Bioactive Compounds in Plasma as a Function of Sex and Sweetener Resulting from a Maqui-Lemon Beverage Consumption Using Statistical and Machine Learning Techniques

The present study analyses the effect of a beverage composed of citrus and maqui ( ) with different sweeteners on male and female consumers. Beverages were designed and tested (140 volunteers) as a source of polyphenols, in a previous work. Plasma samples were taken before and after two months of da...

Full description

Saved in:
Bibliographic Details
Published in:International journal of molecular sciences 2023-01, Vol.24 (3), p.2140
Main Authors: Hernández-Prieto, Diego, Fernández, Pablo S, Agulló, Vicente, García-Viguera, Cristina, Egea, Jose A
Format: Article
Language:English
Subjects:
Animals
anthocyanins
Beverages
Beverages - analysis
Bioactive compounds
Bioavailability
Biological activity
biostatistics
Caffeic acid
Citrus
Clustering
Datasets
dietary intake
Dihydroxyphenylacetic acid
Feature selection
Ferulic acid
flavanones
Gender differences
Learning algorithms
Machine learning
Males
Metabolism
Metabolites
Metabolomics
Naringenin
Phenols
Plant-based beverages
Polyphenols
Polyphenols - analysis
Sexes
Statistical analysis
Stevia
Sucrose
Sweetening Agents - pharmacology
Vanillic acid
Variance analysis
Womens health
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The present study analyses the effect of a beverage composed of citrus and maqui ( ) with different sweeteners on male and female consumers. Beverages were designed and tested (140 volunteers) as a source of polyphenols, in a previous work. Plasma samples were taken before and after two months of daily intake. Samples were measured for bioactive-compound levels with metabolomics techniques, and the resulting data were analysed with advanced versions of ANOVA and clustering analysis, to describe the effects of sex and sweetener factors on bioactive compounds. To improve the results, machine learning techniques were applied to perform feature selection and data imputation. The results reflect a series of compounds which are more regulated for men, such as caffeic acid or 3,4-dihydroxyphenylacetic acid, and for women, trans ferulic acid (TFA) or naringenin glucuronide. Regulations are also observed with sweeteners, such as TFA with stevia in women, or vanillic acid with sucrose in men. These results show that there is a differential regulation of these two families of polyphenols by sex, and that this is influenced by sweeteners.
ISSN:1422-0067
1661-6596
1422-0067
DOI:10.3390/ijms24032140