Return to search

Insights on Alzheimer's Disease Etiology from Network Approaches in Healthy Aging

<p> The etiology of Alzheimer&rsquo;s disease involves the presymptomatic development and progression of amyloid-&beta; and tau in healthy aging. Amyloid-&beta; and tau are naturally occurring proteins that can form abnormal aggregates&mdash;amyloid-&beta; plaques and neurofibrillary tangles&mdash;which constitute the pathological hallmarks of Alzheimer&rsquo;s disease. The initial formation of these aggregates occurs decades before the onset of cognitive symptoms, in individuals otherwise considered to be healthy and unimpaired. This dissertation hinges on <i> in-vivo</i> PET imaging of amyloid-&beta; and tau in humans using PIB-PET and AV1451-PET to explore this presymptomatic phase of Alzheimer&rsquo;s disease&mdash;when pathology is present without detectable symptoms. I place particular emphasis on amyloid-&beta; pathology&mdash;understanding the factors that underlie vulnerability to amyloid-&beta; as well as identifying the initial sources and progressive spread of amyloid-&beta; pathology in healthy aging. My focus on amyloid-&beta; is consistent with the predominant framework for Alzheimer&rsquo;s disease, the amyloid cascade hypothesis, which contends that amyloid-&beta; initiates a slow and ultimately deadly chain of events that results, decades later, in deteriorating memory and breakdown of cognition. In recognition that Alzheimer&rsquo;s disease does not reflect a focal disorder, but rather network failure of large-scale brain systems, I adapt a network-based framework to account for the role of the complex interdependencies between distributed brain regions&mdash;of glucose metabolism from FDG-PET, of brain activity from resting-state functional MRI, and of amyloid-&beta; from PIB-PET. Examining metabolic brain networks, I reveal widespread, highly systematic reorganization of glucose metabolism in old age&mdash;well beyond what has been revealed using other methods&mdash;that is more heterogeneous in those possessing both substantial amyloid-&beta; and genetic risk for Alzheimer&rsquo;s disease. Further, I demonstrate that the topology of early-life &ldquo;metabolic inefficiency&rdquo;&mdash;a novel metric that removes the potential association of glucose metabolism with highly connected hubs&mdash;explains the topology of amyloid-&beta; in healthy aging. Finally, I provide evidence that very early amyloid-&beta; accumulation, in those without substantial amyloid-&beta; pathology, is multifocal and broadly distributed across brain networks&mdash;consistent with shared tissue vulnerability, not transneuronal spread, being the driving force of accumulation of amyloid-&beta; pathology. These findings support the notion that shared tissue vulnerability of a metabolic origin drives widespread, systematic accumulation of amyloid-&beta; in healthy aging. Future work should uncover the nature and origin of metabolic tissue vulnerability to amyloid-&beta;, exploring the complex chain of events that drive widespread age-related reorganization&mdash;especially of cerebral glucose metabolism&mdash;and its links other age-related changes and the onset of pathological accumulation of amyloid-&beta;.</p><p>

Identiferoai:union.ndltd.org:PROQUEST/oai:pqdtoai.proquest.com:10821941
Date11 September 2018
CreatorsArnemann, Katelyn Laurel
PublisherUniversity of California, Berkeley
Source SetsProQuest.com
LanguageEnglish
Detected LanguageEnglish
Typethesis

Page generated in 0.0018 seconds