The “develOpment of metabolic and functional markers of Dementia IN Older people” (ODINO) Study: Rationale, Design and Methods

Journal of Personalized Medicine

Federico Marini¹  Alessandra Biancolillo²  Jacopo Gervasoni³  Riccardo Calvani³  Roberto Bernabei³  MariaRita Lo Monaco³  Cristina Pais³  Domenico Fusco³  MariaCamilla Cipriani³  Emanuele Marzetti³  Aniello Primiano³  Eleonora Meloni³  Anna Picca³  Rosa Liperoti³  HélioJ. Coelho-Junior⁴  Daniela Ronconi⁴ 

[1] Department of Chemistry, Sapienza Università di Roma, 00185 Rome, Italy;Department of Physical and Chemical Sciences, Università degli Studi dell’Aquila, 67100 L’Aquila, Italy;Fondazione Policlinico Universitario “Agostino Gemelli” IRCCS, 00168 Rome, Italy;Università Cattolica del Sacro Cuore, 00168 Rome, Italy;

关键词: aging;    biomarkers;    cytokines;    cognitive decline;    Alzheimer’s disease;    metabolomics;   

DOI  :  10.3390/jpm10020022

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown