| Literature DB >> 25278166 |
Correne A DeCarlo1, Holly A Tuokko2, Dorothy Williams3, Roger A Dixon4, Stuart W S MacDonald2.
Abstract
The search for reliable early indicators of age-related cognitive decline represents a critical avenue for progress in aging research. Chronological age is a commonly used developmental index; however, it offers little insight into the mechanisms underlying cognitive decline. In contrast, biological age (BioAge), reflecting the vitality of essential biological systems, represents a promising operationalization of developmental time. Current BioAge models have successfully predicted age-related cognitive deficits. Research on aging-related cognitive function indicates that the interaction of multiple risk and protective factors across the human lifespan confers individual risk for late-life cognitive decline, implicating a multi-causal explanation. In this review, we explore current BioAge models, describe three broad yet pathologically relevant biological processes linked to cognitive decline, and propose a novel operationalization of BioAge accounting for both moderating and causal mechanisms of cognitive decline and dementia. We argue that a multivariate and mechanistic BioAge approach will lead to a greater understanding of disease pathology as well as more accurate prediction and early identification of late-life cognitive decline.Entities:
Keywords: Biological age; Cognitive aging; Early identification; Inflammation; Oxidative stress; Vascular health
Mesh:
Year: 2014 PMID: 25278166 PMCID: PMC4258131 DOI: 10.1016/j.arr.2014.09.003
Source DB: PubMed Journal: Ageing Res Rev ISSN: 1568-1637 Impact factor: 10.895