Abstract:We examined whether the pattern of middle- to late-life systemic inflammation was associated with white matter structural abnormalities in older adults. 1,532 participants (age=76.5; SD=5.4) underwent 3T brain MRI to quantify white matter hyperintensity (WMH) volume and whole-brain WM microstructural integrity (fractional anisotropy, mean diffusivity). High-sensitivity C-reactive protein (CRP), a marker of systemic inflammation, was measured at three visits (21 and 14 years before, and concurrent with, neuroim… Show more
“…Therefore, myostatin might directly decrease both lean mass and cognitive function, resulting in an association between them that might be stronger in men than women. Previous studies of chronic inflammation showed that it is associated with loss in lean mass and decline in white matter integrity 37–39 . Further studies are needed to understand the underlying mechanisms for the association of lean mass and dementia risk.…”
Introduction: A body of literature reported associations between late-life general adiposity measures (eg, body mass index) and dementia. Little is known about the association of late-life body composition with dementia risk. Methods: We determined this association among cognitively normal participants from the Cardiovascular Health Study-Cognition Study. Body composition was assessed by dual-energy x-ray absorptiometry in 1994-1995. Dementia was ascertained at annual follow-up from 1998-1999 to 2013. Associations of body composition with incident dementia were assessed by the Fine-Gray model. Result: Among 344 participants (mean age 78, 62.2% women), body composition was significantly different between men and women, despite similar body mass indexes (BMIs). Increased dementia risk was significantly associated with lower lean mass in men and marginally with low appendicular lean mass in women. Discussion: Decreased lean mass was an indicator of increased dementia risk in older adults. Studies should test whether preventing lean mass loss in older adults reduces dementia risk.
“…Therefore, myostatin might directly decrease both lean mass and cognitive function, resulting in an association between them that might be stronger in men than women. Previous studies of chronic inflammation showed that it is associated with loss in lean mass and decline in white matter integrity 37–39 . Further studies are needed to understand the underlying mechanisms for the association of lean mass and dementia risk.…”
Introduction: A body of literature reported associations between late-life general adiposity measures (eg, body mass index) and dementia. Little is known about the association of late-life body composition with dementia risk. Methods: We determined this association among cognitively normal participants from the Cardiovascular Health Study-Cognition Study. Body composition was assessed by dual-energy x-ray absorptiometry in 1994-1995. Dementia was ascertained at annual follow-up from 1998-1999 to 2013. Associations of body composition with incident dementia were assessed by the Fine-Gray model. Result: Among 344 participants (mean age 78, 62.2% women), body composition was significantly different between men and women, despite similar body mass indexes (BMIs). Increased dementia risk was significantly associated with lower lean mass in men and marginally with low appendicular lean mass in women. Discussion: Decreased lean mass was an indicator of increased dementia risk in older adults. Studies should test whether preventing lean mass loss in older adults reduces dementia risk.
“…Relatedly, behavioral risk factors, such as smoking and diet, are also related to WM microstructural integrity (Gons et al, 2011; Launer et al, 2015; Gu et al, 2016). Finally, serum measures of systemic inflammation have also been associated with lower FA and greater MD, suggesting a potential inflammatory mechanism for microstructural integrity loss (Walker et al, 2017, 2018).…”
Subclinical cerebrovascular disease is frequently identified in neuroimaging studies and is thought to play a role in the pathogenesis of cognitive disorders. Identifying the etiologies of different types of lesions may help investigators differentiate between age-related and pathological cerebrovascular damage in cognitive aging. In this review article, we aim to describe the epidemiology and etiology of various brain magnetic resonance imaging (MRI) measures of vascular damage in cognitively normal, older adult populations. We focus here on population-based prospective cohort studies of cognitively unimpaired older adults, as well as discuss the heterogeneity of MRI findings and their relationships with cognition. This review article emphasizes the need for a better understanding of subclinical cerebrovascular disease in cognitively normal populations, in order to more effectively identify and prevent cognitive decline in our rapidly aging population.
“…Such dysregulation of the immune system has been linked to slowed processing speed both in aging and primary autoimmune conditions (Eckert, 2011;Heringa et al, 2014;Hughes et al, 2011;Shucard et al, 2007), and our finding that it may be both detectable and predictive of faster declines in processing speed supports a potential upstream role of the immune system in cognitive aging. Commensurate with these findings, a recent study demonstrated that higher concentrations of a systemic inflammatory marker (C-reactive protein) in middle-tolate age was significantly associated with cerebral white matter injury 14-years later (Walker et al, 2018). These converging findings support the predictive validity of peripherally-based cytokine markers and the immune system as an important target to promote future brain health states.…”
Age-related cognitive decline is a public health problem, but highly diverse and difficult to predict. We captured non-overlapping cognitive phenotypes in high-functioning adults and identified baseline factors differentiating trajectories. 314 functionally normal adults (M=69y) completed 2+ visits. Participants with sample-based longitudinal slopes in memory or processing speed <−1SD were classified as "declining" on that measure. 29 and 50 individuals fell <−1SD on processing speed or memory slopes, respectively; 2.5% met criteria for both, who were excluded. At baseline, speed decliners demonstrated greater age, inflammation, and cognitive complaints compared to speed stable adults; memory decliners were more likely to be male, and had lower depressive symptoms, gray matter volumes, and white matter hyperintensities (WMH) compared to memory stable adults. Baseline speed, TNFα, and cognitive complaints accurately classified 96.3% of future speed decliners; baseline memory, sex, precuneal volume, and WMH accurately classified 88.5% of future memory decliners. There are discrete cognitive aging phenotypes reflecting nonoverlapping vulnerabilities in high-functioning adults. Early markers can predict cognition even within the "normal" spectrum and underscore therapeutic targets.
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