RT Journal Article
T1 Sweet Taste Receptors’ Genetic Variability in Advanced Potential Targets of Obesity
A1 Loria Kohen, Viviana Constanza
A1 Wagner Reguero, Sonia
A1 Fernández, Lara P.
A1 Colmenarejo, Gonzalo
A1 Cruz-Gil, Silvia
A1 Espinosa, Isabel
A1 Molina, Susana
A1 Crespo, María Carmen
A1 Aguilar-Aguilar, Elena
A1 Marcos-Pasero, Helena
A1 de la Iglesia, Rocío
A1 Ramos Ruiz, Ricardo
A1 Laparra-Llopis, Moisés
A1 Ramírez de Molina, Ana
A1 Gómez de Cedrón, Marta
AB Background: Obesity, mainly visceral obesity, causes a low-grade of chronic inflammation (meta-inflammation), associated with comorbidities such as type 2 diabetes, cardiovascular diseases, and certain cancers. Precision Nutrition aims to understand the bidirectional crosstalk between the genome and diet to improve human health. Additionally, by leveraging individual data, Precision Nutrition seeks to predict how people will respond to specific foods or dietary patterns, with the ultimate goal of providing personalized nutritional recommendations tailored to their unique needs and lifestyle factors, including poor dietary habits (e.g., high intake of sugar or saturated fatty acids, alcohol consumption, etc.) and sedentary habits, exacerbate obesity in genetically predisposed individuals. Genetic, metabolic, and environmental factors can play a crucial role during obesity. Objective: To investigate the effects of genetic variability in sweet taste receptors and their downstream signaling pathways in the gut–brain axis on anthropometry, biochemistry, and lifestyle variables. Methods: A sample of 676 volunteers (mean age of 42.22 ± 12 years, ranging from 18 to 73 years) from the database of the GENYAL platform for nutritional trials at the IMDEA Food Institute were included in this study. We present a first-in-class genetic chip, Glucosensing, designed to interrogate 25 single-nucleotide polymorphisms (SNPs) located in genes encoding sweet taste receptors and components of downstream signaling pathways. These include elements of the gut–brain axis and its associated metabolic networks, enabling a comprehensive analysis of individual variability in sweet taste perception and metabolic responses. Results: Several significant associations were found after correction for multiple comparisons, representing potential targets for personalized interventions.
PB MDPI
SN 2072-6643
YR 2025
FD 2025
LK https://hdl.handle.net/20.500.14352/120558
UL https://hdl.handle.net/20.500.14352/120558
LA eng
NO Wagner Reguero, S.; Fernández, L.P.; Colmenarejo, G.; Cruz-Gil, S.; Espinosa, I.; Molina, S.; Crespo, M.C.; Aguilar-Aguilar, E.; Marcos-Pasero, H.; de la Iglesia, R.; et al. Sweet Taste Receptors’ Genetic Variability in Advanced Potential Targets of Obesity. Nutrients 2025, 17, 1712. https://doi.org/10.3390/ nu17101712
NO Funding: Regional Government of Community of Madrid: (P2018/BAA-4343-ALIBIRD2020-CM and NutriSION-CM Y2020/BIO-6350); Ministerio de Ciencia e Innovacion, Spain: Grant PID2019-110183RB-C21 funded by MICIU/AEI/10.13039/501100011033 and grant PID2022-138295OBI00 funded by MICIU/AEI/10.13039/501100011033, and by “ERDF/EU”, REACT EU ProgramFACINGLCOVID-CM: (PD2022-004-REACT-EU); Industrial predoctoral program of Community of Madrid: (IND2018/BIO-10097).
NO Comunidad de Madrid
NO Ministerio de Ciencia e Innovación (España)
NO Agencia Estatal de Investigación (España)
NO European Commission
NO Ministerio de Ciencia, Innovación y Universidades (España)
DS Docta Complutense
RD 18 dic 2025