharmacological Sciences, University of Padova, Via Marzolo 5, 35131 Padova, Italy. Electronic address: stefano.dallacqua@unipd.it.
Abstract
BACKGROUND: A longitudinal study was performed to evaluate the effects of Polygonum cuspidatum extract (standardized at 20% resveratrol) supplementation on healthy rats. The effects were explored by monitoring urinary metabolome changes using UPLC-HRMS and 1H NMR-based approaches. The aim of the study was to explore the effects of P. cuspidatum supplementation on a healthy animal model using metabolomics, in order to determine possible modes of action and obtain information on bioactivity. METHODS: Healthy Sprague-Dawley rats were orally supplemented with 100mg/kg of dried P. cuspidatum extract for 49days and 24-h urinary outputs were collected. Samples were analysed by untargeted UPLC-HRMS and 1H NMR approaches and the obtained data sets were modelled by an adaptation of post-transformation of PLS2 to longitudinal studies. Putative markers were discovered by a stability selection procedure and specific oxidative stress markers were monitored by a targeted HPLC-MS/MS analysis to assess the in vivo antioxidant activity of P. cuspidatum extract. RESULTS: UPLC-HRMS and 1H NMR platforms showed two different but complementary patterns of metabolites describing the changes ascribable to P. cuspidatum supplementation and using both approaches, a comprehensive resveratrol metabolism and urinary excretion could be observed. Markers of P. cuspidatum supplementation effects identified by UPLC-HRMS were mainly related to its antioxidant activity and to a possible "adaptogenic" activity. Urinary changes observed by 1H NMR were mainly related to energy metabolism. UPLC-HRMS and 1H NMR metabolomics approaches allowed the effects of a prolonged supplementation with P. cuspidatum on healthy rats to be observed. The statistical models built from both data sets showed metabolic changes in urines related to rat aging.
BACKGROUND: A longitudinal study was performed to evaluate the effects of Polygonum cuspidatum extract (standardized at 20% resveratrol) supplementation on healthy rats. The effects were explored by monitoring urinary metabolome changes using UPLC-HRMS and 1H NMR-based approaches. The aim of the study was to explore the effects of P. cuspidatum supplementation on a healthy animal model using metabolomics, in order to determine possible modes of action and obtain information on bioactivity. METHODS: Healthy Sprague-Dawley rats were orally supplemented with 100mg/kg of dried P. cuspidatum extract for 49days and 24-h urinary outputs were collected. Samples were analysed by untargeted UPLC-HRMS and 1H NMR approaches and the obtained data sets were modelled by an adaptation of post-transformation of PLS2 to longitudinal studies. Putative markers were discovered by a stability selection procedure and specific oxidative stress markers were monitored by a targeted HPLC-MS/MS analysis to assess the in vivo antioxidant activity of P. cuspidatum extract. RESULTS: UPLC-HRMS and 1H NMR platforms showed two different but complementary patterns of metabolites describing the changes ascribable to P. cuspidatum supplementation and using both approaches, a comprehensive resveratrol metabolism and urinary excretion could be observed. Markers of P. cuspidatum supplementation effects identified by UPLC-HRMS were mainly related to its antioxidant activity and to a possible "adaptogenic" activity. Urinary changes observed by 1H NMR were mainly related to energy metabolism. UPLC-HRMS and 1H NMR metabolomics approaches allowed the effects of a prolonged supplementation with P. cuspidatum on healthy rats to be observed. The statistical models built from both data sets showed metabolic changes in urines related to rat aging.
Authors: Yu Dai; Samuel C M Yeo; Peter J Barnes; Louise E Donnelly; Lai C Loo; Hai-Shu Lin Journal: Front Pharmacol Date: 2018-07-11 Impact factor: 5.810