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Nutrients. 2017 Feb 9;9(2). pii: E117. doi: 10.3390/nu9020117.

Impact of Flavonols on Cardiometabolic Biomarkers:  A Meta-Analysis of Randomized Controlled Human  Trials to Explore the Role of Inter-Individual  Variability.

Author information

1
BET/ITQB, Molecular Nutrition & Health Laboratory, 2780-157 Oeiras, Portugal. rmenezes@ibet.pt.
2
Division of Diabetes and Nutritional Sciences, Faculty of Life Sciences and Medicine, King's College London, London SE1 9NH, UK. mateos@kcl.ac.uk.
3
FAME Laboratory, School of Exercise Science, University of Thessaly, 42100 Volos, Greece. akaltsat@gmail.com.
4
CEBAS-CSIC, E-30100 Murcia, Spain. agsarrias@cebas.csic.es.
5
Unilever R&D, 3133AT Vlaardingen, The Netherlands. Arno.Greyling@unilever.com.
6
University of Nicosia, CY1700 Engomi, Cyprus. giannaki.c@unic.ac.cy.
7
Biomarkers and Nutrimetabolomic Laboratory, Department of Nutrition, Food Sciences and Gastronomy, Campus Torribera, Faculty of Pharmacy and Food Sciences, University of Barcelona, CIBER de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, 08028 Barcelona, Spain.
8
INRA, UMR 1019, UNH, CRNH Auvergne, F-63000 Clermont-Ferrand, Clermont Université, Université d'Auvergne, Unité de Nutrition Humaine, BP 10448, F-63000 Clermont-Ferrand, France. dragan.milenkovic@clermont.inra.fr.
9
University College Dublin, D4 Dublin, Ireland. eileen.gibney@ucd.ie.
10
Université Lille, INSERM, Institut Pasteur de Lille, U1167-RID-AGE-Facteurs de Risque et Déterminants Moléculaires des Maladies Liées au Vieillissement, F-59000 Lille, France. eileen.gibney@ucd.ie.
11
Department of Food and Nutritional Sciences, University of Reading, Reading RG6 6AP, UK. rmenezes@ibet.pt.
12
Human Nutrition, University of Glasgow, Glasgow G31 2ER, UK. mateos@kcl.ac.uk.
13
Goce Delcev University, 2000 Stip, Macedonia. akaltsat@gmail.com.
14
BET/ITQB, Molecular Nutrition & Health Laboratory, 2780-157 Oeiras, Portugal. paula.pinto@esa.ipsantarem.pt.
15
Polytechnic Institute of Santarem, ESA, Department of Food Technology, Biotechnology and Nutrition, 2001-904 Santarém, Portugal. paula.pinto@esa.ipsantarem.pt.

Abstract

Several  epidemiological  studies  have  linked  flavonols  with  decreased  risk  of  cardiovascular  disease  (CVD).  However,  some  heterogeneity  in  the  individual  physiological  responses to the consumption of these compounds has been identified. This meta-analysis aimed to  study the effect of flavonol supplementation on biomarkers of CVD risk such as, blood lipids, blood  pressure and plasma glucose, as well as factors affecting their inter-individual variability. Data from  18 human randomized controlled trials were pooled and the effect was estimated using fixed or  random effects meta-analysis model and reported as difference in means (DM). Variability in the  response of blood lipids to supplementation with flavonols was assessed by stratifying various  population subgroups: age, sex, country, and health status. Results showed significant reductions  in total cholesterol (DM = -0.10 mmol/L; 95% CI: -0.20, -0.01), LDL cholesterol (DM = -0.14 mmol/L;  Nutrients 2017, 9, 117  2 of 21  95% CI: -0.21, 0.07), and triacylglycerol (DM = -0.10 mmol/L; 95% CI: -0.18, 0.03), and a significant  increase in HDL cholesterol (DM = 0.05 mmol/L; 95% CI: 0.02, 0.07). A significant reduction was also  observed in fasting plasma glucose (DM = -0.18 mmol/L; 95%CI: -0.29, -0.08), and in blood pressure  (SBP: DM = -4.84 mmHg; 95% CI: -5.64, -4.04; DBP: DM = -3.32 mmHg; 95% CI: -4.09, -2.55).  Subgroup analysis showed a more pronounced effect of flavonol intake in participants from Asian  countries and in participants with diagnosed disease or dyslipidemia, compared to healthy and  normal baseline values. In conclusion, flavonol consumption improved biomarkers of CVD risk,  however, country of origin and health status may influence the effect of flavonol intake on blood  lipid levels.

KEYWORDS:

flavonols;   Interindividual variability;   cardiovascular  disease;   meta‐analysis;   quercetin;   systematic  review;  blood lipids;  blood pressure;  glucose

PMID:
28208791
PMCID:
PMC5331548
DOI:
10.3390/nu9020117
[Indexed for MEDLINE]
Free PMC Article

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