Circulating serum metabolites as predictors of dementia: a machine learning approach in a 21-year follow-up of the Whitehall II cohort study

BACKGROUND: Age is the strongest risk factor for dementia and there is considerable interest in identifying scalable, blood-based biomarkers in predicting dementia. We examined the role of midlife serum metabolites using a machine learning approach and determined whether the selected metabolites imp...

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Detalles Bibliográficos
Autores principales: Machado-Fragua, Marcos D., Landré, Benjamin, Chen, Mathilde, Fayosse, Aurore, Dugravot, Aline, Kivimaki, Mika, Sabia, Séverine, Singh-Manoux, Archana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9513883/
https://www.ncbi.nlm.nih.gov/pubmed/36163029
http://dx.doi.org/10.1186/s12916-022-02519-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9513883/
https://www.ncbi.nlm.nih.gov/pubmed/36163029
http://dx.doi.org/10.1186/s12916-022-02519-6

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