Inter-Individual Responses to a Blueberry Intervention across Multiple Endpoints
Wang Y, Haskell-Ramsay C, Gallegos JL, Lodge JK
Nutrients · 2 citas
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Cómo se estudió
- Diseño
- Ensayo controlado aleatorizado (indexado por PubMed)
- Estudiado en
- Personas
- Resultado principal
- Marcadores de salud y funcionamiento
- Consumo medido con
- Comida provista por los investigadores
Quién lo pagó
- Financiación
- Financiación independiente
Según la declaración de financiación del texto completo.
Publicación
- Publicado
- 2024-03-20 · Nutrients · vol. 16 · número 6 · pág. 895
- Editorial
- Multidisciplinary Digital Publishing Institute
- Citado
- 3 citas · más que el 63% de estudios similares · 0.5× el promedio de su campo
- Referencias
- 62 trabajos
- Acceso
- Acceso abierto (revista) · CC-BY
- Áreas de investigación
- Phytochemicals and Antioxidant Activities · Nutritional Studies and Diet · Nutrition, Genetics, and Disease
- Palabras clave
- blueberry, dietary intervention, interindividual variability, vascular health, cognitive function, urinary metabolites, treatment response biomarkers, personalized nutrition, healthy adults
- MeSH
- humans, diet, biomarkers, blueberry plants, cognitive dysfunction
4 autores
- Yueyue Wang🇬🇧Northumbria University
- Crystal F. Haskell‐Ramsay🇬🇧Northumbria University
- José Lara🇬🇧Northumbria University
- John K. Lodge🇬🇧 · autor de correspondenciaLondon Metropolitan University
Resumen
El texto original del estudio, en el idioma en que se publicó.
Inter-individual variation exists in response to diet and in the endpoints related to vascular diseases and cognitive impairment. Therefore, the evaluation and characterisation of responses to a dietary intervention targeting these endpoints is important. A dietary intervention with 37 participants has been performed comparing two forms of blueberry, either whole fresh blueberry (160 g), freeze-dried blueberry powder (20 g) or a placebo control (microcrystalline cellulose), in a 1-week single-blinded cross-over randomised controlled trial (RCT) in a healthy population. The response to the intervention was calculated for each endpoint using the percentage change (±%) compared to the baseline. Extensive inter-individual variation was found in vascular health parameters (-141 to +525%) and cognitive domains (-114 to +96%) post-intervention, but there was no consistent response following the two interventions between and within participants for each endpoint measured. No significant putative discriminating urinary metabolites between interventions were found using supervised multivariate analysis. Although several discriminatory metabolites were found between the responder and non-responder groups, it was not possible to identify predictors of the response using receiver operating curve analysis. To conclude, this is the first blueberry intervention applying quartile divisions to characterise individual responses in vascular and cognitive endpoints following a specific dietary intervention; however, we did not find any consistency in the individual responses to the interventions, and we could not identify a predictive urinary metabolite as a potential biomarker for differentiation between responders and non-responders. However, the overall approach of defining a metabolic signature of response could be used in the future for tailored personalised nutritional advice.
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