SEARCHCOHORTnutrition, clinical nutrition

cohort·nutrition, clinical nutrition, micronutrients, epidemiology, antioxidants·PMC10221303

Differences Due to Sex and Sweetener on the Bioavailability of (Poly)phenols in Urine Samples: A Machine Learning Approach

Metabolites · 5 authors, 5 centres

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TL;DR

A two-month longitudinal trial with 140 volunteers showed that a consumer's sex and the sweetener added to a (poly)phenol-rich beverage significantly influence the bioavailability of its metabolites in urine, with stevia enhancing the bioavailability of several compounds in a sex-dependent manner.

Full summary

634 CHARS

This cohort study analyzed urinary metabolites from a 60-day trial where 140 participants consumed a (poly)phenol-rich beverage with one of three sweeteners. Biostatistical and machine learning methods, including ANOVA, t-tests, and clustering, were used to assess how sex and sweetener type influenced metabolite bioavailability. Clustering analyses revealed distinct patterns in metabolite distribution based on sex and sweetener, suggesting sex-dependent metabolic pathway regulation. The findings support the potential of stevia as a bioavailability enhancer and highlight the importance of considering sex in nutritional studies.

STUDY TYPE

cohort

SPECIALTY

nutrition

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AI pipeline

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ORIGINAL PAPER

PMC10221303

Differences Due to Sex and Sweetener on the Bioavailability of (Poly)phenols in Urine Samples: A Machine Learning Approach

Metabolites

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ABSTRACT

Metabolic diseases have been related to the overdrinking of high-sugar content beverages. As a result, the demand for alternative formulations based on plant-based ingredients with health-promoting properties has increased during the last few years. Nonetheless, the design and production of effective formulations requires understanding the bioavailability of these compounds. For this purpose, a two-month longitudinal trial with 140 volunteers was conducted to measure the beneficial effects of a maqui–citrus beverage, rich in (poly)phenols. From data obtained by quantifying metabolites present in urine samples, biostatistical and machine learning (data imputation, feature selection, and clustering) methods were applied to assess whether a volunteer’s sex and the sweetener added to the beverage (sucrose, sucralose, or stevia) affected the bioavailability of (poly)phenol metabolites. Several metabolites have been described as being differentially influenced: 3,4-dihydroxyphenylacetic acid and naringenin with its derivatives were positively influenced by stevia and men, while eriodictyol sulfate and homoeridictyol glucunoride concentrations were enhanced with stevia and women. By examining groups of volunteers created by clustering analysis, patterns in metabolites’ bioavailability distribution as a function of sex and/or sweeteners (or even due to an uncontrolled factor) were also discovered. These results underline the potential of stevia as a (poly)phenol bioavailability enhancer. Furthermore, they also evidence sex affects the bioavailability of (poly)phenols, pointing at a sex-dependent metabolic pathway regulation.

CITATION EXPORT

Diego Hernández-Prieto, Alberto Garre, Vicente Agulló et al.. Differences Due to Sex and Sweetener on the Bioavailability of (Poly)phenols in Urine Samples: A Machine Learning Approach. Metabolites. (2023). https://doi.org/10.3390/metabo13050653

AUTHORS

5 · 5 CENTRES

Diego Hernández-Prieto, Alberto Garre, Vicente Agulló, Cristina García-Viguera, Jose A. Egea

1Lab Fitoquimica y Alimentos Saludables (LabFAS), Department of Food Science and Technology (CEBAS-CSIC), Campus Universitario Espinardo, 25, 30100 Murcia, Spain; [email protected]
2Agronomic Engineering Department, Universidad Politécnica de Cartagena (UPCT), Paseo Alfonso XIII, 48, 30203 Cartagena, Spain; [email protected]
3Associated Unit of R&D and Innovation CEBAS-CSIC+UPCT on “Quality and Risk Assessment of Foods”, CEBAS-CSIC, Campus Universitario de Espinardo, 25, 30100 Murcia, Spain
4Human Nutrition Unit, Department of Food & Drug, University of Parma, 43125 Parma, Italy; [email protected]
5Group of Fruit Breeding, Department of Plant Breeding, CEBAS-CSIC, Campus Universitario de Espinardo, 25, 30100 Murcia, Spain; [email protected]

EDITOR / REVIEWER

L. Gerardo Zepeda Vallejo, José Iván Serrano-Contreras