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      A cerebrospinal fluid biosignature for the diagnosis of Alzheimer’s disease

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          Abstract

          Alzheimer’s disease (AD) and other dementia (OD) are major and increasing global health challenges. The World Health Organization (WHO) estimates that around 50 million people worldwide have dementia, of which AD is the most common form, potentially contributing to 60 to 70% of these cases. The alarming global burden of dementia is projected to reach 82 million by 2030 and 152 million people by 2050.1 AD biomarkers play an essential role in detecting the disease in its early stages, thus allowing initiation of treatment. Being in direct contact with the brain and spinal cord, cerebrospinal fluid (CSF) has been known to act as a valuable source of biomarkers that are representative of various biochemical and metabolic profiles of the brain. The established CSF biomarkers for diagnosis of AD are the 42-amino acid form of amyloid-beta (Aβ42) and the total and phosphorylated fractions of tau protein (T-tau and P-tau, respectively). CSF Aβ42 levels are low in patients with AD when compared with healthy controls, due to increased amyloid deposition in the brain of these patients. Tau protein is a microtubule-associated protein expressed in neurons, and is considered as an important biomarker of several disorders in which axonal damage is implicated. In AD, T-tau and P-tau concentrations in the CSF are elevated due to cortical neuronal loss and cortical tangle formation, respectively. The most recent well-established biomarker for AD diagnosis is the neurofilament light chain (NFL) protein. NFL is a marker of neuroaxonal damage, and its levels are elevated in the CSF of patients with AD and other neurological conditions as compared with healthy controls. These high NFL levels in the CSF are due to prominent axonal destruction triggered by neurodegeneration. A recent systematic review and meta-analysis by Olsson et al. recommends using CSF Aβ42, T-tau, P-tau, and NFL levels as a panel of diagnostic biomarkers for AD in clinical practice and research2 (Figure 1). In this issue of the Brazilian Journal of Psychiatry, Radanovic et al. evaluated Aβ1-42, P-tau, and T-tau in the CSF of healthy controls (n=54), patients with mild cognitive impairment (MCI) (n=82), patients with AD (n=46), and patients with OD (n=26), and tested for correlation with Mini-Mental State Examination (MMSE) scores. CSF from patients with AD contained higher levels of P-tau and T-tau and lower levels of Aβ1-42, as well as a lower Aβ1-42/P-tau ratio, as compared to healthy controls and those with MCI, but not to the OD group. By evaluating the coefficient of correlation between CSF biomarkers and MMSE, the authors found that the Aβ1-42 levels in the CSF and MMSE scores correlated weakly in the MCI (0.247), moderately in the OD (0.440), and weakly and inversely (-0.145) in the AD group. T-tau CSF levels had a weak, inverse correlation with MMSE scores in the control (-0.284) and MCI (-0.241) groups; this correlation was moderate to high in the OD (-0.665) group. P-tau CSF levels presented a weak negative correlation with the AD group (-0.343) and moderate negative correlation with the OD group (-0.540).3 The authors did not find a strong correlation between CSF biomarkers and MMSE scores; however, an important contribution of this study was to reaffirm the importance of the CSF biomarkers Aβ1-42, P-tau, and T-tau to distinguish patients with AD from controls and OD in the Brazilian population. The limitations of adopting MMSE scores in AD clinical trials was demonstrated by Chapman et al., who examined the diagnostic accuracy of MMSE and Logical Memory (LM) cutoffs used in AD trials and diagnostic studies, tested using subjects from the NACC database diagnosed with normal cognition (n=10,741), MCI (n=5,883), or AD dementia (n=6,814). The results from this large-cohort study revealed that MMSE and LM scores might not be appropriate tools for the selection of subjects to enroll in multicenter studies designed to develop therapeutics and diagnostic methods for AD.4 Another study, by Olsson et al., demonstrated the association between cognition and CSF-NFL levels. Their wide-ranging sample included healthy controls (n=75) and patients with MCI (n=114), AD (n=397), frontotemporal dementia (FTD) (n=96), amyotrophic lateral sclerosis (n=68), Parkinson’s disease (PD) (n=41), PD with MCI (n=19), PD dementia (n=29), dementia with Lewy bodies (n=33), corticobasal syndrome (n=21), and progressive supranuclear palsy (n=20). The patients were followed longitudinally for cognitive testing over a period of 1 to 18 years. The CSF biomarkers evaluated included Aβ1-42, P-tau, T-tau, and NFL. Compared to other markers, CSF levels of NFL gradually increased among the control, MCI, and AD groups. These results delineate the increased positive association of NFL with cognitive impairment. As expected, the AD group presented low levels of Aβ42 and high levels of P-tau, T-tau, and NFL compared to the control group. As this study included patients with neurodegenerative disorders, the outcome also emphasizes that CSF NFL levels appear to reflect the intensity of neurodegeneration, and that NFL has the potential to assist in differentiation of AD from FTD.5 To date, the biosignature of AD has comprised CSF levels of T-tau, P-tau, and Aβ42, as well as plasma T-tau. However, a growing body of evidence suggests NFL is a strong CSF biomarker that should be included in this biosignature. Disclosure The authors report no conflicts of interest.

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          Association of Cerebrospinal Fluid Neurofilament Light Protein Levels With Cognition in Patients With Dementia, Motor Neuron Disease, and Movement Disorders

          Neuronal and axonal destruction are hallmarks of neurodegenerative diseases, but it is difficult to estimate the extent and progress of the damage in the disease process.
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            Mini Mental State Examination and Logical Memory scores for entry into Alzheimer’s disease trials

            Background Specific cutoff scores on the Mini Mental State Examination (MMSE) and the Logical Memory (LM) test are used to determine inclusion in Alzheimer’s disease (AD) clinical trials and diagnostic studies. These screening measures have known psychometric limitations, but no study has examined the diagnostic accuracy of the cutoff scores used to determine entry into AD clinical trials and diagnostic studies. Methods ClinicalTrials.gov entries were reviewed for phases II and III active and recruiting AD studies using the MMSE and LM for inclusion. The diagnostic accuracy of MMSE and LM-II cutoffs used in AD trials and diagnostic studies was examined using 23,438 subjects with normal cognition, mild cognitive impairment (MCI), and AD dementia derived from the National Alzheimer’s Coordinating Center database. Results MMSE and LM cutoffs used in current AD clinical trials and diagnostic studies had limited diagnostic accuracy, particularly for distinguishing between normal cognition and MCI, and MCI from AD dementia. The MMSE poorly discriminated dementia stage. Conclusions The MMSE and LM may result in inappropriate subject enrollment in large-scale, multicenter studies designed to develop therapeutics and diagnostic methods for AD.
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              Correlation between CSF biomarkers of Alzheimer’s disease and global cognition in a psychogeriatric clinic cohort

              Objective: The relationship between biomarkers of amyloid-beta aggregation (Aβ1-42) and/or neurodegeneration (Tau protein) in cerebrospinal fluid (CSF) and cognitive decline is still unclear. We aimed to ascertain whether CSF biomarkers correlate with cognitive performance in healthy and cognitively impaired subjects, starting from clinical diagnoses. Methods: We tested for correlation between CSF biomarkers and Mini-Mental State Examination (MMSE) scores in 208 subjects: 54 healthy controls, 82 with mild cognitive impairment (MCI), 46 with Alzheimer’s disease (AD), and 26 with other dementias (OD). Results: MMSE correlated weakly with all CSF biomarkers in the overall sample (r = 0.242, p < 0.0006). Aβ1-42 and MMSE correlated weakly in MCI (r = 0.247, p = 0.030), and moderately in OD (r = 0.440, p = 0.027). t-Tau showed a weak inverse correlation with MMSE in controls (r = -0.284, p = 0.043) and MCI (r = -0.241, p = 0.036), and a moderate/strong correlation in OD (r = 0.665), p = 0.0003). p-Tau correlated weakly with MMSE in AD (r = -0.343, p = 0.026) and moderately in OD (r = -0.540, p = 0.0005). The Aβ1-42/p-Tau ratio had a moderate/strong correlation with MMSE in OD (r = 0.597, p = 0.001). Conclusion: CSF biomarkers correlated best with cognitive performance in OD. t-Tau correlated weakly with cognition in controls and patients with MCI. In AD, only p-Tau levels correlated with cognitive performance. This pattern, which has been reported previously, seems to indicate that CSF biomarkers might not be reliable as indicators of disease severity.
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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
                26 November 2019
                Nov-Dec 2019
                : 41
                : 6
                : 467-468
                Affiliations
                [1 ]Translational Psychiatry Program, Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
                [2 ]Laboratório de Fisiopatologia Experimental, Programa de Pós-Graduação em Ciências da Saúde, Universidade do Extremo Sul Catarinense (UNESC), Criciúma, SC, Brazil
                Author information
                http://orcid.org/0000-0001-7776-8454
                Article
                10.1590/1516-4446-2019-0629
                6899362
                31826090
                161ab26e-7ebf-4c9f-aa5a-96bc2955910d

                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.

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