1
|
Painous C, Fernández M, Pérez J, de Mena L, Cámara A, Compta Y. Fluid and tissue biomarkers in Parkinson's disease: Immunodetection or seed amplification? Central or peripheral? Parkinsonism Relat Disord 2024; 121:105968. [PMID: 38168618 DOI: 10.1016/j.parkreldis.2023.105968] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Revised: 12/10/2023] [Accepted: 12/18/2023] [Indexed: 01/05/2024]
Abstract
Over the last two decades there have been meaningful developments on biomarkers of neurodegenerative diseases, extensively (but not solely) focusing on their proteinopathic nature. Accordingly, in Alzheimer's disease determination of levels of total and phosphorylated tau (τ and p-τ, usually p-τ181) along with amyloid-beta1-42 (Aβ1-42) by immunodetection in cerebrospinal fluid (CSF) and currently even in peripheral blood, have been widely accepted and introduced to routine diagnosis. In the case of Parkinson's disease, α-synuclein as a potential biomarker (both for diagnosis and progression tracking) has proved more elusive under the immunodetection approach. In recent years, the emergence of the so-called seed amplification assays is proving to be a game-changer, with mounting evidence under different technical approaches and using a variety of biofluids or tissues, yielding promising diagnostic accuracies. Currently the least invasive but at once more reliable source of biosamples and techniques are being sought. Here we overview these advances.
Collapse
Affiliation(s)
- Celia Painous
- Parkinson's Disease & Movement Disorders Unit, Neurology Service, Hospital Clínic i Universitari de Barcelona, Lab of Parkinson Disease and Other Neurodegenerative Movement Disorders - Clinical and Experimental Research, IDIBAPS, Institut de Neurociències UBNeuro, Universitat de Barcelona, Barcelona, Catalonia, Spain
| | - Manel Fernández
- Parkinson's Disease & Movement Disorders Unit, Neurology Service, Hospital Clínic i Universitari de Barcelona, Lab of Parkinson Disease and Other Neurodegenerative Movement Disorders - Clinical and Experimental Research, IDIBAPS, Institut de Neurociències UBNeuro, Universitat de Barcelona, Barcelona, Catalonia, Spain
| | - Jesica Pérez
- Parkinson's Disease & Movement Disorders Unit, Neurology Service, Hospital Clínic i Universitari de Barcelona, Lab of Parkinson Disease and Other Neurodegenerative Movement Disorders - Clinical and Experimental Research, IDIBAPS, Institut de Neurociències UBNeuro, Universitat de Barcelona, Barcelona, Catalonia, Spain
| | - Lorena de Mena
- Parkinson's Disease & Movement Disorders Unit, Neurology Service, Hospital Clínic i Universitari de Barcelona, Lab of Parkinson Disease and Other Neurodegenerative Movement Disorders - Clinical and Experimental Research, IDIBAPS, Institut de Neurociències UBNeuro, Universitat de Barcelona, Barcelona, Catalonia, Spain
| | - Ana Cámara
- Parkinson's Disease & Movement Disorders Unit, Neurology Service, Hospital Clínic i Universitari de Barcelona, Lab of Parkinson Disease and Other Neurodegenerative Movement Disorders - Clinical and Experimental Research, IDIBAPS, Institut de Neurociències UBNeuro, Universitat de Barcelona, Barcelona, Catalonia, Spain
| | - Yaroslau Compta
- Parkinson's Disease & Movement Disorders Unit, Neurology Service, Hospital Clínic i Universitari de Barcelona, Lab of Parkinson Disease and Other Neurodegenerative Movement Disorders - Clinical and Experimental Research, IDIBAPS, Institut de Neurociències UBNeuro, Universitat de Barcelona, Barcelona, Catalonia, Spain.
| |
Collapse
|
2
|
Kulcsarova K, Skorvanek M. Challenges and Future of the International Parkinson and Movement Disorder Society Prodromal Parkinson's Disease Criteria: Are We On the Right Track? Mov Disord 2024; 39:637-643. [PMID: 38310367 DOI: 10.1002/mds.29724] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 12/20/2023] [Accepted: 12/22/2023] [Indexed: 02/05/2024] Open
Affiliation(s)
- Kristina Kulcsarova
- Department of Neurology, P. J. Safarik University, Kosice, Slovakia
- Department of Neurology, University Hospital of L. Pasteur, Kosice, Slovakia
- Department of Clinical Neurosciences, University Scientific Park MEDIPARK, P. J. Safarik University, Kosice, Slovakia
| | - Matej Skorvanek
- Department of Neurology, P. J. Safarik University, Kosice, Slovakia
- Department of Neurology, University Hospital of L. Pasteur, Kosice, Slovakia
| |
Collapse
|
3
|
Kulcsarova K, Skorvanek M, Postuma RB, Berg D. Defining Parkinson's Disease: Past and Future. J Parkinsons Dis 2024:JPD230411. [PMID: 38489197 DOI: 10.3233/jpd-230411] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/17/2024]
Abstract
Parkinson's disease (PD) is the second most common still relentlessly progressive neurodegenerative disorder with a long period in which the pathophysiological process is already spreading but cardinal motor symptoms are not present. This review outlines the major developments and milestones in our understanding of PD that have shaped the way we define this disorder. Past criteria and definitions of PD have been based on clinical motor manifestations enabling diagnosis of the disease only in later symptomatic stages. Nevertheless, with advancing knowledge of disease pathophysiology and aim of early disease detection, a major shift of the diagnostic paradigm is being advocated towards a biological definition similar to other neurodegenerative disorders including Alzheimer's disease and Huntington's disease, with the ultimate goal of an earlier, disease course modifying therapy. We summarize the major pillars of this possible approach including in vivo detection of neuronal α-synuclein aggregation, neurodegeneration and genetics and outline their possible application in different contexts of use in the frame of biological PD definition.
Collapse
Affiliation(s)
- Kristina Kulcsarova
- Department of Neurology, P. J. Safarik University, Kosice, Slovak Republic
- Department of Neurology, L. Pasteur University Hospital, Kosice, Slovak Republic
- Department of Clinical Neurosciences, University Scientific Park MEDIPARK, P. J. Safarik University, Kosice, Slovak Republic
| | - Matej Skorvanek
- Department of Neurology, P. J. Safarik University, Kosice, Slovak Republic
- Department of Neurology, L. Pasteur University Hospital, Kosice, Slovak Republic
| | - Ronald B Postuma
- Department of Neurology, Montreal Neurological Institute, Montreal, Quebec, Canada
| | - Daniela Berg
- Department of Neurology, Kiel University and University Medical Center Schleswig-Holstein, Kiel, Germany
| |
Collapse
|
4
|
Tóth Š, Kulcsárová K, Maretta M, Kunová A, Mechírová E, Gdovinová Z, Feketeová E, Ribeiro Ventosa J, Baloghová J, Bekeová M, Christová P, Mrázová S, Muránska S, Zeidan D, Škorvánek M. α-synuclein antibody 5G4 identifies idiopathic REM-sleep behavior disorder in abdominal skin biopsies. Parkinsonism Relat Disord 2024; 120:105956. [PMID: 38217955 DOI: 10.1016/j.parkreldis.2023.105956] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Revised: 11/25/2023] [Accepted: 12/06/2023] [Indexed: 01/15/2024]
Abstract
INTRODUCTION Idiopathic REM-sleep behavior disorder (iRBD) is considered the most specific prodromal marker of Parkinson's disease (PD). With the need to improve early detection of prodromal α-synucleinopathies, several methods to identify peripheral α-synuclein (α-syn) pathology have been exploited in manifest and prodromal PD with varying diagnostic accuracy. Recently, a disease specific 5G4 antibody has been evaluated in skin biopsies of manifest PD patients. The aim of our study was to analyze the 5G4 α-syn immunoreactivity in skin biopsies of deeply phenotyped subjects with iRBD and controls. METHODS The study cohort consisted of 28 patients with PD, 24 subjects with iRBD and 27 healthy controls, recruited from the CEGEMOD, PDBIOM and PARCAS cohorts. All subjects were deeply phenotyped and assessed for prodromal PD (pPD) probability based on MDS research criteria. Abdominal skin punch biopsies were processed and stained using a conformation specific 5G4 α-syn antibody as well as axonal markers SMI-31 and S100. RESULTS 5G4-positivity was identified in 23/28 PD patients, 20/24 iRBD subjects and 8/27 healthy controls. Compared to healthy controls, sensitivity and specificity reached 83.33 % and 70.37 % for iRBD; and 82.14 % and 70.37 % for PD, respectively. 5G4-positivity rate in our study was irrespective of the calculated pPD probability of iRBD subjects. CONCLUSIONS This work establishes the diagnostic yield of conformation specific 5G4 α-syn antibody testing in skin biopsies of subjects with pPD, specifically iRBD. The diagnostic accuracy for this method seems to be similar for both manifest and prodromal PD and is not dependent on the pPD probability ratios.
Collapse
Affiliation(s)
- Štefan Tóth
- Department of Histology and Embryology, Medical Faculty of P. J. Šafárik University, Košice, Slovak Republic.
| | - Kristína Kulcsárová
- Department of Neurology, Medical Faculty of P. J. Šafárik University, Košice, Slovak Republic; Department of Neurology, University Hospital of L. Pasteur, Košice, Slovak Republic; Department of Clinical Neurosciences, University Scientific Park MEDIPARK, P. J. Šafárik University, Kosice, Slovak Republic
| | - Milan Maretta
- Department of Neurology, Medical Faculty of P. J. Šafárik University, Košice, Slovak Republic; Department of Neurology, University Hospital of L. Pasteur, Košice, Slovak Republic
| | - Alexandra Kunová
- Department of Histology and Embryology, Medical Faculty of P. J. Šafárik University, Košice, Slovak Republic
| | - Eva Mechírová
- Department of Histology and Embryology, Medical Faculty of P. J. Šafárik University, Košice, Slovak Republic
| | - Zuzana Gdovinová
- Department of Neurology, Medical Faculty of P. J. Šafárik University, Košice, Slovak Republic; Department of Neurology, University Hospital of L. Pasteur, Košice, Slovak Republic
| | - Eva Feketeová
- Department of Neurology, Medical Faculty of P. J. Šafárik University, Košice, Slovak Republic; Department of Neurology, University Hospital of L. Pasteur, Košice, Slovak Republic
| | - Joaquim Ribeiro Ventosa
- Department of Neurology, Medical Faculty of P. J. Šafárik University, Košice, Slovak Republic; Department of Neurology, University Hospital of L. Pasteur, Košice, Slovak Republic; Department of Clinical Neurosciences, University Scientific Park MEDIPARK, P. J. Šafárik University, Kosice, Slovak Republic
| | - Janette Baloghová
- Department of Dermatovenerology, Medical Faculty of P. J. Šafárik University, Košice, Slovak Republic; Department of Dermatovenerology, University Hospital of L. Pasteur, Košice, Slovak Republic
| | - Martina Bekeová
- Department of Neurology, Medical Faculty of P. J. Šafárik University, Košice, Slovak Republic
| | - Petronela Christová
- Department of Neurology, Medical Faculty of P. J. Šafárik University, Košice, Slovak Republic
| | - Soňa Mrázová
- Department of Neurology, Medical Faculty of P. J. Šafárik University, Košice, Slovak Republic
| | - Soňa Muránska
- Department of Neurology, Medical Faculty of P. J. Šafárik University, Košice, Slovak Republic
| | - Dema Zeidan
- Department of Histology and Embryology, Medical Faculty of P. J. Šafárik University, Košice, Slovak Republic
| | - Matej Škorvánek
- Department of Neurology, Medical Faculty of P. J. Šafárik University, Košice, Slovak Republic; Department of Neurology, University Hospital of L. Pasteur, Košice, Slovak Republic
| |
Collapse
|
5
|
Höglinger GU, Adler CH, Berg D, Klein C, Outeiro TF, Poewe W, Postuma R, Stoessl AJ, Lang AE. A biological classification of Parkinson's disease: the SynNeurGe research diagnostic criteria. Lancet Neurol 2024; 23:191-204. [PMID: 38267191 DOI: 10.1016/s1474-4422(23)00404-0] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Revised: 09/08/2023] [Accepted: 10/06/2023] [Indexed: 01/26/2024]
Abstract
With the hope that disease-modifying treatments could target the molecular basis of Parkinson's disease, even before the onset of symptoms, we propose a biologically based classification. Our classification acknowledges the complexity and heterogeneity of the disease by use of a three-component system (SynNeurGe): presence or absence of pathological α-synuclein (S) in tissues or CSF; evidence of underlying neurodegeneration (N) defined by neuroimaging procedures; and documentation of pathogenic gene variants (G) that cause or strongly predispose to Parkinson's disease. These three components are linked to a clinical component (C), defined either by a single high-specificity clinical feature or by multiple lower-specificity clinical features. The use of a biological classification will enable advances in both basic and clinical research, and move the field closer to the precision medicine required to develop disease-modifying therapies. We emphasise the initial application of these criteria exclusively for research. We acknowledge its ethical implications, its limitations, and the need for prospective validation in future studies.
Collapse
Affiliation(s)
- Günter U Höglinger
- Department of Neurology, University Hospital, Ludwig-Maximilians-University (LMU) and German Center for Neurodegenerative Diseases, Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Charles H Adler
- Department of Neurology, Mayo Clinic College of Medicine, Mayo Clinic Arizona, Scottsdale, AZ, USA
| | - Daniela Berg
- Christian Albrechts University and University Hospital Schleswig-Holstein, Campus Kiel, Kiel, Germany
| | - Christine Klein
- Institute of Neurogenetics, University of Lübeck and University Hospital Schleswig-Holstein, Campus Lübeck, Lüebeck, Germany
| | - Tiago F Outeiro
- Department of Experimental Neurodegeneration, Center for Biostructural Imaging of Neurodegeneration, University Medical Center Göttingen, Göttingen, Germany; Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Werner Poewe
- Medical University Innsbruck, Innsbruck, Austria
| | - Ronald Postuma
- Department of Neurology, McGill University, Montreal Neurological Institute, Montreal, QC, Canada
| | - A Jon Stoessl
- Pacific Parkinson's Research Centre and Parkinson's Foundation Centre of Excellence, University of British Columbia, BC, Canada
| | - Anthony E Lang
- University Health Network's Krembil Brain Institute, Edmond J Safra Program in Parkinson's Disease and the Rossy PSP Centre, Toronto Western Hospital, Toronto, ON, Canada.
| |
Collapse
|
6
|
Zheng Y, Li S, Yang C, Yu Z, Jiang Y, Feng T. Comparison of biospecimens for α-synuclein seed amplification assays in Parkinson's disease: A systematic review and network meta-analysis. Eur J Neurol 2023; 30:3949-3967. [PMID: 37573472 DOI: 10.1111/ene.16041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 07/23/2023] [Accepted: 08/10/2023] [Indexed: 08/14/2023]
Abstract
BACKGROUND AND PURPOSE Alpha-synuclein seed amplification assays (α-syn SAAs) are promising diagnostic methods for Parkinson's disease (PD) and other synucleinopathies. However, there is limited consensus regarding the diagnostic and differential diagnostic performance of α-syn SAAs on biofluids and peripheral tissues. METHODS A comprehensive research was performed in PubMed, Web of Science, Embase and Cochrane Library. Meta-analysis was performed using a random-effects model. A network meta-analysis based on an ANOVA model was conducted to compare the relative accuracy of α-syn SAAs with different specimens. RESULTS The pooled sensitivity and specificity of α-syn SAAs in distinguishing PD from healthy controls or non-neurodegenerative neurological controls were 0.91 (95% confidence interval [CI] 0.89-0.92) and 0.95 (95% CI 0.94-0.96) for cerebrospinal fluid (CSF); 0.91 (95% CI 0.86-0.94) and 0.92 (95% CI 0.87-0.95) for skin; 0.80 (95% CI 0.66-0.89) and 0.87 (95% CI 0.69-0.96) for submandibular gland; 0.44 (95% CI 0.30-0.59) and 0.92 (95% CI 0.79-0.98) for gastrointestinal tract; 0.79 (95% CI 0.70-0.86) and 0.88 (95% CI 0.77-0.95) for saliva; and 0.51 (95% CI 0.39-0.62) and 0.91 (95% CI 0.84-0.96) for olfactory mucosa (OM). The pooled sensitivity and specificity were 0.91 (95% CI 0.89-0.93) and 0.50 (95% CI 0.44-0.55) for CSF, 0.92 (95% CI 0.83-0.97) and 0.22 (95% CI 0.06-0.48) for skin, and 0.55 (95% CI 0.42-0.68) and 0.50 (95% CI 0.35-0.65) for OM in distinguishing PD from multiple system atrophy. The pooled sensitivity and specificity were 0.92 (95% CI 0.89-0.94) and 0.84 (95% CI 0.73-0.91) for CSF, 0.92 (95% CI 0.83-0.97) and 0.88 (95% CI 0.64-0.99) for skin and 0.63 (95% CI 0.52-0.73) and 0.86 (95% CI 0.64-0.97) for OM in distinguishing PD from progressive supranuclear palsy. The pooled sensitivity and specificity were 0.94 (95% CI 0.90-0.97) and 0.95 (95% CI 0.77-1.00) for CSF and 0.94 (95% CI 0.84-0.99) and 0.86 (95% CI 0.42-1.00) for skin in distinguishing PD from corticobasal degeneration. CONCLUSIONS α-Synuclein SAAs of CSF, skin, saliva, submandibular gland, gastrointestinal tract and OM are promising diagnostic assays for PD, with CSF and skin α-syn SAAs demonstrating higher diagnostic performance.
Collapse
Affiliation(s)
- Yuanchu Zheng
- Center for Movement Disorders, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Siming Li
- Center for Movement Disorders, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Chen Yang
- Center for Movement Disorders, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Zhenwei Yu
- Department of Pathophysiology, Beijing Neurosurgical Institute, Beijing, China
| | - Ying Jiang
- Center for Movement Disorders, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Tao Feng
- Center for Movement Disorders, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| |
Collapse
|
7
|
Vijiaratnam N, Foltynie T. How should we be using biomarkers in trials of disease modification in Parkinson's disease? Brain 2023; 146:4845-4869. [PMID: 37536279 PMCID: PMC10690028 DOI: 10.1093/brain/awad265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 07/18/2023] [Accepted: 07/22/2023] [Indexed: 08/05/2023] Open
Abstract
The recent validation of the α-synuclein seed amplification assay as a biomarker with high sensitivity and specificity for the diagnosis of Parkinson's disease has formed the backbone for a proposed staging system for incorporation in Parkinson's disease clinical studies and trials. The routine use of this biomarker should greatly aid in the accuracy of diagnosis during recruitment of Parkinson's disease patients into trials (as distinct from patients with non-Parkinson's disease parkinsonism or non-Parkinson's disease tremors). There remain, however, further challenges in the pursuit of biomarkers for clinical trials of disease modifying agents in Parkinson's disease, namely: optimizing the distinction between different α-synucleinopathies; the selection of subgroups most likely to benefit from a candidate disease modifying agent; a sensitive means of confirming target engagement; and the early prediction of longer-term clinical benefit. For example, levels of CSF proteins such as the lysosomal enzyme β-glucocerebrosidase may assist in prognostication or allow enrichment of appropriate patients into disease modifying trials of agents with this enzyme as the target; the presence of coexisting Alzheimer's disease-like pathology (detectable through CSF levels of amyloid-β42 and tau) can predict subsequent cognitive decline; imaging techniques such as free-water or neuromelanin MRI may objectively track decline in Parkinson's disease even in its later stages. The exploitation of additional biomarkers to the α-synuclein seed amplification assay will, therefore, greatly add to our ability to plan trials and assess the disease modifying properties of interventions. The choice of which biomarker(s) to use in the context of disease modifying clinical trials will depend on the intervention, the stage (at risk, premotor, motor, complex) of the population recruited and the aims of the trial. The progress already made lends hope that panels of fluid biomarkers in tandem with structural or functional imaging may provide sensitive and objective methods of confirming that an intervention is modifying a key pathophysiological process of Parkinson's disease. However, correlation with clinical progression does not necessarily equate to causation, and the ongoing validation of quantitative biomarkers will depend on insightful clinical-genetic-pathophysiological comparisons incorporating longitudinal biomarker changes from those at genetic risk with evidence of onset of the pathophysiology and those at each stage of manifest clinical Parkinson's disease.
Collapse
Affiliation(s)
- Nirosen Vijiaratnam
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London WC1N 3BG, UK
| | - Thomas Foltynie
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London WC1N 3BG, UK
| |
Collapse
|
8
|
Berger SL, Seemiller J, Rosenthal LS. Synuclein Seed Amplification in the Cerebrospinal Fluid: Research and Clinical Implications. Mov Disord 2023; 38:1990-1991. [PMID: 37860997 DOI: 10.1002/mds.29619] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Revised: 07/03/2023] [Accepted: 09/07/2023] [Indexed: 10/21/2023] Open
Affiliation(s)
- Stephen L Berger
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Joseph Seemiller
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Liana S Rosenthal
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| |
Collapse
|
9
|
Borsche M, Berg D. Blood-Based α-Synuclein Seeding-A New Era for Identifying Parkinsonian Syndromes. Mov Disord 2023; 38:1397-1398. [PMID: 37489601 DOI: 10.1002/mds.29555] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2023] [Revised: 06/30/2023] [Accepted: 07/03/2023] [Indexed: 07/26/2023] Open
Affiliation(s)
- Max Borsche
- Institute of Neurogenetics, University of Lübeck, Lübeck, Germany
- Department of Neurology, University Hospital Schleswig-Holstein Campus Lübeck and University of Lübeck, Lübeck, Germany
| | - Daniela Berg
- Department of Neurology, University Hospital Schleswig-Holstein Campus Kiel and Kiel University, Kiel, Germany
| |
Collapse
|
10
|
Kuzkina A, Panzer C, Seger A, Schmitt D, Rößle J, Schreglmann SR, Knacke H, Salabasidou E, Kohl A, Sittig E, Barbe M, Berg D, Volkmann J, Sommer C, Oertel WH, Schaeffer E, Sommerauer M, Janzen A, Doppler K. Dermal Real-Time Quaking-Induced Conversion Is a Sensitive Marker to Confirm Isolated Rapid Eye Movement Sleep Behavior Disorder as an Early α-Synucleinopathy. Mov Disord 2023; 38:1077-1082. [PMID: 36750755 DOI: 10.1002/mds.29340] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 12/27/2022] [Accepted: 01/19/2023] [Indexed: 02/09/2023] Open
Abstract
BACKGROUND Skin biopsy is a potential tool for the premortem confirmation of an α-synucleinopathy. OBJECTIVE The aim was to assess the aggregation assay real-time quaking-induced conversion (RT-QuIC) of skin biopsy lysates to confirm isolated rapid eye movement sleep behavior disorder (iRBD) as an α-synucleinopathy. METHODS Skin biopsies of patients with iRBD, Parkinson's disease (PD), and controls were analyzed using RT-QuIC and immunohistochemical detection of phospho-α-synuclein. RESULTS α-Synuclein aggregation was detected in 97.4% of iRBD patients (78.4% of iRBD biopsies), 87.2% of PD patients (70% of PD biopsies), and 13% of controls (7.9% of control biopsies), with a higher seeding activity in iRBD compared to PD. RT-QuIC was more sensitive but less specific than immunohistochemistry. CONCLUSIONS Dermal RT-QuIC is a sensitive method to detect α-synuclein aggregation in iRBD, and high seeding activity may indicate a strong involvement of dermal nerve fibers in these patients. © 2023 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
Collapse
Affiliation(s)
- Anastasia Kuzkina
- Department of Neurology, University Hospital Würzburg, Würzburg, Germany
| | - Celine Panzer
- Department of Neurology, University Hospital Würzburg, Würzburg, Germany
| | - Aline Seger
- Department of Neurology, University Hospital Cologne, University of Cologne, Köln, Germany
| | - Daniela Schmitt
- Department of Neurology, University Hospital Würzburg, Würzburg, Germany
| | - Jonas Rößle
- Department of Neurology, University Hospital Würzburg, Würzburg, Germany
| | | | - Henrike Knacke
- Department of Neurology, University Hospital Schleswig-Holstein, Campus Kiel, Kiel, Germany
| | - Elena Salabasidou
- Department of Neurology, University Hospital Würzburg, Würzburg, Germany
| | - Antonia Kohl
- Department of Neurology, University Hospital Würzburg, Würzburg, Germany
| | - Elisabeth Sittig
- Department of Neurology, Philipps University Marburg, Marburg, Germany
| | - Michael Barbe
- Department of Neurology, University Hospital Cologne, University of Cologne, Köln, Germany
| | - Daniela Berg
- Department of Neurology, University Hospital Schleswig-Holstein, Campus Kiel, Kiel, Germany
| | - Jens Volkmann
- Department of Neurology, University Hospital Würzburg, Würzburg, Germany
| | - Claudia Sommer
- Department of Neurology, University Hospital Würzburg, Würzburg, Germany
| | - Wolfgang H Oertel
- Department of Neurology, Philipps University Marburg, Marburg, Germany
- Helmholtz Center for Health and Environment, Institute for Neurogenomics, München-Neuherberg, Germany
| | - Eva Schaeffer
- Department of Neurology, University Hospital Schleswig-Holstein, Campus Kiel, Kiel, Germany
| | - Michael Sommerauer
- Department of Neurology, University Hospital Cologne, University of Cologne, Köln, Germany
- Institute of Neuroscience and Medicine (INM-3), Forschungszentrum Jülich, Jülich, Germany
| | - Annette Janzen
- Department of Neurology, Philipps University Marburg, Marburg, Germany
| | - Kathrin Doppler
- Department of Neurology, University Hospital Würzburg, Würzburg, Germany
| |
Collapse
|
11
|
Virameteekul S, Revesz T, Jaunmuktane Z, Warner TT, De Pablo-Fernández E. Clinical Diagnostic Accuracy of Parkinson's Disease: Where Do We Stand? Mov Disord 2023; 38:558-566. [PMID: 36602274 DOI: 10.1002/mds.29317] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 12/09/2022] [Accepted: 12/22/2022] [Indexed: 01/06/2023] Open
Abstract
BACKGROUND Clinical diagnostic accuracy of Parkinson's disease (PD) remains suboptimal. Changes in disease concept may have improved clinical diagnostic accuracy in the past decade. However, current clinical diagnostic criteria have not been validated against neuropathological confirmation. OBJECTIVES This study aims to provide up-to-date clinical diagnostic accuracy data and validate current clinical diagnostic criteria for PD against neuropathology. METHODS A retrospective review of medical records of consecutive patients with parkinsonism from the Queen Square Brain Bank was performed between 2009 and 2019. Clinical diagnosis was documented at early (within 5 years of motor symptom onset) and final stages and categorized by movement disorder experts or regular clinicians. Movement Disorder Society Parkinson's disease (MDS-PD) diagnostic criteria were retrospectively applied. Diagnostic accuracy parameters (sensitivity, specificity, positive/negative predictive value, and accuracy) were calculated using neuropathological diagnosis as the gold standard. RESULTS A total of 267 patients (141 PD and 126 non-PD parkinsonism) were included. Clinical diagnostic accuracy was 97.2% for experts, 92.5% for the MDS clinically probable PD criteria, and 90.3% for clinicians. Similar figures were obtained when applied at an early stage (91.5%, 89.5%, and 84.2% diagnostic accuracy, respectively). MDS clinically established early PD criteria demonstrated very high specificity (98.4%) at early stages. CONCLUSIONS Our results showed an important improvement in PD clinical diagnostic accuracy in clinical practice over the past decade, more marked at early stages of the disease. MDS-PD diagnostic criteria is a valid tool in clinical practice and research for the identification of PD patients showing excellent sensitivity and specificity, although movement disorder experts' diagnosis remains the gold standard PD diagnosis during life. © 2023 International Parkinson and Movement Disorder Society.
Collapse
Affiliation(s)
- Sasivimol Virameteekul
- Department of Clinical and Movement Neurosciences, Queen Square Brain Bank for Neurological Disorders, UCL Queen Square Institute of Neurology, London, United Kingdom
- Department of Clinical and Movement Neurosciences, Reta Lila Weston Institute of Neurological Studies, UCL Queen Square Institute of Neurology, London, United Kingdom
| | - Tamas Revesz
- Department of Clinical and Movement Neurosciences, Queen Square Brain Bank for Neurological Disorders, UCL Queen Square Institute of Neurology, London, United Kingdom
| | - Zane Jaunmuktane
- Department of Clinical and Movement Neurosciences, Queen Square Brain Bank for Neurological Disorders, UCL Queen Square Institute of Neurology, London, United Kingdom
| | - Thomas T Warner
- Department of Clinical and Movement Neurosciences, Queen Square Brain Bank for Neurological Disorders, UCL Queen Square Institute of Neurology, London, United Kingdom
- Department of Clinical and Movement Neurosciences, Reta Lila Weston Institute of Neurological Studies, UCL Queen Square Institute of Neurology, London, United Kingdom
| | - Eduardo De Pablo-Fernández
- Department of Clinical and Movement Neurosciences, Queen Square Brain Bank for Neurological Disorders, UCL Queen Square Institute of Neurology, London, United Kingdom
- Department of Clinical and Movement Neurosciences, Reta Lila Weston Institute of Neurological Studies, UCL Queen Square Institute of Neurology, London, United Kingdom
| |
Collapse
|
12
|
I F. The unique neuropathological vulnerability of the human brain to aging. Ageing Res Rev 2023; 87:101916. [PMID: 36990284 DOI: 10.1016/j.arr.2023.101916] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 03/19/2023] [Accepted: 03/21/2023] [Indexed: 03/30/2023]
Abstract
Alzheimer's disease (AD)-related neurofibrillary tangles (NFT), argyrophilic grain disease (AGD), aging-related tau astrogliopathy (ARTAG), limbic predominant TDP-43 proteinopathy (LATE), and amygdala-predominant Lewy body disease (LBD) are proteinopathies that, together with hippocampal sclerosis, progressively appear in the elderly affecting from 50% to 99% of individuals aged 80 years, depending on the disease. These disorders usually converge on the same subject and associate with additive cognitive impairment. Abnormal Tau, TDP-43, and α-synuclein pathologies progress following a pattern consistent with an active cell-to-cell transmission and abnormal protein processing in the host cell. However, cell vulnerability and transmission pathways are specific for each disorder, albeit abnormal proteins may co-localize in particular neurons. All these alterations are unique or highly prevalent in humans. They all affect, at first, the archicortex and paleocortex to extend at later stages to the neocortex and other regions of the telencephalon. These observations show that the phylogenetically oldest areas of the human cerebral cortex and amygdala are not designed to cope with the lifespan of actual humans. New strategies aimed at reducing the functional overload of the human telencephalon, including optimization of dream repair mechanisms and implementation of artificial circuit devices to surrogate specific brain functions, appear promising.
Collapse
Affiliation(s)
- Ferrer I
- Department of Pathology and Experimental Therapeutics, University of Barcelona, Barcelona, Spain; Emeritus Researcher of the Bellvitge Institute of Biomedical Research (IDIBELL), Barcelona, Spain; Biomedical Research Network of Neurodegenerative Diseases (CIBERNED), Barcelona, Spain; Institute of Neurosciences, University of Barcelona, Barcelona, Spain; Hospitalet de Llobregat, Barcelona, Spain.
| |
Collapse
|
13
|
Hansen N, Bouter C, Müller SJ, van Riesen C, Khadhraoui E, Ernst M, Riedel CH, Wiltfang J, Lange C. New Insights into Potential Biomarkers in Patients with Mild Cognitive Impairment Occurring in the Prodromal Stage of Dementia with Lewy Bodies. Brain Sci 2023; 13:brainsci13020242. [PMID: 36831785 PMCID: PMC9953759 DOI: 10.3390/brainsci13020242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 01/14/2023] [Accepted: 01/22/2023] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND Prodromal dementia with Lewy bodies (DLB) can emerge with the onset of mild cognitive impairment (MCI). Standard biomarkers can help identify such patients to improve therapy and treatment strategies. Our review aims to describe the latest evidence on promising biomarkers in prodromal DLB with MCI onset (MCI-LB). METHODS We selected articles on different biomarkers in MCI-LB from PubMed and conducted a narrative review. RESULTS We identified potentially promising clinical biomarkers, e.g., (1) assessing autonomic symptoms specifically, (2) describing the cognitive profile in several subdomains including executive and visual functions, and (3) measuring the speed of speech. In addition, we describe the measurement of seeding amplification assays of alpha-synuclein in cerebrospinal fluid as a relevant biomarker for MCI-LB. Electroencephalographic markers, as in calculating the theta/beta ratio or intermittent delta activity, or analyzing peak frequency in electroencephalography-methods also potentially useful once they have been validated in large patient cohorts. The 18F fluorodesoxyglucose positron emission tomography (FDG-PET) technique is also discussed to investigate metabolic signatures, as well as a specific magnetic resonance imaging (MRI) technique such as for the volumetric region of interest analysis. CONCLUSIONS These biomarker results suggest that MCI-LB is a promising field for the use of biomarkers other than established ones to diagnose early prodromal DLB. Further large-scale studies are needed to better evaluate and subsequently use these promising biomarkers in prodromal DLB.
Collapse
Affiliation(s)
- Niels Hansen
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, 37075 Göttingen, Germany
- Correspondence:
| | - Caroline Bouter
- Department of Nuclear Medicine, University Medical Center Göttingen, 37075 Göttingen, Germany
| | - Sebastian Johannes Müller
- Institute of Diagnostic and Interventional Neuroradiology, University Medical Center Göttingen, 37075 Göttingen, Germany
| | - Christoph van Riesen
- Department of Neurology, University Medical Center Göttingen, 37075 Göttingen, Germany
| | - Eya Khadhraoui
- Institute of Diagnostic and Interventional Neuroradiology, University Medical Center Göttingen, 37075 Göttingen, Germany
| | - Marielle Ernst
- Institute of Diagnostic and Interventional Neuroradiology, University Medical Center Göttingen, 37075 Göttingen, Germany
| | - Christian Heiner Riedel
- Institute of Diagnostic and Interventional Neuroradiology, University Medical Center Göttingen, 37075 Göttingen, Germany
| | - Jens Wiltfang
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, 37075 Göttingen, Germany
- German Center for Neurodegenerative Diseases (DZNE), 37075 Göttingen, Germany
- Neurosciences and Signaling Group, Institute of Biomedicine (iBiMED), Department of Medical Sciences, University of Aveiro, 3810-193 Aveiro, Portugal
| | - Claudia Lange
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, 37075 Göttingen, Germany
| |
Collapse
|