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Haußmann R, Homeyer P, Brandt MD, Donix M. [Prognostic and diagnostic value of cerebrospinal fluid analysis in neurodegenerative dementia diseases]. DER NERVENARZT 2022; 93:1236-1242. [PMID: 35670835 DOI: 10.1007/s00115-022-01339-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 05/16/2022] [Indexed: 11/25/2022]
Abstract
Cerebrospinal fluid (CSF) analysis is an important diagnostic tool in the assessment of dementia. For the differentiation of Alzheimer's disease from other etiologies of dementia syndromes, established biological markers could be helpful to confirm a distinctive neuropathology. Whereas negative CSF findings can rule out the majority of primarily neurodegenerative disorders, overlapping biomarker profiles remain a diagnostic challenge. Therefore, it is important to interpret CSF results within a specific clinical context. Furthermore, atypical CSF data can be challenging and require profound knowledge of preanalytics, biomarker profiles and the broad spectrum of diseases associated with cognitive decline. Beyond the Alzheimer's disease clinical spectrum, current studies aim at investigating CSF biomarkers to better differentiate tauopathies, TDP43(Transactive response DNA binding protein 43 kDa)-proteinopathies and synucleinopathies.
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Affiliation(s)
- R Haußmann
- Klinik und Poliklinik für Psychiatrie und Psychotherapie, Universitätsklinikum Carl Gustav Carus, Technische Universität Dresden, Fetscherstr. 74, 01307, Dresden, Deutschland.
| | - P Homeyer
- Klinik und Poliklinik für Psychiatrie und Psychotherapie, Universitätsklinikum Carl Gustav Carus, Technische Universität Dresden, Fetscherstr. 74, 01307, Dresden, Deutschland
| | - M D Brandt
- Klinik und Poliklinik für Neurologie, Universitätsklinikum Carl Gustav Carus, Technische Universität Dresden, Fetscherstr. 74, 01307, Dresden, Deutschland.,DZNE, Deutsches Zentrum für Neurodegenerative Erkrankungen, Dresden, Deutschland
| | - M Donix
- Klinik und Poliklinik für Psychiatrie und Psychotherapie, Universitätsklinikum Carl Gustav Carus, Technische Universität Dresden, Fetscherstr. 74, 01307, Dresden, Deutschland.,DZNE, Deutsches Zentrum für Neurodegenerative Erkrankungen, Dresden, Deutschland
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Stoccoro A, Baldacci F, Ceravolo R, Giampietri L, Tognoni G, Siciliano G, Migliore L, Coppedè F. Increase in Mitochondrial D-Loop Region Methylation Levels in Mild Cognitive Impairment Individuals. Int J Mol Sci 2022; 23:ijms23105393. [PMID: 35628202 PMCID: PMC9142993 DOI: 10.3390/ijms23105393] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 05/04/2022] [Accepted: 05/10/2022] [Indexed: 12/25/2022] Open
Abstract
Methylation levels of the mitochondrial displacement loop (D-loop) region have been reported to be altered in the brain and blood of Alzheimer’s disease (AD) patients. Moreover, a dynamic D-loop methylation pattern was observed in the brain of transgenic AD mice along with disease progression. However, investigations on the blood cells of AD patients in the prodromal phases of the disease have not been performed so far. The aim of this study was to analyze D-loop methylation levels by means of the MS-HRM technique in the peripheral blood cells of 14 mild cognitive impairment (MCI) patients, 18 early stage AD patients, 70 advanced stage AD patients, and 105 healthy control subjects. We found higher D-loop methylation levels in MCI patients than in control subjects and AD patients. Moreover, higher D-loop methylation levels were observed in control subjects than in AD patients in advanced stages of the disease, but not in those at early stages. The present pilot study shows that peripheral D-loop methylation levels differ in patients at different stages of AD pathology, suggesting that further studies deserve to be performed in order to validate the usefulness of D-loop methylation analysis as a peripheral biomarker for the early detection of AD.
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Affiliation(s)
- Andrea Stoccoro
- Department of Translational Research and of New Surgical and Medical Technologies, University of Pisa, Via Roma 55, 56126 Pisa, Italy;
- Correspondence: (A.S.); (F.C.); Tel.: +39-0502-218549 (A.S.); +39-0502-218544 (F.C.)
| | - Filippo Baldacci
- Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy; (F.B.); (R.C.); (L.G.); (G.T.); (G.S.)
| | - Roberto Ceravolo
- Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy; (F.B.); (R.C.); (L.G.); (G.T.); (G.S.)
| | - Linda Giampietri
- Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy; (F.B.); (R.C.); (L.G.); (G.T.); (G.S.)
| | - Gloria Tognoni
- Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy; (F.B.); (R.C.); (L.G.); (G.T.); (G.S.)
| | - Gabriele Siciliano
- Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy; (F.B.); (R.C.); (L.G.); (G.T.); (G.S.)
| | - Lucia Migliore
- Department of Translational Research and of New Surgical and Medical Technologies, University of Pisa, Via Roma 55, 56126 Pisa, Italy;
| | - Fabio Coppedè
- Department of Translational Research and of New Surgical and Medical Technologies, University of Pisa, Via Roma 55, 56126 Pisa, Italy;
- Correspondence: (A.S.); (F.C.); Tel.: +39-0502-218549 (A.S.); +39-0502-218544 (F.C.)
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3
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Lin N, Gao J, Mao C, Sun H, Lu Q, Cui L. Differences in Multimodal Electroencephalogram and Clinical Correlations Between Early-Onset Alzheimer's Disease and Frontotemporal Dementia. Front Neurosci 2021; 15:687053. [PMID: 34421518 PMCID: PMC8374312 DOI: 10.3389/fnins.2021.687053] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2021] [Accepted: 07/02/2021] [Indexed: 11/24/2022] Open
Abstract
Background Alzheimer’s disease (AD) and frontotemporal dementia (FTD) are the two main types of dementia. We investigated the electroencephalogram (EEG) difference and clinical correlation in early-onset Alzheimer’s disease (EOAD), and FTD using multimodal EEG analyses. EOAD had more severe EEG abnormalities than late-onset AD (LOAD). Group comparisons between EOAD and LOAD were also performed. Methods Thirty patients diagnosed with EOAD, nine patients with LOAD, and 14 patients with FTD (≤65 y) were recruited (2008.1–2020.2), along with 24 healthy controls (≤65 y, n = 18; >65 y, n = 6). Clinical data were reviewed. Visual EEG, EEG microstate, and spectral analyses were performed. Results Compared to controls, markedly increased mean microstate duration, reduced mean occurrence, and reduced global field power (GFP) peaks per second were observed in EOAD and FTD. We found increased durations of class B in EOAD and class A in FTD. EOAD had reduced occurrences in classes A, B, and C, while only class C occurrence was reduced in FTD. The visual EEG results did not differ between AD and FTD. Microstate B showed correlations with activities of daily living score (r = 0.780, p = 0.008) and cerebrospinal fluid (CSF) Aβ42 (r = −0.833, p = 0.010) in EOAD. Microstate D occurrence was correlated with the CSF Aβ42 level in FTD (r = 0.786, p = 0.021). Spectral analysis revealed a general slowing EEG, which may contribute to microstate dynamic loss. Power in delta was significantly higher in EOAD than in FTD all over the head. In addition, EOAD had a marked increased duration and decreased occurrence than late-onset AD (LOAD), with no group differences in visual EEG results. Conclusion The current study found that EOAD and FTD had different EEG changes, and microstate had an association with clinical severity and CSF biomarkers. EEG microstate is more sensitive than visual EEG and may be useful for the differentiation between AD and FTD. The observations support that EEG can be a potential biomarker for the diagnosis and assessment of early-onset dementias.
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Affiliation(s)
- Nan Lin
- Department of Neurology, Peking Union Medical College Hospital, Beijing, China
| | - Jing Gao
- Department of Neurology, Peking Union Medical College Hospital, Beijing, China
| | - Chenhui Mao
- Department of Neurology, Peking Union Medical College Hospital, Beijing, China
| | - Heyang Sun
- Department of Neurology, Peking Union Medical College Hospital, Beijing, China
| | - Qiang Lu
- Department of Neurology, Peking Union Medical College Hospital, Beijing, China
| | - Liying Cui
- Department of Neurology, Peking Union Medical College Hospital, Beijing, China
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Jung NY, Kim ES, Kim HS, Jeon S, Lee MJ, Pak K, Lee JH, Lee YM, Lee K, Shin JH, Ko JK, Lee JM, Yoon JA, Hwang C, Choi KU, Lee EC, Seong JK, Huh GY, Kim DS, Kim EJ. Comparison of Diagnostic Performances Between Cerebrospinal Fluid Biomarkers and Amyloid PET in a Clinical Setting. J Alzheimers Dis 2021; 74:473-490. [PMID: 32039853 DOI: 10.3233/jad-191109] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
The diagnostic performances of cerebrospinal fluid (CSF) biomarkers and amyloid positron emission tomography (PET) were compared by examining the association and concordance or discordance between CSF Aβ1-42 and amyloid PET, after determining our own cut-off values for CSF Alzheimer's disease (AD) biomarkers. Furthermore, we evaluated the ability of CSF biomarkers and amyloid PET to predict clinical progression. CSF Aβ1-42, t-tau, and p-tau levels were analyzed in 203 individuals [27 normal controls, 38 mild cognitive impairment (MCI), 62 AD dementia, and 76 patients with other neurodegenerative diseases] consecutively recruited from two dementia clinics. We used both visual and standardized uptake value ratio (SUVR)-based amyloid PET assessments for analyses. The association of CSF biomarkers with amyloid PET SUVR, hippocampal atrophy, and cognitive function were investigated by linear regression analysis, and the risk of conversion from MCI to AD dementia was assessed using a Cox proportional hazards model. CSF p-tau/Aβ1-42 and t-tau/Aβ1-42 exhibited the best diagnostic accuracies among the CSF AD biomarkers examined. Correlations were observed between CSF biomarkers and global SUVR, hippocampal volume, and cognitive function. Overall concordance and discordance between CSF Aβ1-42 and amyloid PET was 77% and 23%, respectively. Baseline positive CSF Aβ1-42 for MCI demonstrated a 5.6-fold greater conversion risk than negative CSF Aβ1-42 . However, amyloid PET findings failed to exhibit significant prognostic value. Therefore, despite presence of a significant correlation between the CSF Aβ1-42 level and SUVR of amyloid PET, and a relevant concordance between CSF Aβ1-42 and amyloid PET, baseline CSF Aβ1-42 better predicted AD conversion.
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Affiliation(s)
- Na-Yeon Jung
- Department of Neurology, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Yangsan, Republic of Korea.,Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan, Republic of Korea
| | - Eun Soo Kim
- Department of Anesthesia and Pain Medicine, Pusan National University Hospital, School of Medicine, Pusan National University, Busan, Republic of Korea
| | - Hyang-Sook Kim
- Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan, Republic of Korea
| | - Sumin Jeon
- Department of Neurology, Pusan National University Hospital, Pusan National University School of Medicine and Medical Research Institute, Busan, Republic of Korea
| | - Myung Jun Lee
- Department of Neurology, Pusan National University Hospital, Pusan National University School of Medicine and Medical Research Institute, Busan, Republic of Korea
| | - Kyoungjune Pak
- Department of Nuclear Medicine, Pusan National University Hospital, Pusan National University School of Medicine, Busan, Republic of Korea
| | - Jae-Hyeok Lee
- Department of Neurology, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Yangsan, Republic of Korea.,Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan, Republic of Korea
| | - Young Min Lee
- Department of Psychiatry, Pusan National University Hospital, Pusan National University School of Medicine, Busan, Republic of Korea
| | - Kangyoon Lee
- Department of Psychiatry, Pusan National University Hospital, Pusan National University School of Medicine, Busan, Republic of Korea
| | - Jin-Hong Shin
- Department of Neurology, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Yangsan, Republic of Korea.,Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan, Republic of Korea
| | - Jun Kyeung Ko
- Department of Neurosurgery, Medical Research Institute, Pusan National University Hospital, Busan, Republic of Korea
| | - Jae Meen Lee
- Department of Neurosurgery, Medical Research Institute, Pusan National University Hospital, Busan, Republic of Korea
| | - Jin A Yoon
- Department of Rehabilitation Medicine, Pusan National University School of Medicine and Biomedical Research Institute, Pusan National University Hospital, Busan, Republic of Korea
| | - Chungsu Hwang
- Department of Pathology, Pusan National University School of Medicine, Yangsan, Republic of Korea
| | - Kyung-Un Choi
- Department of Pathology, Pusan National University School of Medicine, Yangsan, Republic of Korea
| | - Eun Chong Lee
- School of Biomedical Engineering, Korea University, Seoul, Republic of Korea
| | - Joon-Kyung Seong
- School of Biomedical Engineering, Korea University, Seoul, Republic of Korea
| | - Gi Yeong Huh
- Department of Forensic Medicine, Pusan National University School of Medicine, Yangsan, Republic of Korea
| | - Dae-Seong Kim
- Department of Neurology, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Yangsan, Republic of Korea.,Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan, Republic of Korea
| | - Eun-Joo Kim
- Department of Neurology, Pusan National University Hospital, Pusan National University School of Medicine and Medical Research Institute, Busan, Republic of Korea
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Campese N, Palermo G, Del Gamba C, Beatino MF, Galgani A, Belli E, Del Prete E, Della Vecchia A, Vergallo A, Siciliano G, Ceravolo R, Hampel H, Baldacci F. Progress regarding the context-of-use of tau as biomarker of Alzheimer's disease and other neurodegenerative diseases. Expert Rev Proteomics 2021; 18:27-48. [PMID: 33545008 DOI: 10.1080/14789450.2021.1886929] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Introduction: Tau protein misfolding and accumulation in toxic species is a critical pathophysiological process of Alzheimer's disease (AD) and other neurodegenerative disorders (NDDs). Tau biomarkers, namely cerebrospinal fluid (CSF) total-tau (t-tau), 181-phosphorylated tau (p-tau), and tau-PET tracers, have been recently embedded in the diagnostic criteria for AD. Nevertheless, the role of tau as a diagnostic and prognostic biomarker for other NDDs remains controversial.Areas covered: We performed a systematical PubMed-based review of the most recent advances in tau-related biomarkers for NDDs. We focused on papers published from 2015 to 2020 assessing the diagnostic or prognostic value of each biomarker.Expert opinion: The assessment of tau biomarkers in alternative easily accessible matrices, through the development of ultrasensitive techniques, represents the most significant perspective for AD-biomarker research. In NDDs, novel tau isoforms (e.g. p-tau217) or proteolytic fragments (e.g. N-terminal fragments) may represent candidate diagnostic and prognostic biomarkers and may help monitoring disease progression. Protein misfolding amplification assays, allowing the identification of different tau strains (e.g. 3 R- vs. 4 R-tau) in CSF, may constitute a breakthrough for the in vivo stratification of NDDs. Tau-PET may help tracking the spatial-temporal evolution of tau pathophysiology in AD but its application outside the AD-spectrum deserves further studies.
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Affiliation(s)
- Nicole Campese
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Giovanni Palermo
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Claudia Del Gamba
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | | | - Alessandro Galgani
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Elisabetta Belli
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Eleonora Del Prete
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | | | - Andrea Vergallo
- GRC N° 21, Alzheimer Precision Medicine (APM), AP-HP, Pitié-Salpêtrière Hospital, Boulevard De L'hôpital, Sorbonne University, Paris, France
| | - Gabriele Siciliano
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Roberto Ceravolo
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Harald Hampel
- GRC N° 21, Alzheimer Precision Medicine (APM), AP-HP, Pitié-Salpêtrière Hospital, Boulevard De L'hôpital, Sorbonne University, Paris, France
| | - Filippo Baldacci
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.,GRC N° 21, Alzheimer Precision Medicine (APM), AP-HP, Pitié-Salpêtrière Hospital, Boulevard De L'hôpital, Sorbonne University, Paris, France
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Kokkinou M, Beishon LC, Smailagic N, Noel-Storr AH, Hyde C, Ukoumunne O, Worrall RE, Hayen A, Desai M, Ashok AH, Paul EJ, Georgopoulou A, Casoli T, Quinn TJ, Ritchie CW. Plasma and cerebrospinal fluid ABeta42 for the differential diagnosis of Alzheimer's disease dementia in participants diagnosed with any dementia subtype in a specialist care setting. Cochrane Database Syst Rev 2021; 2:CD010945. [PMID: 33566374 PMCID: PMC8078224 DOI: 10.1002/14651858.cd010945.pub2] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
BACKGROUND Dementia is a syndrome that comprises many differing pathologies, including Alzheimer's disease dementia (ADD), vascular dementia (VaD) and frontotemporal dementia (FTD). People may benefit from knowing the type of dementia they live with, as this could inform prognosis and may allow for tailored treatment. Beta-amyloid (1-42) (ABeta42) is a protein which decreases in both the plasma and cerebrospinal fluid (CSF) of people living with ADD, when compared to people with no dementia. However, it is not clear if changes in ABeta42 are specific to ADD or if they are also seen in other types of dementia. It is possible that ABeta42 could help differentiate ADD from other dementia subtypes. OBJECTIVES To determine the accuracy of plasma and CSF ABeta42 for distinguishing ADD from other dementia subtypes in people who meet the criteria for a dementia syndrome. SEARCH METHODS We searched MEDLINE, and nine other databases up to 18 February 2020. We checked reference lists of any relevant systematic reviews to identify additional studies. SELECTION CRITERIA We considered cross-sectional studies that differentiated people with ADD from other dementia subtypes. Eligible studies required measurement of participant plasma or CSF ABeta42 levels and clinical assessment for dementia subtype. DATA COLLECTION AND ANALYSIS Seven review authors working independently screened the titles and abstracts generated by the searches. We collected data on study characteristics and test accuracy. We used the second version of the 'Quality Assessment of Diagnostic Accuracy Studies' (QUADAS-2) tool to assess internal and external validity of results. We extracted data into 2 x 2 tables, cross-tabulating index test results (ABeta42) with the reference standard (diagnostic criteria for each dementia subtype). We performed meta-analyses using bivariate, random-effects models. We calculated pooled estimates of sensitivity, specificity, positive predictive values, positive and negative likelihood ratios, and corresponding 95% confidence intervals (CIs). In the primary analysis, we assessed accuracy of plasma or CSF ABeta42 for distinguishing ADD from other mixed dementia types (non-ADD). We then assessed accuracy of ABeta42 for differentiating ADD from specific dementia types: VaD, FTD, dementia with Lewy bodies (DLB), alcohol-related cognitive disorder (ARCD), Creutzfeldt-Jakob disease (CJD) and normal pressure hydrocephalus (NPH). To determine test-positive cases, we used the ABeta42 thresholds employed in the respective primary studies. We then performed sensitivity analyses restricted to those studies that used common thresholds for ABeta42. MAIN RESULTS We identified 39 studies (5000 participants) that used CSF ABeta42 levels to differentiate ADD from other subtypes of dementia. No studies of plasma ABeta42 met the inclusion criteria. No studies were rated as low risk of bias across all QUADAS-2 domains. High risk of bias was found predominantly in the domains of patient selection (28 studies) and index test (25 studies). The pooled estimates for differentiating ADD from other dementia subtypes were as follows: ADD from non-ADD: sensitivity 79% (95% CI 0.73 to 0.85), specificity 60% (95% CI 0.52 to 0.67), 13 studies, 1704 participants, 880 participants with ADD; ADD from VaD: sensitivity 79% (95% CI 0.75 to 0.83), specificity 69% (95% CI 0.55 to 0.81), 11 studies, 1151 participants, 941 participants with ADD; ADD from FTD: sensitivity 85% (95% CI 0.79 to 0.89), specificity 72% (95% CI 0.55 to 0.84), 17 studies, 1948 participants, 1371 participants with ADD; ADD from DLB: sensitivity 76% (95% CI 0.69 to 0.82), specificity 67% (95% CI 0.52 to 0.79), nine studies, 1929 participants, 1521 participants with ADD. Across all dementia subtypes, sensitivity was greater than specificity, and the balance of sensitivity and specificity was dependent on the threshold used to define test positivity. AUTHORS' CONCLUSIONS Our review indicates that measuring ABeta42 levels in CSF may help differentiate ADD from other dementia subtypes, but the test is imperfect and tends to misdiagnose those with non-ADD as having ADD. We would caution against the use of CSF ABeta42 alone for dementia classification. However, ABeta42 may have value as an adjunct to a full clinical assessment, to aid dementia diagnosis.
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Affiliation(s)
- Michelle Kokkinou
- MRC London Institute of Medical Sciences, Imperial College London, London, UK
| | - Lucy C Beishon
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
| | - Nadja Smailagic
- Institute of Public Health, University of Cambridge , Cambridge, UK
| | | | - Chris Hyde
- Exeter Test Group, College of Medicine and Health, University of Exeter Medical School, University of Exeter, Exeter , UK
| | - Obioha Ukoumunne
- NIHR CLAHRC South West Peninsula (PenCLAHRC), University of Exeter Medical School, Exeter, UK
| | | | - Anja Hayen
- Department of Psychology and Clinical Language Sciences, University of Reading, Reading, UK
| | - Meera Desai
- Department of Experimental Psychology, University of Oxford, Oxford, UK
| | - Abhishekh Hulegar Ashok
- MRC London Institute of Medical Sciences, Imperial College London, London, UK
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College , London, UK
| | - Eleanor J Paul
- MRC London Institute of Medical Sciences, Imperial College London, London, UK
- Institute of Clinical Sciences (ICS), Faculty of Medicine, Imperial College London, London, UK
| | | | - Tiziana Casoli
- Center for Neurobiology of Aging, IRCCS INRCA, Ancona, Italy
| | - Terry J Quinn
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - Craig W Ritchie
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
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7
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Cousins KAQ, Irwin DJ, Wolk DA, Lee EB, Shaw LMJ, Trojanowski JQ, Da Re F, Gibbons GS, Grossman M, Phillips JS. ATN status in amnestic and non-amnestic Alzheimer's disease and frontotemporal lobar degeneration. Brain 2020; 143:2295-2311. [PMID: 32666090 DOI: 10.1093/brain/awaa165] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2019] [Revised: 02/27/2020] [Accepted: 03/27/2020] [Indexed: 12/13/2022] Open
Abstract
Under the ATN framework, CSF analytes provide evidence of the presence or absence of Alzheimer's disease pathological hallmarks: amyloid plaques (A), phosphorylated tau (T), and accompanying neurodegeneration (N). Still, differences in CSF levels across amnestic and non-amnestic variants or due to co-occurring pathologies might lead to misdiagnoses. We assess the diagnostic accuracy of CSF markers for amyloid, tau, and neurodegeneration in an autopsy cohort of 118 Alzheimer's disease patients (98 amnestic; 20 non-amnestic) and 64 frontotemporal lobar degeneration patients (five amnestic; 59 non-amnestic). We calculated between-group differences in CSF concentrations of amyloid-β1-42 peptide, tau protein phosphorylated at threonine 181, total tau, and the ratio of phosphorylated tau to amyloid-β1-42. Results show that non-amnestic Alzheimer's disease patients were less likely to be correctly classified under the ATN framework using independent, published biomarker cut-offs for positivity. Amyloid-β1-42 did not differ between amnestic and non-amnestic Alzheimer's disease, and receiver operating characteristic curve analyses indicated that amyloid-β1-42 was equally effective in discriminating both groups from frontotemporal lobar degeneration. However, CSF concentrations of phosphorylated tau, total tau, and the ratio of phosphorylated tau to amyloid-β1-42 were significantly lower in non-amnestic compared to amnestic Alzheimer's disease patients. Receiver operating characteristic curve analyses for these markers showed reduced area under the curve when discriminating non-amnestic Alzheimer's disease from frontotemporal lobar degeneration, compared to discrimination of amnestic Alzheimer's disease from frontotemporal lobar degeneration. In addition, the ATN framework was relatively insensitive to frontotemporal lobar degeneration, and these patients were likely to be classified as having normal biomarkers or biomarkers suggestive of primary Alzheimer's disease pathology. We conclude that amyloid-β1-42 maintains high sensitivity to A status, although with lower specificity, and this single biomarker provides better sensitivity to non-amnestic Alzheimer's disease than either the ATN framework or the phosphorylated-tau/amyloid-β1-42 ratio. In contrast, T and N status biomarkers differed between amnestic and non-amnestic Alzheimer's disease; standard cut-offs for phosphorylated tau and total tau may thus result in misclassifications for non-amnestic Alzheimer's disease patients. Consideration of clinical syndrome may help improve the accuracy of ATN designations for identifying true non-amnestic Alzheimer's disease.
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Affiliation(s)
| | - David J Irwin
- Department of Neurology, University of Pennsylvania, Philadelphia, USA
| | - David A Wolk
- Department of Neurology, University of Pennsylvania, Philadelphia, USA
| | - Edward B Lee
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, USA
| | - Leslie M J Shaw
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, USA
| | - John Q Trojanowski
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, USA
| | - Fulvio Da Re
- School of Medicine and Surgery, Milan Center for Neuroscience, University of Milano-Bicocca, Milan, Italy
| | - Garrett S Gibbons
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, USA
| | - Murray Grossman
- Department of Neurology, University of Pennsylvania, Philadelphia, USA
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8
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Constantinides VC, Paraskevas GP, Boufidou F, Bourbouli M, Stefanis L, Kapaki E. Cerebrospinal fluid biomarker profiling in corticobasal degeneration: Application of the AT(N) and other classification systems. Parkinsonism Relat Disord 2020; 82:44-49. [PMID: 33246219 DOI: 10.1016/j.parkreldis.2020.11.016] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2020] [Revised: 11/09/2020] [Accepted: 11/15/2020] [Indexed: 10/23/2022]
Abstract
INTRODUCTION Total tau (τT), phosphorylated tau (τP-181) and amyloid beta (Aβ42) are cerebrospinal fluid (CSF) biomarkers of Alzheimer's disease (AD). There is no consensus on the interpretation criteria of these biomarkers. The aim of this study was to apply three different sets of criteria for CSF AD biomarker interpretation in a cohort of corticobasal degeneration (CBD) patients. METHOD SForty patients fulfilling diagnostic criteria for "probable CBD" were included. The AT(N), BIOMARKAPD/ABSI and the τP-181/Aβ42 ratio criteria were applied. RESULTS The AT(N) criteria categorized 50% of "probable CBD" patients as AD, and 62.5% as harboring amyloid pathology. The BIOMARKAPD/ABSI and τP- 181/Aβ42 criteria categorized ~40% of "probable CBD" patients as AD. DISCUSSION Use of different interpretation criteria for CSF AD biomarkers produces diverse results. AD pathology is common in patients fulfilling "probable" CBD criteria. CBD diagnostic criteria may have suboptimal positive predictive value. A consensus regarding interpretation criteria of CSF AD biomarkers is pivotal.
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Affiliation(s)
- Vasilios C Constantinides
- Department of Neurology, National and Kapodistrian University of Athens, School of Medicine, Eginition Hospital, Neurochemistry and Biomarkers Unit, Greece; Department of Neurology, National and Kapodistrian University of Athens, School of Medicine, Eginition Hospital, Division of Cognitive, Movement Disorders and Epilepsy, Greece.
| | - George P Paraskevas
- Department of Neurology, National and Kapodistrian University of Athens, School of Medicine, Eginition Hospital, Neurochemistry and Biomarkers Unit, Greece; Department of Neurology, National and Kapodistrian University of Athens, School of Medicine, Attikon University General Hospital, Division of Cognitive and Movement Disorders, Greece
| | - Fotini Boufidou
- Department of Neurology, National and Kapodistrian University of Athens, School of Medicine, Eginition Hospital, Neurochemistry and Biomarkers Unit, Greece
| | - Mara Bourbouli
- Department of Neurology, National and Kapodistrian University of Athens, School of Medicine, Eginition Hospital, Neurochemistry and Biomarkers Unit, Greece
| | - Leonidas Stefanis
- Department of Neurology, National and Kapodistrian University of Athens, School of Medicine, Eginition Hospital, Division of Cognitive, Movement Disorders and Epilepsy, Greece
| | - Elisabeth Kapaki
- Department of Neurology, National and Kapodistrian University of Athens, School of Medicine, Eginition Hospital, Neurochemistry and Biomarkers Unit, Greece; Department of Neurology, National and Kapodistrian University of Athens, School of Medicine, Eginition Hospital, Division of Cognitive, Movement Disorders and Epilepsy, Greece
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9
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Casoli T, Paolini S, Fabbietti P, Fattoretti P, Paciaroni L, Fabi K, Gobbi B, Galeazzi R, Rossi R, Lattanzio F, Pelliccioni G. Cerebrospinal fluid biomarkers and cognitive status in differential diagnosis of frontotemporal dementia and Alzheimer's disease. J Int Med Res 2019; 47:4968-4980. [PMID: 31524025 PMCID: PMC6833432 DOI: 10.1177/0300060519860951] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Objective This study aimed to determine the most appropriate cognitive and cerebrospinal fluid (CSF) biomarker setting to distinguish frontotemporal dementia (FTD) from Alzheimer’s disease (AD). Method Patients with FTD, those with AD, and those without dementia were enrolled in this study. CSF amyloid-ß 42 (Aß42), total (t)-tau, and phosphorylated (p)-tau concentrations were determined by enzyme-linked immunosorbent assays. Cognition was evaluated by the Mini-Mental State Examination (MMSE) and its domain scores. The associations of CSF biomarkers with cognitive measures were examined using regression models and the diagnostic value of CSF biomarkers was determined by receiver operating characteristics curves. Results CSF Aß42 levels were lower, whereas t-tau/Aß42 and p-tau/Aß42 ratios were higher in patients with AD compared with those with FTD. Some MMSE domain scores were different in FTD and AD, but they did not improve the ability to distinguish between the two pathologies. Poor temporal orientation scores were associated with low Aß42 levels only in patients with FTD. The p-tau/Aß42 ratio reached sufficient levels of sensitivity and specificity to discriminate FTD with primary progressive aphasia from AD. Conclusions The ratio of CSF p-tau/Aß42 is a sensitive and specific biomarker for discriminating patients with primary progressive aphasia from those with AD.
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Affiliation(s)
- Tiziana Casoli
- Center for Neurobiology of Aging, IRCCS INRCA, Ancona, Italy
| | - Susy Paolini
- Neurology Unit, Geriatric Hospital, IRCCS INRCA, Ancona, Italy
| | - Paolo Fabbietti
- Diagnostic Unit of Geriatric Pharmacoepidemiology, IRCCS INRCA, Cosenza, Italy
| | | | - Lucia Paciaroni
- Neurology Unit, Geriatric Hospital, IRCCS INRCA, Ancona, Italy
| | - Katia Fabi
- Neurology Unit, Geriatric Hospital, IRCCS INRCA, Ancona, Italy
| | - Beatrice Gobbi
- Neurology Unit, Geriatric Hospital, IRCCS INRCA, Ancona, Italy
| | - Roberta Galeazzi
- Clinical Laboratory & Molecular Diagnostics, IRCCS INRCA, Ancona, Italy
| | - Roberto Rossi
- Diagnostic and Interventional Radiology Unit, IRCCS INRCA, Ancona, Italy
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10
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Potential Diagnostic Value of Red Blood Cells α-Synuclein Heteroaggregates in Alzheimer's Disease. Mol Neurobiol 2019; 56:6451-6459. [PMID: 30826968 DOI: 10.1007/s12035-019-1531-4] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2018] [Accepted: 02/15/2019] [Indexed: 12/31/2022]
Abstract
A plethora of complex misfolded protein combinations have been found in Alzheimer disease (AD) brains besides the classical pathological hallmarks. Recently, α-synuclein (α-syn) and its heterocomplexes with amyloid-β (Aβ) and tau have been suggested to be involved in the pathophysiological processes of neurodegenerative diseases. These pathological features are not limited to the brain, but can be also found in peripheral fluids. In this respect, red blood cells (RBCs) have been suggested as a good model to investigate the biochemical alterations of neurodegeneration. Our aim is to find whether RBC concentrations of α-syn and its heterocomplexes (i.e., α-syn/Aβ and α-syn/tau) were different in AD patients compared with healthy controls (HC). The levels of homo- and heteroaggregates of α-syn, Aβ and tau, were analyzed in a cohort of AD patients at early stage either with dementia or prodromal symptoms (N = 39) and age-matched healthy controls (N = 39). All AD patients received a biomarker-based diagnosis (low cerebrospinal fluid levels of Aβ peptide combined with high cerebrospinal fluid concentrations of total tau and/or phospho-tau proteins; alternatively, a positivity to cerebral amyloid-PET scan). Our results showed lower concentrations of α-syn and its heterocomplexes (i.e., α-syn/Aβ and α-syn/tau) in RBCs of AD patients with respect to HC. RBC α-syn/Aβ as well as RBC α-syn/tau heterodimers discriminated AD participants from HC with fair accuracy, whereas RBC α-syn concentrations differentiated poorly the two groups. Although additional investigations are required, these data suggest α-syn heteroaggregates in RBCs as potential tool in the diagnostic work-up of early AD diagnosis.
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11
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Abstract
Neurodegenerative diseases represent a daunting challenge in clinical diagnosis and management. Biomarkers that might aid in the diagnosis of these devastating and globally important diseases are urgently sought and required. Here we describe the application and state of development of a range of cerebrospinal fluid biomarkers in common neurodegenerative disorders including Alzheimer's disease, frontotemporal dementia and prion diseases.
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Affiliation(s)
- Thalia T Robey
- Neurodegenerative Disorders Research Pty Ltd, 4 Lawrence Avenue, West Perth, Western Australia 6005, Australia
| | - Peter K Panegyres
- Neurodegenerative Disorders Research Pty Ltd, 4 Lawrence Avenue, West Perth, Western Australia 6005, Australia
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12
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Cerebrospinal Fluid and Plasma Tau as a Biomarker for Brain Tauopathy. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2019; 1184:393-405. [PMID: 32096052 DOI: 10.1007/978-981-32-9358-8_29] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
Cerebrospinal fluid (CSF) tau and phosphorylated tau (ptau) are definite biomarkers of Alzheimer's disease (AD). After discovery of presence and increased levels tau in CSF from AD patients using specific ELISA, numerous reports revealed that CSF levels of tau are increased in AD and brain injury, phosphorylated tau are specifically increased in AD. Many large cohort studies also confirmed that natural course of CSF tau and ptau levels initiated from cognitively unimpaired AD stage after longstanding progress of brain Aß amyloidosis. Close correlation with neuroimaging findings of Tau PET and with deterioration of cognitive function domains have been elucidated. CSF tau also increase in neurodegeneration and acute brain injury. Global standardization, assay technology inventions, and research of tau kinetics from brain synthesis and clearance into CSF are developing. Trace amount of plasma p-tau assay are also validated. Development of these studies provide that CSF tau is the biomarker of CNS neurodegeneration and CSF ptau is the specific biomarker of CNS tauopathy. Assays of CSF and plasma tau and ptau are essential tools not only for prediction and diagnosis of AD and but for newly developing disease modified therapies of AD.
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13
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Tonacci A, Billeci L. Olfactory Testing in Frontotemporal Dementia: A Literature Review. Am J Alzheimers Dis Other Demen 2018; 33:342-352. [PMID: 29742909 PMCID: PMC10852515 DOI: 10.1177/1533317518775037] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/03/2024]
Abstract
Frontotemporal dementia (FTD) is a heterogeneous disorder featuring language impairment, personality changes, and executive defects, often due to the frontotemporal lobar degeneration (FTLD). Both FTD and FTLD are often associated with olfactory impairment, early biomarker for neurodegeneration, which can be evaluated with different techniques, among which low-cost olfactory tests are widely used. Therefore, we conducted a review of the literature focusing on papers published between January 1, 2007, and June 12, 2017, investigating the usefulness of olfactory testing in FTD/FTLD. A general decrease in the olfactory identification ability was seen in most of the articles and, taken together with a preserved odor discrimination, reveals a higher order impairment, possibly linked to cognitive decrease or language impairments, and not to a specific deficit of the olfactory system. This evidence could represent a useful add-on to the current literature, increasing the diagnostic value of olfactory assessment, particularly in cases where differential diagnosis is difficult.
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Affiliation(s)
- Alessandro Tonacci
- Clinical Physiology Institute, National Research Council of Italy (IFC-CNR), Pisa, Italy
| | - Lucia Billeci
- Clinical Physiology Institute, National Research Council of Italy (IFC-CNR), Pisa, Italy
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Lombardi G, Polito C, Berti V, Ferrari C, Lucidi G, Bagnoli S, Piaceri I, Nacmias B, Pupi A, Sorbi S. Biomarkers study in atypical dementia: proof of a diagnostic work-up. Neurol Sci 2018; 39:1203-1210. [PMID: 29651720 DOI: 10.1007/s10072-018-3400-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2017] [Accepted: 03/29/2018] [Indexed: 10/17/2022]
Abstract
BACKGROUND An early differentiation between Alzheimer's Disease (AD) and other dementias is crucial for an adequate patients' management, albeit it may result difficult for the occurrence of "atypical presentations." Current diagnostic criteria recognize the importance of biomarkers for AD diagnosis, but still an optimal diagnostic work-up isn't available. OBJECTIVE Evaluate the utility and reproducibility of biomarkers and propose an "optimal" diagnostic work-up in atypical dementia. METHODS (1) a retrospective selection of "atypical dementia cases"; (2) a repetition of diagnostic assessment by two neurologists following two different diagnostic work-ups, each consisting of multiple steps; (3) a comparison between diagnostic accuracy and confidence reached at each step by both neurologists and evaluation of the inter-rater agreement. RESULTS In AD, regardless of the undertaken diagnostic work-up, a significant gain in accuracy was reached by both neurologists after the second step, whereas in frontotemporal dementia (FTD), adding subsequent steps was not always sufficient to increase significantly the baseline accuracy. A relevant increment in diagnostic confidence was detectable after studying pathophysiological markers in AD, and after assessing brain metabolism in FTD. The inter-rater agreement was higher at the second step for the AD group when the pathophysiological markers were available and for the FTD group when the results of FDG-PET were accessible. CONCLUSIONS In atypical cases of dementia, biomarkers significantly raise diagnostic accuracy, confidence, and agreement. This study introduces a proof of diagnostic work-up that combines imaging and CSF biomarkers and suggests distinct ways to proceed on the basis of a greater diagnostic likelihood.
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Affiliation(s)
- Gemma Lombardi
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, viale Pieraccini 6, 50139, Florence, Italy.
| | - Cristina Polito
- Department of Biomedical, Experimental and Clinical Sciences "Mario Serio," Nuclear Medicine Unit, University of Florence, viale Morgagni 50, 50134, Florence, Italy
| | - Valentina Berti
- Department of Biomedical, Experimental and Clinical Sciences "Mario Serio," Nuclear Medicine Unit, University of Florence, viale Morgagni 50, 50134, Florence, Italy
| | - Camilla Ferrari
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, viale Pieraccini 6, 50139, Florence, Italy
| | - Giulia Lucidi
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, viale Pieraccini 6, 50139, Florence, Italy.,IRCCS Don Gnocchi, via di Scandicci 269, 50143, Florence, Italy
| | - Silvia Bagnoli
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, viale Pieraccini 6, 50139, Florence, Italy
| | - Irene Piaceri
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, viale Pieraccini 6, 50139, Florence, Italy
| | - Benedetta Nacmias
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, viale Pieraccini 6, 50139, Florence, Italy
| | - Alberto Pupi
- Department of Biomedical, Experimental and Clinical Sciences "Mario Serio," Nuclear Medicine Unit, University of Florence, viale Morgagni 50, 50134, Florence, Italy
| | - Sandro Sorbi
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, viale Pieraccini 6, 50139, Florence, Italy.,IRCCS Don Gnocchi, via di Scandicci 269, 50143, Florence, Italy
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