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      Biomarkers in Alzheimer disease: are we there yet?

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          Abstract

          The search for meaningful biomarkers is one of the hottest areas of Alzheimer research. These biomarkers should be specific, suitable for routine use in clinical practice, and indicate specific stages of the disease. Nevertheless, Alzheimer disease diagnosis is mostly based on clinical findings. Several potential Alzheimer disease biomarkers have been evaluated in blood and cerebrospinal fluid (CSF) and through brain imaging techniques (Figure 1). Recently, Pais et al. discussed methods that are either established or under development for early Alzheimer disease diagnosis.1 The most-cited blood and CSF biomarkers for diagnosing Alzheimer disease include the 42-amino acid form of amyloid-beta peptide (Aβ1-42), the Aβ1-42/Aβ1-40 ratio, total and phosphorylated fractions of tau proteins (T-Tau and P-Tau, respectively), neurofilament light chain (NFL) protein, phosphorylated tau at position threonine 181 (P-Tau181), and 217 (P-Tau217). It has been reported that in Alzheimer patients the Aβ1-42 /Aβ1-40 ratio decreases 14-20% in plasma and 50% in CSF, although plasma levels of T-Tau, P-Tau, NFL, and P-Tau181 increase. Significantly, NFL levels were found to be higher in Alzheimer patients and persons with mild cognitive impairment than in healthy controls. A longitudinal increase in NFL plasma levels also correlates with low CSF Aβ1-42 levels, high CSF levels of T-Tau and P-Tau, along with low brain fluorodeoxyglucose-positron emission tomography (PET) uptake.2 Recent publications have demonstrated that plasma P-Tau181 levels can predict long-term cognitive decline in healthy older adults. P-Tau181 was found to be 3.5 times higher in the plasma of Alzheimer patients than controls and frontotemporal dementia patients. Plasma P-Tau181 levels have been associated with CSF levels of P-Tau181, as well as with Aβ-PET and cortical tau protein deposition when measured by [18F]flortaucipir PET.3 These results demonstrate that plasma P-Tau181 could be a promising Alzheimer disease biomarker. CSF biomarkers have an advantage over peripheral blood markers in their direct contact with the brain and spinal cord. CSF, which represents various biochemical and metabolic profiles in the brain, could be a valuable source of information. The established CSF biomarkers for Alzheimer disease diagnosis include low levels of Aβ1-42 and the Aβ1-42/Aβ1-40 ratio, increased levels of T-Tau, P-Tau, NFL, P-Tau181, P-Tau217, and growth-associated protein 43 (GAP-43).4 Alzheimer disease triggers an accumulation of Aβ1-42 in the brain and, as a consequence, Aβ1-42 levels decrease in the CSF and bloodstream. CSF levels of T-tau and P-tau are elevated due to cortical neuronal loss and cortical tangle formation, respectively, while increased NFL levels are associated with neuroaxonal damage. P-Tau181 and P-Tau217 reflect abnormalities of tau metabolism in the brain. CSF levels of P-Tau181 are higher in Alzheimer patients than in other tauopathies, such as frontotemporal dementia. Importantly, the association between CSF P-Tau181 and Tau PET measures is moderate in Alzheimer disease and low in other dementias.5 [18F]flortaucipir and [18F]flutemetamol uptake, as well as CSF Aβ1-42, were more highly correlated with CSF levels of P-Tau217 than CSF P-Tau181.5 This indicates that P-Tau could be a compelling marker for Alzheimer disease diagnosis. High levels of GAP-43, a membrane protein related to the cytoplasmic area of axonal growth cones, were recently identified in the CSF of Alzheimer patients and were associated with cognitive impairment. The specificity of CSF levels of GAP-43 is supported by their association with neurofibrillary tangles and Aβ plaques in the hippocampus, amygdala, and cortex. These findings were not observed for α-synuclein or TAR DNA-binding protein 43 (TDP-43) pathology.6 Tau-selective PET tracers facilitate investigation of tau pathology in neurodegenerative disorders. Although [18F]flortaucipir differentiates Alzheimer disease from other neurodegenerative disorders, this tracer also shows high retention in the brains of the patients with a semantic variant of primary progressive aphasia. Other tau-selective PET tracers, including [18F]GTP1 (Genentech tau probe 1), [18F]MK-6240, and [18F]RO948, could overcome the potential confounding issues mentioned above. For example, [18F]RO948 had a high specificity for Alzheimer disease-type paired helical tau filaments outside the medial temporal lobe.7 Amyloid-β PET tracers, including the Pittsburgh compound-B [11C]-PIB, [18F]florbetapir, [18F]flutemetamol, and [18F]FC119S, can be used for longitudinal tracking of Alzheimer progression. Evaluating biomarkers through PET imaging in combination with CSF biochemical profiles may be essential for identifying brain areas where Aβ accumulation begins in patients, including increased levels of CSF Aβ1-42 but a negative Aβ PET scan.8 The emergence of novel biomarkers, such specific microRNA populations, downstream molecules associated with Aβ and tau toxicity, and ultrasensitive detection of seeding-competent Aβ and tau populations are currently being explored for use as early, low-invasive, sensitive, and specific diagnostic probes. Forthcoming research will reveal whether the coveted diagnostic test for Alzheimer disease is a real possibility. In conclusion, diagnostic tests that identify individuals for early treatment will have great significance and value. A blood-based Alzheimer test (i.e. low cost and minimally-invasive) would be preferable to the currently approved CSF and PET diagnostic tests. Plasma Aβ1-42, the Aβ1-42/1-40 ratio, and P-Tau181 may be beneficial for amyloid and tau pathology screening, while NFL may be useful for monitoring the progression of Alzheimer-type dementia. Currently under development, seeding aggregation assays9 are extremely sensitive techniques that exploit the functional properties of Aβ oligomers to seed the polymerization of monomeric Aβ. Recent advances in such innovative techniques may result in a blood-based diagnostic test for Alzheimer disease. Disclosure The authors report no conflicts of interest.

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          Cerebrospinal fluid p-tau217 performs better than p-tau181 as a biomarker of Alzheimer’s disease

          Cerebrospinal fluid (CSF) p-tau181 (tau phosphorylated at threonine 181) is an established biomarker of Alzheimer’s disease (AD), reflecting abnormal tau metabolism in the brain. Here we investigate the performance of CSF p-tau217 as a biomarker of AD in comparison to p-tau181. In the Swedish BioFINDER cohort (n = 194), p-tau217 shows stronger correlations with the tau positron emission tomography (PET) tracer [18F]flortaucipir, and more accurately identifies individuals with abnormally increased [18F]flortaucipir retention. Furthermore, longitudinal increases in p-tau217 are higher compared to p-tau181 and better correlate with [18F]flortaucipir uptake. P-tau217 correlates better than p-tau181 with CSF and PET measures of neocortical amyloid-β burden and more accurately distinguishes AD dementia from non-AD neurodegenerative disorders. Higher correlations between p-tau217 and [18F]flortaucipir are corroborated in an independent EXPEDITION3 trial cohort (n = 32). The main results are validated using a different p-tau217 immunoassay. These findings suggest that p-tau217 might be more useful than p-tau181 in the diagnostic work up of AD.
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            Diagnostic Performance of RO948 F 18 Tau Positron Emission Tomography in the Differentiation of Alzheimer Disease From Other Neurodegenerative Disorders

            Key Points Question How does RO948 F 18 positron emission tomographic scanning discriminate between Alzheimer disease and other neurodegenerative disorders in comparison with magnetic resonance imaging and cerebrospinal fluid measures? Findings In this diagnostic study including 613 patients from the Swedish BioFINDER-2 clinical trial, standard uptake value ratios of RO948 F 18 were higher in patients with Alzheimer disease dementia compared with cognitively unimpaired controls and patients with other neurodegenerative disorders; furthermore, RO948 F 18 outperformed magnetic resonance imaging and cerebrospinal fluid measures. Generally, tau positron emission tomographic positivity was confined to amyloid β–positive cases or MAPT R406W mutation carriers in this cohort; in patients with semantic variant primary progressive aphasia, RO948 F 18 retention was lower than that for flortaucipir F 18. Meaning These findings suggest that RO948 F 18 has a high specificity for Alzheimer disease–type tau and highlight its potential as a diagnostic marker in the workup of patients treated in memory clinics.
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              Staging β-Amyloid Pathology With Amyloid Positron Emission Tomography

              Can a longitudinally valid in vivo β-amyloid staging system be constructed for Alzheimer disease? In this multicenter longitudinal cohort study, a 4-level staging system using fluorine 18–labeled florbetapir positron emission tomography was defined using a combination of cerebrospinal fluid and positron emission tomography data. The β-amyloid stages had distinct associations with cerebrospinal fluid tau biomarkers, atrophy, and cognitive decline, had longitudinal validity in an analysis of transitions between stages, and were associated with distinct gene expression profiles; key results were validated in a replication cohort using fluorine 18-labeled flutemetamol positron emission tomography. Results of this study suggest that a novel β-amyloid staging system using positron emission tomography, in which stages are associated with different biological and clinically meaningful end points, can be used to track progression of Alzheimer disease longitudinally. This multicenter longitudinal cohort study of 741 participants uses in vivo β-amyloid cerebrospinal fluid and positron emission tomography findings to track progression of Alzheimer disease across 6 years of follow-up. Different brain regions appear to be involved during β-amyloid (Aβ) accumulation in Alzheimer disease (AD), but a longitudinally valid system to track Aβ stages in vivo using positron emission tomography (PET) is lacking. To construct a longitudinally valid in vivo staging system for AD using amyloid PET. Longitudinal multicenter cohort study using data accessed on August 20, 2018, from the Alzheimer’s Disease Neuroimaging Initiative database of scans performed from June 9, 2010, to July 12, 2018, from 741 persons: 304 without cognitive impairment, 384 with mild cognitive impairment, and 53 with AD dementia. Cerebrospinal fluid (CSF) Aβ42 and fluorine 18–labeled florbetapir ( 18 F-florbetapir) data were used to determine early, intermediate, and late regions of Aβ accumulation. β-Amyloid stages ranging from 0 to 3 were constructed using these composites. Each subsequent stage required involvement of more advanced regions. Patients were followed up at 2, 4, and 6 years. Replication and validation were conducted using an independent cohort (Swedish BioFINDER) and gene expression information from the Allen Human Brain Atlas database. Analyses were conducted August 21, 2018, to May 24, 2019. The main outcome was change in stage. Stages were compared for diagnosis, CSF biomarkers of tau, and longitudinal atrophy, cognitive measures, and regional gene expression. Transitions between stages were tested using longitudinal 18 F-florbetapir data. Among 641 participants with CSF Aβ42 data and at least two 18 F-florbetapir scans, 335 (52.3%) were male. The early region of Aβ accumulation included the precuneus, posterior cingulate, isthmus cingulate, insula, and medial and lateral orbitofrontal cortices. The late region included the lingual, pericalcarine, paracentral, precentral, and postcentral cortices. The intermediate region included remaining brain regions with increased accumulation rates. In 2072 PET scans from 741 participants, 2039 (98.4%) were unambiguously staged. At baseline, participants with stage 0 (n = 402) had a 14.7% (95% CI, 11.2%-18.1%) probability of progression to a higher stage; stage 1 (n = 21), 71.4% (95% CI, 50.0%-90.9%); and stage 2 (n = 79), 53.1% (95% CI, 42.2%-64.0%). Seven of the 741 participants (0.9%) reverted to a lower stage. Higher stages were associated with lower CSF Aβ42 concentrations (from stage 1 at baseline), greater CSF P-tau (from stage 1) and CSF T-tau (from stage 2), and accelerated cognitive decline (from stage 2) and atrophy (from stage 3), even when adjusting for clinical diagnosis. Key findings were replicated in the BioFINDER cohort (N = 474). The regions of different stages differed by gene expression profiles when using the transcriptome from the Allen Human Brain Atlas, especially involving genes associated with voltage-gated ion channel activity especially involving genes associated with voltage-gated ion channel activity, but also blood circulation, axon guidance, and lipid transportation. Results of this study suggest that this robust staging system of Aβ accumulation may be useful for monitoring patients throughout the course of AD. Progression through stages may depend on underlying selective vulnerability in different brain regions.
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                Author and article information

                Journal
                Braz J Psychiatry
                Braz J Psychiatry
                bjp
                Brazilian Journal of Psychiatry
                Associação Brasileira de Psiquiatria
                1516-4446
                1809-452X
                10 July 2020
                Jul-Aug 2020
                : 42
                : 4
                : 337-339
                Affiliations
                [1 ]Laboratório de Fisiopatologia Experimental, Programa de Pós-Graduação em Ciências da Saúde, Universidade do Extremo Sul Catarinense (UNESC), Criciúma, SC, Brazil
                [2 ]Department of Neurology, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
                [3 ]Centro Integrativo de Biología y Química Aplicada (CIBQA), Universidad Bernardo O’Higgins, Santiago, Chile
                [4 ]Translational Psychiatry Program, Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
                Author notes
                Correspondence: Tatiana Barichello, Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston, 1941 East Road, Suite 3140, Houston, TX, 77054, USA. E-mail: Tatiana.Barichello@ 123456uth.tmc.edu
                Author information
                http://orcid.org/0000-0003-0571-6764
                http://orcid.org/0000-0001-7776-8454
                Article
                10.1590/1516-4446-2020-0013
                7430384
                32667591
                596e8853-cb62-419b-9c11-144ac3ed5ebc

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 23 May 2020
                : 23 May 2020
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