IntroductionThe Alzheimer's Disease Research Summits of 2012 and 2015 incorporated experts from academia, industry, and nonprofit organizations to develop new research directions to transform our... Show moreIntroductionThe Alzheimer's Disease Research Summits of 2012 and 2015 incorporated experts from academia, industry, and nonprofit organizations to develop new research directions to transform our understanding of Alzheimer's disease (AD) and propel the development of critically needed therapies. In response to their recommendations, big data at multiple levels are being generated and integrated to study network failures in disease. We used metabolomics as a global biochemical approach to identify peripheral metabolic changes in AD patients and correlate them to cerebrospinal fluid pathology markers, imaging features, and cognitive performance.MethodsFasting serum samples from the Alzheimer's Disease Neuroimaging Initiative (199 control, 356 mild cognitive impairment, and 175 AD participants) were analyzed using the AbsoluteIDQ-p180 kit. Performance was validated in blinded replicates, and values were medication adjusted.Results Multivariable-adjusted analyses showed that sphingomyelins and ether-containing phosphatidylcholines were altered in preclinical biomarker-defined AD stages, whereas acylcarnitines and several amines, including the branched-chain amino acid valine and α-aminoadipic acid, changed in symptomatic stages. Several of the analytes showed consistent associations in the Rotterdam, Erasmus Rucphen Family, and Indiana Memory and Aging Studies. Partial correlation networks constructed for Aβ1–42, tau, imaging, and cognitive changes provided initial biochemical insights for disease-related processes. Coexpression networks interconnected key metabolic effectors of disease.DiscussionMetabolomics identified key disease-related metabolic changes and disease-progression-related changes. Defining metabolic changes during AD disease trajectory and its relationship to clinical phenotypes provides a powerful roadmap for drug and biomarker discovery. Show less
While aging remains one of the most significant risk factors for development of Alzheimer disease (AD), increasing evidence strongly points to the potential roles of cerebrovascular and white... Show moreWhile aging remains one of the most significant risk factors for development of Alzheimer disease (AD), increasing evidence strongly points to the potential roles of cerebrovascular and white matter abnormalities in the disease development. A better understanding of the manner in which these abnormalities contribute to disease progression can be achieved by in vivo characterization of AD related pathologies. To this end, MR based techniques serve as effective non-invasive tools to longitudinally monitor changes in AD brain. In this thesis, a variety of MR based techniques were optimized and employed to longitudinally monitor the AD progression in transgenic mouse models of the disease at 9.4T and 17.6T. In Chapter 2, age-dependent blood flow alterations were examined in a Tg2576 mouse model of Alzheimer's disease using MR angiography at 17.6T. AD is linked to abnormalities in the vascular system. In Chapter 3, in vivo T2 changes were longitudinally monitored in the corpus callosum, of the Tg2576 mice. In Chapter 4, age-dependent regional brain T1 and T2 changes in healty mice were established at 17.6T. In vivo imaging of these mouse models at ultra-high magnetic field strengths can permit a better understanding of the underlying cellular mechanism of AD. Show less
Proteins are essential for organisms and participate in virtually every process within cells. Knowledge about the structure of proteins provides crucial information about their function in... Show moreProteins are essential for organisms and participate in virtually every process within cells. Knowledge about the structure of proteins provides crucial information about their function in biological mechanisms. In determining the structure of proteins with biophysical approaches, electron paramagnetic resonance (EPR) is rapidly gaining ground. The aim of this thesis is to provide insight in how broad the application of EPR can be to study proteins, in particular those which are difficult if not impossible to study with other approaches. The focus of this thesis is to investigate the aggregation and misfolding of intrinsically disordered proteins and to determine the structure of disordered parts of proteins with EPR. Specifically, the amyloid β (Aβ) peptide, the α-synuclein (αS) protein, and the light-harvesting protein CP29 are studied. Show less
