Multi-Omics-based BIomarker Signatures of dietary Carbohydrates qUalITy and risk...
Multi-Omics-based BIomarker Signatures of dietary Carbohydrates qUalITy and risk of chronic diseaseS.
The prevalence of type 2 diabetes mellitus (T2D), cardiovascular disease (CVD), and dementia is rapidly increasing worldwide and is therefore a major public health concern. Carbohydrate intake (40-80%) represents the main source o...
ver más
¿Tienes un proyecto y buscas un partner? Gracias a nuestro motor inteligente podemos recomendarte los mejores socios y ponerte en contacto con ellos. Te lo explicamos en este video
Proyectos interesantes
RTI2018-101273-J-I00
DIGESTIBILIDAD IN VITRO Y ABSORCION DE CARBOHIDRATOS USANDO...
169K€
Cerrado
AGL2015-69986-R
EFICACIA DE NUEVOS PRODUCTOS COMBINANDO HIDROXICINAMATOS Y B...
200K€
Cerrado
CPP2021-008725
MEDICINA DE PRECISIÓN CONTRA LA DIABETES TIPO 2: Predicción...
428K€
Cerrado
PCI2018-093284
OBESIDAD Y DIABETES EN IBEROAMERICA: FACTORES DE RIESGO Y NU...
12K€
Cerrado
PCIN-2017-076
METABOTIPOS BASADOS EN LA DIETA Y EL MICROBIOMA PARA DETERMI...
150K€
Cerrado
PCIN-2016-007
METABOLISMO DE ACIDOS GRASOS-PUENTE ENTRE DIETA Y SALUD CARD...
100K€
Cerrado
Información proyecto BISCUITS
Duración del proyecto: 31 meses
Fecha Inicio: 2024-05-08
Fecha Fin: 2026-12-31
Fecha límite de participación
Sin fecha límite de participación.
Descripción del proyecto
The prevalence of type 2 diabetes mellitus (T2D), cardiovascular disease (CVD), and dementia is rapidly increasing worldwide and is therefore a major public health concern. Carbohydrate intake (40-80%) represents the main source of energy in most populations and the quality more than the quantity has a large effect on health. Recently, a carbohydrate quality index (CQI) emerged as a exposure that captures the combined and potentially synergistic effects of dietary glycemic index and intakes of total fiber, whole grains, and liquid or solid carbohydrates in a comprehensive manner. A high dietary carbohydrate quality assessed by the CQI has been associated with lower risk of T2D, CVD, and intermediate risk factors. However, the precise mechanisms of the associated beneficial effects offered by high CQI scores remain unresolved partially due to the lack of accurate biomarkers reflecting their exposure and the minimal information available on how CQI impacts the gut microbiota. The main objective of BISCUITS is to identify multi-omics signatures of dietary carbohydrate quality assessed by the CQI and evaluate their associations with the risk of chronic diseases in adult populations. We will integrate metabolomics and microbiota datasets using novel machine learning algorithms to identify combined panels of metabolites and microbial species reflecting the exposure to high CQI scores. We will also investigate the potential associations of these signatures with the risk of T2D, CVD, and dementia in two populations. Similar studies to this are not available in the literature and have the potential to discover novel biomarkers of CQI exposure and map biochemical mechanisms explaining the complex relationship between CQI and these diseases. This could open new avenues for the prevention and management of cardiometabolic and neurodegenerative diseases, resulting in easy-to-follow lifestyle recommendations and strategies that general population and patients can easily adopt.