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2014, Alzheimer's & Dementia
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2 pages
1 file
Neurology, 2015
To compare the diagnostic accuracy of CSF biomarkers and amyloid PET for diagnosing early-stage Alzheimer disease (AD). From the prospective, longitudinal BioFINDER study, we included 122 healthy elderly and 34 patients with mild cognitive impairment who developed AD dementia within 3 years (MCI-AD). β-Amyloid (Aβ) deposition in 9 brain regions was examined with [(18)F]-flutemetamol PET. CSF was analyzed with INNOTEST and EUROIMMUN ELISAs. The results were replicated in 146 controls and 64 patients with MCI-AD from the Alzheimer's Disease Neuroimaging Initiative study. The best CSF measures for identifying MCI-AD were Aβ42/total tau (t-tau) and Aβ42/hyperphosphorylated tau (p-tau) (area under the curve [AUC] 0.93-0.94). The best PET measures performed similarly (AUC 0.92-0.93; anterior cingulate, posterior cingulate/precuneus, and global neocortical uptake). CSF Aβ42/t-tau and Aβ42/p-tau performed better than CSF Aβ42 and Aβ42/40 (AUC difference 0.03-0.12, p < 0.05). Using no...
Proceedings of the Japan Academy, Series B, 2014
Alzheimer's disease (AD) is the most common and devastating dementia. Simple and practical biomarkers for AD are urgently required for accurate diagnosis and to facilitate the development of disease-modifying interventions. The subjects for the study were selected on the basis of PiB amyloid imaging by PET. Forty PiB-positive (PiBD) individuals, including cognitively healthy controls (HC), and mild cognitive impairment and AD individuals, and 22 PiB-negative (PiB!) HC participated. Employing our novel highly sensitive immunoprecipitation-mass spectrometry, we measured plasma amyloid O-proteins (AOs; AO1-40 and AO1-42) and AOapproximate peptides (AOAPs), which were cleaved from amyloid precursor protein (APP). Among the AOAPs, APP669-711 appeared to be a good reference for deciphering pathological change of AO1-42. We evaluated the performance of the ratio of APP669-711 to AO1-42 (APP669-711/AO1-42) as a biomarker. APP669-711/AO1-42 significantly increased in the PiBD groups. The sensitivity and specificity to discriminate PiBD individuals from PiB! individuals were 0.925 and 0.955, respectively. Our plasma biomarker precisely surrogates cerebral amyloid deposition.
Clinical chemistry, 2015
Alzheimer disease (AD) is a devastating neurodegenerative disorder characterized by a progressive decline in cognitive function. In 2010, an estimated 36 million people worldwide had AD or a related dementia, with this number projected to double by 2030. The social and economic burden of AD is well documented and will be amplified by this increase in prevalence. The initial pathophysiologic changes of AD are found in the hippocampus region of the brain, disrupting memory and the ability to learn. AD progression is linked to nerve cell dysfunction and cell death due to the accumulation of 2 protein aggregates: -amyloid (A) 5 and tau. In the cerebrospinal fluid (CSF), these proteins are biomarkers for AD. Cleavage of the amyloid precursor protein (APP) generates varying lengths of A peptides (38-43 amino acids) that accumulate in the extracellular space. Of these monomers, A-42 is the major form associated with AD. In addition, tau entanglement is also associated with AD and consists of insoluble hyperphosphorylated tau protein in the intracellular space. Both total tau (t-tau) and phosphorylated tau (p-tau) proteins are measured and associated with AD. Currently, clinical trials are testing therapies that target these proteins in hopes to delay or halt the cognitive decline in AD patients. In this Q&A, we discuss the current state and future direction of biomarkers, assays, and therapies for AD with 3 experts. QUESTIONS Established Alzheimer's biomarkers include amyloid and tau protein in CSF, as well as imaging techniques that involve MRI and positron emission tomography (PET). What are the limitations of these biomarkers that restrict them mostly to research purposes? Erik Portelius: In the recently updated diagnostic criteria for AD (the International Working Group-2 criteria), the CSF AD biomarkers (A-42, t-tau, and p-tau) and neuroimaging with Pittsburgh compound B (PiB)-PET were included. Although MRI may mirror the disease progression and help to characterize the clinical phenotype, it does not qualify as a pathophysiological biomarker for the underlying disease process. There is a high concordance between decreased CSF A-42 concentrations and positive PiB-PET. Limitations of PiB-PET include its relatively high cost, as compared with lumbar puncture, and limited availability of scanning facilities for this procedure in proximity to memory clinics. In addition, the nonspecific binding of the radiotracers used with PiB-PET to white matter makes standardization of quantitative measurements complicated. The need for standardization of quantitative measurements holds true also for the CSF biomarkers. The major limitation with CSF biomarkers is that they require CSF sampling by lumbar puncture. Although this is a safe procedure, some patients get post-lumbar puncture headache.
Trends in Pharmacological Sciences, 2015
Neuropharmacology, 2010
The identification and characterization of amyloid-β (Aβ) and tau as the main pathological substrates of Alzheimer's disease (AD) has driven many efforts in search for suitable biomarkers for AD. In the last decade, research in this area has focused on developing a better understanding of the principles that govern protein deposition, mechanisms that link aggregation to toxicity and neuronal death, and a better understanding of protein dynamics in brain tissue, interstitial fluid and CSF. While Aβ and tau represent the two key pathological mediators of disease, other aspects of this multifaceted disease (e.g. oxidative stress, calcium-mediated toxicity, and neuroinflammation) are being unraveled, with the hope to develop a more comprehensive approach in exploring disease mechanisms. This has not only expanded possible areas for disease-modifying therapies, but has also allowed the introduction of novel, and potentially useful, fluid and radiological markers for the presence and progression of AD pathology. There is no doubt that the identification of several fluid and imaging biomarkers that can reliably detect the early stages of AD will have great implications in the design of clinical trials, in the selection of homogenous research populations, and in the assessment of disease outcomes. Markers with good diagnostic specificity will aid researchers in differentiating individuals with preclinical and probable AD from individuals who do not have AD pathology or have other dementing disorders. Markers that change with disease progression may offer utility in assessing the rates of disease progression and the efficacy of potential therapeutic agents on AD pathology. For both of these purposes, CSF Aβ42, amyloid imaging, and CSF tau appear to be very good markers of the presence of AD pathology as well as predictive or who will progress from MCI to AD.
Journal of Alzheimer's Disease
We have previously investigated, discovered, and replicated plasma protein biomarkers for use to triage potential trials participants for PET or cerebrospinal fluid measures of Alzheimer's disease (AD) pathology. This study sought to undertake validation of these candidate plasma biomarkers in a large, multi-center sample collection. Targeted plasma analyses of 34 proteins with prior evidence for prediction of in vivo pathology were conducted in up to 1,000 samples from cognitively healthy elderly individuals, people with mild cognitive impairment, and in patients with AD-type dementia, selected from the EMIF-AD catalogue. Proteins were measured using Luminex xMAP, ELISA, and Meso Scale Discovery assays. Seven proteins replicated in their ability to predict in vivo amyloid pathology. These proteins form a biomarker panel that, along with age, could significantly discriminate between individuals with high and low amyloid pathology with an area under the curve of 0.74. The performance of this biomarker panel remained consistent when tested in apolipoprotein E 4 non-carrier individuals only. This blood-based panel is biologically relevant, measurable using practical immunocapture arrays, and could significantly reduce the cost incurred to clinical trials through screen failure.
Journal of Personalized Medicine
Alzheimer’s disease (AD) is the most common neurodegenerative disease among the elderly, affecting millions of people worldwide and clinically characterized by a progressive and irreversible cognitive decline. The rapid increase in the incidence of AD highlights the need for an easy, efficient and accurate diagnosis of the disease in its initial stages in order to halt or delay the progression. The currently used diagnostic methods rely on measures of amyloid-β (Aβ), phosphorylated (p-tau) and total tau (t-tau) protein levels in the cerebrospinal fluid (CSF) aided by advanced neuroimaging techniques like positron emission tomography (PET) and magnetic resonance imaging (MRI). However, the invasiveness of these procedures and the high cost restrict their utilization. Hence, biomarkers from biological fluids obtained using non-invasive methods and novel neuroimaging approaches provide an attractive alternative for the early diagnosis of AD. Such biomarkers may also be helpful for bett...
Frontiers in Aging Neuroscience, 2014
Alzheimer's & dementia : the journal of the Alzheimer's Association, 2018
We studied whether fully automated Elecsys cerebrospinal fluid (CSF) immunoassay results were concordant with positron emission tomography (PET) and predicted clinical progression, even with cutoffs established in an independent cohort. Cutoffs for Elecsys amyloid-β(Aβ), total tau/Aβ(1-42), and phosphorylated tau/Aβ(1-42) were defined against [F]flutemetamol PET in Swedish BioFINDER (n = 277) and validated against [F]florbetapir PET in Alzheimer's Disease Neuroimaging Initiative (n = 646). Clinical progression in patients with mild cognitive impairment (n = 619) was studied. CSF total tau/Aβ(1-42) and phosphorylated tau/Aβ(1-42) ratios were highly concordant with PET classification in BioFINDER (overall percent agreement: 90%; area under the curve: 94%). The CSF biomarker statuses established by predefined cutoffs were highly concordant with PET classification in Alzheimer's Disease Neuroimaging Initiative (overall percent agreement: 89%-90%; area under the curves: 96%) and ...
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