Skip to Main Content (Press Enter)

Logo UNICATT
  • ×
  • Home
  • Corsi
  • Insegnamenti
  • Persone
  • Pubblicazioni
  • Attività
  • Competenze

UNI-FIND
Logo UNICATT

|

UNI-FIND

unicatt.it
  • ×
  • Home
  • Corsi
  • Insegnamenti
  • Persone
  • Pubblicazioni
  • Attività
  • Competenze
  1. Pubblicazioni

The “development of metabolic and functional markers of dementia in older people” (ODINO) study: Rationale, design and methods

Articolo
Data di Pubblicazione:
2020
Citazione:
Picca, A., Ronconi, D., Coelho-Junior, H. J., Calvani, R., Marini, F., Biancolillo, A., Gervasoni, J., Primiano, A., Pais, C., Meloni, E., Fusco, D., Lo Monaco, M. R., Bernabei, R., Camilla Cipriani, M., Marzetti, E., Liperoti, R., The “development of metabolic and functional markers of dementia in older people” (ODINO) study: Rationale, design and methods, <>, 2020; 10 (2): 1-14. [doi:10.3390/jpm10020022] [https://hdl.handle.net/10807/230749]
Abstract:
Mild cognitive impairment (MCI), also termed mild neurocognitive disorder, includes a heterogeneous group of conditions characterized by declines in one or more cognitive domains greater than that expected during "normal" aging but not severe enough to impair functional abilities. MCI has been associated with an increased risk of developing dementia and even considered an early stage of it. Therefore, noninvasively accessible biomarkers of MCI are highly sought after for early identification of the condition. Systemic inflammation, metabolic perturbations, and declining physical performance have been described in people with MCI. However, whether biological and functional parameters differ across MCI neuropsychological subtypes is presently debated. Likewise, the predictive value of existing biomarkers toward MCI conversion into dementia is unclear. The "develOpment of metabolic and functional markers of Dementia IN Older people" (ODINO) study was conceived as a multi-dimensional investigation in which multi-marker discovery will be coupled with innovative statistical approaches to characterize patterns of systemic inflammation, metabolic perturbations, and physical performance in older adults with MCI. The ultimate aim of ODINO is to identify potential biomarkers specific for MCI subtypes and predictive of MCI conversion into Alzheimer's disease or other forms of dementia over a three-year follow-up. Here, we describe the rationale, design, and methods of ODINO.
Tipologia CRIS:
Articolo in rivista, Nota a sentenza
Keywords:
Alzheimer’s disease; aging; biomarkers; cognitive decline; cytokines; metabolomics; multivariate analysis; neuroinflammation; person-tailored; physical performance
Elenco autori:
Picca, A.; Ronconi, D.; Coelho-Junior, H. J.; Calvani, Riccardo; Marini, F.; Biancolillo, A.; Gervasoni, Jacopo; Primiano, A.; Pais, C.; Meloni, E.; Fusco, Domenico; Lo Monaco, Maria Rita; Bernabei, Roberto; Camilla Cipriani, M.; Marzetti, Emanuele; Liperoti, Rosa
Link alla scheda completa:
https://publicatt.unicatt.it/handle/10807/230749
Link al Full Text:
https://publicatt.unicatt.it//retrieve/handle/10807/230749/698847/JPersMed2020.pdf
Pubblicato in:
JOURNAL OF PERSONALIZED MEDICINE
Journal
  • Aree Di Ricerca

Aree Di Ricerca

Settori (3)


LS5_11 - Neurological disorders (e.g. Alzheimer's disease, Huntington's disease, Parkinson's disease) - (2011)

Settore MED/09 - MEDICINA INTERNA

Settore MEDS-05/A - Medicina interna
  • Utilizzo dei cookie

Realizzato con VIVO | Designed by Cineca | 26.5.0.0