Connecting vascular aging and frailty in Alzheimer's disease.


Journal

Mechanisms of ageing and development
ISSN: 1872-6216
Titre abrégé: Mech Ageing Dev
Pays: Ireland
ID NLM: 0347227

Informations de publication

Date de publication:
04 2021
Historique:
received: 30 09 2020
revised: 05 01 2021
accepted: 26 01 2021
pubmed: 5 2 2021
medline: 20 11 2021
entrez: 4 2 2021
Statut: ppublish

Résumé

Aging plays an important role in the etiology of the most common age-related diseases (ARDs), including Alzheimer's disease (AD). The increasing number of AD patients and the lack of disease-modifying drugs warranted intensive research to tackle the pathophysiological mechanisms underpinning AD development. Vascular aging/dysfunction is a common feature of almost all ARDs, including cardiovascular (CV) diseases, diabetes and AD. To this regard, interventions aimed at modifying CV outcomes are under extensive investigation for their pleiotropic role in ameliorating and slowing down cognitive impairment in middle-life and elderly individuals. Evidence from observational and clinical studies confirm the notion that the earlier the interventions are conducted, the most favorable are the effects on cognitive function. Therefore, epidemiological research should focus on the early detection of deviations from a healthy cognitive aging trajectory, through the stratification of adult individuals according to the rate of aging. Here, we review the interplay between vascular and cognitive dysfunctions associated with aging, to disentangle the complex mechanisms underpinning the development and progression of neurodegenerative disorders, with a specific focus on AD.

Identifiants

pubmed: 33539904
pii: S0047-6374(21)00016-6
doi: 10.1016/j.mad.2021.111444
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

111444

Informations de copyright

Copyright © 2021 Elsevier B.V. All rights reserved.

Auteurs

Jacopo Sabbatinelli (J)

Department of Clinical and Molecular Sciences, Università Politecnica delle Marche, Ancona, Italy.

Deborah Ramini (D)

Department of Clinical and Molecular Sciences, Università Politecnica delle Marche, Ancona, Italy.

Angelica Giuliani (A)

Department of Clinical and Molecular Sciences, Università Politecnica delle Marche, Ancona, Italy. Electronic address: angelica.giuliani@staff.univpm.it.

Rina Recchioni (R)

Center of Clinical Pathology and Innovative Therapy, IRCCS INRCA, Ancona, Italy.

Liana Spazzafumo (L)

Epidemiologic Observatory, Regional Health Agency, Regione Marche, Ancona, Italy.

Fabiola Olivieri (F)

Department of Clinical and Molecular Sciences, Università Politecnica delle Marche, Ancona, Italy; Center of Clinical Pathology and Innovative Therapy, IRCCS INRCA, Ancona, Italy.

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Classifications MeSH