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De Bartolo MI, Belvisi D, Mancinelli R, Costanzo M, Caturano C, Leodori G, Berardelli A, Fabbrini G, Vivacqua G. A systematic review of salivary biomarkers in Parkinson's disease. Neural Regen Res 2024; 19:2613-2625. [PMID: 38595280 DOI: 10.4103/nrr.nrr-d-23-01677] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2023] [Accepted: 01/25/2024] [Indexed: 04/11/2024] Open
Abstract
The search for reliable and easily accessible biomarkers in Parkinson's disease is receiving a growing emphasis, to detect neurodegeneration from the prodromal phase and to enforce disease-modifying therapies. Despite the need for non-invasively accessible biomarkers, the majority of the studies have pointed to cerebrospinal fluid or peripheral biopsies biomarkers, which require invasive collection procedures. Saliva represents an easily accessible biofluid and an incredibly wide source of molecular biomarkers. In the present study, after presenting the morphological and biological bases for looking at saliva in the search of biomarkers for Parkinson's disease, we systematically reviewed the results achieved so far in the saliva of different cohorts of Parkinson's disease patients. A comprehensive literature search on PubMed and SCOPUS led to the discovery of 289 articles. After screening and exclusion, 34 relevant articles were derived for systematic review. Alpha-synuclein, the histopathological hallmark of Parkinson's disease, has been the most investigated Parkinson's disease biomarker in saliva, with oligomeric alpha-synuclein consistently found increased in Parkinson's disease patients in comparison to healthy controls, while conflicting results have been reported regarding the levels of total alpha-synuclein and phosphorylated alpha-synuclein, and few studies described an increased oligomeric alpha-synuclein/total alpha-synuclein ratio in Parkinson's disease. Beyond alpha-synuclein, other biomarkers targeting different molecular pathways have been explored in the saliva of Parkinson's disease patients: total tau, phosphorylated tau, amyloid-β1-42 (pathological protein aggregation biomarkers); DJ-1, heme-oxygenase-1, metabolites (altered energy homeostasis biomarkers); MAPLC-3beta (aberrant proteostasis biomarker); cortisol, tumor necrosis factor-alpha (inflammation biomarkers); DNA methylation, miRNA (DNA/RNA defects biomarkers); acetylcholinesterase activity (synaptic and neuronal network dysfunction biomarkers); Raman spectra, proteome, and caffeine. Despite a few studies investigating biomarkers targeting molecular pathways different from alpha-synuclein in Parkinson's disease, these results should be replicated and observed in studies on larger cohorts, considering the potential role of these biomarkers in determining the molecular variance among Parkinson's disease subtypes. Although the need for standardization in sample collection and processing, salivary-based biomarkers studies have reported encouraging results, calling for large-scale longitudinal studies and multicentric assessments, given the great molecular potentials and the non-invasive accessibility of saliva.
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Affiliation(s)
| | - Daniele Belvisi
- IRCCS Neuromed, Pozzilli, Italy
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
| | - Romina Mancinelli
- Department of Anatomical, Histological, Forensic Medicine and Orthopedics Sciences, Sapienza University of Rome, Rome, Italy
| | | | - Claudia Caturano
- Department of Experimental Morphology and Microscopy -Integrated Research Center (PRAAB) -Campus Biomedico University of Rome, Rome, Italy
| | - Giorgio Leodori
- IRCCS Neuromed, Pozzilli, Italy
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
| | - Alfredo Berardelli
- IRCCS Neuromed, Pozzilli, Italy
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
| | - Giovanni Fabbrini
- IRCCS Neuromed, Pozzilli, Italy
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
| | - Giorgio Vivacqua
- Department of Experimental Morphology and Microscopy -Integrated Research Center (PRAAB) -Campus Biomedico University of Rome, Rome, Italy
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Rees RN, Noyce AJ, Schrag AE. Identification of Prodromal Parkinson Disease: We May Be Able to But Should We? Neurology 2024; 102:e209394. [PMID: 38759130 DOI: 10.1212/wnl.0000000000209394] [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] [Indexed: 05/19/2024] Open
Abstract
Parkinson disease (PD) remains a progressive and incurable disease. Research over the past decade provides strong evidence of a detectible phase before the clinical diagnosis, known as the prodromal phase of PD (pPD). In this article, we review the debate about disclosure of risk of progression to PD and related disorders to individuals through the perspectives of the pillars of medical ethics: beneficence, nonmaleficence, autonomy, and justice. There is evidence that lifestyle modification may have positive effects on onset and progression of PD, providing justification of potential benefit. From a societal perspective, a diagnosis of pPD could allow targeted recruitment to disease-modifying trials. Regarding nonmaleficence, direct evidence that catastrophic reactions are scarce is largely derived from studies of monogenic conditions, which may not be generalizable. Diagnosis of PD can be traumatic, and appropriate communication and evaluation of circumstances to weigh up disclosure is crucial. Future research should therefore examine the potential harms of early and of false-positive diagnoses and specifically examine these matters in diverse populations. Autonomy balances the right to know and the right not to know, so an individualized patient-centered approach and shared decision-making is essential, acknowledging that knowledge of being in the prodromal phase could prolong autonomy in the longer term. Distributive justice brings focus toward health care and related planning at the individual and societal level and affects the search for disease modification in PD. We must acknowledge that waiting for established disease states is likely to be too little, too late and results in failures of expensive trials and wasted participant and researcher effort. Ultimately, clinicians must arrive at a decision with the patient that solicits and integrates patients' goals, taking into account their individual life circumstances, perspectives, and philosophies, recognizing that one size cannot fit all.
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Affiliation(s)
- Richard N Rees
- From the Department of Clinical and Movement Neuroscience (R.N.R., A.E.S.), UCL Queen Square Institute of Neurology, University College London; Centre for Preventive Neurology (A.J.N.) and Wolfson Institute of Population Health (A.J.N.), Queen Mary University of London; and Department of Neurology (R.N.R.), St George's University NHS Foundation Trust, London, UK
| | - Alastair J Noyce
- From the Department of Clinical and Movement Neuroscience (R.N.R., A.E.S.), UCL Queen Square Institute of Neurology, University College London; Centre for Preventive Neurology (A.J.N.) and Wolfson Institute of Population Health (A.J.N.), Queen Mary University of London; and Department of Neurology (R.N.R.), St George's University NHS Foundation Trust, London, UK
| | - Anette E Schrag
- From the Department of Clinical and Movement Neuroscience (R.N.R., A.E.S.), UCL Queen Square Institute of Neurology, University College London; Centre for Preventive Neurology (A.J.N.) and Wolfson Institute of Population Health (A.J.N.), Queen Mary University of London; and Department of Neurology (R.N.R.), St George's University NHS Foundation Trust, London, UK
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Li B, Xiao X, Bi M, Jiao Q, Chen X, Yan C, Du X, Jiang H. Modulating α-synuclein propagation and decomposition: Implications in Parkinson's disease therapy. Ageing Res Rev 2024; 98:102319. [PMID: 38719160 DOI: 10.1016/j.arr.2024.102319] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Revised: 04/03/2024] [Accepted: 04/27/2024] [Indexed: 05/14/2024]
Abstract
α-Synuclein (α-Syn) is closely related to the pathogenesis of Parkinson's disease (PD). Under pathological conditions, the conformation of α-syn changes and different forms of α-syn lead to neurotoxicity. According to Braak stages, α-syn can propagate in different brain regions, inducing neurodegeneration and corresponding clinical manifestations through abnormal aggregation of Lewy bodies (LBs) and lewy axons in different types of neurons in PD. So far, PD lacks early diagnosis biomarkers, and treatments are mainly targeted at some clinical symptoms. There is no effective therapy to delay the progression of PD. This review first summarized the role of α-syn in physiological and pathological states, and the relationship between α-syn and PD. Then, we focused on the origin, secretion, aggregation, propagation and degradation of α-syn as well as the important regulatory factors in these processes systematically. Finally, we reviewed some potential drug candidates for alleviating the abnormal aggregation of α-syn in order to provide valuable targets for the treatment of PD to cope with the occurrence and progression of this disease.
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Affiliation(s)
- Beining Li
- School of Basic Medicine, Medical College of Qingdao University, Qingdao 266071, China
| | - Xue Xiao
- School of Basic Medicine, Medical College of Qingdao University, Qingdao 266071, China
| | - Mingxia Bi
- School of Basic Medicine, Medical College of Qingdao University, Qingdao 266071, China
| | - Qian Jiao
- School of Basic Medicine, Medical College of Qingdao University, Qingdao 266071, China
| | - Xi Chen
- School of Basic Medicine, Medical College of Qingdao University, Qingdao 266071, China
| | - Chunling Yan
- School of Basic Medicine, Medical College of Qingdao University, Qingdao 266071, China
| | - Xixun Du
- School of Basic Medicine, Medical College of Qingdao University, Qingdao 266071, China.
| | - Hong Jiang
- School of Health and Life Sciences, University of Health and Rehabilitation Sciences, Qingdao 266113, China; School of Basic Medicine, Medical College of Qingdao University, Qingdao 266071, China.
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Plastini MJ, Abdelnour C, Young CB, Wilson EN, Shahid-Besanti M, Lamoureux J, Andreasson KI, Kerchner GA, Montine TJ, Henderson VW, Poston KL. Multiple biomarkers improve diagnostic accuracy across Lewy body and Alzheimer's disease spectra. Ann Clin Transl Neurol 2024; 11:1197-1210. [PMID: 38436140 DOI: 10.1002/acn3.52034] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Revised: 01/20/2024] [Accepted: 02/13/2024] [Indexed: 03/05/2024] Open
Abstract
OBJECTIVE More than half of neurodegenerative disease patients have multiple pathologies at autopsy; however, most receive one diagnosis during life. We used the α-synuclein seed amplification assay (αSyn-SAA) and CSF biomarkers for amyloidosis and Alzheimer's disease (AD) neuropathological change (ADNC) to determine the frequency of co-pathologies in participants clinically diagnosed with Lewy body (LB) disease or AD. METHODS Using receiver operating characteristic analyses on retrospective CSF samples from 150 participants determined αSyn-SAA accuracy, sensitivity, and specificity for identifying clinically defined LB disease and predicting future change in clinical diagnosis. CSF biomarkers helped determine the frequency of concomitant Lewy body pathology, ADNC, and/or amyloidosis in participants with LB disease and AD, across clinical spectra. RESULTS Following a decade-long follow-up, the clinically or autopsy-defined diagnosis changed for nine participants. αSyn-SAA demonstrated improved accuracy (91.3%), sensitivity (89.3%), and specificity (93.3%) for identifying LB disease compared to all non-LB disease, highlighting the limitations of clinical diagnosis alone. When examining biomarkers of co-pathology, amyloidosis was present in 18%, 48%, and 71% (χ2(2) = 13.56, p = 0.001) and AD biomarkers were present in 0%, 8.7%, and 42.9% (χ2(2) = 18.44, p < 0.001) of LB disease participants with different stages of cognitive impairment respectively. Co-occurring biomarkers for αSyn-SAA and amyloidosis were present in 12% and 14% of AD compared to 43% and 57% LB disease participants with different stages of cognitive impairment (χ2(3) = 13.87, p = 0.003). INTERPRETATION Our study shows that using a combination of αSyn-SAA and AD biomarkers can identify people with αSyn, ADNC, and co-pathology better and earlier than traditional clinical diagnostic criteria alone.
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Affiliation(s)
- Melanie J Plastini
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, California, USA
- Knight Initiative for Brain Resilience, Stanford University, Stanford, California, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, California, USA
| | - Carla Abdelnour
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, California, USA
- Knight Initiative for Brain Resilience, Stanford University, Stanford, California, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, California, USA
| | - Christina B Young
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, California, USA
- Knight Initiative for Brain Resilience, Stanford University, Stanford, California, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, California, USA
| | - Edward N Wilson
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, California, USA
- Knight Initiative for Brain Resilience, Stanford University, Stanford, California, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, California, USA
| | - Marian Shahid-Besanti
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, California, USA
- Knight Initiative for Brain Resilience, Stanford University, Stanford, California, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, California, USA
| | | | - Katrin I Andreasson
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, California, USA
- Knight Initiative for Brain Resilience, Stanford University, Stanford, California, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, California, USA
- Chan Zuckerberg Biohub, San Francisco, California, 94158, USA
| | - Geoffrey A Kerchner
- Pharma Research and Early Development, F. Hoffmann-La Roche, Ltd., Basel, Switzerland
| | - Thomas J Montine
- Knight Initiative for Brain Resilience, Stanford University, Stanford, California, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, California, USA
- Department of Pathology, Stanford University School of Medicine, Stanford, California, USA
| | - Victor W Henderson
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, California, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, California, USA
- Department of Epidemiology and Population Health, Stanford University, Stanford, California, USA
| | - Kathleen L Poston
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, California, USA
- Knight Initiative for Brain Resilience, Stanford University, Stanford, California, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, California, USA
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Hatano T, Okuzumi A, Matsumoto G, Tsunemi T, Hattori N. α-Synuclein: A Promising Biomarker for Parkinson's Disease and Related Disorders. J Mov Disord 2024; 17:127-137. [PMID: 38589016 PMCID: PMC11082597 DOI: 10.14802/jmd.24075] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Revised: 03/30/2024] [Accepted: 04/09/2024] [Indexed: 04/10/2024] Open
Abstract
Mutations in the SNCA gene, which encodes α-synuclein (α-syn), play a key role in the development of genetic Parkinson's disease (PD). α-Syn is a major component of Lewy bodies in PD and glial cytoplasmic inclusions in multiple system atrophy (MSA). Rapid eye movement sleep behavior disorder patients often progress to PD, dementia with Lewy bodies, or MSA, which are collectively known as α-synucleinopathies. The loss of dopaminergic neurons with Lewy bodies precedes motor dysfunction in these diseases, but the mechanisms of neurodegeneration due to α-syn aggregation are poorly understood. Monitoring α-syn aggregation in vivo could serve as a diagnostic biomarker and help elucidate pathogenesis, necessitating a simple and accurate detection method. Seed amplification assays (SAAs), such as real-time quaking-induced conversion and protein misfolding cyclic amplification, are used to detect small amounts of abnormally structured α-syn protofibrils, which are central to aggregation. These methods are promising for the early diagnosis of α-synucleinopathy. Differences in α-syn filament structures between α-synucleinopathies, as observed through transmission electron microscopy and cryo-electron microscopy, suggest their role in the pathogenesis of neurodegeneration. SAAs may differentiate between subtypes of α-synucleinopathy and other diseases. Efforts are also being made to identify α-syn from blood using various methods. This review introduces body fluid α-syn biomarkers based on pathogenic α-syn seeds, which are expected to redefine α-synucleinopathy diagnosis and staging, improving clinical research accuracy and facilitating biomarker development.
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Affiliation(s)
- Taku Hatano
- Department of Neurology, Juntendo University Faculty of Medicine, Tokyo, Japan
| | - Ayami Okuzumi
- Department of Neurology, Juntendo University Faculty of Medicine, Tokyo, Japan
| | - Gen Matsumoto
- Department of Histology and Cell Biology, Nagasaki University School of Medicine, Nagasaki, Japan
| | - Taiji Tsunemi
- Department of Neurology, Juntendo University Faculty of Medicine, Tokyo, Japan
| | - Nobutaka Hattori
- Department of Neurology, Juntendo University Faculty of Medicine, Tokyo, Japan
- Neurodegenerative Disorders Collaboration Laboratory, RIKEN Center for Brain Science, Saitama, Japan
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Bellomo G, Toja A, Paolini Paoletti F, Ma Y, Farris CM, Gaetani L, Salvadori N, Chiasserini D, Wojdaƚa AL, Concha‐Marambio L, Parnetti L. Investigating alpha-synuclein co-pathology in Alzheimer's disease by means of cerebrospinal fluid alpha-synuclein seed amplification assay. Alzheimers Dement 2024; 20:2444-2452. [PMID: 38323747 PMCID: PMC11032521 DOI: 10.1002/alz.13658] [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: 10/10/2023] [Revised: 11/28/2023] [Accepted: 11/30/2023] [Indexed: 02/08/2024]
Abstract
INTRODUCTION Lewy body disease, a frequently observed co-pathology in Alzheimer's disease (AD), can be identified antemortem in cerebrospinal fluid (CSF) by α-synuclein seed amplification assay (αS-SAA). The prevalence and clinical impact of CSF αS-SAA positivity in AD are still unknown. METHODS αS-SAA was performed on CSF samples from 240 AD patients (preclinical, prodromal, and dementia stages), 85 controls, 84 patients with Parkinson's disease (PD), and 21 patients with PD with dementia or dementia with Lewy bodies. In AD patients, associations between αS-SAA positivity and cognitive changes were also evaluated. RESULTS In agreement with available neuropathological studies, αS-SAA positivity was observed in 30% of AD patients (vs 9% in controls), and was associated with cognitive decline, visuospatial impairment, and behavioral disturbances. DISCUSSION αS-SAA positivity in AD patients reflects the prevalence observed in neuropathological series and is associated with a worse clinical outcome. These data confirm the validity of CSF αS-SAA positivity as biomarker of synucleinopathy.
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Affiliation(s)
- Giovanni Bellomo
- Center for Memory DisturbancesLab of Clinical NeurochemistrySection of NeurologyDepartment of Medicine and SurgeryUniversity of PerugiaPerugiaItaly
| | - Andrea Toja
- Center for Memory DisturbancesLab of Clinical NeurochemistrySection of NeurologyDepartment of Medicine and SurgeryUniversity of PerugiaPerugiaItaly
| | - Federico Paolini Paoletti
- Center for Memory DisturbancesLab of Clinical NeurochemistrySection of NeurologyDepartment of Medicine and SurgeryUniversity of PerugiaPerugiaItaly
| | - Yihua Ma
- R&D Unit, Amprion IncSan DiegoCaliforniaUSA
| | | | - Lorenzo Gaetani
- Center for Memory DisturbancesLab of Clinical NeurochemistrySection of NeurologyDepartment of Medicine and SurgeryUniversity of PerugiaPerugiaItaly
| | - Nicola Salvadori
- Center for Memory DisturbancesLab of Clinical NeurochemistrySection of NeurologyDepartment of Medicine and SurgeryUniversity of PerugiaPerugiaItaly
| | - Davide Chiasserini
- Section of Physiology and BiochemistryDepartment of Medicine and SurgeryUniversity of PerugiaPerugiaItaly
| | - Anna Lidia Wojdaƚa
- Center for Memory DisturbancesLab of Clinical NeurochemistrySection of NeurologyDepartment of Medicine and SurgeryUniversity of PerugiaPerugiaItaly
| | | | - Lucilla Parnetti
- Center for Memory DisturbancesLab of Clinical NeurochemistrySection of NeurologyDepartment of Medicine and SurgeryUniversity of PerugiaPerugiaItaly
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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
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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.
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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
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Parnetti L, Paoletti FP. Fluid Biomarkers for Trial Enrichment and Effect Monitoring in Disease-Modifying Treatments for Parkinson Disease. Neurology 2024; 102:e209194. [PMID: 38315967 DOI: 10.1212/wnl.0000000000209194] [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: 11/15/2023] [Accepted: 12/12/2023] [Indexed: 02/07/2024] Open
Affiliation(s)
- Lucilla Parnetti
- From the Section of Neurology, Laboratory of Clinical Neurochemistry, Department of Medicine and Surgery, University of Perugia, Italy
| | - Federico Paolini Paoletti
- From the Section of Neurology, Laboratory of Clinical Neurochemistry, Department of Medicine and Surgery, University of Perugia, Italy
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Xie H, Zhang C. Potential of the nanoplatform and PROTAC interface to achieve targeted protein degradation through the Ubiquitin-Proteasome system. Eur J Med Chem 2024; 267:116168. [PMID: 38310686 DOI: 10.1016/j.ejmech.2024.116168] [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: 11/03/2023] [Revised: 01/11/2024] [Accepted: 01/21/2024] [Indexed: 02/06/2024]
Abstract
In eukaryotic cells, the ubiquitin-proteasome system (UPS) plays a crucial role in selectively breaking down specific proteins. The ability of the UPS to target proteins effectively and expedite their removal has significantly contributed to the evolution of UPS-based targeted protein degradation (TPD) strategies. In particular, proteolysis targeting chimeras (PROTACs) are an immensely promising tool due to their high efficiency, extensive target range, and negligible drug resistance. This breakthrough has overcome the limitations posed by traditionally "non-druggable" proteins. However, their high molecular weight and constrained solubility impede the delivery of PROTACs. Fortunately, the field of nanomedicine has experienced significant growth, enabling the delivery of PROTACs through nanoscale drug-delivery systems, which effectively improves the stability, solubility, drug distribution, tissue-specific accumulation, and stimulus-responsive release of PROTACs. This article reviews the mechanism of action attributed to PROTACs and their potential implications for clinical applications. Moreover, we present strategies involving nanoplatforms for the effective delivery of PROTACs and evaluate recent advances in targeting nanoplatforms to the UPS. Ultimately, an assessment is conducted to determine the feasibility of utilizing PROTACs and nanoplatforms for UPS-based TPD. The primary aim of this review is to provide innovative, reliable solutions to overcome the current challenges obstructing the effective use of PROTACs in the management of cancer, neurodegenerative diseases, and metabolic syndrome. Therefore, this is a promising technology for improving the treatment status of major diseases.
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Affiliation(s)
- Hanshu Xie
- Stomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou, 510280, China
| | - Chao Zhang
- Stomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou, 510280, China.
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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.
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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
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12
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Mahlknecht P, Poewe W. Pharmacotherapy for Disease Modification in Early Parkinson's Disease: How Early Should We Be? J Parkinsons Dis 2024:JPD230354. [PMID: 38427503 DOI: 10.3233/jpd-230354] [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: 03/03/2024]
Abstract
Slowing or halting progression continues to be a major unmet medical need in Parkinson's disease (PD). Numerous trials over the past decades have tested a broad range of interventions without ultimate success. There are many potential reasons for this failure and much debate has focused on the need to test 'disease-modifying' candidate drugs in the earliest stages of disease. While generally accepted as a rational approach, it is also associated with significant challenges around the selection of trial populations as well as trial outcomes and durations. From a health care perspective, intervening even earlier and before at-risk subjects have gone on to develop overt clinical disease is at the heart of preventive medicine. Recent attempts to develop a framework for a biological definition of PD are aiming to enable 'preclinical' and subtype-specific diagnostic approaches. The present review addresses past efforts towards disease-modification, including drug targets and reasons for failure, as well as novel targets that are currently being explored in disease-modification trials in early established PD. The new biological definitions of PD may offer new opportunities to intervene even earlier. We critically discuss the potential and challenges around planning 'disease-prevention' trials in subjects with biologically defined 'preclinical' or prodromal PD.
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Affiliation(s)
- Philipp Mahlknecht
- Department of Neurology, Innsbruck Medical University, Innsbruck, Austria
| | - Werner Poewe
- Department of Neurology, Innsbruck Medical University, Innsbruck, Austria
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13
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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.
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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.
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14
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Simuni T, Chahine LM, Poston K, Brumm M, Buracchio T, Campbell M, Chowdhury S, Coffey C, Concha-Marambio L, Dam T, DiBiaso P, Foroud T, Frasier M, Gochanour C, Jennings D, Kieburtz K, Kopil CM, Merchant K, Mollenhauer B, Montine T, Nudelman K, Pagano G, Seibyl J, Sherer T, Singleton A, Stephenson D, Stern M, Soto C, Tanner CM, Tolosa E, Weintraub D, Xiao Y, Siderowf A, Dunn B, Marek K. A biological definition of neuronal α-synuclein disease: towards an integrated staging system for research. Lancet Neurol 2024; 23:178-190. [PMID: 38267190 DOI: 10.1016/s1474-4422(23)00405-2] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [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: 07/21/2023] [Revised: 09/27/2023] [Accepted: 10/06/2023] [Indexed: 01/26/2024]
Abstract
Parkinson's disease and dementia with Lewy bodies are currently defined by their clinical features, with α-synuclein pathology as the gold standard to establish the definitive diagnosis. We propose that, given biomarker advances enabling accurate detection of pathological α-synuclein (ie, misfolded and aggregated) in CSF using the seed amplification assay, it is time to redefine Parkinson's disease and dementia with Lewy bodies as neuronal α-synuclein disease rather than as clinical syndromes. This major shift from a clinical to a biological definition of Parkinson's disease and dementia with Lewy bodies takes advantage of the availability of tools to assess the gold standard for diagnosis of neuronal α-synuclein (n-αsyn) in human beings during life. Neuronal α-synuclein disease is defined by the presence of pathological n-αsyn species detected in vivo (S; the first biological anchor) regardless of the presence of any specific clinical syndrome. On the basis of this definition, we propose that individuals with pathological n-αsyn aggregates are at risk for dopaminergic neuronal dysfunction (D; the second biological anchor). Our biological definition establishes a staging system, the neuronal α-synuclein disease integrated staging system (NSD-ISS), rooted in the biological anchors (S and D) and the degree of functional impairment caused by clinical signs or symptoms. Stages 0-1 occur without signs or symptoms and are defined by the presence of pathogenic variants in the SNCA gene (stage 0), S alone (stage 1A), or S and D (stage 1B). The presence of clinical manifestations marks the transition to stage 2 and beyond. Stage 2 is characterised by subtle signs or symptoms but without functional impairment. Stages 2B-6 require both S and D and stage-specific increases in functional impairment. A biological definition of neuronal α-synuclein disease and an NSD-ISS research framework are essential to enable interventional trials at early disease stages. The NSD-ISS will evolve to include the incorporation of data-driven definitions of stage-specific functional anchors and additional biomarkers as they emerge and are validated. Presently, the NSD-ISS is intended for research use only; its application in the clinical setting is premature and inappropriate.
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Affiliation(s)
- Tanya Simuni
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
| | - Lana M Chahine
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Kathleen Poston
- Department of Neurology, Stanford University School of Medicine, Palo Alto, CA, USA
| | - Michael Brumm
- Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, USA
| | - Teresa Buracchio
- Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA
| | - Michelle Campbell
- Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA
| | - Sohini Chowdhury
- The Michael J Fox Foundation for Parkinson's Research, New York, NY, USA
| | - Christopher Coffey
- Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, USA
| | | | | | - Peter DiBiaso
- Patient Advisory Council, New York, NY, USA; Clinical Solutions and Strategic Partnerships, WCG Clinical, Princeton, NJ, USA
| | - Tatiana Foroud
- Department of Medical and Molecular Genetics, Indiana University, Indianapolis, IN, USA
| | - Mark Frasier
- The Michael J Fox Foundation for Parkinson's Research, New York, NY, USA
| | - Caroline Gochanour
- Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, USA
| | | | - Karl Kieburtz
- Department of Neurology, University of Rochester Medical Center, Rochester, NY, USA
| | - Catherine M Kopil
- The Michael J Fox Foundation for Parkinson's Research, New York, NY, USA
| | - Kalpana Merchant
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Brit Mollenhauer
- Department of Neurology, University Medical Center Göttingen and Paracelsus-Elena-Klinik, Kassel, Germany
| | - Thomas Montine
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Kelly Nudelman
- Department of Medical and Molecular Genetics, Indiana University, Indianapolis, IN, USA
| | | | - John Seibyl
- Institute for Neurodegenerative Disorders, New Haven, CT, USA
| | - Todd Sherer
- The Michael J Fox Foundation for Parkinson's Research, New York, NY, USA
| | - Andrew Singleton
- National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Diane Stephenson
- Critical Path for Parkinson's, Critical Path Institute, Tucson, AZ, USA
| | - Matthew Stern
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Claudio Soto
- Amprion, San Diego, CA, USA; Mitchell Center for Alzheimer's Disease and Related Brain Disorders, Department of Neurology, University of Texas McGovern Medical School at Houston, Houston, TX, USA
| | - Caroline M Tanner
- Movement Disorders and Neuromodulation Center, Department of Neurology, Weill Institute for Neuroscience, University of California, San Francisco, CA, USA; Parkinson's Disease Research Education and Clinical Center, San Francisco Veterans Affairs Health Care System, San Francisco, CA, USA
| | - Eduardo Tolosa
- Parkinson's Disease and Movement Disorders Unit, Neurology Service, Hospital Clínic de Barcelona, Barcelona, Spain; Centro de Investigación Biomédica en Red Sobre Enfermedades Neurodegenerativas, Hospital Clínic, IDIBAPS, Universitat de Barcelona, Barcelona, Spain
| | - Daniel Weintraub
- University of Pennsylvania and the Parkinson's Disease and Mental Illness Research, Education and Clinical Centers, Philadelphia Veterans Affairs Medical Center Philadelphia, PA, USA
| | - Yuge Xiao
- The Michael J Fox Foundation for Parkinson's Research, New York, NY, USA
| | - Andrew Siderowf
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Billy Dunn
- The Michael J Fox Foundation for Parkinson's Research, New York, NY, USA
| | - Kenneth Marek
- Institute for Neurodegenerative Disorders, New Haven, CT, USA
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15
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Sekiya H, Koga S, Murakami A, Kawazoe M, Kim M, Martin NB, Uitti RJ, Cheshire WP, Wszolek ZK, Dickson DW. Validation Study of the MDS Criteria for the Diagnosis of Multiple System Atrophy in the Mayo Clinic Brain Bank. Neurology 2023; 101:e2460-e2471. [PMID: 37816641 PMCID: PMC10791062 DOI: 10.1212/wnl.0000000000207905] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [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: 05/05/2023] [Accepted: 08/15/2023] [Indexed: 10/12/2023] Open
Abstract
BACKGROUND AND OBJECTIVE The second consensus criteria in 2008 have been used in diagnosing multiple system atrophy (MSA). The International Parkinson and Movement Disorder Society (MDS) proposed new diagnostic criteria for MSA in 2022. This study aimed to compare the diagnostic accuracy between these 2 criteria and validate the clinical utility of the newly proposed criteria for MSA. METHODS We conducted a retrospective autopsy cohort study of consecutive patients with a clinical or pathologic diagnosis of MSA from the Mayo Clinic brain bank between 1998 and 2021. We studied 352 patients (250 pathologically diagnosed MSA and 102 non-MSA); MDS criteria and the second consensus criteria were applied. The sensitivity, specificity, and area under the curve (AUC) of receiver operating characteristic curves were compared between these criteria. Comparison was conducted between clinical subtypes and among clinically challenging cases (those with different clinical diagnoses or those with suspected but undiagnosed MSA before death). We also used machine learning algorithm, eXtreme Gradient Boosting, to identify clinical features contributing diagnostic performance. RESULTS The sensitivity and specificity of clinically established and probable MSA by the MDS criteria were 16% and 99% and 64% and 74%, respectively. The sensitivity and specificity of probable MSA and possible MSA by the second consensus criteria were 72% and 52% and 93% and 21%, respectively. The AUC of MDS clinically probable MSA was the highest (0.69). The diagnostic performance did not differ between clinical subtypes. In clinically challenging cases, MDS clinically established MSA maintained high specificity and MDS clinically probable MSA demonstrated the highest AUC (0.62). MRI findings contributed to high specificity. In addition, combining core clinical features with 2 or more from any of the 13 supporting features and the absence of exclusion criteria also yielded high specificity. Among supporting features, rapid progression was most important for predicting MSA pathology. DISCUSSION The MDS criteria showed high specificity with clinically established MSA and moderate sensitivity and specificity with clinically probable MSA. The observation that high specificity could be achieved with clinical features alone suggests that MSA diagnosis with high specificity is possible even in areas where MRI is not readily available.
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Affiliation(s)
- Hiroaki Sekiya
- From the Department of Neuroscience (H.S., S.K., A.M., M. Kawazoe, N.B.M., D.W.D.), Mayo Clinic, Jacksonville, FL; Division of Neurology (H.S.), Kobe University Graduate School of Medicine; Department of Neurology (A.M.), Kansai Medical University Hirakata, Japan; Departments of Artificial Intelligence and Informatics Research (M. Kim) and Neurology (R.J.U., W.P.C., Z.K.W.), Mayo Clinic, Jacksonville, FL
| | - Shunsuke Koga
- From the Department of Neuroscience (H.S., S.K., A.M., M. Kawazoe, N.B.M., D.W.D.), Mayo Clinic, Jacksonville, FL; Division of Neurology (H.S.), Kobe University Graduate School of Medicine; Department of Neurology (A.M.), Kansai Medical University Hirakata, Japan; Departments of Artificial Intelligence and Informatics Research (M. Kim) and Neurology (R.J.U., W.P.C., Z.K.W.), Mayo Clinic, Jacksonville, FL
| | - Aya Murakami
- From the Department of Neuroscience (H.S., S.K., A.M., M. Kawazoe, N.B.M., D.W.D.), Mayo Clinic, Jacksonville, FL; Division of Neurology (H.S.), Kobe University Graduate School of Medicine; Department of Neurology (A.M.), Kansai Medical University Hirakata, Japan; Departments of Artificial Intelligence and Informatics Research (M. Kim) and Neurology (R.J.U., W.P.C., Z.K.W.), Mayo Clinic, Jacksonville, FL
| | - Miki Kawazoe
- From the Department of Neuroscience (H.S., S.K., A.M., M. Kawazoe, N.B.M., D.W.D.), Mayo Clinic, Jacksonville, FL; Division of Neurology (H.S.), Kobe University Graduate School of Medicine; Department of Neurology (A.M.), Kansai Medical University Hirakata, Japan; Departments of Artificial Intelligence and Informatics Research (M. Kim) and Neurology (R.J.U., W.P.C., Z.K.W.), Mayo Clinic, Jacksonville, FL
| | - Minji Kim
- From the Department of Neuroscience (H.S., S.K., A.M., M. Kawazoe, N.B.M., D.W.D.), Mayo Clinic, Jacksonville, FL; Division of Neurology (H.S.), Kobe University Graduate School of Medicine; Department of Neurology (A.M.), Kansai Medical University Hirakata, Japan; Departments of Artificial Intelligence and Informatics Research (M. Kim) and Neurology (R.J.U., W.P.C., Z.K.W.), Mayo Clinic, Jacksonville, FL
| | - Nicholas B Martin
- From the Department of Neuroscience (H.S., S.K., A.M., M. Kawazoe, N.B.M., D.W.D.), Mayo Clinic, Jacksonville, FL; Division of Neurology (H.S.), Kobe University Graduate School of Medicine; Department of Neurology (A.M.), Kansai Medical University Hirakata, Japan; Departments of Artificial Intelligence and Informatics Research (M. Kim) and Neurology (R.J.U., W.P.C., Z.K.W.), Mayo Clinic, Jacksonville, FL
| | - Ryan J Uitti
- From the Department of Neuroscience (H.S., S.K., A.M., M. Kawazoe, N.B.M., D.W.D.), Mayo Clinic, Jacksonville, FL; Division of Neurology (H.S.), Kobe University Graduate School of Medicine; Department of Neurology (A.M.), Kansai Medical University Hirakata, Japan; Departments of Artificial Intelligence and Informatics Research (M. Kim) and Neurology (R.J.U., W.P.C., Z.K.W.), Mayo Clinic, Jacksonville, FL
| | - William P Cheshire
- From the Department of Neuroscience (H.S., S.K., A.M., M. Kawazoe, N.B.M., D.W.D.), Mayo Clinic, Jacksonville, FL; Division of Neurology (H.S.), Kobe University Graduate School of Medicine; Department of Neurology (A.M.), Kansai Medical University Hirakata, Japan; Departments of Artificial Intelligence and Informatics Research (M. Kim) and Neurology (R.J.U., W.P.C., Z.K.W.), Mayo Clinic, Jacksonville, FL
| | - Zbigniew K Wszolek
- From the Department of Neuroscience (H.S., S.K., A.M., M. Kawazoe, N.B.M., D.W.D.), Mayo Clinic, Jacksonville, FL; Division of Neurology (H.S.), Kobe University Graduate School of Medicine; Department of Neurology (A.M.), Kansai Medical University Hirakata, Japan; Departments of Artificial Intelligence and Informatics Research (M. Kim) and Neurology (R.J.U., W.P.C., Z.K.W.), Mayo Clinic, Jacksonville, FL
| | - Dennis W Dickson
- From the Department of Neuroscience (H.S., S.K., A.M., M. Kawazoe, N.B.M., D.W.D.), Mayo Clinic, Jacksonville, FL; Division of Neurology (H.S.), Kobe University Graduate School of Medicine; Department of Neurology (A.M.), Kansai Medical University Hirakata, Japan; Departments of Artificial Intelligence and Informatics Research (M. Kim) and Neurology (R.J.U., W.P.C., Z.K.W.), Mayo Clinic, Jacksonville, FL
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16
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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.
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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
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17
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Parnetti L, Bellomo G, Compta Y. Lipoproteins and α-synuclein in cerebrospinal fluid in Parkinson's disease: "Dangerous liaisons" on the road to neurodegeneration? Parkinsonism Relat Disord 2023; 116:105884. [PMID: 37845147 DOI: 10.1016/j.parkreldis.2023.105884] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2023] [Accepted: 09/30/2023] [Indexed: 10/18/2023]
Affiliation(s)
- Lucilla Parnetti
- Section of Neurology - Lab of Clinical Neurochemistry, Dept of Medicine and Surgery, University of Perugia, Italy.
| | - Giovanni Bellomo
- Section of Neurology - Lab of Clinical Neurochemistry, Dept of Medicine and Surgery, University of Perugia, Italy
| | - Yaroslau Compta
- Parkinson's Disease & Movement Disorders Unit, Neurology Service, Hospital Clínic i Universitari de Barcelona, IDIBAPS, CIBERNED (CB06/05/0018-ISCIII), ERN- RND, InstitutClínic de Neurociències UBNeuro (Maria de Maeztu Excellence Centre), Universitat de Barcelona, Barcelona, Catalonia, Spain
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18
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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
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19
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Parnetti L, Bellomo G. Advances in Diagnosis and Prognosis of Parkinson Disease: Value of CSF Proteomics. Neurology 2023; 101:595-596. [PMID: 37586883 DOI: 10.1212/wnl.0000000000207724] [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: 06/07/2023] [Accepted: 06/14/2023] [Indexed: 08/18/2023] Open
Affiliation(s)
- Lucilla Parnetti
- From the Section of Neurology, Lab of Clinical Neurochemistry, Department of Medicine and Surgery, University of Perugia, Italy.
| | - Giovanni Bellomo
- From the Section of Neurology, Lab of Clinical Neurochemistry, Department of Medicine and Surgery, University of Perugia, Italy
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20
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Mantyh WG, Block AD, Castro MR, Hansen A, Matheson MJ, Strong C, Hill A, Cayci Z, Henderson JN. Characteristics of Recurrent Visions of the Nonphysical World Among Cognitively Unimpaired Elders of the Ojibwe Tribal Nation. JAMA Netw Open 2023; 6:e2338221. [PMID: 37851441 PMCID: PMC10585403 DOI: 10.1001/jamanetworkopen.2023.38221] [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] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 08/28/2023] [Indexed: 10/19/2023] Open
Abstract
Importance Visual hallucinations are a core feature of dementia with Lewy bodies and primary psychiatric disease, yet identification of a hallucination vs normal spiritual experience depends on cultural context. Almost no information exists in the medical literature regarding normal spiritual experiences in American Indian participants in the context of a neurocognitive evaluation. Objective To assess the characteristics of a normal spiritual experience in an Ojibwe Tribal Nation. Design, Setting, and Participants This prospective, cross-sectional study was conducted between August 1, 2021, and August 31, 2022, among an Ojibwe Tribal Nation in northern Minnesota. Participants were evaluated at their tribal nation clinic. Cognitively unimpaired tribal Elders who were enrolled members of the tribal nation and aged 55 years or older were invited to participate via fliers, radio advertisements, and health fair presentations. Thirty-seven tribal Elders volunteered. Main Outcomes and Measures Each participant was asked whether they experienced hallucinations or visions of people, animals, or objects that are not part of the physical world. This was an a priori formulated question and part of a comprehensive neurocognitive evaluation consisting of history and physical examination (including cognitive screening with a subspecialty-trained behavioral neurologist); blood tests for metabolic, nutritional, and thyroid conditions; and noncontrast magnetic resonance imaging brain scan. Four patients were excluded from the present analysis due to having mild cognitive impairment or dementia. Results Thirty-three cognitively unimpaired tribal Elders (mean [SD] age, 66.0 [7.5] years; 22 women [67%]) were included. Sixteen (48%) answered affirmatively, reporting recurrent visions of the nonphysical world. Generally, these visions were well formed, benevolent in nature, and transient; started in preadolescence; involved spirits or ancestors; and were congruent with cultural and spiritual beliefs of the Ojibwe people. No patients had accompanying dream enactment behavior, dysautonomia, parkinsonism, sleep transition-related hallucinations, or moderate to severe depression to suggest a prodrome of an α-synucleinopathy, hypnopompic or hypnagogic hallucinations, or psychosis. Conclusions and Relevance Although based on only 1 Ojibwe Tribal Nation, this study suggests that formed visions of the nonphysical world are common among cognitively healthy Ojibwe individuals and can represent normal spiritual experiences. Clinicians would benefit from careful consideration of cultural or spiritual context to avoid misdiagnosis of neuropsychiatric disease.
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Affiliation(s)
| | - Adam D. Block
- Department of Neurology, University of Minnesota, Minneapolis
| | - Madelyn R. Castro
- Department of Neurology, University of Minnesota, Minneapolis
- Department of Psychological Sciences, Rice University, Houston, Texas
| | - Adam Hansen
- Department of Neurology, University of Minnesota, Minneapolis
| | | | - Corey Strong
- Bois Forte Health Services, Bois Forte Band of Chippewa, Nett Lake, Minnesota
| | - Annamarie Hill
- Memory Keepers Medical Discovery Team, University of Minnesota Duluth, Duluth
- Community Outreach, Strategy, External Relations, University of Minnesota Duluth, Duluth
| | - Zuzan Cayci
- Department of Radiology, University of Minnesota, Minneapolis
| | - J. Neil Henderson
- Memory Keepers Medical Discovery Team, University of Minnesota Duluth, Duluth
- Department of Family Medicine and Biobehavioral Health, University of Minnesota Duluth, Duluth
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21
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Bartsch T, Berg D, Heneka M, Leypoldt F. [Parkinson's and Alzheimer's disease as system-wide neurodegenerative disorders]. Nervenarzt 2023; 94:875-884. [PMID: 37672086 DOI: 10.1007/s00115-023-01542-z] [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] [Accepted: 08/25/2023] [Indexed: 09/07/2023]
Abstract
BACKGROUND Parkinson's and Alzheimer's disease (PD/AD) are characterized by cellular pathological changes that precede clinical manifestation and symptom onset by decades (prodromal period) as well as by a heterogeneity of clinical symptoms. Both diseases are recognized as system-wide diseases with organ-transgressing dysregulation and involvement of immunological and neuroinflammatory mechanisms facilitating pathological protein aggregation and neurodegeneration. OBJECTIVES Overview of natural course, phenotypes and classification of PD/AD with a focus on underlying (system-wide) immunological and neuroinflammatory mechanisms. METHODS Literature research and consideration of expert opinions. RESULTS The accumulation of misfolded proteins such as amyloid‑β and synuclein in the course of neurodegenerative processes forms the basis of the current biological classifications, understanding of course and subtypes. Protein aggregation in PD/AD induces an innate immune response by activating microglia and the release of inflammatory mediators such as cytokines and chemokines and leading to further spread of neurodegeneration and accumulation of intracellular neurofibrillary tangles (NFTs). There is also growing evidence that adaptive immune responses involving auto-antibodies or auto-antigen-specific T‑/B-cell reactions involving tau, amyloid‑β or synuclein might be involved in the disease progression or subtypes of PD/AD. CONCLUSIONS Both innate and adaptive immune responses seem to be substantially involved in the pathological cascade leading to neurodegeneration in PD/AD and may contribute to disease progression and clinical subtypes. Thus, future targeted interventions should not only focus on protein aggregation but also on neuroinflammatory and immunological mechanisms.
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Affiliation(s)
- Thorsten Bartsch
- Klinik für Neurologie, Universitätsklinikum Schleswig-Holstein, Campus Kiel, Kiel, Deutschland.
- Klinik für Neurologie, AG Gedächtnis und Plastizität, Gedächtnis- und Demenzsprechstunde, Universitätsklinikum Schleswig-Holstein, Campus Kiel, Arnold-Heller-Str. 3, 24105, Kiel, Deutschland.
| | - Daniela Berg
- Klinik für Neurologie, Universitätsklinikum Schleswig-Holstein, Campus Kiel, Kiel, Deutschland
| | - Michael Heneka
- Luxembourg Centre for Systems Biomedicine, Université du Luxembourg, Belvaux, Luxemburg
| | - Frank Leypoldt
- Klinik für Neurologie, Universitätsklinikum Schleswig-Holstein, Campus Kiel, Kiel, Deutschland
- Institut für Klinische Chemie, Universitätsklinikum Schleswig-Holstein, Campus Kiel und Lübeck, Kiel, Deutschland
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22
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Teunissen CE, Kimble L, Bayoumy S, Bolsewig K, Burtscher F, Coppens S, Das S, Gogishvili D, Fernandes Gomes B, Gómez de San José N, Mavrina E, Meda FJ, Mohaupt P, Mravinacová S, Waury K, Wojdała AL, Abeln S, Chiasserini D, Hirtz C, Gaetani L, Vermunt L, Bellomo G, Halbgebauer S, Lehmann S, Månberg A, Nilsson P, Otto M, Vanmechelen E, Verberk IMW, Willemse E, Zetterberg H. Methods to Discover and Validate Biofluid-Based Biomarkers in Neurodegenerative Dementias. Mol Cell Proteomics 2023; 22:100629. [PMID: 37557955 PMCID: PMC10594029 DOI: 10.1016/j.mcpro.2023.100629] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [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: 01/19/2023] [Revised: 07/24/2023] [Accepted: 07/31/2023] [Indexed: 08/11/2023] Open
Abstract
Neurodegenerative dementias are progressive diseases that cause neuronal network breakdown in different brain regions often because of accumulation of misfolded proteins in the brain extracellular matrix, such as amyloids or inside neurons or other cell types of the brain. Several diagnostic protein biomarkers in body fluids are being used and implemented, such as for Alzheimer's disease. However, there is still a lack of biomarkers for co-pathologies and other causes of dementia. Such biofluid-based biomarkers enable precision medicine approaches for diagnosis and treatment, allow to learn more about underlying disease processes, and facilitate the development of patient inclusion and evaluation tools in clinical trials. When designing studies to discover novel biofluid-based biomarkers, choice of technology is an important starting point. But there are so many technologies to choose among. To address this, we here review the technologies that are currently available in research settings and, in some cases, in clinical laboratory practice. This presents a form of lexicon on each technology addressing its use in research and clinics, its strengths and limitations, and a future perspective.
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Affiliation(s)
- Charlotte E Teunissen
- MIRIADE Consortium, Multiomics Interdisciplinary Research Integration to Address DEmentia diagnosis, Amsterdam, The Netherlands; Neurochemistry Lab, Department of Laboratory Medicine, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit, Amsterdam, Netherlands.
| | - Leighann Kimble
- MIRIADE Consortium, Multiomics Interdisciplinary Research Integration to Address DEmentia diagnosis, Amsterdam, The Netherlands; KIN Center for Digital Innovation, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Sherif Bayoumy
- MIRIADE Consortium, Multiomics Interdisciplinary Research Integration to Address DEmentia diagnosis, Amsterdam, The Netherlands; Neurochemistry Lab, Department of Laboratory Medicine, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit, Amsterdam, Netherlands
| | - Katharina Bolsewig
- MIRIADE Consortium, Multiomics Interdisciplinary Research Integration to Address DEmentia diagnosis, Amsterdam, The Netherlands; Neurochemistry Lab, Department of Laboratory Medicine, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit, Amsterdam, Netherlands
| | - Felicia Burtscher
- MIRIADE Consortium, Multiomics Interdisciplinary Research Integration to Address DEmentia diagnosis, Amsterdam, The Netherlands; Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Salomé Coppens
- MIRIADE Consortium, Multiomics Interdisciplinary Research Integration to Address DEmentia diagnosis, Amsterdam, The Netherlands; National Measurement Laboratory at LGC, Teddington, United Kingdom
| | - Shreyasee Das
- MIRIADE Consortium, Multiomics Interdisciplinary Research Integration to Address DEmentia diagnosis, Amsterdam, The Netherlands; ADx NeuroSciences, Gent, Belgium
| | - Dea Gogishvili
- MIRIADE Consortium, Multiomics Interdisciplinary Research Integration to Address DEmentia diagnosis, Amsterdam, The Netherlands; Department of Computer Science, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Bárbara Fernandes Gomes
- MIRIADE Consortium, Multiomics Interdisciplinary Research Integration to Address DEmentia diagnosis, Amsterdam, The Netherlands; Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Nerea Gómez de San José
- MIRIADE Consortium, Multiomics Interdisciplinary Research Integration to Address DEmentia diagnosis, Amsterdam, The Netherlands; Department of Neurology, University of Ulm, Ulm, Germany
| | - Ekaterina Mavrina
- MIRIADE Consortium, Multiomics Interdisciplinary Research Integration to Address DEmentia diagnosis, Amsterdam, The Netherlands; KIN Center for Digital Innovation, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Francisco J Meda
- MIRIADE Consortium, Multiomics Interdisciplinary Research Integration to Address DEmentia diagnosis, Amsterdam, The Netherlands; Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Pablo Mohaupt
- MIRIADE Consortium, Multiomics Interdisciplinary Research Integration to Address DEmentia diagnosis, Amsterdam, The Netherlands; LBPC-PPC, IRMB CHU Montpellier, INM INSERM, Université de Montpellier, Montpellier, France
| | - Sára Mravinacová
- MIRIADE Consortium, Multiomics Interdisciplinary Research Integration to Address DEmentia diagnosis, Amsterdam, The Netherlands; Division of Affinity Proteomics, Department of Protein Science, KTH Royal Institute of Technology, SciLifeLab, Stockholm, Sweden
| | - Katharina Waury
- MIRIADE Consortium, Multiomics Interdisciplinary Research Integration to Address DEmentia diagnosis, Amsterdam, The Netherlands; Department of Computer Science, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Anna Lidia Wojdała
- MIRIADE Consortium, Multiomics Interdisciplinary Research Integration to Address DEmentia diagnosis, Amsterdam, The Netherlands; Section of Neurology, Department of Medicine and Surgery, University of Perugia, Perugia, Italy
| | - Sanne Abeln
- MIRIADE Consortium, Multiomics Interdisciplinary Research Integration to Address DEmentia diagnosis, Amsterdam, The Netherlands; Department of Computer Science, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Davide Chiasserini
- MIRIADE Consortium, Multiomics Interdisciplinary Research Integration to Address DEmentia diagnosis, Amsterdam, The Netherlands; Section of Physiology and Biochemistry, Department of Medicine and Surgery, University of Perugia, Perugia, Italy
| | - Christophe Hirtz
- MIRIADE Consortium, Multiomics Interdisciplinary Research Integration to Address DEmentia diagnosis, Amsterdam, The Netherlands; LBPC-PPC, IRMB CHU Montpellier, INM INSERM, Université de Montpellier, Montpellier, France
| | - Lorenzo Gaetani
- MIRIADE Consortium, Multiomics Interdisciplinary Research Integration to Address DEmentia diagnosis, Amsterdam, The Netherlands; Section of Neurology, Department of Medicine and Surgery, University of Perugia, Perugia, Italy
| | - Lisa Vermunt
- Neurochemistry Lab, Department of Laboratory Medicine, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit, Amsterdam, Netherlands
| | - Giovanni Bellomo
- MIRIADE Consortium, Multiomics Interdisciplinary Research Integration to Address DEmentia diagnosis, Amsterdam, The Netherlands; Section of Neurology, Department of Medicine and Surgery, University of Perugia, Perugia, Italy
| | - Steffen Halbgebauer
- MIRIADE Consortium, Multiomics Interdisciplinary Research Integration to Address DEmentia diagnosis, Amsterdam, The Netherlands; Department of Neurology, University of Ulm, Ulm, Germany; German Center for Neurodegenerative Diseases (DZNE e.V.), Ulm, Germany
| | - Sylvain Lehmann
- MIRIADE Consortium, Multiomics Interdisciplinary Research Integration to Address DEmentia diagnosis, Amsterdam, The Netherlands; LBPC-PPC, IRMB CHU Montpellier, INM INSERM, Université de Montpellier, Montpellier, France
| | - Anna Månberg
- MIRIADE Consortium, Multiomics Interdisciplinary Research Integration to Address DEmentia diagnosis, Amsterdam, The Netherlands; Division of Affinity Proteomics, Department of Protein Science, KTH Royal Institute of Technology, SciLifeLab, Stockholm, Sweden
| | - Peter Nilsson
- MIRIADE Consortium, Multiomics Interdisciplinary Research Integration to Address DEmentia diagnosis, Amsterdam, The Netherlands; Division of Affinity Proteomics, Department of Protein Science, KTH Royal Institute of Technology, SciLifeLab, Stockholm, Sweden
| | - Markus Otto
- MIRIADE Consortium, Multiomics Interdisciplinary Research Integration to Address DEmentia diagnosis, Amsterdam, The Netherlands; Department of Neurology, University of Ulm, Ulm, Germany; Department of Neurology, Martin-Luther-University Halle-Wittenberg, Halle, Germany
| | - Eugeen Vanmechelen
- MIRIADE Consortium, Multiomics Interdisciplinary Research Integration to Address DEmentia diagnosis, Amsterdam, The Netherlands; ADx NeuroSciences, Gent, Belgium
| | - Inge M W Verberk
- MIRIADE Consortium, Multiomics Interdisciplinary Research Integration to Address DEmentia diagnosis, Amsterdam, The Netherlands; Neurochemistry Lab, Department of Laboratory Medicine, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit, Amsterdam, Netherlands
| | - Eline Willemse
- MIRIADE Consortium, Multiomics Interdisciplinary Research Integration to Address DEmentia diagnosis, Amsterdam, The Netherlands; Neurochemistry Lab, Department of Laboratory Medicine, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit, Amsterdam, Netherlands
| | - Henrik Zetterberg
- MIRIADE Consortium, Multiomics Interdisciplinary Research Integration to Address DEmentia diagnosis, Amsterdam, The Netherlands; Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK; UK Dementia Research Institute at UCL, London, UK; Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong Kong, China; Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, USA
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23
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Kell DB, Pretorius E. Are fibrinaloid microclots a cause of autoimmunity in Long Covid and other post-infection diseases? Biochem J 2023; 480:1217-1240. [PMID: 37584410 DOI: 10.1042/bcj20230241] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [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: 06/08/2023] [Revised: 08/03/2023] [Accepted: 08/07/2023] [Indexed: 08/17/2023]
Abstract
It is now well established that the blood-clotting protein fibrinogen can polymerise into an anomalous form of fibrin that is amyloid in character; the resultant clots and microclots entrap many other molecules, stain with fluorogenic amyloid stains, are rather resistant to fibrinolysis, can block up microcapillaries, are implicated in a variety of diseases including Long COVID, and have been referred to as fibrinaloids. A necessary corollary of this anomalous polymerisation is the generation of novel epitopes in proteins that would normally be seen as 'self', and otherwise immunologically silent. The precise conformation of the resulting fibrinaloid clots (that, as with prions and classical amyloid proteins, can adopt multiple, stable conformations) must depend on the existing small molecules and metal ions that the fibrinogen may (and is some cases is known to) have bound before polymerisation. Any such novel epitopes, however, are likely to lead to the generation of autoantibodies. A convergent phenomenology, including distinct conformations and seeding of the anomalous form for initiation and propagation, is emerging to link knowledge in prions, prionoids, amyloids and now fibrinaloids. We here summarise the evidence for the above reasoning, which has substantial implications for our understanding of the genesis of autoimmunity (and the possible prevention thereof) based on the primary process of fibrinaloid formation.
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Affiliation(s)
- Douglas B Kell
- Department of Biochemistry, Cell and Systems Biology, Institute of Systems, Molecular and Integrative Biology, Faculty of Health and Life Sciences, University of Liverpool, Liverpool L69 7ZB, U.K
- The Novo Nordisk Foundation Centre for Biosustainability, Technical University of Denmark, Kemitorvet 200, 2800 Kgs Lyngby, Denmark
- Department of Physiological Sciences, Faculty of Science, Stellenbosch University, Private Bag X1 Matieland, Stellenbosch 7602, South Africa
| | - Etheresia Pretorius
- Department of Biochemistry, Cell and Systems Biology, Institute of Systems, Molecular and Integrative Biology, Faculty of Health and Life Sciences, University of Liverpool, Liverpool L69 7ZB, U.K
- Department of Physiological Sciences, Faculty of Science, Stellenbosch University, Private Bag X1 Matieland, Stellenbosch 7602, South Africa
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24
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Quadalti C, Palmqvist S, Hall S, Rossi M, Mammana A, Janelidze S, Dellavalle S, Mattsson-Carlgren N, Baiardi S, Stomrud E, Hansson O, Parchi P. Clinical effects of Lewy body pathology in cognitively impaired individuals. Nat Med 2023; 29:1964-1970. [PMID: 37464058 PMCID: PMC10427416 DOI: 10.1038/s41591-023-02449-7] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [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: 01/21/2023] [Accepted: 06/08/2023] [Indexed: 07/20/2023]
Abstract
There is poor knowledge about the clinical effects of Lewy body (LB) pathology in patients with cognitive impairment, especially when coexisting with Alzheimer's disease (AD) pathology (amyloid-β and tau). Using a seed amplification assay, we analyzed cerebrospinal fluid for misfolded LB-associated α-synuclein in 883 memory clinic patients with mild cognitive impairment or dementia from the BioFINDER study. Twenty-three percent had LB pathology, of which only 21% fulfilled clinical criteria of Parkinson's disease or dementia with Lewy bodies at baseline. Among these LB-positive patients, 48% had AD pathology. Fifty-four percent had AD pathology in the whole sample (17% of mild cognitive impairment and 24% of patients with dementia were also LB-positive). When examining independent cross-sectional effects, LB pathology but not amyloid-β or tau, was associated with hallucinations and worse attention/executive, visuospatial and motor function. LB pathology was also associated with faster longitudinal decline in all examined cognitive functions, independent of amyloid-β, tau, cognitive stage and a baseline diagnosis of dementia with Lewy bodies/Parkinson's disease. LB status provides a better precision-medicine approach to predict clinical trajectories independent of AD biomarkers and a clinical diagnosis, which could have implications for the clinical management of cognitive impairment and the design of AD and LB drug trials.
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Affiliation(s)
- Corinne Quadalti
- IRCCS, Istituto delle Scienze Neurologiche di Bologna (ISNB), Bologna, Italy
| | - Sebastian Palmqvist
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden
- Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - Sara Hall
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden
- Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - Marcello Rossi
- IRCCS, Istituto delle Scienze Neurologiche di Bologna (ISNB), Bologna, Italy
| | - Angela Mammana
- IRCCS, Istituto delle Scienze Neurologiche di Bologna (ISNB), Bologna, Italy
| | - Shorena Janelidze
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden
| | - Sofia Dellavalle
- IRCCS, Istituto delle Scienze Neurologiche di Bologna (ISNB), Bologna, Italy
| | - Niklas Mattsson-Carlgren
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden
- Neurology Clinic, Skåne University Hospital, Lund, Sweden
- Wallenberg Center for Molecular Medicine, Lund University, Lund, Sweden
| | - Simone Baiardi
- IRCCS, Istituto delle Scienze Neurologiche di Bologna (ISNB), Bologna, Italy
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Erik Stomrud
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden
- Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - Oskar Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden.
- Memory Clinic, Skåne University Hospital, Malmö, Sweden.
| | - Piero Parchi
- IRCCS, Istituto delle Scienze Neurologiche di Bologna (ISNB), Bologna, Italy.
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy.
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25
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Palmqvist S, Rossi M, Hall S, Quadalti C, Mattsson-Carlgren N, Dellavalle S, Tideman P, Pereira JB, Nilsson MH, Mammana A, Janelidze S, Baiardi S, Stomrud E, Parchi P, Hansson O. Cognitive effects of Lewy body pathology in clinically unimpaired individuals. Nat Med 2023; 29:1971-1978. [PMID: 37464059 PMCID: PMC10427420 DOI: 10.1038/s41591-023-02450-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [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: 01/21/2023] [Accepted: 06/08/2023] [Indexed: 07/20/2023]
Abstract
α-Synuclein aggregates constitute the pathology of Lewy body (LB) disease. Little is known about the effects of LB pathology in preclinical (presymptomatic) individuals, either as isolated pathology or coexisting with Alzheimer's disease (AD) pathology (β-amyloid (Aβ) and tau). We examined the effects of LB pathology using a cerebrospinal fluid α-synuclein-seed amplification assay in 1,182 cognitively and neurologically unimpaired participants from the BioFINDER study: 8% were LB positive, 26% Aβ positive (13% of those were LB positive) and 16% tau positive. LB positivity occurred more often in the presence of Aβ positivity but not tau positivity. LB pathology had independently negative effects on cross-sectional and longitudinal global cognition and memory and on longitudinal attention/executive function. Tau had cognitive effects of a similar magnitude, but these were less pronounced for Aβ. Participants with both LB and AD (Aβ and tau) pathology exhibited faster cognitive decline than those with only LB or AD pathology. LB, but not AD, pathology was associated with reduced sense of smell. Only LB-positive participants progressed to clinical LB disease over 10 years. These results are important for individualized prognosis, recruitment and choice of outcome measures in preclinical LB disease trials, but also for the design of early AD trials because >10% of individuals with preclinical AD have coexisting LB pathology.
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Affiliation(s)
- Sebastian Palmqvist
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden
- Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - Marcello Rossi
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Sara Hall
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden
- Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - Corinne Quadalti
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Niklas Mattsson-Carlgren
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden
- Department of Neurology, Skåne University Hospital, Lund University, Lund, Sweden
- Wallenberg Center for Molecular Medicine, Lund University, Lund, Sweden
| | - Sofia Dellavalle
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Pontus Tideman
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden
- Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - Joana B Pereira
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden
| | - Maria H Nilsson
- Memory Clinic, Skåne University Hospital, Malmö, Sweden
- Department of Health Sciences, Lund University, Lund, Sweden
| | - Angela Mammana
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Shorena Janelidze
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden
- Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - Simone Baiardi
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Erik Stomrud
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden
- Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - Piero Parchi
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy.
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy.
| | - Oskar Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden.
- Memory Clinic, Skåne University Hospital, Malmö, Sweden.
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26
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Peng H, Chen S, Wu S, Shi X, Ma J, Yang H, Li X. Alpha-synuclein in skin as a high-quality biomarker for Parkinson's disease. J Neurol Sci 2023; 451:120730. [PMID: 37454572 DOI: 10.1016/j.jns.2023.120730] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 07/04/2023] [Accepted: 07/06/2023] [Indexed: 07/18/2023]
Abstract
Parkinson's disease (PD), the most common neurological motor system disorder, which characterised by the irreversible loss of dopaminergic neurones in the substantia nigra pars compacta, and leads to the deficiency of dopamine in the striatum. Deposited Lewy bodies (LBs) in diseased neurones and nerve terminals are the pathological hallmark of PD, and alpha-synuclein (α-Syn) is the most prominent protein in LBs. The tight association between α-Syn and the molecular pathology of PD has generatly increaed the interest in using the α-Syn species as biomarkers to diagnose early PD. α-Syn is not confined to the central nervous system, it is also present in the peripheral tissues, such as human skin. The assessment of skin α-Syn has the potential to be a diagnostic method that not only has excellent sensitivity, specificity, and reproducibility, but also convenient and acceptable to patients. In this review, we (i) integrate the biochemical, aggregation and structural features of α-Syn; (ii) map the distribution of the α-Syn species present in the brain, biological fluids, and peripheral tissues; and (iii) present a critical and comparative analysis of previous studies that have measured α-Syn in the skin. Finally, we provide an outlook on the future of skin biopsy as a diagnostic approach for PD, and highlight its potential implications for clinical trials, clinical decision-making, treatment strategies as well as the development of new therapies.
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Affiliation(s)
- Haoran Peng
- Department of Neurology, People's Hospital of Henan University, Zhengzhou, Henan 450003, China; Department of Neurology, Henan Provincial People's Hospital, Zhengzhou, Henan 450003, China
| | - Siyuan Chen
- Department of Neurology, People's Hospital of Henan University, Zhengzhou, Henan 450003, China; Department of Neurology, Henan Provincial People's Hospital, Zhengzhou, Henan 450003, China; Department of Neurology, People's Hospital of Zheng Zhou University, Zhengzhou, Henan 450003, China
| | - Shaopu Wu
- Department of Neurology, People's Hospital of Henan University, Zhengzhou, Henan 450003, China; Department of Neurology, Henan Provincial People's Hospital, Zhengzhou, Henan 450003, China; Department of Neurology, People's Hospital of Zheng Zhou University, Zhengzhou, Henan 450003, China
| | - Xiaoxue Shi
- Department of Neurology, Henan Provincial People's Hospital, Zhengzhou, Henan 450003, China; Department of Neurology, People's Hospital of Zheng Zhou University, Zhengzhou, Henan 450003, China
| | - Jianjun Ma
- Department of Neurology, People's Hospital of Henan University, Zhengzhou, Henan 450003, China; Department of Neurology, Henan Provincial People's Hospital, Zhengzhou, Henan 450003, China; Department of Neurology, People's Hospital of Zheng Zhou University, Zhengzhou, Henan 450003, China
| | - Hongqi Yang
- Department of Neurology, People's Hospital of Henan University, Zhengzhou, Henan 450003, China; Department of Neurology, Henan Provincial People's Hospital, Zhengzhou, Henan 450003, China; Department of Neurology, People's Hospital of Zheng Zhou University, Zhengzhou, Henan 450003, China
| | - Xue Li
- Department of Neurology, People's Hospital of Henan University, Zhengzhou, Henan 450003, China; Department of Neurology, Henan Provincial People's Hospital, Zhengzhou, Henan 450003, China; Department of Neurology, People's Hospital of Zheng Zhou University, Zhengzhou, Henan 450003, China.
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27
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Gaetani L, Chiasserini D, Paolini Paoletti F, Bellomo G, Parnetti L. Required improvements for cerebrospinal fluid-based biomarker tests of Alzheimer's disease. Expert Rev Mol Diagn 2023; 23:1195-1207. [PMID: 37902844 DOI: 10.1080/14737159.2023.2276918] [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: 04/26/2023] [Accepted: 10/25/2023] [Indexed: 11/01/2023]
Abstract
INTRODUCTION Cerebrospinal fluid (CSF) biomarkers represent a well-established tool for diagnosing Alzheimer's disease (AD), independently from the clinical stage, by reflecting the presence of brain amyloidosis (A+) and tauopathy (T+). In front of this important achievement, so far, (i) CSF AD biomarkers have not yet been adopted for routine clinical use in all Centers dedicated to AD, mainly due to inter-lab variation and lack of internationally accepted cutoff values; (ii) we do need to add other biomarkers more suitable to correlate with the clinical stage and disease monitoring; (iii) we also need to detect the co-presence of other 'non-AD' pathologies. AREAS COVERED Efforts to establish standardized cutoff values based on large-scale multi-center studies are discussed. The influence of aging and comorbidities on CSF biomarker levels is also analyzed, and possible solutions are presented, i.e. complementing the A/T/(N) system with markers of axonal damage and synaptic derangement. EXPERT OPINION The first, mandatory need is to reach common cutoff values and defined (automated) methodologies for CSF AD biomarkers. To properly select subjects deserving CSF analysis, blood tests might represent the first-line approach. In those subjects undergoing CSF analysis, multiple biomarkers, able to give a comprehensive and personalized pathophysiological/prognostic information, should be included.
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Affiliation(s)
- Lorenzo Gaetani
- Section of Neurology, Department of Medicine and Surgery, University of Perugia, Perugia, Italy
| | - Davide Chiasserini
- Section of Physiology and Biochemistry, Department of Medicine and Surgery, University of Perugia, Perugia, Italy
| | | | - Giovanni Bellomo
- Section of Neurology, Department of Medicine and Surgery, University of Perugia, Perugia, Italy
| | - Lucilla Parnetti
- Section of Neurology, Department of Medicine and Surgery, University of Perugia, Perugia, Italy
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28
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Chahine LM, Beach TG, Adler CH, Hepker M, Kanthasamy A, Appel S, Pritzkow S, Pinho M, Mosovsky S, Serrano GE, Coffey C, Brumm MC, Oliveira LMA, Eberling J, Mollenhauer B. Central and peripheral α-synuclein in Parkinson disease detected by seed amplification assay. Ann Clin Transl Neurol 2023; 10:696-705. [PMID: 36972727 PMCID: PMC10187727 DOI: 10.1002/acn3.51753] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Revised: 01/29/2023] [Accepted: 02/10/2023] [Indexed: 03/29/2023] Open
Abstract
OBJECTIVES Detection of α-synuclein aggregates by seed amplification is a promising Parkinson disease biomarker assay. Understanding intraindividual relationships of α-synuclein measures could inform optimal biomarker development. The objectives were to test accuracy of α-synuclein seed amplification assay in central (cerebrospinal fluid) and peripheral (submandibular gland) sources, compare to total α-synuclein measures, and investigate within-subject relationships. METHODS The Systemic Synuclein Sampling Study aimed to characterize α-synuclein in multiple tissues and biofluids within Parkinson disease subjects (n = 59) and compared to healthy controls (n = 21). Motor and non-motor measures and dopamine transporter scans were obtained. Four measures of α-synuclein were compared: seed amplification assay in cerebrospinal fluid and formalin-fixed paraffin-embedded submandibular gland, total α-synuclein quantified in biofluids using enzyme-linked immunoassay, and aggregated α-synuclein in submandibular gland detected by immunohistochemistry. Accuracy of seed amplification assay for Parkinson disease diagnosis was examined and within-subject α-synuclein measures were compared. RESULTS Sensitivity and specificity of α-synuclein seed amplification assay for Parkinson disease diagnosis was 92.6% and 90.5% in cerebrospinal fluid, and 73.2% and 78.6% in submandibular gland, respectively. 25/38 (65.8%) Parkinson disease participants were positive for both cerebrospinal fluid and submandibular gland seed amplification assay. Comparing accuracy for Parkinson disease diagnosis of different α-synuclein measures, cerebrospinal fluid seed amplification assay was the highest (Youden Index = 83.1%). 98.3% of all Parkinson disease cases had ≥1 measure of α-synuclein positive. INTERPRETATION α-synuclein seed amplification assay (cerebrospinal fluid>submandibular gland) had higher sensitivity and specificity compared to total α-synuclein measures, and within-subject relationships of central and peripheral α-synuclein measures emerged.
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Affiliation(s)
- Lana M. Chahine
- Department of NeurologyUniversity of PittsburghPittsburghPennsylvaniaUSA
| | | | - Charles H. Adler
- Department of NeurologyMayo Clinic College of MedicineScottsdaleArizonaUSA
| | | | - Anumantha Kanthasamy
- Center for Brain Science and Neurodegenerative Diseases, Department of Physiology and PharmacologyUniversity of GeorgiaAthensGeorgiaUSA
| | - Scott Appel
- Biostatistics Analysis CenterUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Sandra Pritzkow
- Department of NeurologyUniversity of Texas, McGovern Medical SchoolHoustonTexasUSA
| | - Michelle Pinho
- Department of NeurologyUniversity of Texas, McGovern Medical SchoolHoustonTexasUSA
| | - Sherri Mosovsky
- Department of NeurologyUniversity of PittsburghPittsburghPennsylvaniaUSA
| | | | - Christopher Coffey
- Banner Sun Health Research InstituteSun CityArizonaUSA
- Department of BiostatisticsUniversity of Iowa College of Public HealthIowa CityIowaUSA
| | - Michael C. Brumm
- Department of BiostatisticsUniversity of Iowa College of Public HealthIowa CityIowaUSA
| | - Luis M. A. Oliveira
- Banner Sun Health Research InstituteSun CityArizonaUSA
- The Michael J. Fox Foundation for Parkinson's ResearchNew YorkNew YorkUSA
| | - Jamie Eberling
- Banner Sun Health Research InstituteSun CityArizonaUSA
- The Michael J. Fox Foundation for Parkinson's ResearchNew YorkNew YorkUSA
| | - Brit Mollenhauer
- Center of Parkinsonism and Movement Disorders, Department of NeurologyParacelsus‐Elena Klinik Kassel and University Medical Center GöttingenGöttingenGermany
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29
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Abstract
A major transformation in dementia diagnosis and care appears imminent and will depend on three major types of biomarkers: molecular imaging, blood-based biomarkers, and cerebrospinal fluid biomarkers. Each modality has unique strengths and limitations that suggest its optimal uses in research, clinical trials, and clinical diagnosis.
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Affiliation(s)
- Suzanne E Schindler
- Department of Neurology, Washington University in St Louis, St Louis, MO, USA.
- Charles F. and Joanne Knight Alzheimer Disease Research Center, St Louis, MO, USA.
| | - Alireza Atri
- Banner Sun Health Research Institute, Banner Health, Sun City, AZ, USA
- Center for Brain/Mind Medicine, Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
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30
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Siderowf A, Concha-Marambio L, Lafontant DE, Farris CM, Ma Y, Urenia PA, Nguyen H, Alcalay RN, Chahine LM, Foroud T, Galasko D, Kieburtz K, Merchant K, Mollenhauer B, Poston KL, Seibyl J, Simuni T, Tanner CM, Weintraub D, Videnovic A, Choi SH, Kurth R, Caspell-Garcia C, Coffey CS, Frasier M, Oliveira LMA, Hutten SJ, Sherer T, Marek K, Soto C. Assessment of heterogeneity among participants in the Parkinson's Progression Markers Initiative cohort using α-synuclein seed amplification: a cross-sectional study. Lancet Neurol 2023; 22:407-417. [PMID: 37059509 PMCID: PMC10627170 DOI: 10.1016/s1474-4422(23)00109-6] [Citation(s) in RCA: 132] [Impact Index Per Article: 132.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Revised: 03/01/2023] [Accepted: 03/07/2023] [Indexed: 04/16/2023]
Abstract
BACKGROUND Emerging evidence shows that α-synuclein seed amplification assays (SAAs) have the potential to differentiate people with Parkinson's disease from healthy controls. We used the well characterised, multicentre Parkinson's Progression Markers Initiative (PPMI) cohort to further assess the diagnostic performance of the α-synuclein SAA and to examine whether the assay identifies heterogeneity among patients and enables the early identification of at-risk groups. METHODS This cross-sectional analysis is based on assessments done at enrolment for PPMI participants (including people with sporadic Parkinson's disease from LRRK2 and GBA variants, healthy controls, prodromal individuals with either rapid eye movement sleep behaviour disorder (RBD) or hyposmia, and non-manifesting carriers of LRRK2 and GBA variants) from 33 participating academic neurology outpatient practices worldwide (in Austria, Canada, France, Germany, Greece, Israel, Italy, the Netherlands, Norway, Spain, the UK, and the USA). α-synuclein SAA analysis of CSF was performed using previously described methods. We assessed the sensitivity and specificity of the α-synuclein SAA in participants with Parkinson's disease and healthy controls, including subgroups based on genetic and clinical features. We established the frequency of positive α-synuclein SAA results in prodromal participants (RBD and hyposmia) and non-manifesting carriers of genetic variants associated with Parkinson's disease, and compared α-synuclein SAA to clinical measures and other biomarkers. We used odds ratio estimates with 95% CIs to measure the association between α-synuclein SAA status and categorical measures, and two-sample 95% CIs from the resampling method to assess differences in medians between α-synuclein SAA positive and negative participants for continuous measures. A linear regression model was used to control for potential confounders such as age and sex. FINDINGS This analysis included 1123 participants who were enrolled between July 7, 2010, and July 4, 2019. Of these, 545 had Parkinson's disease, 163 were healthy controls, 54 were participants with scans without evidence of dopaminergic deficit, 51 were prodromal participants, and 310 were non-manifesting carriers. Sensitivity for Parkinson's disease was 87·7% (95% CI 84·9-90·5), and specificity for healthy controls was 96·3% (93·4-99·2). The sensitivity of the α-synuclein SAA in sporadic Parkinson's disease with the typical olfactory deficit was 98·6% (96·4-99·4). The proportion of positive α-synuclein SAA was lower than this figure in subgroups including LRRK2 Parkinson's disease (67·5% [59·2-75·8]) and participants with sporadic Parkinson's disease without olfactory deficit (78·3% [69·8-86·7]). Participants with LRRK2 variant and normal olfaction had an even lower α-synuclein SAA positivity rate (34·7% [21·4-48·0]). Among prodromal and at-risk groups, 44 (86%) of 51 of participants with RBD or hyposmia had positive α-synuclein SAA (16 of 18 with hyposmia, and 28 of 33 with RBD). 25 (8%) of 310 non-manifesting carriers (14 of 159 [9%] LRRK2 and 11 of 151 [7%] GBA) were positive. INTERPRETATION This study represents the largest analysis so far of the α-synuclein SAA for the biochemical diagnosis of Parkinson's disease. Our results show that the assay classifies people with Parkinson's disease with high sensitivity and specificity, provides information about molecular heterogeneity, and detects prodromal individuals before diagnosis. These findings suggest a crucial role for the α-synuclein SAA in therapeutic development, both to identify pathologically defined subgroups of people with Parkinson's disease and to establish biomarker-defined at-risk cohorts. FUNDING PPMI is funded by the Michael J Fox Foundation for Parkinson's Research and funding partners, including: Abbvie, AcureX, Aligning Science Across Parkinson's, Amathus Therapeutics, Avid Radiopharmaceuticals, Bial Biotech, Biohaven, Biogen, BioLegend, Bristol-Myers Squibb, Calico Labs, Celgene, Cerevel, Coave, DaCapo Brainscience, 4D Pharma, Denali, Edmond J Safra Foundation, Eli Lilly, GE Healthcare, Genentech, GlaxoSmithKline, Golub Capital, Insitro, Janssen Neuroscience, Lundbeck, Merck, Meso Scale Discovery, Neurocrine Biosciences, Prevail Therapeutics, Roche, Sanofi Genzyme, Servier, Takeda, Teva, UCB, VanquaBio, Verily, Voyager Therapeutics, and Yumanity.
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Affiliation(s)
- Andrew Siderowf
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
| | | | - David-Erick Lafontant
- Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, USA
| | - Carly M Farris
- Research and Development Unit, Amprion, San Diego, CA, USA
| | - Yihua Ma
- Research and Development Unit, Amprion, San Diego, CA, USA
| | - Paula A Urenia
- Research and Development Unit, Amprion, San Diego, CA, USA
| | - Hieu Nguyen
- Research and Development Unit, Amprion, San Diego, CA, USA
| | - Roy N Alcalay
- Department of Neurology, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel; Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA
| | - Lana M Chahine
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Tatiana Foroud
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Douglas Galasko
- Department of Neurology, University of California, San Diego, CA, USA
| | - Karl Kieburtz
- University of Rochester Medical Center, University of Rochester, Rochester, NY, USA
| | - Kalpana Merchant
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Brit Mollenhauer
- Department of Neurology, University Medical Center Göttingen, Göttingen, Germany; Paracelsus-Elena Klinik, Kassel, and German Center for Neurodegenerative Diseases, Göttingen, Germany
| | - Kathleen L Poston
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - John Seibyl
- Institute for Neurodegenerative Disorders, New Haven, CT, USA
| | - Tanya Simuni
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Caroline M Tanner
- Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA; Parkinson's Disease Research, Education and Clinical Center, San Francisco Veterans Affairs Medical Center, San Francisco, CA, USA
| | - Daniel Weintraub
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Parkinson's Disease Research, Education and Clinical Center, Philadelphia Veterans Affairs Medical Center, Philadelphia, PA, USA
| | - Aleksandar Videnovic
- Department of Neurology, Neurological Clinical Research Institute, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Seung Ho Choi
- Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, USA
| | - Ryan Kurth
- Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, USA
| | - Chelsea Caspell-Garcia
- Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, USA
| | - Christopher S Coffey
- Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, USA
| | - Mark Frasier
- The Michael J Fox Foundation for Parkinson's Research, New York, NY, USA
| | - Luis M A Oliveira
- The Michael J Fox Foundation for Parkinson's Research, New York, NY, USA
| | - Samantha J Hutten
- The Michael J Fox Foundation for Parkinson's Research, New York, NY, USA
| | - Todd Sherer
- The Michael J Fox Foundation for Parkinson's Research, New York, NY, USA
| | - Kenneth Marek
- Institute for Neurodegenerative Disorders, New Haven, CT, USA
| | - Claudio Soto
- Research and Development Unit, Amprion, San Diego, CA, USA; Department of Neurology, University of Texas McGovern Medical School at Houston, TX, USA
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31
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Berg D, Klein C. α-synuclein seed amplification and its uses in Parkinson's disease. Lancet Neurol 2023; 22:369-371. [PMID: 37059498 DOI: 10.1016/s1474-4422(23)00124-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Accepted: 03/24/2023] [Indexed: 04/16/2023]
Affiliation(s)
- Daniela Berg
- Department of Neurology, 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), Lübeck, Germany
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32
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Chahine LM, Merchant K, Siderowf A, Sherer T, Tanner C, Marek K, Simuni T. Proposal for a Biologic Staging System of Parkinson's Disease. J Parkinsons Dis 2023; 13:297-309. [PMID: 37066922 DOI: 10.3233/jpd-225111] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/18/2023]
Abstract
The Parkinson's disease (PD) research field has seen the advent of several promising biomarkers and a deeper understanding of the clinical features of the disease from the earliest stages of pathology to manifest disease. Despite progress, a biologically based PD staging system does not exist. Such staging would be a useful framework within which to model the disease, develop and validate biomarkers, guide therapeutic development, and inform clinical trials design. We propose that the presence of aggregated neuronal α-synuclein, dopaminergic neuron dysfunction/degeneration, and clinical signs and symptoms identifies a group of individuals that have Lewy body pathology, which in early stages manifests with what is now referred to as prodromal non-motor features and later stages with the manifestations of PD and related Lewy body diseases as defined by clinical diagnostic criteria. Based on the state of the field, we herein propose a definition and staging of PD based on biology. We present the biologic basis for such a staging system and review key assumptions and evidence that support the proposed approach. We identify gaps in knowledge and delineate crucial research priorities that will inform the ultimate integrated biologic staging system for PD.
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Affiliation(s)
- Lana M Chahine
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Kalpana Merchant
- Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Andrew Siderowf
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Todd Sherer
- The Michael J Fox Foundation for Parkinson's Research, New York, NY, USA
| | - Caroline Tanner
- Department of Neurology, Weill Institute for Neurosciences, University of San Francisco, San Francisco, CA, USA
| | | | - Tanya Simuni
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
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33
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Bellomo G, Paciotti S, Concha-Marambio L, Rizzo D, Wojdaƚa AL, Chiasserini D, Gatticchi L, Cerofolini L, Giuntini S, De Luca CMG, Ma Y, Farris CM, Pieraccini G, Bologna S, Filidei M, Ravera E, Lelli M, Moda F, Fragai M, Parnetti L, Luchinat C. Cerebrospinal fluid lipoproteins inhibit α-synuclein aggregation by interacting with oligomeric species in seed amplification assays. Mol Neurodegener 2023; 18:20. [PMID: 37005644 PMCID: PMC10068178 DOI: 10.1186/s13024-023-00613-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Accepted: 03/12/2023] [Indexed: 04/04/2023] Open
Abstract
BACKGROUND Aggregation of α-synuclein (α-syn) is a prominent feature of Parkinson's disease (PD) and other synucleinopathies. Currently, α-syn seed amplification assays (SAAs) using cerebrospinal fluid (CSF) represent the most promising diagnostic tools for synucleinopathies. However, CSF itself contains several compounds that can modulate the aggregation of α-syn in a patient-dependent manner, potentially undermining unoptimized α-syn SAAs and preventing seed quantification. METHODS In this study, we characterized the inhibitory effect of CSF milieu on detection of α-syn aggregates by means of CSF fractionation, mass spectrometry, immunoassays, transmission electron microscopy, solution nuclear magnetic resonance spectroscopy, a highly accurate and standardized diagnostic SAA, and different in vitro aggregation conditions to evaluate spontaneous aggregation of α-syn. RESULTS We found the high-molecular weight fraction of CSF (> 100,000 Da) to be highly inhibitory on α-syn aggregation and identified lipoproteins to be the main drivers of this effect. Direct interaction between lipoproteins and monomeric α-syn was not detected by solution nuclear magnetic resonance spectroscopy, on the other hand we observed lipoprotein-α-syn complexes by transmission electron microscopy. These observations are compatible with hypothesizing an interaction between lipoproteins and oligomeric/proto-fibrillary α-syn intermediates. We observed significantly slower amplification of α-syn seeds in PD CSF when lipoproteins were added to the reaction mix of diagnostic SAA. Additionally, we observed a decreased inhibition capacity of CSF on α-syn aggregation after immunodepleting ApoA1 and ApoE. Finally, we observed that CSF ApoA1 and ApoE levels significantly correlated with SAA kinetic parameters in n = 31 SAA-negative control CSF samples spiked with preformed α-syn aggregates. CONCLUSIONS Our results describe a novel interaction between lipoproteins and α-syn aggregates that inhibits the formation of α-syn fibrils and could have relevant implications. Indeed, the donor-specific inhibition of CSF on α-syn aggregation explains the lack of quantitative results from analysis of SAA-derived kinetic parameters to date. Furthermore, our data show that lipoproteins are the main inhibitory components of CSF, suggesting that lipoprotein concentration measurements could be incorporated into data analysis models to eliminate the confounding effects of CSF milieu on α-syn quantification efforts.
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Affiliation(s)
- Giovanni Bellomo
- Laboratory of Clinical Neurochemistry, Section of Neurology, Department of Medicine and Surgery, University of Perugia, Piazzale Lucio Severi 1/8, 06132, Perugia, Italy.
| | - Silvia Paciotti
- Laboratory of Clinical Neurochemistry, Section of Neurology, Department of Medicine and Surgery, University of Perugia, Piazzale Lucio Severi 1/8, 06132, Perugia, Italy
| | - Luis Concha-Marambio
- R&D Unit, Amprion Inc, 11095 Flintkote Av., San Diego, San Diego, CA, 92121, USA
| | - Domenico Rizzo
- Magnetic Resonance Center (CERM), University of Florence, Via Luigi Sacconi 6, 50019, Sesto Fiorentino, Italy
- Department of Chemistry "Ugo Schiff", University of Florence, Via Della Lastruccia 3, 50019, Sesto Fiorentino, Italy
| | - Anna Lidia Wojdaƚa
- Laboratory of Clinical Neurochemistry, Section of Neurology, Department of Medicine and Surgery, University of Perugia, Piazzale Lucio Severi 1/8, 06132, Perugia, Italy
| | - Davide Chiasserini
- Section of Physiology and Biochemistry, Department of Medicine and Surgery, University of Perugia, Piazzale Lucio Severi 1/8, 06132, PerugiaPerugia, Italy
| | - Leonardo Gatticchi
- Section of Physiology and Biochemistry, Department of Medicine and Surgery, University of Perugia, Piazzale Lucio Severi 1/8, 06132, PerugiaPerugia, Italy
| | - Linda Cerofolini
- Magnetic Resonance Center (CERM), University of Florence, Via Luigi Sacconi 6, 50019, Sesto Fiorentino, Italy
- Consorzio Interuniversitario Risonanze Magnetiche Metallo Proteine (CIRMMP), Via Luigi Sacconi 6, 50019, Sesto Fiorentino, Italy
| | - Stefano Giuntini
- Magnetic Resonance Center (CERM), University of Florence, Via Luigi Sacconi 6, 50019, Sesto Fiorentino, Italy
| | - Chiara Maria Giulia De Luca
- Division of Neurology 5 and Neuropathology, Fondazione IRCCS Istituto Neurologico Carlo Besta, Via Celoria 11, 20133, Milan, Italy
| | - Yihua Ma
- R&D Unit, Amprion Inc, 11095 Flintkote Av., San Diego, San Diego, CA, 92121, USA
| | - Carly M Farris
- R&D Unit, Amprion Inc, 11095 Flintkote Av., San Diego, San Diego, CA, 92121, USA
| | - Giuseppe Pieraccini
- Department of Health Sciences, CISM Mass Spectrometry Centre, University of Florence, Viale Gaetano Pieraccini 6, 50139, Florence, Italy
| | - Sara Bologna
- Magnetic Resonance Center (CERM), University of Florence, Via Luigi Sacconi 6, 50019, Sesto Fiorentino, Italy
| | - Marta Filidei
- Laboratory of Clinical Neurochemistry, Section of Neurology, Department of Medicine and Surgery, University of Perugia, Piazzale Lucio Severi 1/8, 06132, Perugia, Italy
| | - Enrico Ravera
- Magnetic Resonance Center (CERM), University of Florence, Via Luigi Sacconi 6, 50019, Sesto Fiorentino, Italy
- Department of Chemistry "Ugo Schiff", University of Florence, Via Della Lastruccia 3, 50019, Sesto Fiorentino, Italy
- Consorzio Interuniversitario Risonanze Magnetiche Metallo Proteine (CIRMMP), Via Luigi Sacconi 6, 50019, Sesto Fiorentino, Italy
| | - Moreno Lelli
- Magnetic Resonance Center (CERM), University of Florence, Via Luigi Sacconi 6, 50019, Sesto Fiorentino, Italy
- Department of Chemistry "Ugo Schiff", University of Florence, Via Della Lastruccia 3, 50019, Sesto Fiorentino, Italy
- Consorzio Interuniversitario Risonanze Magnetiche Metallo Proteine (CIRMMP), Via Luigi Sacconi 6, 50019, Sesto Fiorentino, Italy
| | - Fabio Moda
- Division of Neurology 5 and Neuropathology, Fondazione IRCCS Istituto Neurologico Carlo Besta, Via Celoria 11, 20133, Milan, Italy
| | - Marco Fragai
- Magnetic Resonance Center (CERM), University of Florence, Via Luigi Sacconi 6, 50019, Sesto Fiorentino, Italy
- Department of Chemistry "Ugo Schiff", University of Florence, Via Della Lastruccia 3, 50019, Sesto Fiorentino, Italy
- Consorzio Interuniversitario Risonanze Magnetiche Metallo Proteine (CIRMMP), Via Luigi Sacconi 6, 50019, Sesto Fiorentino, Italy
| | - Lucilla Parnetti
- Laboratory of Clinical Neurochemistry, Section of Neurology, Department of Medicine and Surgery, University of Perugia, Piazzale Lucio Severi 1/8, 06132, Perugia, Italy
| | - Claudio Luchinat
- Magnetic Resonance Center (CERM), University of Florence, Via Luigi Sacconi 6, 50019, Sesto Fiorentino, Italy.
- Department of Chemistry "Ugo Schiff", University of Florence, Via Della Lastruccia 3, 50019, Sesto Fiorentino, Italy.
- Consorzio Interuniversitario Risonanze Magnetiche Metallo Proteine (CIRMMP), Via Luigi Sacconi 6, 50019, Sesto Fiorentino, Italy.
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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.
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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
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Wei H, Masurkar AV, Razavian N. On gaps of clinical diagnosis of dementia subtypes: A study of Alzheimer's disease and Lewy body disease. Front Aging Neurosci 2023; 15:1149036. [PMID: 37025965 PMCID: PMC10070837 DOI: 10.3389/fnagi.2023.1149036] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Accepted: 03/06/2023] [Indexed: 04/08/2023] Open
Abstract
Introduction Alzheimer's disease (AD) and Lewy body disease (LBD) are the two most common neurodegenerative dementias and can occur in combination (AD+LBD). Due to overlapping biomarkers and symptoms, clinical differentiation of these subtypes could be difficult. However, it is unclear how the magnitude of diagnostic uncertainty varies across dementia spectra and demographic variables. We aimed to compare clinical diagnosis and post-mortem autopsy-confirmed pathological results to assess the clinical subtype diagnosis quality across these factors. Methods We studied data of 1,920 participants recorded by the National Alzheimer's Coordinating Center from 2005 to 2019. Selection criteria included autopsy-based neuropathological assessments for AD and LBD, and the initial visit with Clinical Dementia Rating (CDR) stage of normal, mild cognitive impairment, or mild dementia. Longitudinally, we analyzed the first visit at each subsequent CDR stage. This analysis included positive predictive values, specificity, sensitivity and false negative rates of clinical diagnosis, as well as disparities by sex, race, age, and education. If autopsy-confirmed AD and/or LBD was missed in the clinic, the alternative clinical diagnosis was analyzed. Findings In our findings, clinical diagnosis of AD+LBD had poor sensitivities. Over 61% of participants with autopsy-confirmed AD+LBD were diagnosed clinically as AD. Clinical diagnosis of AD had a low sensitivity at the early dementia stage and low specificities at all stages. Among participants diagnosed as AD in the clinic, over 32% had concurrent LBD neuropathology at autopsy. Among participants diagnosed as LBD, 32% to 54% revealed concurrent autopsy-confirmed AD pathology. When three subtypes were missed by clinicians, "No cognitive impairment" and "primary progressive aphasia or behavioral variant frontotemporal dementia" were the leading primary etiologic clinical diagnoses. With increasing dementia stages, the clinical diagnosis accuracy of black participants became significantly worse than other races, and diagnosis quality significantly improved for males but not females. Discussion These findings demonstrate that clinical diagnosis of AD, LBD, and AD+LBD are inaccurate and suffer from significant disparities on race and sex. They provide important implications for clinical management, anticipatory guidance, trial enrollment and applicability of potential therapies for AD, and promote research into better biomarker-based assessment of LBD pathology.
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Affiliation(s)
- Hui Wei
- Manning College of Information and Computer Sciences, University of Massachusetts Amherst, Amherst, MA, United States
- Department of Population Health, NYU Grossman School of Medicine, New York, NY, United States
| | - Arjun V. Masurkar
- Center for Cognitive Neurology, Department of Neurology, NYU Grossman School of Medicine, New York, NY, United States
- Neuroscience Institute, NYU Grossman School of Medicine, New York, NY, United States
| | - Narges Razavian
- Department of Population Health, NYU Grossman School of Medicine, New York, NY, United States
- Department of Radiology, NYU Grossman School of Medicine, New York, NY, United States
- Center for Data Science, New York University, New York, NY, United States
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Abdelnour C, Poston KL. Cognitive Impairment in Neurodegenerative Movement Disorders. Semin Neurol 2023; 43:81-94. [PMID: 36940727 DOI: 10.1055/s-0043-1764204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/22/2023]
Abstract
Patients with neurodegenerative movement disorders can develop cognitive impairment during the disease. Cognitive symptoms have been associated with decreased quality of life, higher caregiver burden, and earlier institutionalization, and are therefore critical for physicians to understand and address. The evaluation of cognitive performance of patients with neurodegenerative movement disorders is important for providing adequate diagnosis, management, prognosis, and support patients and their caregivers. In this review, we discuss the features of the cognitive impairment profile of commonly encountered movement disorders: Parkinson's disease, dementia with Lewy bodies, multiple system atrophy, progressive supranuclear palsy, corticobasal syndrome, and Huntington's disease. In addition, we provide neurologists with practical guidance and evaluation tools for the assessment and management of these challenging patients.
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Affiliation(s)
- Carla Abdelnour
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, California
| | - Kathleen L Poston
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, California
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, California
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Boncuk Ulaş S, Güzey Aras Y, Irmak Gözükara S, Acar T, Acar BA. Correlates of Zonulin and Claudin-5, markers of intestinal and brain endothelial permeability, in Parkinson's Disease: A pilot study. Parkinsonism Relat Disord 2023; 110:105361. [PMID: 36963340 DOI: 10.1016/j.parkreldis.2023.105361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 02/28/2023] [Accepted: 03/05/2023] [Indexed: 03/19/2023]
Abstract
INTRODUCTION Idiopathic Parkinson's Disease is a chronic, progressive, neurodegenerative disease that affects the substantia nigra pars compacta and dopaminergic neurons in the brain stem. Since zonulin and claudin-5 are involved in intestinal and brain endothelial permeability and it is hypothesized that the brain-gut axis is relevant in IPD, the aim of our study is to evaluate whether the relationship between Zonulin and Claudin-5 levels and Parkinson's Disease patients. METHODS A total of 139 patients, including 34 mild, 33 moderate, 39 severe stage patients and 33 healthy controls were included. The patients' demographic data, age of onset, disease duration, disease type and drugs were noted. UPDRS and H&Y scores were evaluated. Prodromal stage symptoms and non-motor symptoms were noted. Zonulin and Claudin-5 levels in the serum were studied. RESULTS The mean Zonulin value was significantly higher in the IPD group compared to the control one (16.0 ± 10.5 vs. 11.1 ± 4.3; p = 0.0012). Likewise, the mean Claudin-5 value in the IPD group was again significantly higher than in the control group (8.4 ± 5.5 vs. 6.2 ± 3.4; p = 0.0003). The combined ROC curve, though, showed only modest albeit significant discriminant ability. Moreover, neither zonulin nor claudin-5 related to age, phenotype or disease duration, and in terms of non-motor symptoms there was only a significant association between zonulin and urine problems and between claudin-5 and sleep symptoms. CONCLUSION Our results suggest an association of these markers of intestinal and brain endothelial permeability and IPD, although these remain modest and preliminary and warrant further consideration in larger studies including prodromal cases.
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Affiliation(s)
| | - Yeşim Güzey Aras
- Department of Neurology, Sakarya University Faculty of Medicine, Sakarya, Turkey.
| | - Sezen Irmak Gözükara
- Department of Biochemistry, Sakarya University Training and Research Hospital, Sakarya, Turkey.
| | - Türkan Acar
- Department of Neurology, Sakarya University Faculty of Medicine, Sakarya, Turkey.
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Guo Y, Shen XN, Huang SY, Chen SF, Wang HF, Zhang W, Zhang YR, Cheng W, Cui M, Dong Q, Yu JT. Head-to-head comparison of 6 plasma biomarkers in early multiple system atrophy. NPJ Parkinsons Dis 2023; 9:40. [PMID: 36922526 PMCID: PMC10017699 DOI: 10.1038/s41531-023-00481-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Accepted: 02/27/2023] [Indexed: 03/18/2023] Open
Abstract
There is a dire need for reliable biomarkers to solidify an early and accurate diagnosis of multiple system atrophy (MSA). We sought to compare the ability of emerging plasma markers in distinguishing MSA from its mimics and healthy controls in early disease stages, and to evaluate their performance in detecting disease severity and brain atrophy. Plasma neurofilament light (NfL), glial fibrillary acidic protein (GFAP), phosphorylated tau181, amyloid-β (Aβ)42, and Aβ40 were measured using ultrasensitive Simoa in early-stage patients with MSA (n = 73), spinocerebellar ataxia (SCA, n = 29), Parkinson's disease (PD, n = 28), and healthy controls (n = 100). We observed that elevated NfL outperformed other biomarkers in distinguishing MSA and its subtypes (AUC = 0.9) versus controls. Intriguingly, when separating MSA from its mimics, increased GFAP (AUC = 0.717) in MSA-C and decreased Aβ40 (AUC = 0.807) in MSA-P best discriminated from SCA and PD respectively. Plasma levels were comparable between MSA-C and MSA-P and the differentiation by plasma index alone was poor. Combining plasma markers noticeably improved the discriminatory efficacy. Of note, among MSA patients, higher GFAP and NfL were correlated with the atrophy of brain regions vulnerable to MSA (e.g., cerebellum, pons, or putamen). They could also aggravate the severity of MSA, and this association was partially mediated by cerebral volumes. In contrast, no obvious associations of phosphorylated tau and Aβ with disease severity were observed. Collectively, plasma biomarkers, especially in combination, are useful to facilitate the discriminatory work-up of MSA at early stages. Moreover, NfL and GFAP may be promising biomarkers to monitor the disease severity of MSA.
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Affiliation(s)
- Yu Guo
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China
| | - Xue-Ning Shen
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China
| | - Shu-Yi Huang
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China
| | - Shu-Fen Chen
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China
| | - Hui-Fu Wang
- The Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, China
| | - Wei Zhang
- The Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, China
| | - Ya-Ru Zhang
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China
| | - Wei Cheng
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China.,The Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, China.,Fudan ISTBI-ZJNU Algorithm Centre for Brain-inspired Intelligence, Zhejiang Normal University, Zhejiang, China
| | - Mei Cui
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China
| | - Qiang Dong
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China
| | - Jin-Tai Yu
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China.
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Abstract
Amyloid fibrils of the protein α-synuclein (αS) have recently been identified as a biomarker for Parkinson's disease (PD). To detect the presence of these amyloid fibrils, seed amplification assays (SAAs) have been developed. SAAs allow for the detection of αS amyloid fibrils in biomatrices such as cerebral spinal fluid and are promising for PD diagnosis by providing a dichotomous (yes/no) response. The additional quantification of the number of αS amyloid fibrils may enable clinicians to evaluate and follow the disease progression and severity. Developing quantitative SAAs has been shown to be challenging. Here, we report on a proof-of-principle study on the quantification of αS fibrils in fibril-spiked model solutions of increasing compositional complexity including blood serum. We show that parameters derived from standard SAAs can be used for fibril quantification in these solutions. However, interactions between the monomeric αS reactant that is used for amplification and biomatrix components such as human serum albumin have to be taken into account. We demonstrate that quantification of fibrils is possible even down to the single fibril level in a model sample consisting of fibril-spiked diluted blood serum.
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Affiliation(s)
- Jonathan Vaneyck
- Nanobiophysics (NBP), Faculty of Science and Technology, MESA + Institute for Nanotechnology and Technical Medical Centre, University of Twente, PO Box 217, 7500 AE Enschede, Overijssel, The Netherlands
| | - Therese A Yousif
- Nanobiophysics (NBP), Faculty of Science and Technology, MESA + Institute for Nanotechnology and Technical Medical Centre, University of Twente, PO Box 217, 7500 AE Enschede, Overijssel, The Netherlands
| | - Ine Segers-Nolten
- Nanobiophysics (NBP), Faculty of Science and Technology, MESA + Institute for Nanotechnology and Technical Medical Centre, University of Twente, PO Box 217, 7500 AE Enschede, Overijssel, The Netherlands
| | - Christian Blum
- Nanobiophysics (NBP), Faculty of Science and Technology, MESA + Institute for Nanotechnology and Technical Medical Centre, University of Twente, PO Box 217, 7500 AE Enschede, Overijssel, The Netherlands
| | - Mireille M A E Claessens
- Nanobiophysics (NBP), Faculty of Science and Technology, MESA + Institute for Nanotechnology and Technical Medical Centre, University of Twente, PO Box 217, 7500 AE Enschede, Overijssel, The Netherlands
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LeWitt PA, Li J, Wu KH, Lu M. Diagnostic metabolomic profiling of Parkinson's disease biospecimens. Neurobiol Dis 2023; 177:105962. [PMID: 36563791 DOI: 10.1016/j.nbd.2022.105962] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2022] [Revised: 12/02/2022] [Accepted: 12/07/2022] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Reliable and sensitive biomarkers are needed for enhancing and predicting Parkinson's disease (PD) diagnosis. OBJECTIVE To investigate comprehensive metabolomic profiling of biochemicals in CSF and serum for determining diagnostic biomarkers of PD. METHODS Fifty subjects, symptomatic with PD for ≥5 years, were matched to 50 healthy controls (HCs). We used ultrahigh-performance liquid chromatography linked to tandem mass spectrometry (UHPLC-MS/MS) for measuring relative concentrations of ≤1.5 kDalton biochemicals. A reference library created from authentic standards facilitated chemical identifications. Analytes underwent univariate analysis for PD association, with false discovery rate-adjusted p-value (≤0.05) determinations. Multivariate analysis (for identifying a panel of biochemicals discriminating PD from HCs) used several biostatistical methods, including logistic LASSO regression. RESULTS Comparing PD and HCs, strong differentiation was achieved from CSF but not serum specimens. With univariate analysis, 21 CSF compounds exhibited significant differential concentrations. Logistic LASSO regression led to selection of 23 biochemicals (11 shared with those determined by the univariate analysis). The selected compounds, as a group, distinguished PD from HCs, with Area-Under-the-Receiver-Operating-Characteristic (ROC) curve of 0.897. With optimal cutoff, logistic LASSO achieved 100% sensitivity and 96% specificity (and positive and negative predictive values of 96% and 100%). Ten-fold cross-validation gave 84% sensitivity and 82% specificity (and 82% positive and 84% negative predictive values). From the logistic LASSO-chosen regression model, 2 polyamine metabolites (N-acetylcadaverine and N-acetylputrescine) were chosen and had the highest fold-changes in comparing PD to HCs. Another chosen biochemical, acisoga (N-(3-acetamidopropyl)pyrrolidine-2-one), also is a polyamine metabolism derivative. CONCLUSIONS UHPLC-MS/MS assays provided a metabolomic signature highly predictive of PD. These findings provide further evidence for involvement of polyamine pathways in the neurodegeneration of PD.
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Affiliation(s)
- Peter A LeWitt
- Departments of Neurology, Henry Ford Hospital, West Bloomfield, MI, USA; Wayne State University School of Medicine, West Bloomfield, MI, USA.
| | - Jia Li
- The Department of Public Health Science, Henry Ford Health System, Detroit, MI, USA
| | - Kuan-Han Wu
- The Department of Public Health Science, Henry Ford Health System, Detroit, MI, USA
| | - Mei Lu
- The Department of Public Health Science, Henry Ford Health System, Detroit, MI, USA
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Peelaerts W, Baekelandt V. ⍺-Synuclein Structural Diversity and the Cellular Environment in ⍺-Synuclein Transmission Models and Humans. Neurotherapeutics 2023; 20:67-82. [PMID: 37052776 PMCID: PMC10119367 DOI: 10.1007/s13311-023-01365-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [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] [Accepted: 03/04/2023] [Indexed: 04/14/2023] Open
Abstract
Parkinson's disease (PD), dementia with Lewy bodies (DLB), and multiple system atrophy (MSA) are termed synucleinopathies, disorders that are characterized by the intracellular aggregation of the protein ɑ-synuclein. The cellular tropism of synuclein pathology in these syndromes is notably distinct since in the Lewy disorders, PD and DLB, ɑSyn forms aggregates in neurons whereas in MSA ɑSyn forms aggregates in oligodendrocytes. Studies examining ɑSyn pathology in experimental models and in human brain have now identified fibrillar ɑSyn with unique but distinct molecular signatures, suggesting that the structure of these ɑSyn fibrils might be closely tied to their cellular ontogeny. In contrast to the native structural heterogeneity of ɑSyn in vitro, the conformational landscape of fibrillar ɑSyn in human brain and in vivo transmission models appears to be remarkably uniform. Here, we review the studies by which we propose a hypothesis that the cellular host environment might be in part responsible for how ɑSyn filaments assemble into phenotype-specific strains. We postulate that the maturation of ɑSyn strains develops as a function of their in vivo transmission routes and cell-specific risk factors. The impact of the cellular environment on the structural diversity of ɑSyn might have important implications for the design of preclinical studies and their use for the development of ɑSyn-based biomarkers and therapeutic strategies. By combining phenotype-specific fibrils and relevant synucleinopathy transmission models, preclinical models might more closely reflect unique disease phenotypes.
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Affiliation(s)
- Wouter Peelaerts
- Laboratory for Neurobiology and Gene Therapy, Department of Neurosciences, Leuven Brain Institute, KU Leuven, Leuven, Belgium
- Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium
| | - Veerle Baekelandt
- Laboratory for Neurobiology and Gene Therapy, Department of Neurosciences, Leuven Brain Institute, KU Leuven, Leuven, Belgium.
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Surguchov A, Surguchev A. Synucleins: New Data on Misfolding, Aggregation and Role in Diseases. Biomedicines 2022; 10. [PMID: 36551997 DOI: 10.3390/biomedicines10123241] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 12/05/2022] [Accepted: 12/07/2022] [Indexed: 12/15/2022] Open
Abstract
The synucleins are a family of natively unfolded (or intrinsically unstructured) proteins consisting of α-, β-, and γ-synuclein involved in neurodegenerative diseases and cancer. The current number of publications on synucleins has exceeded 16.000. They remain the subject of constant interest for over 35 years. Two reasons explain this unchanging attention: synuclein's association with several severe human diseases and the lack of understanding of the functional roles under normal physiological conditions. We analyzed recent publications to look at the main trends and developments in synuclein research and discuss possible future directions. Traditional areas of peak research interest which still remain high among last year's publications are comparative studies of structural features as well as functional research on of three members of the synuclein family. Another popular research topic in the area is a mechanism of α-synuclein accumulation, aggregation, and fibrillation. Exciting fast-growing area of recent research is α-synuclein and epigenetics. We do not present here a broad and comprehensive review of all directions of studies but summarize only the most significant recent findings relevant to these topics and outline potential future directions.
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Golden EP, McCreary M, Vernino S. Responsiveness of UMSARS and other clinical measures in a longitudinal structured care clinic for multiple system atrophy. Clin Auton Res 2022; 32:477-84. [PMID: 36181586 DOI: 10.1007/s10286-022-00898-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2022] [Accepted: 09/19/2022] [Indexed: 01/31/2023]
Abstract
PURPOSE As understanding of multiple system atrophy (MSA) pathophysiology improves, clinical trials of disease-modifying therapies are starting. Outcome measures responsive to disease progression will be critical, but the United MSA Rating Scale (UMSARS) has limitations. The MSA multidisciplinary clinic at the University of Texas Southwestern is a longitudinal clinic with structured assessments performed at fixed time intervals. The objective of this study was to evaluate the performance of clinical measures in assessing MSA progression over time. METHODS Data from 73 subjects with clinically diagnosed MSA were analyzed using repeated measures correlation models. Observations were made every 4 months, with up to 3 years of data included for each patient. RESULTS UMSARS-I and UMSARS-II correlated positively with the MSA Quality of Life (QOL) scale. The rate of change was 3.12 points per year (ppy) for UMSARS-I and 5.55 ppy for UMSARS-II. Some individual UMSARS questions contributed more significantly than others to overall UMSARS rate of change. Based on this finding, and using repeated measures correlations between question combinations and QOL, an optimization of UMSARS parts I and II was curated. The amended UMSARS-I included 8 of the 12 subquestions, and the amended UMSARS-II included 10 of the 14 subquestions. CONCLUSIONS Data from a longitudinal MSA clinic allows better characterization of the performance of UMSARS as a clinical outcome measure. A curated set of UMSARS questions appears more responsive to change and accounts for correlation with QOL, and could be the starting point for an improved MSA outcome measure.
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Consonni A, Miglietti M, De Luca CMG, Cazzaniga FA, Ciullini A, Dellarole IL, Bufano G, Di Fonzo A, Giaccone G, Baggi F, Moda F. Approaching the Gut and Nasal Microbiota in Parkinson's Disease in the Era of the Seed Amplification Assays. Brain Sci 2022; 12:1579. [PMID: 36421902 PMCID: PMC9688507 DOI: 10.3390/brainsci12111579] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 11/10/2022] [Accepted: 11/17/2022] [Indexed: 10/30/2023] Open
Abstract
Parkinson's disease (PD) is a neurodegenerative disorder often associated with pre-motor symptoms involving both gastrointestinal and olfactory tissues. PD patients frequently suffer from hyposmia, hyposalivation, dysphagia and gastrointestinal dysfunctions. During the last few years it has been speculated that microbial agents could play a crucial role in PD. In particular, alterations of the microbiota composition (dysbiosis) might contribute to the formation of misfolded α-synuclein, which is believed to be the leading cause of PD. However, while several findings confirmed that there might be an important link between intestinal microbiota alterations and PD onset, little is known about the potential contribution of the nasal microbiota. Here, we describe the latest findings on this topic by considering that more than 80% of patients with PD develop remarkable olfactory deficits in their prodromal disease stage. Therefore, the nasal microbiota might contribute to PD, eventually boosting the gut microbiota in promoting disease onset. Finally, we present the applications of the seed amplification assays to the study of the gut and olfactory mucosa of PD patients, and how they could be exploited to investigate whether pathogenic bacteria present in the gut and the nose might promote α-synuclein misfolding and aggregation.
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Affiliation(s)
- Alessandra Consonni
- Division of Neurology 4-Neuroimmunology and Neuromuscular Diseases, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133 Milan, Italy
| | - Martina Miglietti
- Division of Neurology 4-Neuroimmunology and Neuromuscular Diseases, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133 Milan, Italy
| | - Chiara Maria Giulia De Luca
- Division of Neurology 5-Neuropathology, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133 Milan, Italy
| | - Federico Angelo Cazzaniga
- Division of Neurology 5-Neuropathology, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133 Milan, Italy
| | - Arianna Ciullini
- Division of Neurology 5-Neuropathology, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133 Milan, Italy
| | - Ilaria Linda Dellarole
- Division of Neurology 5-Neuropathology, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133 Milan, Italy
| | - Giuseppe Bufano
- Division of Neurology 5-Neuropathology, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133 Milan, Italy
| | - Alessio Di Fonzo
- Division of Neurology, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, 20122 Milan, Italy
| | - Giorgio Giaccone
- Division of Neurology 5-Neuropathology, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133 Milan, Italy
| | - Fulvio Baggi
- Division of Neurology 4-Neuroimmunology and Neuromuscular Diseases, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133 Milan, Italy
| | - Fabio Moda
- Division of Neurology 5-Neuropathology, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133 Milan, Italy
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