AIMS: Due to their different chemical structures and metabolism, polyphenol subclasses may have specific impact on cardiometabolic risk factors. Our aim was to evaluate whether the intake of different polyphenol subclasses is associated with clinical outcomes beneficially improved by polyphenols in a nutritional trial performed by our group (postprandial lipid response, glucose homeostasis, early insulin secretion and oxidative stress). METHODS: The present study is a secondary analysis of a nutritional intervention study with a diet naturally rich in polyphenols. The data are derived from 78 participants at high cardiovascular risk who completed the ETHERPATH trial. The associations between variations in polyphenol subclasses (phenolic acids, anthocyanidins, flavones, flavan-3-ols, flavonols and flavanones) and clinical outcomes beneficially influenced by polyphenols were firstly explored by Spearman's correlation. Thereafter, adjustment for gender, age and body mass index (BMI) was run. Linear regression analysis was used to assess the class of polyphenols that best predicted the outcome. RESULTS:Flavanone intake was inversely correlated with postprandial lipid response, whereas flavone intake was related to postchallenge glucose response. Anthocyanidins and flavan-3-ols associated positively with early insulin secretion. The decrease in urinary isoprostanes correlated with anthocyanidins, flavan-3-ols and flavonols. Correlations did not change after adjustment for gender, age, and BMI. Linear regression analysis showed an independent association between flavonols and urinary isoprostanes, whereas early insulin secretion was mainly associated with flavan-3-ols intake. CONCLUSIONS: The results of this study show that a polyphenol-rich diet may have a pleiotropic effect on cardiometabolic risk factors thanks to the specific action of different polyphenol subclasses.
RCT Entities:
AIMS: Due to their different chemical structures and metabolism, polyphenol subclasses may have specific impact on cardiometabolic risk factors. Our aim was to evaluate whether the intake of different polyphenol subclasses is associated with clinical outcomes beneficially improved by polyphenols in a nutritional trial performed by our group (postprandial lipid response, glucose homeostasis, early insulin secretion and oxidative stress). METHODS: The present study is a secondary analysis of a nutritional intervention study with a diet naturally rich in polyphenols. The data are derived from 78 participants at high cardiovascular risk who completed the ETHERPATH trial. The associations between variations in polyphenol subclasses (phenolic acids, anthocyanidins, flavones, flavan-3-ols, flavonols and flavanones) and clinical outcomes beneficially influenced by polyphenols were firstly explored by Spearman's correlation. Thereafter, adjustment for gender, age and body mass index (BMI) was run. Linear regression analysis was used to assess the class of polyphenols that best predicted the outcome. RESULTS:Flavanone intake was inversely correlated with postprandial lipid response, whereas flavone intake was related to postchallenge glucose response. Anthocyanidins and flavan-3-ols associated positively with early insulin secretion. The decrease in urinary isoprostanes correlated with anthocyanidins, flavan-3-ols and flavonols. Correlations did not change after adjustment for gender, age, and BMI. Linear regression analysis showed an independent association between flavonols and urinary isoprostanes, whereas early insulin secretion was mainly associated with flavan-3-ols intake. CONCLUSIONS: The results of this study show that a polyphenol-rich diet may have a pleiotropic effect on cardiometabolic risk factors thanks to the specific action of different polyphenol subclasses.
Authors: Isabel Gutiérrez-Díaz; Nuria Salazar; Jara Pérez-Jiménez; Clara G de Los Reyes-Gavilán; Miguel Gueimonde; Sonia González Journal: Eur J Nutr Date: 2020-07-27 Impact factor: 5.614
Authors: Sara Castro-Barquero; Anna Tresserra-Rimbau; Facundo Vitelli-Storelli; Mónica Doménech; Jordi Salas-Salvadó; Vicente Martín-Sánchez; María Rubín-García; Pilar Buil-Cosiales; Dolores Corella; Montserrat Fitó; Dora Romaguera; Jesús Vioque; Ángel María Alonso-Gómez; Julia Wärnberg; José Alfredo Martínez; Luís Serra-Majem; Francisco José Tinahones; José Lapetra; Xavier Pintó; Josep Antonio Tur; Antonio Garcia-Rios; Laura García-Molina; Miguel Delgado-Rodriguez; Pilar Matía-Martín; Lidia Daimiel; Josep Vidal; Clotilde Vázquez; Montserrat Cofán; Andrea Romanos-Nanclares; Nerea Becerra-Tomas; Rocio Barragan; Olga Castañer; Jadwiga Konieczna; Sandra González-Palacios; Carolina Sorto-Sánchez; Jessica Pérez-López; María Angeles Zulet; Inmaculada Bautista-Castaño; Rosa Casas; Ana María Gómez-Perez; José Manuel Santos-Lozano; María Ángeles Rodríguez-Sanchez; Alicia Julibert; Nerea Martín-Calvo; Pablo Hernández-Alonso; José V Sorlí; Albert Sanllorente; Aina María Galmés-Panadés; Eugenio Cases-Pérez; Leire Goicolea-Güemez; Miguel Ruiz-Canela; Nancy Babio; Álvaro Hernáez; Rosa María Lamuela-Raventós; Ramon Estruch Journal: Nutrients Date: 2020-03-04 Impact factor: 5.717