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Bartl M, Nilsson J, Dakna M, Weber S, Schade S, Xylaki M, Fernandes Gomes B, Ernst M, Muntean ML, Sixel-Döring F, Trenkwalder C, Zetterberg H, Brinkmalm A, Mollenhauer B. Lysosomal and synaptic dysfunction markers in longitudinal cerebrospinal fluid of de novo Parkinson's disease. NPJ Parkinsons Dis 2024; 10:102. [PMID: 38760408 PMCID: PMC11101466 DOI: 10.1038/s41531-024-00714-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Accepted: 04/19/2024] [Indexed: 05/19/2024] Open
Abstract
Lysosomal and synaptic dysfunctions are hallmarks in neurodegeneration and potentially relevant as biomarkers, but data on early Parkinson's disease (PD) is lacking. We performed targeted mass spectrometry with an established protein panel, assessing autophagy and synaptic function in cerebrospinal fluid (CSF) of drug-naïve de novo PD, and sex-/age-matched healthy controls (HC) cross-sectionally (88 PD, 46 HC) and longitudinally (104 PD, 58 HC) over 10 years. Multiple markers of autophagy, synaptic plasticity, and secretory pathways were reduced in PD. We added samples from prodromal subjects (9 cross-sectional, 12 longitudinal) with isolated REM sleep behavior disorder, revealing secretogranin-2 already decreased compared to controls. Machine learning identified neuronal pentraxin receptor and neurosecretory protein VGF as most relevant for discriminating between groups. CSF levels of LAMP2, neuronal pentraxins, and syntaxins in PD correlated with clinical progression, showing predictive potential for motor- and non-motor symptoms as a valid basis for future drug trials.
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Affiliation(s)
- Michael Bartl
- Department of Neurology, University Medical Center Goettingen, Goettingen, Germany.
- Institute for Neuroimmunology and Multiple Sclerosis Research, University Medical Center Goettingen, Goettingen, Germany.
| | - Johanna Nilsson
- Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Mohammed Dakna
- Department of Neurology, University Medical Center Goettingen, Goettingen, Germany
| | - Sandrina Weber
- Department of Neurology, University Medical Center Goettingen, Goettingen, Germany
| | | | - Mary Xylaki
- Department of Neurology, University Medical Center Goettingen, Goettingen, Germany
| | - Bárbara Fernandes Gomes
- Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Marielle Ernst
- Institute of Diagnostic and Interventional Neuroradiology, University Medical Center Goettingen, Goettingen, Germany
| | | | - Friederike Sixel-Döring
- Paracelsus-Elena-Klinik, Kassel, Germany
- Department of Neurology, Philipps-University, Marburg, Germany
| | - Claudia Trenkwalder
- Paracelsus-Elena-Klinik, Kassel, Germany
- Department of Neurosurgery, University Medical Center Goettingen, Goettingen, Germany
| | - Henrik Zetterberg
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- UK Dementia Research Institute at UCL, London, UK
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
| | - Ann Brinkmalm
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Brit Mollenhauer
- Department of Neurology, University Medical Center Goettingen, Goettingen, Germany
- Paracelsus-Elena-Klinik, Kassel, Germany
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2
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Liu M, Zhu Y, Yuan Y, Wang Y, Liu X, Li L, Gao Y, Yan H, Liu R, Cheng L, Yuan J, Wang Q, Li S, Liu Y, Wang Y, Shi C, Xu Y, Yang J. Plasma neurofilament light as a promising biomarker in neuronal intranuclear inclusion disease. J Neurol 2024; 271:2042-2052. [PMID: 38189920 DOI: 10.1007/s00415-023-12160-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2023] [Revised: 12/12/2023] [Accepted: 12/13/2023] [Indexed: 01/09/2024]
Abstract
Neuronal intranuclear inclusion disease (NIID) is a rare neurodegenerative disorder lacking reliable biomarkers. This study investigates plasma protein levels as potential biomarkers of disease severity and progression in NIID. In this study, we enrolled 30 NIID patients and 36 age- and sex-matched controls, following them for 1-2 years. Plasma neurofilament light (NfL), glial fibrillary acidic protein (GFAP), ubiquitin carboxy-terminal hydrolase L1 (UCH-L1), and tau were measured using ultrasensitive single molecule array (Simoa) assays. Disease severity was evaluated with the Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), Activities of Daily Living (ADL), and CNS symptom counts, in addition to neuroimaging data. Our study revealed that NIID patients has significantly higher plasma NfL (median, 35.2 vs. 8.61 pg/mL, p < 0.001) and GFAP (102 vs. 79.0 pg/mL, p = 0.010) levels compared to controls, with NfL emerging as a robust diagnostic marker (AUC = 0.956). NfL levels were notably higher in acute-onset NIID (77.5 vs. 28.8 pg/mL, p = 0.001). NfL correlated strongly with disease severity, including MMSE (ρ = - 0.687, p < 0.001), MoCA (ρ = - 0.670, p < 0.001), ADL (ρ = 0.587, p = 0.001), CNS symptoms (ρ = 0.369, p = 0.045), and white matter hyperintensity volume (ρ = 0.620, p = 0.004). Higher baseline NfL (≥ 35.2 pg/mL) associated with increased ADL scores, CNS symptoms, and white matter hyperintensity at follow-up. UCH-L1 and total tau levels showed no significant differences. Our results suggested the potential of NfL as a promising biomarker of disease severity and progression in NIID.
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Affiliation(s)
- Minglei Liu
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, No. 1 Eastern Jianshe Road, Zhengzhou, 450052, Henan, China
| | - Yuru Zhu
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, No. 1 Eastern Jianshe Road, Zhengzhou, 450052, Henan, China
| | - Yanpeng Yuan
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, No. 1 Eastern Jianshe Road, Zhengzhou, 450052, Henan, China
- NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Disease, Zhengzhou, Henan, China
- Henan Key Laboratory of Cerebrovascular Diseases, Zhengzhou University, Zhengzhou, Henan, China
- Institute of Neuroscience, Zhengzhou University, Zhengzhou, Henan, China
| | - Yangyang Wang
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, No. 1 Eastern Jianshe Road, Zhengzhou, 450052, Henan, China
- NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Disease, Zhengzhou, Henan, China
- Institute of Neuroscience, Zhengzhou University, Zhengzhou, Henan, China
| | - Xiaojing Liu
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, No. 1 Eastern Jianshe Road, Zhengzhou, 450052, Henan, China
- NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Disease, Zhengzhou, Henan, China
- Institute of Neuroscience, Zhengzhou University, Zhengzhou, Henan, China
| | - Lanjun Li
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, No. 1 Eastern Jianshe Road, Zhengzhou, 450052, Henan, China
- NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Disease, Zhengzhou, Henan, China
- Institute of Neuroscience, Zhengzhou University, Zhengzhou, Henan, China
| | - Yuan Gao
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, No. 1 Eastern Jianshe Road, Zhengzhou, 450052, Henan, China
- NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Disease, Zhengzhou, Henan, China
- Henan Key Laboratory of Cerebrovascular Diseases, Zhengzhou University, Zhengzhou, Henan, China
- Institute of Neuroscience, Zhengzhou University, Zhengzhou, Henan, China
| | - Huimin Yan
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, No. 1 Eastern Jianshe Road, Zhengzhou, 450052, Henan, China
| | - Ruoyu Liu
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, No. 1 Eastern Jianshe Road, Zhengzhou, 450052, Henan, China
| | - Lin Cheng
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, No. 1 Eastern Jianshe Road, Zhengzhou, 450052, Henan, China
| | - Jing Yuan
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, No. 1 Eastern Jianshe Road, Zhengzhou, 450052, Henan, China
- NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Disease, Zhengzhou, Henan, China
- Henan Key Laboratory of Cerebrovascular Diseases, Zhengzhou University, Zhengzhou, Henan, China
- Institute of Neuroscience, Zhengzhou University, Zhengzhou, Henan, China
| | - Qingzhi Wang
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, No. 1 Eastern Jianshe Road, Zhengzhou, 450052, Henan, China
| | - Shuo Li
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, No. 1 Eastern Jianshe Road, Zhengzhou, 450052, Henan, China
| | - Yutao Liu
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, No. 1 Eastern Jianshe Road, Zhengzhou, 450052, Henan, China
- NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Disease, Zhengzhou, Henan, China
- Henan Key Laboratory of Cerebrovascular Diseases, Zhengzhou University, Zhengzhou, Henan, China
- Institute of Neuroscience, Zhengzhou University, Zhengzhou, Henan, China
| | - Yanlin Wang
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, No. 1 Eastern Jianshe Road, Zhengzhou, 450052, Henan, China
- NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Disease, Zhengzhou, Henan, China
- Henan Key Laboratory of Cerebrovascular Diseases, Zhengzhou University, Zhengzhou, Henan, China
- Institute of Neuroscience, Zhengzhou University, Zhengzhou, Henan, China
| | - Changhe Shi
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, No. 1 Eastern Jianshe Road, Zhengzhou, 450052, Henan, China
- NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Disease, Zhengzhou, Henan, China
- Henan Key Laboratory of Cerebrovascular Diseases, Zhengzhou University, Zhengzhou, Henan, China
- Institute of Neuroscience, Zhengzhou University, Zhengzhou, Henan, China
| | - Yuming Xu
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, No. 1 Eastern Jianshe Road, Zhengzhou, 450052, Henan, China
- NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Disease, Zhengzhou, Henan, China
- Henan Key Laboratory of Cerebrovascular Diseases, Zhengzhou University, Zhengzhou, Henan, China
- Institute of Neuroscience, Zhengzhou University, Zhengzhou, Henan, China
| | - Jing Yang
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, No. 1 Eastern Jianshe Road, Zhengzhou, 450052, Henan, China.
- NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Disease, Zhengzhou, Henan, China.
- Henan Key Laboratory of Cerebrovascular Diseases, Zhengzhou University, Zhengzhou, Henan, China.
- Institute of Neuroscience, Zhengzhou University, Zhengzhou, Henan, China.
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Faizan M, Sachan N, Verma O, Sarkar A, Rawat N, Pratap Singh M. Cerebrospinal fluid protein biomarkers in Parkinson's disease. Clin Chim Acta 2024; 556:117848. [PMID: 38417781 DOI: 10.1016/j.cca.2024.117848] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Revised: 02/24/2024] [Accepted: 02/25/2024] [Indexed: 03/01/2024]
Abstract
Proteomic profiling is an effective way to identify biomarkers for Parkinson's disease (PD). Cerebrospinal fluid (CSF) has direct connectivity with the brain and could be a source of finding biomarkers and their clinical implications. Comparative proteomic profiling has shown that a group of differentially displayed proteins exist. The studies performed using conventional and classical tools also supported the occurrence of these proteins. Many studies have highlighted the potential of CSF proteomic profiling for biomarker identification and their clinical applications. Some of these proteins are useful for disease diagnosis and prediction. Proteomic profiling of CSF also has immense potential to distinguish PD from similar neurodegenerative disorders. A few protein biomarkers help in fundamental knowledge generation and clinical interpretation. However, the specific biomarker of PD is not yet known. The use of proteomic approaches in clinical settings is also rare. A large-scale, multi-centric, multi-population and multi-continental study using multiple proteomic tools is warranted. Such a study can provide valuable, comprehensive and reliable information for a better understanding of PD and the development of specific biomarkers. The current article sheds light on the role of CSF proteomic profiling in identifying biomarkers of PD and their clinical implications. The article also explains the achievements, obstacles and hopes for future directions of this approach.
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Affiliation(s)
- Mohd Faizan
- Systems Toxicology Group, FEST Division, CSIR-Indian Institute of Toxicology Research (CSIR-IITR), Vishvigyan Bhawan, 31, Mahatma Gandhi Marg, Lucknow 226001, Uttar Pradesh, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, Uttar Pradesh, India
| | - Nidhi Sachan
- Systems Toxicology Group, FEST Division, CSIR-Indian Institute of Toxicology Research (CSIR-IITR), Vishvigyan Bhawan, 31, Mahatma Gandhi Marg, Lucknow 226001, Uttar Pradesh, India
| | - Oyashvi Verma
- Systems Toxicology Group, FEST Division, CSIR-Indian Institute of Toxicology Research (CSIR-IITR), Vishvigyan Bhawan, 31, Mahatma Gandhi Marg, Lucknow 226001, Uttar Pradesh, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, Uttar Pradesh, India
| | - Alika Sarkar
- Systems Toxicology Group, FEST Division, CSIR-Indian Institute of Toxicology Research (CSIR-IITR), Vishvigyan Bhawan, 31, Mahatma Gandhi Marg, Lucknow 226001, Uttar Pradesh, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, Uttar Pradesh, India
| | - Neeraj Rawat
- Systems Toxicology Group, FEST Division, CSIR-Indian Institute of Toxicology Research (CSIR-IITR), Vishvigyan Bhawan, 31, Mahatma Gandhi Marg, Lucknow 226001, Uttar Pradesh, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, Uttar Pradesh, India
| | - Mahendra Pratap Singh
- Systems Toxicology Group, FEST Division, CSIR-Indian Institute of Toxicology Research (CSIR-IITR), Vishvigyan Bhawan, 31, Mahatma Gandhi Marg, Lucknow 226001, Uttar Pradesh, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, Uttar Pradesh, India; Capacity Building and Knowledge Services, ASSIST Division, CSIR-Indian Institute of Toxicology Research (CSIR-IITR), Vishvigyan Bhawan, 31, Mahatma Gandhi Marg, Lucknow 226001, Uttar Pradesh, India.
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4
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Oláh J, Norris V, Lehotzky A, Ovádi J. Perspective Strategies for Interventions in Parkinsonism: Remedying the Neglected Role of TPPP. Cells 2024; 13:338. [PMID: 38391951 PMCID: PMC10886726 DOI: 10.3390/cells13040338] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2023] [Revised: 01/31/2024] [Accepted: 02/12/2024] [Indexed: 02/24/2024] Open
Abstract
Neurological disorders such as Parkinsonism cause serious socio-economic problems as there are, at present, only therapies that treat their symptoms. The well-established hallmark alpha-synuclein (SYN) is enriched in the inclusion bodies characteristic of Parkinsonism. We discovered a prominent partner of SYN, termed Tubulin Polymerization Promoting Protein (TPPP), which has important physiological and pathological activities such as the regulation of the microtubule network and the promotion of SYN aggregation. The role of TPPP in Parkinsonism is often neglected in research, which we here attempt to remedy. In the normal brain, SYN and TPPP are expressed endogenously in neurons and oligodendrocytes, respectively, whilst, at an early stage of Parkinsonism, soluble hetero-associations of these proteins are found in both cell types. The cell-to-cell transmission of these proteins, which is central to disease progression, provides a unique situation for specific drug targeting. Different strategies for intervention and for the discovery of biomarkers include (i) interface targeting of the SYN-TPPP hetero-complex; (ii) proteolytic degradation of SYN and/or TPPP using the PROTAC technology; and (iii) depletion of the proteins by miRNA technology. We also discuss the potential roles of SYN and TPPP in the phenotype stabilization of neurons and oligodendrocytes.
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Affiliation(s)
- Judit Oláh
- Institute of Molecular Life Sciences, HUN-REN Research Centre for Natural Sciences, H-1117 Budapest, Hungary; (A.L.); (J.O.)
| | - Vic Norris
- Laboratory of Bacterial Communication and Anti-Infection Strategies, EA 4312, University of Rouen, 76821 Mont Saint Aignan, France;
| | - Attila Lehotzky
- Institute of Molecular Life Sciences, HUN-REN Research Centre for Natural Sciences, H-1117 Budapest, Hungary; (A.L.); (J.O.)
| | - Judit Ovádi
- Institute of Molecular Life Sciences, HUN-REN Research Centre for Natural Sciences, H-1117 Budapest, Hungary; (A.L.); (J.O.)
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5
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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] [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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6
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Palleis C, Franzmeier N, Weidinger E, Bernhardt AM, Katzdobler S, Wall S, Ferschmann C, Harris S, Schmitt J, Schuster S, Gnörich J, Finze A, Biechele G, Lindner S, Albert NL, Bartenstein P, Sabri O, Barthel H, Rupprecht R, Nuscher B, Stephens AW, Rauchmann BS, Perneczky R, Haass C, Brendel M, Levin J, Höglinger GU. Association of Neurofilament Light Chain, [ 18F]PI-2620 Tau-PET, TSPO-PET, and Clinical Progression in Patients With β-Amyloid-Negative CBS. Neurology 2024; 102:e207901. [PMID: 38165362 PMCID: PMC10834119 DOI: 10.1212/wnl.0000000000207901] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Accepted: 10/03/2023] [Indexed: 01/03/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Corticobasal syndrome (CBS) with underlying 4-repeat tauopathy is a progressive neurodegenerative disease characterized by declining cognitive and motor functions. Biomarkers for assessing pathologic brain changes in CBS including tau-PET, 18 kDa translocator protein (TSPO)-PET, structural MRI, neurofilament light chain (NfL), or glial fibrillary acidic protein (GFAP) have recently been evaluated for differential diagnosis and disease staging, yet their association with disease trajectories remains unclear. Therefore, we performed a head-to-head comparison of neuroimaging (tau-PET, TSPO-PET, structural MRI) and plasma biomarkers (NfL, GFAP) as prognostic tools for longitudinal clinical trajectories in β-amyloid (Aβ)-negative CBS. METHODS We included patients with clinically diagnosed Aβ-negative CBS with clinical follow-up data who underwent baseline structural MRI and plasma-NfL analysis for assessing neurodegeneration, [18F]PI-2620-PET for assessing tau pathology, [18F]GE-180-PET for assessing microglia activation, and plasma-GFAP analysis for assessing astrocytosis. To quantify tau and microglia load, we assessed summary scores of whole-brain, cortical, and subcortical PET signal. For structural MRI analysis, we quantified subcortical and cortical gray matter volume. Plasma NfL and GFAP values were assessed using Simoa-based immunoassays. Symptom progression was determined using a battery of cognitive and motor tests (i.e., Progressive Supranuclear Palsy Rating Scale [PSPRS]). Using linear mixed models, we tested whether the assessed biomarkers at baseline were associated with faster symptom progression over time (i.e., time × biomarker interaction). RESULTS Overall, 21 patients with Aβ-negative CBS with ∼2-year clinical follow-up data were included. Patients with CBS with more widespread global tau-PET signal showed faster clinical progression (PSPRS: B/SE = 0.001/0.0005, p = 0.025), driven by cortical rather than subcortical tau-PET. By contrast, patients with higher global [18F]GE-180-PET readouts showed slower clinical progression (PSPRS: B/SE = -0.056/0.023, p = 0.019). No association was found between gray matter volume and clinical progression. Concerning fluid biomarkers, only higher plasma-NfL (PSPRS: B/SE = 0.176/0.046, p < 0.001) but not GFAP was associated with faster clinical deterioration. In a subsequent sensitivity analysis, we found that tau-PET, TSPO-PET, and plasma-NfL showed significant interaction effects with time on clinical trajectories when tested in the same model. DISCUSSION [18F]PI-2620 tau-PET, [18F]GE-180 TSPO-PET, and plasma-NfL show prognostic potential for clinical progression in patients with Aβ-negative CBS with probable 4-repeat tauopathy, which can be useful for clinical decision-making and stratifying patients in clinical trials.
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Affiliation(s)
- Carla Palleis
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Nicolai Franzmeier
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Endy Weidinger
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Alexander M Bernhardt
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Sabrina Katzdobler
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Stephan Wall
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Christian Ferschmann
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Stefanie Harris
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Julia Schmitt
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Sebastian Schuster
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Johannes Gnörich
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Anika Finze
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Gloria Biechele
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Simon Lindner
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Nathalie L Albert
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Peter Bartenstein
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Osama Sabri
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Henryk Barthel
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Rainer Rupprecht
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Brigitte Nuscher
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Andrew W Stephens
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Boris-Stephan Rauchmann
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Robert Perneczky
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Christian Haass
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Matthias Brendel
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Johannes Levin
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Günter U Höglinger
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
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Remoli G, Schilke ED, Magi A, Ancidoni A, Negro G, Da Re F, Frigo M, Giordano M, Vanacore N, Canevelli M, Ferrarese C, Tremolizzo L, Appollonio I. Neuropathological hints from CSF and serum biomarkers in corticobasal syndrome (CBS): a systematic review. Neurol Res Pract 2024; 6:1. [PMID: 38173024 PMCID: PMC10765833 DOI: 10.1186/s42466-023-00294-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Accepted: 10/23/2023] [Indexed: 01/05/2024] Open
Abstract
Corticobasal syndrome (CBS) is a clinical syndrome determined by various underlying neurodegenerative disorders requiring a pathological assessment for a definitive diagnosis. A literature review was performed following the methodology described in the Cochrane Handbook for Systematic Reviews to investigate the additional value of traditional and cutting-edge cerebrospinal fluid (CSF) and serum/plasma biomarkers in profiling CBS. Four databases were screened applying predefined inclusion criteria: (1) recruiting patients with CBS; (2) analyzing CSF/plasma biomarkers in CBS. The review highlights the potential role of the association of fluid biomarkers in diagnostic workup of CBS, since they may contribute to a more accurate diagnosis and patient selection for future disease-modifying agent; for example, future trial designs should consider baseline CSF Neurofilament Light Chains (NfL) or progranulin dosage to stratify treatment arms according to neuropathological substrates, and serum NfL dosage might be used to monitor the evolution of CBS. In this scenario, prospective cohort studies, starting with neurological examination and neuropsychological tests, should be considered to assess the correlations of clinical profiles and various biomarkers.
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Affiliation(s)
- Giulia Remoli
- Neurology Department, Fondazione IRCCS San Gerardi dei Tintori, San Gerardo Hospital, Monza. Via G. Pergolesi, 33, 20900, Monza, Italy
- School of Medicine and Surgery and Milan Centre for Neuroscience (NeuroMI), University of Milano-Bicocca, Milano, Italy
- Department of Neuroscience, Sapienza University of Roma, Roma, Italy
| | - Edoardo Dalmato Schilke
- Neurology Department, Fondazione IRCCS San Gerardi dei Tintori, San Gerardo Hospital, Monza. Via G. Pergolesi, 33, 20900, Monza, Italy.
- School of Medicine and Surgery and Milan Centre for Neuroscience (NeuroMI), University of Milano-Bicocca, Milano, Italy.
| | - Andrea Magi
- Neurology Department, Fondazione IRCCS San Gerardi dei Tintori, San Gerardo Hospital, Monza. Via G. Pergolesi, 33, 20900, Monza, Italy
- School of Medicine and Surgery and Milan Centre for Neuroscience (NeuroMI), University of Milano-Bicocca, Milano, Italy
| | - Antonio Ancidoni
- National Institute of Health, Roma, Italy
- Department of Neuroscience, Sapienza University of Roma, Roma, Italy
| | - Giulia Negro
- Neurology Department, Fondazione IRCCS San Gerardi dei Tintori, San Gerardo Hospital, Monza. Via G. Pergolesi, 33, 20900, Monza, Italy
- School of Medicine and Surgery and Milan Centre for Neuroscience (NeuroMI), University of Milano-Bicocca, Milano, Italy
| | - Fulvio Da Re
- Neurology Department, Fondazione IRCCS San Gerardi dei Tintori, San Gerardo Hospital, Monza. Via G. Pergolesi, 33, 20900, Monza, Italy
- School of Medicine and Surgery and Milan Centre for Neuroscience (NeuroMI), University of Milano-Bicocca, Milano, Italy
| | - Maura Frigo
- Neurology Department, Fondazione IRCCS San Gerardi dei Tintori, San Gerardo Hospital, Monza. Via G. Pergolesi, 33, 20900, Monza, Italy
- School of Medicine and Surgery and Milan Centre for Neuroscience (NeuroMI), University of Milano-Bicocca, Milano, Italy
| | - Martina Giordano
- Neurosurgery Unit, Department of Neuroscience, ASST Grande Ospedale Metropolitano Niguarda, Milano, Italy
- University of Milan, Milano, Italy
| | - Nicola Vanacore
- National Institute of Health, Roma, Italy
- Department of Neuroscience, Sapienza University of Roma, Roma, Italy
| | - Marco Canevelli
- National Institute of Health, Roma, Italy
- Department of Neuroscience, Sapienza University of Roma, Roma, Italy
| | - Carlo Ferrarese
- Neurology Department, Fondazione IRCCS San Gerardi dei Tintori, San Gerardo Hospital, Monza. Via G. Pergolesi, 33, 20900, Monza, Italy
- School of Medicine and Surgery and Milan Centre for Neuroscience (NeuroMI), University of Milano-Bicocca, Milano, Italy
| | - Lucio Tremolizzo
- Neurology Department, Fondazione IRCCS San Gerardi dei Tintori, San Gerardo Hospital, Monza. Via G. Pergolesi, 33, 20900, Monza, Italy
- School of Medicine and Surgery and Milan Centre for Neuroscience (NeuroMI), University of Milano-Bicocca, Milano, Italy
| | - Ildebrando Appollonio
- Neurology Department, Fondazione IRCCS San Gerardi dei Tintori, San Gerardo Hospital, Monza. Via G. Pergolesi, 33, 20900, Monza, Italy
- School of Medicine and Surgery and Milan Centre for Neuroscience (NeuroMI), University of Milano-Bicocca, Milano, Italy
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8
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Wang L, Yi H, Liang X, Xu F, Li T, Yang X, Wei M, Ou Z, Tong Q. Plasma TNF-α and phosphorylated α-syn are associated with fatigue in patients with Parkinson's disease. J Neuroimmunol 2023; 385:578222. [PMID: 37918213 DOI: 10.1016/j.jneuroim.2023.578222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Revised: 09/25/2023] [Accepted: 10/23/2023] [Indexed: 11/04/2023]
Abstract
BACKGROUD Fatigue is one of the most common non-motor symptoms among patients with Parkinson's disease (PD).However, the pathogenesis keeps largely unknown. Moreover, it is lack of objective biomarker. OBJECTIVE To investigate the relationship between plasma inflammatory cytokines and α-syn levels and fatigue in patients with PD. METHODS A total of 63 PD patients were enrolled, including 35 patients with fatigue and 28 patients without fatigue. We compared the difference between plasma cytokines and alpha-synuclein (α-syn) in the two groups. Meanwhile, we analyzed the relationship between plasma cytokines and p-α-syn levels and fatigue. RESULTS PD patients with fatigue had older age, longer disease duration, more severe motor scores. There were significant differences in the plasma levels of IL-1β, IL-18, TNF-α, and phosphorylated α-syn (p-α-syn) between the two groups. The plasm inflammatory cytokine levels (IL-1β, IL-18 and TNF-α) were positively associated with FSS scores. Moreover, the plasma p-α-syn level was significantly positively correlated with FSS scores. Furthermore, the higher PDQ-39 scores and higher plasma levels of TNF-α and p-α-syn were strongly associated with fatigue in PD. The ROC curve analysis showed the AUC of TNF-α for fatigue in PD was 0.663 with a sensitivity of 65.71% and specificity of 67.86%, while the AUC of p-α-syn was 0.786 with a sensitivity of 74.29% and specificity of 64.29%. The combination of TNF-α and p-α-syn improves the AUC to 0.803 with a sensitivity of 88.57% and specificity of 64.29%. CONCLUSION The high plasma levels of TNF-α and p-α-syn were strongly associated with fatigue in PD.
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Affiliation(s)
- Lijun Wang
- Department of Neurology, The Affiliated Huaian No. 1 People's Hospital of Nanjing Medical University, 1 Huanghe Road West, Huaian, Jiangsu 223300, China
| | - Hongyan Yi
- Department of Neurology, The Affiliated Huaian No. 1 People's Hospital of Nanjing Medical University, 1 Huanghe Road West, Huaian, Jiangsu 223300, China
| | - Xiaojing Liang
- Department of Neurology, The Affiliated Huaian No. 1 People's Hospital of Nanjing Medical University, 1 Huanghe Road West, Huaian, Jiangsu 223300, China
| | - Fugui Xu
- Department of Neurology, The Affiliated Huaian No. 1 People's Hospital of Nanjing Medical University, 1 Huanghe Road West, Huaian, Jiangsu 223300, China
| | - Tiantian Li
- Department of Neurology, The Affiliated Huaian No. 1 People's Hospital of Nanjing Medical University, 1 Huanghe Road West, Huaian, Jiangsu 223300, China
| | - Xiu Yang
- Department of Neurology, The Affiliated Huaian No. 1 People's Hospital of Nanjing Medical University, 1 Huanghe Road West, Huaian, Jiangsu 223300, China
| | - Ming Wei
- Department of Neurology, The Affiliated Huaian No. 1 People's Hospital of Nanjing Medical University, 1 Huanghe Road West, Huaian, Jiangsu 223300, China
| | - Zhou Ou
- Department of Neurology, The Affiliated Huaian No. 1 People's Hospital of Nanjing Medical University, 1 Huanghe Road West, Huaian, Jiangsu 223300, China.
| | - Qiang Tong
- Department of Neurology, The Affiliated Huaian No. 1 People's Hospital of Nanjing Medical University, 1 Huanghe Road West, Huaian, Jiangsu 223300, China.
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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] [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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10
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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] [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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11
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Hamilton CA, O'Brien J, Heslegrave A, Laban R, Donaghy P, Durcan R, Lawley S, Barnett N, Roberts G, Firbank M, Taylor JP, Zetterberg H, Thomas A. Plasma biomarkers of neurodegeneration in mild cognitive impairment with Lewy bodies. Psychol Med 2023; 53:7865-7873. [PMID: 37489795 PMCID: PMC10755229 DOI: 10.1017/s0033291723001952] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Revised: 05/17/2023] [Accepted: 06/23/2023] [Indexed: 07/26/2023]
Abstract
BACKGROUND Blood biomarkers of Alzheimer's disease (AD) may allow for the early detection of AD pathology in mild cognitive impairment (MCI) due to AD (MCI-AD) and as a co-pathology in MCI with Lewy bodies (MCI-LB). However not all cases of MCI-LB will feature AD pathology. Disease-general biomarkers of neurodegeneration, such as glial fibrillary acidic protein (GFAP) or neurofilament light (NfL), may therefore provide a useful supplement to AD biomarkers. We aimed to compare the relative utility of plasma Aβ42/40, p-tau181, GFAP and NfL in differentiating MCI-AD and MCI-LB from cognitively healthy older adults, and from one another. METHODS Plasma samples were analysed for 172 participants (31 healthy controls, 48 MCI-AD, 28 possible MCI-LB and 65 probable MCI-LB) at baseline, and a subset (n = 55) who provided repeated samples after ≥1 year. Samples were analysed with a Simoa 4-plex assay for Aβ42, Aβ40, GFAP and NfL, and incorporated previously-collected p-tau181 from this same cohort. RESULTS Probable MCI-LB had elevated GFAP (p < 0.001) and NfL (p = 0.012) relative to controls, but not significantly lower Aβ42/40 (p = 0.06). GFAP and p-tau181 were higher in MCI-AD than MCI-LB. GFAP discriminated all MCI subgroups, from controls (AUC of 0.75), but no plasma-based marker effectively differentiated MCI-AD from MCI-LB. NfL correlated with disease severity and increased with MCI progression over time (p = 0.011). CONCLUSION Markers of AD and astrocytosis/neurodegeneration are elevated in MCI-LB. GFAP offered similar utility to p-tau181 in distinguishing MCI overall, and its subgroups, from healthy controls.
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Affiliation(s)
| | - John O'Brien
- Department of Psychiatry, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Amanda Heslegrave
- UK Dementia Research Institute, London, UK
- Department of Neurodegenerative Disease, University College London, London, UK
| | | | - Paul Donaghy
- Translational and Clinical Research Institute, Newcastle University, Newcastle, UK
| | - Rory Durcan
- Translational and Clinical Research Institute, Newcastle University, Newcastle, UK
| | - Sarah Lawley
- Translational and Clinical Research Institute, Newcastle University, Newcastle, UK
| | - Nicola Barnett
- Translational and Clinical Research Institute, Newcastle University, Newcastle, UK
| | - Gemma Roberts
- Translational and Clinical Research Institute, Newcastle University, Newcastle, UK
- Nuclear Medicine Department, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle, UK
| | - Michael Firbank
- Translational and Clinical Research Institute, Newcastle University, Newcastle, UK
| | - John-Paul Taylor
- Translational and Clinical Research Institute, Newcastle University, Newcastle, UK
| | - Henrik Zetterberg
- UK Dementia Research Institute, London, UK
- Department of Neurodegenerative Disease, University College London, London, UK
- Department of Psychiatry and Neurochemistry, University of Gothenburg, Gothenburg, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Gothenburg, Sweden
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Alan Thomas
- Translational and Clinical Research Institute, Newcastle University, Newcastle, UK
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12
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Zeng Q, Liu S, Cui M. Structure-Activity Relationships of Cyano-substituted Indole Derivatives as Ligands for α-Synuclein Aggregates. ACS Med Chem Lett 2023; 14:1467-1471. [PMID: 37849556 PMCID: PMC10577886 DOI: 10.1021/acsmedchemlett.3c00384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Accepted: 09/29/2023] [Indexed: 10/19/2023] Open
Abstract
α-Synuclein (α-syn) is an essential biomarker for synucleinopathies, including Parkinson's disease (PD), dementia with Lewy bodies (DLB), and multiple system atrophy (MSA). The development of α-syn imaging probes is of great importance for understanding the pathogenesis mechanism and developing new therapies. In this study, we designed and synthesized a series of cyano-substituted indole derivatives and evaluated their potency to bind to α-syn fibrils by in vitro fibril binding assays. We carried out systematic structure-activity relationship (SAR) studies and obtained a promising candidate 51. The results showed that 51 bound to α-syn fibrils with the affinity of 17.4 ± 5.6 nM, and the biodistribution experiments in normal mice showed [125I]51 exhibited a moderate brain uptake of 3.57 ± 0.28% ID/g at 2 min after injection. In conclusion, the indole derivative [125I]51 showed initial potential as α-syn imaging probes, which needed further development.
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Affiliation(s)
- Qi Zeng
- Key
Laboratory of Radiopharmaceuticals, Ministry of Education, Beijing Normal University, Beijing 100875, China
| | - Sen Liu
- Beijing
Seven Dimension Neuroscience Research Center, Beijing Seven Dimension
Biotechnology Inc., Beijing 101500, China
| | - Mengchao Cui
- Key
Laboratory of Radiopharmaceuticals, Ministry of Education, Beijing Normal University, Beijing 100875, China
- Center
for Advanced Materials Research, Beijing
Normal University at Zhuhai, Zhuhai 519087, China
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13
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Koníčková D, Menšíková K, Klíčová K, Chudáčková M, Kaiserová M, Přikrylová H, Otruba P, Nevrlý M, Hluštík P, Hényková E, Kaleta M, Friedecký D, Matěj R, Strnad M, Novák O, Plíhalová L, Rosales R, Colosimo C, Kaňovský P. Cerebrospinal fluid and blood serum biomarkers in neurodegenerative proteinopathies: A prospective, open, cross-correlation study. J Neurochem 2023; 167:168-182. [PMID: 37680022 DOI: 10.1111/jnc.15944] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 06/27/2023] [Accepted: 08/02/2023] [Indexed: 09/09/2023]
Abstract
Neurodegenerative diseases are a broad heterogeneous group affecting the nervous system. They are characterized, from a pathophysiological perspective, by the selective involvement of a subpopulation of nerve cells with a consequent clinical picture of a disease. Clinical diagnoses of neurodegenerative diseases are quite challenging and often not completely accurate because of their marked heterogeneity and frequently overlapping clinical pictures. Efforts are being made to define sufficiently specific and sensitive markers for individual neurodegenerative diseases or groups of diseases in order to increase the accuracy and speed of clinical diagnosis. Thus said, this present research aimed to identify biomarkers in the cerebrospinal fluid (CSF) and serum (α-synuclein [α-syn], tau protein [t-tau], phosphorylated tau protein [p-tau], β-amyloid [Aβ], clusterin, chromogranin A [chromogrA], cystatin C [cyst C], neurofilament heavy chains [NFH], phosphorylated form of neurofilament heavy chains [pNF-H], and ratio of tau protein/amyloid beta [Ind tau/Aβ]) that could help in the differential diagnosis and differentiation of the defined groups of α-synucleinopathies and four-repeat (4R-) tauopathies characterized by tau protein isoforms with four microtubule-binding domains. In this study, we analyzed a cohort of 229 patients divided into four groups: (1) Parkinson's disease (PD) + dementia with Lewy bodies (DLB) (n = 82), (2) multiple system atrophy (MSA) (n = 25), (3) progressive supranuclear palsy (PSP) + corticobasal syndrome (CBS) (n = 30), and (4) healthy controls (HC) (n = 92). We also focused on analyzing the biomarkers in relation to each other with the intention of determining whether they are useful in distinguishing among individual proteinopathies. Our results indicate that the proposed set of biomarkers, when evaluated in CSF, is likely to be useful for the differential diagnosis of MSA versus 4RT. However, these biomarkers do not seem to provide any useful diagnostic information when assessed in blood serum.
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Affiliation(s)
- Dorota Koníčková
- Department of Neurology, University Hospital Olomouc, Olomouc, Czech Republic
- Department of Neurology, Faculty of Medicine and Dentistry, Palacky University, Olomouc, Czech Republic
| | - Kateřina Menšíková
- Department of Neurology, University Hospital Olomouc, Olomouc, Czech Republic
- Department of Neurology, Faculty of Medicine and Dentistry, Palacky University, Olomouc, Czech Republic
| | - Kateřina Klíčová
- Department of Neurology, University Hospital Olomouc, Olomouc, Czech Republic
- Department of Neurology, Faculty of Medicine and Dentistry, Palacky University, Olomouc, Czech Republic
| | - Monika Chudáčková
- Department of Neurology, University Hospital Olomouc, Olomouc, Czech Republic
- Department of Neurology, Faculty of Medicine and Dentistry, Palacky University, Olomouc, Czech Republic
| | - Michaela Kaiserová
- Department of Neurology, University Hospital Olomouc, Olomouc, Czech Republic
- Department of Neurology, Faculty of Medicine and Dentistry, Palacky University, Olomouc, Czech Republic
| | - Hana Přikrylová
- Department of Neurology, University Hospital Olomouc, Olomouc, Czech Republic
- Neurology Outpatient Clinic "St. Moritz", Olomouc, Czech Republic
| | - Pavel Otruba
- Department of Neurology, University Hospital Olomouc, Olomouc, Czech Republic
- Department of Neurology, Faculty of Medicine and Dentistry, Palacky University, Olomouc, Czech Republic
| | - Martin Nevrlý
- Department of Neurology, University Hospital Olomouc, Olomouc, Czech Republic
- Department of Neurology, Faculty of Medicine and Dentistry, Palacky University, Olomouc, Czech Republic
| | - Petr Hluštík
- Department of Neurology, University Hospital Olomouc, Olomouc, Czech Republic
- Department of Neurology, Faculty of Medicine and Dentistry, Palacky University, Olomouc, Czech Republic
| | - Eva Hényková
- Department of Neurology, University Hospital Olomouc, Olomouc, Czech Republic
- Department of Neurology, Faculty of Medicine and Dentistry, Palacky University, Olomouc, Czech Republic
- Laboratory of Growth Regulators, Institute of Experimental Botany of the Czech Academy of Sciences, Palacky University, Olomouc, Czech Republic
| | - Michal Kaleta
- Department of Neurology, University Hospital Olomouc, Olomouc, Czech Republic
- Department of Neurology, Faculty of Medicine and Dentistry, Palacky University, Olomouc, Czech Republic
- Laboratory of Growth Regulators, Institute of Experimental Botany of the Czech Academy of Sciences, Palacky University, Olomouc, Czech Republic
| | - David Friedecký
- Laboratory of Inherited Metabolic Disorders, Faculty of Medicine and Dentistry, Palacky University, University Hospital Olomouc, Olomouc, Czech Republic
| | - Radoslav Matěj
- Department of Pathology and Molecular Medicine, Third Faculty of Medicine, Charles University, Thomayer University Hospital, Prague, Czech Republic
| | - Miroslav Strnad
- Department of Neurology, University Hospital Olomouc, Olomouc, Czech Republic
- Department of Neurology, Faculty of Medicine and Dentistry, Palacky University, Olomouc, Czech Republic
| | - Ondřej Novák
- Laboratory of Growth Regulators, Institute of Experimental Botany of the Czech Academy of Sciences, Palacky University, Olomouc, Czech Republic
| | - Lucie Plíhalová
- Department of Chemical Biology, Faculty of Science, Palacky University, Olomouc, Czech Republic
| | - Raymond Rosales
- Department of Neurology and Psychiatry, Neuroscience Institute, University of Santo Tomas Hospital, Manila, Philippines
| | - Carlo Colosimo
- Department of Neurology, Santa Maria University Hospital, Terni, Italy
| | - Petr Kaňovský
- Department of Neurology, University Hospital Olomouc, Olomouc, Czech Republic
- Department of Neurology, Faculty of Medicine and Dentistry, Palacky University, Olomouc, Czech Republic
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14
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Zhang Y, Tian J, Ni J, Wei M, Li T, Shi J. Peripheral Blood and Cerebrospinal Fluid Levels of YKL-40 in Alzheimer's Disease: A Systematic Review and Meta-Analysis. Brain Sci 2023; 13:1364. [PMID: 37891733 PMCID: PMC10605482 DOI: 10.3390/brainsci13101364] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 09/11/2023] [Accepted: 09/19/2023] [Indexed: 10/29/2023] Open
Abstract
The pathogenesis associated with Alzheimer's disease (AD) is particularly complicated, and early diagnosis and course monitoring of the disease are not ideal based on the available core biomarkers. As a biomarker closely related to neuroinflammation, YKL-40 provides a potential scalable approach in AD, but its association remains controversial and inconclusive with AD. We conducted this study to assess the utility of YKL-40 levels in peripheral blood and cerebrospinal fluid (CSF) of AD patients and healthy controls (HCs) by meta-analysis. We systematically searched and screened relevant trials for comparing YKL-40 levels between AD patients and HCs in PubMed, Embase, Cochrane, and Web of Science, with a search deadline of 14 March 2023 for each database. A total of 17 eligible and relevant studies involving 1811 subjects, including 949 AD patients and 862 HCs, were included. The results showed that YKL-40 levels in the peripheral blood of AD patients and HCs did not possess significant differences. Subgroup analysis showed YKL-40 significantly differed in plasma (SMD = 0.527, 95%CI: [0.302, 0.752]; p = 0.000), but did not in serum. In the case of comparison with HCs, YKL-40 was significantly higher in CSF of AD patients (SMD = 0.893, 95%CI: [0.665, 1.121]; p = 0.000). Besides that, when we performed a combined analysis of total YKL-40 in both peripheral blood and CSF, overall YKL-40 concentrations were also significantly increased among AD patients (SMD = 0.608, 95%CI: [0.272, 0.943]; p = 0.000). YKL-40 provides support and rationale for the neuroinflammatory pathogenesis of AD. The significance of CSF levels of YKL-40 for early screening of AD is definite. Plasma levels of YKL-40 also appear to assist in discriminating AD patients from HCs, which facilitates early screening and monitoring of the natural course of AD.
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Affiliation(s)
| | | | | | | | | | - Jing Shi
- Department of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing 100700, China; (Y.Z.); (J.T.); (J.N.); (M.W.); (T.L.)
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15
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Seada SA, van der Eerden AW, Boon AJW, Hernandez-Tamames JA. Quantitative MRI protocol and decision model for a 'one stop shop' early-stage Parkinsonism diagnosis: Study design. Neuroimage Clin 2023; 39:103506. [PMID: 37696098 PMCID: PMC10500558 DOI: 10.1016/j.nicl.2023.103506] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 06/21/2023] [Accepted: 09/04/2023] [Indexed: 09/13/2023]
Abstract
Differentiating among early-stage parkinsonisms is a challenge in clinical practice. Quantitative MRI can aid the diagnostic process, but studies with singular MRI techniques have had limited success thus far. Our objective is to develop a multi-modal MRI method for this purpose. In this review we describe existing methods and present a dedicated quantitative MRI protocol, a decision model and a study design to validate our approach ahead of a pilot study. We present example imaging data from patients and a healthy control, which resemble related literature.
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Affiliation(s)
- Samy Abo Seada
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Anke W van der Eerden
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Agnita J W Boon
- Department of Neurology, Erasmus MC, Rotterdam, The Netherlands
| | - Juan A Hernandez-Tamames
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands; Department of Imaging Physics, TU Delft, The Netherlands.
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16
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Levin Z, Leary OP, Mora V, Kant S, Brown S, Svokos K, Akbar U, Serre T, Klinge P, Fleischmann A, Ruocco MG. Cerebrospinal fluid transcripts may predict shunt surgery responses in normal pressure hydrocephalus. Brain 2023; 146:3747-3759. [PMID: 37208310 DOI: 10.1093/brain/awad109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 03/08/2023] [Accepted: 03/14/2023] [Indexed: 05/21/2023] Open
Abstract
Molecular biomarkers for neurodegenerative diseases are critical for advancing diagnosis and therapy. Normal pressure hydrocephalus (NPH) is a neurological disorder characterized by progressive neurodegeneration, gait impairment, urinary incontinence and cognitive decline. In contrast to most other neurodegenerative disorders, NPH symptoms can be improved by the placement of a ventricular shunt that drains excess CSF. A major challenge in NPH management is the identification of patients who benefit from shunt surgery. Here, we perform genome-wide RNA sequencing of extracellular vesicles in CSF of 42 NPH patients, and we identify genes and pathways whose expression levels correlate with gait, urinary or cognitive symptom improvement after shunt surgery. We describe a machine learning algorithm trained on these gene expression profiles to predict shunt surgery response with high accuracy. The transcriptomic signatures we identified may have important implications for improving NPH diagnosis and treatment and for understanding disease aetiology.
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Affiliation(s)
- Zachary Levin
- Department of Neuroscience, Brown University, Providence, RI 02912, USA
- Carney Institute for Brain Science, Brown University, Providence, RI 02912, USA
| | - Owen P Leary
- Department of Neurosurgery, Rhode Island Hospital, Warren Alpert Medical School, Brown University, Providence, RI 02903, USA
| | - Victor Mora
- Department of Neuroscience, Brown University, Providence, RI 02912, USA
- Carney Institute for Brain Science, Brown University, Providence, RI 02912, USA
| | - Shawn Kant
- Department of Neurosurgery, Rhode Island Hospital, Warren Alpert Medical School, Brown University, Providence, RI 02903, USA
| | - Sarah Brown
- Department of Neurosurgery, Rhode Island Hospital, Warren Alpert Medical School, Brown University, Providence, RI 02903, USA
| | - Konstantina Svokos
- Department of Neurosurgery, Rhode Island Hospital, Warren Alpert Medical School, Brown University, Providence, RI 02903, USA
| | - Umer Akbar
- Department of Neurology, Rhode Island Hospital, Warren Alpert Medical School, Brown University, Providence, RI 02903, USA
| | - Thomas Serre
- Carney Institute for Brain Science, Brown University, Providence, RI 02912, USA
- Department of Cognitive Linguistic and Psychological Sciences, Brown University, Providence, RI 02912, USA
| | - Petra Klinge
- Department of Neurosurgery, Rhode Island Hospital, Warren Alpert Medical School, Brown University, Providence, RI 02903, USA
| | - Alexander Fleischmann
- Department of Neuroscience, Brown University, Providence, RI 02912, USA
- Carney Institute for Brain Science, Brown University, Providence, RI 02912, USA
| | - Maria Grazia Ruocco
- Carney Institute for Brain Science, Brown University, Providence, RI 02912, USA
- Department of Cognitive Linguistic and Psychological Sciences, Brown University, Providence, RI 02912, USA
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17
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Li Y, Li F, Liu X, Zu J, Zhang W, Zhou S, Zhu J, Zhang T, Cui G, Xu C. Association between serum neurofilament light chain levels and sleep disorders in patients with Parkinson's disease. Neurosci Lett 2023; 812:137394. [PMID: 37437874 DOI: 10.1016/j.neulet.2023.137394] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 07/06/2023] [Accepted: 07/09/2023] [Indexed: 07/14/2023]
Abstract
OBJECTIVES This study aimed to investigate the levels of serum neurofilament light chain (NFL) and glial fibrillary acidic protein (GFAP) in patients with Parkinson's disease (PD) and PD patients with sleep disorders (PD-SD), as well as the relationship between these proteins and sleep disorders in PD patients. METHODS A total of 96 PD patients and 38 healthy controls (HC) were included in this study, of which 70 PD patients experienced sleep disorders. Both motor symptoms and sleep conditions were assessed in all PD patients. The ultrasensitive single molecule array (SIMOA) technique was used to quantify NFL and GFAP in the serum. All data were statistically analyzed using SPSS 23.0. RESULTS Serum NFL and GFAP levels were significantly higher in PD patients than in HC. Similarly, PD-SD patients exhibited higher levels of these two proteins than PD patients without sleep disorders (PD-NSD). In addition, both serum GFAP and NFL were significantly associated with sleep-related scales in PD patients. After covariate-adjusted binary logistic regression analysis, NFL remained statistically significant in PD patients with or without sleep disorders, unlike GFAP. CONCLUSIONS Our findings substantiate that serum NFL and GFAP levels are elevated in PD and PD-SD, suggesting neurological axon damage in PD patients, which may be more severe in PD-SD than in PD-NSD. These findings may affect disease diagnosis and provide the foothold for future studies on the underlying mechanisms.
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Affiliation(s)
- Yangdanyu Li
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Fujia Li
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Xu Liu
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Jie Zu
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Wei Zhang
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Su Zhou
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Jienan Zhu
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Tao Zhang
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Guiyun Cui
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
| | - Chuanying Xu
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
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18
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Jiménez-Jiménez FJ, Alonso-Navarro H, García-Martín E, Santos-García D, Martínez-Valbuena I, Agúndez JAG. Alpha-Synuclein in Peripheral Tissues as a Possible Marker for Neurological Diseases and Other Medical Conditions. Biomolecules 2023; 13:1263. [PMID: 37627328 PMCID: PMC10452242 DOI: 10.3390/biom13081263] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 08/11/2023] [Accepted: 08/16/2023] [Indexed: 08/27/2023] Open
Abstract
The possible usefulness of alpha-synuclein (aSyn) determinations in peripheral tissues (blood cells, salivary gland biopsies, olfactory mucosa, digestive tract, skin) and in biological fluids, except for cerebrospinal fluid (serum, plasma, saliva, feces, urine), as a marker of several diseases, has been the subject of numerous publications. This narrative review summarizes data from studies trying to determine the role of total, oligomeric, and phosphorylated aSyn determinations as a marker of various diseases, especially PD and other alpha-synucleinopathies. In summary, the results of studies addressing the determinations of aSyn in its different forms in peripheral tissues (especially in platelets, skin, and digestive tract, but also salivary glands and olfactory mucosa), in combination with other potential biomarkers, could be a useful tool to discriminate PD from controls and from other causes of parkinsonisms, including synucleinopathies.
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Affiliation(s)
| | | | - Elena García-Martín
- Institute of Molecular Pathology Biomarkers, Universidad de Extremadura, 10071 Cáceres, Spain; (E.G.-M.); (J.A.G.A.)
| | - Diego Santos-García
- Department of Neurology, CHUAC—Complejo Hospitalario Universitario de A Coruña, 15006 A Coruña, Spain;
| | - Iván Martínez-Valbuena
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, ON M5T 2S8, Canada;
| | - José A. G. Agúndez
- Institute of Molecular Pathology Biomarkers, Universidad de Extremadura, 10071 Cáceres, Spain; (E.G.-M.); (J.A.G.A.)
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19
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Wan L, Zhu S, Chen Z, Qiu R, Tang B, Jiang H. Multidimensional biomarkers for multiple system atrophy: an update and future directions. Transl Neurodegener 2023; 12:38. [PMID: 37501056 PMCID: PMC10375766 DOI: 10.1186/s40035-023-00370-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Accepted: 07/11/2023] [Indexed: 07/29/2023] Open
Abstract
Multiple system atrophy (MSA) is a fatal progressive neurodegenerative disease. Biomarkers are urgently required for MSA to improve the diagnostic and prognostic accuracy in clinic and facilitate the development and monitoring of disease-modifying therapies. In recent years, significant research efforts have been made in exploring multidimensional biomarkers for MSA. However, currently few biomarkers are available in clinic. In this review, we systematically summarize the latest advances in multidimensional biomarkers for MSA, including biomarkers in fluids, tissues and gut microbiota as well as imaging biomarkers. Future directions for exploration of novel biomarkers and promotion of implementation in clinic are also discussed.
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Affiliation(s)
- Linlin Wan
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, 410008, China
- Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, 410008, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, China
- Department of Radiology, Xiangya Hospital, Central South University, Changsha, 410008, China
- National International Collaborative Research Center for Medical Metabolomics, Central South University, Changsha, 410008, China
| | - Sudan Zhu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, 410008, China
| | - Zhao Chen
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, 410008, China
- Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, 410008, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, China
- Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic Diseases, Changsha, 410008, China
| | - Rong Qiu
- School of Computer Science and Engineering, Central South University, Changsha, 410083, China
| | - Beisha Tang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, 410008, China
- Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, 410008, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, China
- Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic Diseases, Changsha, 410008, China
| | - Hong Jiang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, 410008, China.
- Department of Neurology, The Third Xiangya Hospital, Central South University, Changsha, 410013, China.
- Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, 410008, China.
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, China.
- Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic Diseases, Changsha, 410008, China.
- National International Collaborative Research Center for Medical Metabolomics, Central South University, Changsha, 410008, China.
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Loveland PM, Yu JJ, Churilov L, Yassi N, Watson R. Investigation of Inflammation in Lewy Body Dementia: A Systematic Scoping Review. Int J Mol Sci 2023; 24:12116. [PMID: 37569491 PMCID: PMC10418754 DOI: 10.3390/ijms241512116] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 07/24/2023] [Accepted: 07/26/2023] [Indexed: 08/13/2023] Open
Abstract
Inflammatory mechanisms are increasingly recognized as important contributors to the pathogenesis of neurodegenerative diseases, including Lewy body dementia (LBD). Our objectives were to, firstly, review inflammation investigation methods in LBD (dementia with Lewy bodies and Parkinson's disease dementia) and, secondly, identify alterations in inflammatory signals in LBD compared to people without neurodegenerative disease and other neurodegenerative diseases. A systematic scoping review was performed by searching major electronic databases (MEDLINE, Embase, Web of Science, and PSYCHInfo) to identify relevant human studies. Of the 2509 results screened, 80 studies were included. Thirty-six studies analyzed postmortem brain tissue, and 44 investigated living subjects with cerebrospinal fluid, blood, and/or brain imaging assessments. Largely cross-sectional data were available, although two longitudinal clinical studies investigated prodromal Lewy body disease. Investigations were focused on inflammatory immune cell activity (microglia, astrocytes, and lymphocytes) and inflammatory molecules (cytokines, etc.). Results of the included studies identified innate and adaptive immune system contributions to inflammation associated with Lewy body pathology and clinical disease features. Different signals in early and late-stage disease, with possible late immune senescence and dystrophic glial cell populations, were identified. The strength of these associations is limited by the varying methodologies, small study sizes, and cross-sectional nature of the data. Longitudinal studies investigating associations with clinical and other biomarker outcomes are needed to improve understanding of inflammatory activity over the course of LBD. This could identify markers of disease activity and support therapeutic development.
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Affiliation(s)
- Paula M. Loveland
- Population Health and Immunity Division, The Walter and Eliza Hall Institute of Medical Research, Parkville 3000, Australia
- Department of Medicine, The Royal Melbourne Hospital, University of Melbourne, Parkville 3000, Australia
| | - Jenny J. Yu
- Population Health and Immunity Division, The Walter and Eliza Hall Institute of Medical Research, Parkville 3000, Australia
- Department of Medicine, The Royal Melbourne Hospital, University of Melbourne, Parkville 3000, Australia
| | - Leonid Churilov
- Department of Neurology, Melbourne Brain Centre, The Royal Melbourne Hospital, University of Melbourne, Parkville 3000, Australia
- Melbourne Medical School, University of Melbourne, Parkville 3000, Australia
| | - Nawaf Yassi
- Population Health and Immunity Division, The Walter and Eliza Hall Institute of Medical Research, Parkville 3000, Australia
- Department of Medicine, The Royal Melbourne Hospital, University of Melbourne, Parkville 3000, Australia
- Department of Neurology, Melbourne Brain Centre, The Royal Melbourne Hospital, University of Melbourne, Parkville 3000, Australia
| | - Rosie Watson
- Population Health and Immunity Division, The Walter and Eliza Hall Institute of Medical Research, Parkville 3000, Australia
- Department of Medicine, The Royal Melbourne Hospital, University of Melbourne, Parkville 3000, Australia
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21
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Liu T, Zuo H, Ma D, Song D, Zhao Y, Cheng O. Cerebrospinal fluid GFAP is a predictive biomarker for conversion to dementia and Alzheimer's disease-associated biomarkers alterations among de novo Parkinson's disease patients: a prospective cohort study. J Neuroinflammation 2023; 20:167. [PMID: 37475029 PMCID: PMC10357612 DOI: 10.1186/s12974-023-02843-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2023] [Accepted: 06/27/2023] [Indexed: 07/22/2023] Open
Abstract
BACKGROUND Dementia is a prevalent non-motor manifestation among individuals with advanced Parkinson's disease (PD). Glial fibrillary acidic protein (GFAP) is an inflammatory marker derived from astrocytes. Research has demonstrated the potential of plasma GFAP to forecast the progression to dementia in PD patients with mild cognitive impairment (PD-MCI). However, the predictive role of cerebrospinal fluid (CSF) GFAP on future cognitive transformation and alterations in Alzheimer's disease (AD)-associated CSF biomarkers in newly diagnosed PD patients has not been investigated. METHODS 210 de novo PD patients from the Parkinson's Progression Markers Initiative were recruited. Cognitive progression in PD participants was evaluated using Cox regression. Cross-sectional and longitudinal associations between baseline CSF GFAP and cognitive function and AD-related CSF biomarkers were evaluated using multiple linear regression and generalized linear mixed model. RESULTS At baseline, the mean age of PD participants was 60.85 ± 9.78 years, including 142 patients with normal cognition (PD-NC) and 68 PD-MCI patients. The average follow-up time was 6.42 ± 1.69 years. A positive correlation was observed between baseline CSF GFAP and age (β = 0.918, p < 0.001). There was no statistically significant difference in baseline CSF GFAP levels between PD-NC and PD-MCI groups. Higher baseline CSF GFAP predicted greater global cognitive decline over time in early PD patients (Montreal Cognitive Assessment, β = - 0.013, p = 0.014). Furthermore, Cox regression showed that high baseline CSF GFAP levels were associated with a high risk of developing dementia over an 8-year period in the PD-NC group (adjusted HR = 3.070, 95% CI 1.119-8.418, p = 0.029). In addition, the baseline CSF GFAP was positively correlated with the longitudinal changes of not only CSF α-synuclein (β = 0.313, p < 0.001), but also CSF biomarkers associated with AD, namely, amyloid-β 42 (β = 0.147, p = 0.034), total tau (β = 0.337, p < 0.001) and phosphorylated tau (β = 0.408, p < 0.001). CONCLUSIONS CSF GFAP may be a valuable prognostic tool that can predict the severity and progression of cognitive deterioration, accompanied with longitudinal changes in AD-associated pathological markers in early PD.
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Affiliation(s)
- Tingting Liu
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016 China
| | - Hongzhou Zuo
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016 China
| | - Di Ma
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016 China
| | - Dan Song
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016 China
| | - Yuying Zhao
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016 China
| | - Oumei Cheng
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016 China
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22
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Coughlin DG, Irwin DJ. Fluid and Biopsy Based Biomarkers in Parkinson's Disease. Neurotherapeutics 2023; 20:932-954. [PMID: 37138160 PMCID: PMC10457253 DOI: 10.1007/s13311-023-01379-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/11/2023] [Indexed: 05/05/2023] Open
Abstract
Several advances in fluid and tissue-based biomarkers for use in Parkinson's disease (PD) and other synucleinopathies have been made in the last several years. While work continues on species of alpha-synuclein (aSyn) and other proteins which can be measured from spinal fluid and plasma samples, immunohistochemistry and immunofluorescence from peripheral tissue biopsies and alpha-synuclein seeding amplification assays (aSyn-SAA: including real-time quaking induced conversion (RT-QuIC) and protein misfolding cyclic amplification (PMCA)) now offer a crucial advancement in their ability to identify aSyn species in PD patients in a categorical fashion (i.e., of aSyn + vs aSyn -); to augment clinical diagnosis however, aSyn-specific assays that have quantitative relevance to pathological burden remain an unmet need. Alzheimer's disease (AD) co-pathology is commonly found postmortem in PD, especially in those who develop dementia, and dementia with Lewy bodies (DLB). Biofluid biomarkers for tau and amyloid beta species can detect AD co-pathology in PD and DLB, which does have relevance for prognosis, but further work is needed to understand the interplay of aSyn tau, amyloid beta, and other pathological changes to generate comprehensive biomarker profiles for patients in a manner translatable to clinical trial design and individualized therapies.
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Affiliation(s)
- David G Coughlin
- Department of Neurosciences, University of California San Diego, 9444 Medical Center Drive, ECOB 03-021, MCC 0886, La Jolla, CA, 92037, USA.
| | - David J Irwin
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, 19104, USA
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23
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Zhou W, Zhou Y, Li J. Association between Cerebrospinal Fluid Soluble TREM2, Alzheimer's Disease and Other Neurodegenerative Diseases. J Clin Med 2023; 12:jcm12103589. [PMID: 37240695 DOI: 10.3390/jcm12103589] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2022] [Revised: 03/21/2023] [Accepted: 05/04/2023] [Indexed: 05/28/2023] Open
Abstract
BACKGROUND Cerebrospinal fluid (CSF) soluble triggering receptor expressed on myeloid cells 2 (sTREM2) is a potential biomarker and therapy target for neurodegenerative diseases (NDDs). The purpose of this meta-analysis was to investigate the association between CSF sTREM2 level and NDDs, and to reveal the dynamic changes in CSF sTREM2 level in Alzheimer's disease (AD) continuum. METHODS We systematically searched PubMed, Embase, Web of Science, and Cochrane Library databases for observational studies, which compared the levels of CSF sTREM2 between NDDs and controls. Sources of heterogeneity were analyzed using sensitivity analysis, subgroup analysis and meta-regression. We assessed pooled data using a random-effects model. RESULTS Twenty-two observational studies which included 5716 participates were identified. Compared with the controls, the whole AD continuum group showed a significant increase in CSF sTREM2 level (standardized mean difference [SMD]: 0.41, 95% confidence intervals [CI]: 0.24, 0.58, p < 0.001). The mild cognitive impairment (MCI) group displayed the largest effect size (SMD, 0.49 [95% CI: 0.10, 0.88], p = 0.014), followed by the AD cohort (SMD, 0.40 [95% CI: 0.18, 0.63], p < 0.001). The increase in sTREM2 in the preclinical stage of AD (pre-AD) group was the lowest (SMD, 0.29 [95% CI: 0.03, 0.55], p = 0.031). Other NDDs also showed an increase in the CSF sTREM2 levels compared with control groups (SMD, 0.77 [95% CI: 0.37, 1.16], p < 0.001). CONCLUSIONS The pooled data confirmed that NDDs are associated with increased CSF sTREM2 level, thereby suggesting the CSF sTREM2 as a potential dynamic biomarker and therapy target for NDDs.
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Affiliation(s)
- Wenchuan Zhou
- Department of Ophthalmology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China
| | - Yutong Zhou
- Department of Ophthalmology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China
| | - Jing Li
- Department of Ophthalmology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China
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24
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Mao S, Teng X, Li Z, Zu J, Zhang T, Xu C, Cui G. Association of serum neurofilament light chain and glial fibrillary acidic protein levels with cognitive decline in Parkinson's disease. Brain Res 2023; 1805:148271. [PMID: 36754139 DOI: 10.1016/j.brainres.2023.148271] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2022] [Revised: 02/01/2023] [Accepted: 02/04/2023] [Indexed: 02/10/2023]
Abstract
OBJECTIVES To investigate whether serum neurofilament light chain (NfL) and glial fibrillary acidic protein (GFAP) levels are associated with motor and cognitive function in Parkinson's disease (PD). METHODS This cross-sectional study recruited 140 participants, including 103 PD patients and 37 healthy controls (HC). Serum NfL and GFAP levels were measured using the ultrasensitive single-molecule array (Simoa) technique. Motor and cognitive function were evaluated using the Movement Disorder Society Unified Parkinson's Disease Rating Scale Part III (MDS-UPDRS III) and Beijing version of the Montreal Cognitive Assessment (MoCA). Spearman's correlation analyses were used to determine the correlation between serum NfL and GFAP levels and clinical features in PD patients. Binary logistic regression analysis was used to assess the association between serum biomarkers and cognitive impairment in PD patients. RESULTS We observed significantly higher serum NfL and GFAP levels in PD patients than in HC (p < 0.001). Serum NfL and GFAP levels were negatively correlated with MoCA scores (NfL: r = - 0.472, p < 0.001; r = 0.395, p < 0.001) and multiple cognitive domains and showed no correlation with motor symptom severity after adjusting for age and sex. Binary logistic regression analysis showed that the serum NfL and GFAP levels were independent contributors to PD with dementia (p < 0.05). CONCLUSIONS Both serum NfL and GFAP levels correlated with cognitive impairment, but not motor symptoms, in PD patients. Serum NfL and GFAP levels can serve as biomarkers for PD patients at risk of cognitive decline.
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Affiliation(s)
- Shuai Mao
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, 99 West Huaihai Road, Xuzhou, Jiangsu Province 221000, China; Department of Neurology, The First Clinical College, Xuzhou Medical University, 209 Tongshan Road, Xuzhou, Jiangsu Province 221000, China
| | - Xing Teng
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, 99 West Huaihai Road, Xuzhou, Jiangsu Province 221000, China; Department of Neurology, The First Clinical College, Xuzhou Medical University, 209 Tongshan Road, Xuzhou, Jiangsu Province 221000, China
| | - Zhen Li
- Department of Neurology, The First Clinical College, Xuzhou Medical University, 209 Tongshan Road, Xuzhou, Jiangsu Province 221000, China
| | - Jie Zu
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, 99 West Huaihai Road, Xuzhou, Jiangsu Province 221000, China
| | - Tao Zhang
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, 99 West Huaihai Road, Xuzhou, Jiangsu Province 221000, China
| | - Chuanying Xu
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, 99 West Huaihai Road, Xuzhou, Jiangsu Province 221000, China; Department of Neurology, The First Clinical College, Xuzhou Medical University, 209 Tongshan Road, Xuzhou, Jiangsu Province 221000, China.
| | - Guiyun Cui
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, 99 West Huaihai Road, Xuzhou, Jiangsu Province 221000, China; Department of Neurology, The First Clinical College, Xuzhou Medical University, 209 Tongshan Road, Xuzhou, Jiangsu Province 221000, China.
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25
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Shen XN, Wu KM, Huang YY, Guo Y, Huang SY, Zhang YR, Chen SF, Wang HF, Zhang W, Cheng W, Cui M, Dong Q, Yu JT. Systematic assessment of plasma biomarkers in spinocerebellar ataxia. Neurobiol Dis 2023; 181:106112. [PMID: 37003406 DOI: 10.1016/j.nbd.2023.106112] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Revised: 03/25/2023] [Accepted: 03/28/2023] [Indexed: 04/03/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Plasma neurofilament light (NfL), glial fibrillary acidic protein (GFAP), phosphorylated-tau (p-tau), and β-amyloid (Aβ) have emerged as promising markers in several neurodegenerative disorders, but whether they can be used as biomarkers in spinocerebellar ataxias (SCA) is yet to be determined. This study aimed to identify sensitive plasma markers for SCA and investigate their effectiveness in tracking ataxia severity, cognition, non-motor symptoms, and brain atrophy. METHODS This observational study recruited consecutive participants from Huashan Hospital and the CABLE study from November 2019. Patients with SCA were genetically diagnosed, grouped according to the ataxia severity, and compared with healthy older individuals and patients with multiple system atrophy type C (MSA-C). Plasma NfL, GFAP, p-tau, and Aβ levels were measured by Simoa in all participants. Analysis of covariance, Spearman correlation, and multivariable regression were used to explore candidate markers in SCA. RESULTS A total of 190 participants (60 SCA, 56 MSA-C, and 74 healthy controls) were enrolled. Plasma NfL level increased early in the pre-ataxic stage of SCA (32.23 ± 3.07 vs. 11.41 ± 6.62 pg/mL in controls), was positively associated with the ataxia severity (r = 0.45, P = 0.005) and CAG repeat length (r = 0.51, P = 0.001), varied among the different SCA subtypes (39.57 ± 13.50 pg/mL in SCA3, which was higher than 28.17 ± 8.02 pg/mL in SCA2, 17.08 ± 6.78 pg/mL in SCA8, and 24.44 ± 18.97 pg/mL in rare SCAs; P < 0.05), and was associated with brainstem atrophy. NfL alone (area under the curve [AUC] 0.867) or combined with p-tau181 and Aβ (AUC 0.929), showed excellent performance in discriminating SCA patients from controls. Plasma GFAP distinguished SCA from MSA-C with moderate accuracy (AUC > 0.700) and correlated with cognitive performance and cortical atrophy. Changes in levels of p-tau181 and Aβ were observed in SCA patients compared to controls. They were both correlated with cognition, while Aβ was also associated with non-motor symptoms, such as anxiety and depression. DISCUSSION Plasma NfL may serve as a sensitive biomarker for SCA, and its level is elevated in the pre-ataxic stage. The different performance of NfL and GFAP indicates differences in the underlying neuropathology of SCA and MSA-C. Moreover, amyloid markers may be useful for detecting memory dysfunction and other non-motor symptoms in SCA.
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Affiliation(s)
- Xue-Ning Shen
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Kai-Min Wu
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yu-Yuan Huang
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yu Guo
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Shu-Yi Huang
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Ya-Ru Zhang
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Shu-Fen Chen
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Hui-Fu Wang
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, China
| | - Wei Zhang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China; Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, China
| | - Wei Cheng
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China; Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, China; Fudan ISTBI-ZJNU Algorithm Centre for Brain-Inspired Intelligence, Zhejiang Normal University, Jinhua, China
| | - Mei Cui
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Qiang Dong
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Jin-Tai Yu
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China.
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26
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Youssef P, Hughes L, Kim WS, Halliday GM, Lewis SJG, Cooper A, Dzamko N. Evaluation of plasma levels of NFL, GFAP, UCHL1 and tau as Parkinson's disease biomarkers using multiplexed single molecule counting. Sci Rep 2023; 13:5217. [PMID: 36997567 PMCID: PMC10063670 DOI: 10.1038/s41598-023-32480-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2022] [Accepted: 03/28/2023] [Indexed: 04/01/2023] Open
Abstract
Objective biomarkers for Parkinson's Disease (PD) could aid early and specific diagnosis, effective monitoring of disease progression, and improved design and interpretation of clinical trials. Although alpha-synuclein remains a biomarker candidate of interest, the multifactorial and heterogenous nature of PD highlights the need for a PD biomarker panel. Ideal biomarker candidates include markers that are detectable in easily accessible samples, (ideally blood) and that reflect the underlying pathological process of PD. In the present study, we explored the diagnostic and prognostic PD biomarker potential of the SIMOA neurology 4-plex-A biomarker panel, which included neurofilament light (NFL), glial fibrillary acid protein (GFAP), tau and ubiquitin C-terminal hydrolase L1 (UCHL-1). We initially performed a serum vs plasma comparative study to determine the most suitable blood-based matrix for the measurement of these proteins in a multiplexed assay. The levels of NFL and GFAP in plasma and serum were highly correlated (Spearman rho-0.923, p < 0.0001 and rho = 0.825, p < 0.001 respectively). In contrast, the levels of tau were significantly higher in plasma compared to serum samples (p < 0.0001) with no correlation between sample type (Spearman p > 0.05). The neurology 4-plex-A panel, along with plasma alpha-synuclein was then assessed in a cross-sectional cohort of 29 PD patients and 30 controls. Plasma NFL levels positively correlated with both GFAP and alpha-synuclein levels (rho = 0.721, p < 0.0001 and rho = 0.390, p < 0.05 respectively). As diagnostic biomarkers, the control and PD groups did not differ in their mean NFL, GFAP, tau or UCHL-1 plasma levels (t test p > 0.05). As disease state biomarkers, motor severity (MDS-UPDRS III) correlated with increased NFL (rho = 0.646, p < 0.0001), GFAP (rho = 0.450, p < 0.05) and alpha-synuclein levels (rho = 0.406, p < 0.05), while motor stage (Hoehn and Yahr) correlated with increased NFL (rho = 0.455, p < 0.05) and GFAP (rho = 0.549, p < 0.01) but not alpha-synuclein levels (p > 0.05). In conclusion, plasma was determined to be most suitable blood-based matrix for multiplexing the neurology 4-plex-A panel. Given their correlation with motor features of PD, NFL and GFAP appear to be promising disease state biomarker candidates and further longitudinal validation of these two proteins as blood-based biomarkers for PD progression is warranted.
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Affiliation(s)
- Priscilla Youssef
- Faculty of Medicine and Health and the Brain and Mind Centre, School of Medical Sciences, University of Sydney, Camperdown, NSW, 2050, Australia
| | - Laura Hughes
- Faculty of Medicine and Health and the Brain and Mind Centre, School of Medical Sciences, University of Sydney, Camperdown, NSW, 2050, Australia
| | - Woojin S Kim
- Faculty of Medicine and Health and the Brain and Mind Centre, School of Medical Sciences, University of Sydney, Camperdown, NSW, 2050, Australia
| | - Glenda M Halliday
- Faculty of Medicine and Health and the Brain and Mind Centre, School of Medical Sciences, University of Sydney, Camperdown, NSW, 2050, Australia
| | - Simon J G Lewis
- Faculty of Medicine and Health and the Brain and Mind Centre, School of Medical Sciences, University of Sydney, Camperdown, NSW, 2050, Australia
| | - Antony Cooper
- Garvan Institute of Medical Research, Darlinghurst, NSW, 2010, Australia
- St Vincent's Clinical School, UNSW-Sydney, Darlinghurst, NSW, 2010, Australia
| | - Nicolas Dzamko
- Faculty of Medicine and Health and the Brain and Mind Centre, School of Medical Sciences, University of Sydney, Camperdown, NSW, 2050, Australia.
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27
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Dutta S, Hornung S, Taha HB, Biggs K, Siddique I, Chamoun LM, Shahpasand-Kroner H, Lantz C, Herrera-Vaquero M, Stefanova N, Loo JA, Bitan G. Development of a Novel Electrochemiluminescence ELISA for Quantification of α-Synuclein Phosphorylated at Ser 129 in Biological Samples. ACS Chem Neurosci 2023; 14:1238-1248. [PMID: 36920792 PMCID: PMC10080651 DOI: 10.1021/acschemneuro.2c00676] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/16/2023] Open
Abstract
Synucleinopathies are a group of neurodegenerative diseases including Parkinson's disease (PD), dementia with Lewy bodies (DLB), and multiple system atrophy (MSA). These diseases are characterized by the aggregation and deposition of α-synuclein (α-syn) in Lewy bodies (LBs) in PD and DLB or as glial cytoplasmic inclusions in MSA. In healthy brains, only ∼4% of α-syn is phosphorylated at Ser129 (pS129-α-syn), whereas >90% pS129-α-syn may be found in LBs, suggesting that pS129-α-syn could be a useful biomarker for synucleinopathies. However, a widely available, robust, sensitive, and reproducible method for measuring pS129-α-syn in biological fluids is currently missing. We used Meso Scale Discovery (MSD)'s electrochemiluminescence platform to create a new assay for sensitive detection of pS129-α-syn. We evaluated several combinations of capture and detection antibodies and used semisynthetic pS129-α-syn as a standard for the assay at a concentration range from 0.5 to 6.6 × 104 pg/mL. Using the antibody EP1536Y for capture and an anti-human α-syn antibody (MSD) for detection was the best combination in terms of assay sensitivity, specificity, and reproducibility. We tested the utility of the assay for the detection and quantification of pS129-α-syn in human cerebrospinal fluid, serum, plasma, saliva, and CNS-originating small extracellular vesicles, as well as in mouse brain lysates. Our data suggest that the assay can become a widely used method for detecting pS129-α-syn in biomedical studies including when only a limited volume of sample is available and high sensitivity is required, offering new opportunities for diagnostic biomarkers, monitoring disease progression, and quantifying outcome measures in clinical trials.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Marcos Herrera-Vaquero
- Division of Neurobiology, Department of Neurology, Medical University of Innsbruck, 6020 Innsbruck, Austria
| | - Nadia Stefanova
- Division of Neurobiology, Department of Neurology, Medical University of Innsbruck, 6020 Innsbruck, Austria
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28
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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] [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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Soluble TREM2 in body fluid in Alzheimer's disease and Parkinson's disease. Neurol Sci 2023:10.1007/s10072-023-06729-5. [PMID: 36913148 DOI: 10.1007/s10072-023-06729-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Accepted: 03/02/2023] [Indexed: 03/14/2023]
Abstract
BACKGROUND Previous studies showed conflicting results regarding soluble triggering receptor expressed on myeloid cells 2 (sTREM2) level alteration in body fluid in Alzheimer's disease (AD) and Parkinson's disease (PD). METHODS We applied the STATA 12.0 software to compute standard mean difference (SMD) and 95% confidence interval (CI). RESULTS The study showed elevated sTREM2 level in cerebrospinal fluid (CSF) in AD, mild cognitive impairment (MCI), and preclinical AD (pre-AD) patients, compared to healthy controls (HCs) with random effects models (AD: SMD 0.28, 95% CI 0.12 to 0.44, I2 = 77.6%, p < 0.001; MCI: SMD 0.29, 95% CI 0.09 to 0.48, I2 = 89.7%, p < 0.001; pre-AD: SMD 0.24, 95% CI 0.00 to 0.48, I2 = 80.8%, p < 0.001). The study showed no significant difference in sTREM2 level in plasma between AD patients and HCs with a random effects model (SMD 0.06, 95% CI - 0.16 to 0.28, I2 = 65.6%, p = 0.008). The study showed no significant difference in sTREM2 level in CSF or plasma between PD patients and HCs with random effects models (CSF: SMD 0.33, 95% CI - 0.02 to 0.67, I2 = 85.6%, p < 0.001; plasma: SMD 0.37, 95% CI - 0.17 to 0.92, I2 = 77.8%, p = 0.011). CONCLUSIONS In conclusion, the study highlighted the CSF sTREM2 as a promising biomarker in the different clinical stages of AD. More studies were essential to explore the CSF and plasmatic concentrations of sTREM2 alteration in PD.
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Canever JB, Soares ES, de Avelar NCP, Cimarosti HI. Targeting α-synuclein post-translational modifications in Parkinson's disease. Behav Brain Res 2023; 439:114204. [PMID: 36372243 DOI: 10.1016/j.bbr.2022.114204] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Revised: 10/25/2022] [Accepted: 11/04/2022] [Indexed: 11/13/2022]
Abstract
Parkinson's disease (PD) is a neurodegenerative disease characterized by the progressive loss of dopaminergic neurons in the nigrostriatal pathway. Although the exact mechanisms underlying PD are still not completely understood, it is well accepted that α-synuclein plays key pathophysiological roles as the main constituent of the cytoplasmic inclusions known as Lewy bodies. Several post-translational modifications (PTMs), such as the best-known phosphorylation, target α-synuclein and are thus implicated in its physiological and pathological functions. In this review, we present (1) an overview of the pathophysiological roles of α-synuclein, (2) a descriptive analysis of α-synuclein PTMs, including phosphorylation, ubiquitination, SUMOylation, acetylation, glycation, truncation, and O-GlcNAcylation, as well as (3) a brief summary on α-synuclein PTMs as potential biomarkers for PD. A better understanding of α-synuclein PTMs is of paramount importance for elucidating the mechanisms underlying PD and can thus be expected to improve early detection and monitoring disease progression, as well as identify promising new therapeutic targets.
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Affiliation(s)
- Jaquelini B Canever
- Post-Graduate Program in Neuroscience, Federal University of Santa Catarina (UFSC), Florianópolis, Santa Catarina, Brazil; Laboratory of Aging, Resources and Rheumatology, UFSC, Araranguá, Santa Catarina, Brazil
| | - Ericks Sousa Soares
- Post-Graduate Program in Pharmacology, UFSC, Florianópolis, Santa Catarina, Brazil
| | - Núbia C P de Avelar
- Laboratory of Aging, Resources and Rheumatology, UFSC, Araranguá, Santa Catarina, Brazil
| | - Helena I Cimarosti
- Post-Graduate Program in Neuroscience, Federal University of Santa Catarina (UFSC), Florianópolis, Santa Catarina, Brazil; Post-Graduate Program in Pharmacology, UFSC, Florianópolis, Santa Catarina, Brazil.
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31
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Huang SY, Chen SF, Cui M, Zhao M, Shen XN, Guo Y, Zhang YR, Zhang W, Wang HF, Huang YY, Cheng W, Zuo CT, Dong Q, Yu JT. Plasma Biomarkers and Positron Emission Tomography Tau Pathology in Progressive Supranuclear Palsy. Mov Disord 2023; 38:676-682. [PMID: 36781585 DOI: 10.1002/mds.29339] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 01/12/2023] [Accepted: 01/19/2023] [Indexed: 02/15/2023] Open
Abstract
BACKGROUND Development of disease-modifying therapeutic trials of progressive supranuclear palsy (PSP) urges the need for sensitive fluid biomarkers. OBJECTIVES The objectives of this study were to explore the utility of plasma biomarkers in the diagnosis, differential diagnosis, and assessment of disease severity, brain atrophy, and tau deposition in PSP. METHODS Plasma biomarkers were measured using a single-molecule array in a cohort composed of patients with PSP, Parkinson's disease (PD), multiple system atrophy with predominant parkinsonism (MSA-P), and healthy controls (HCs). RESULTS Plasma neurofilament light chain (NfL) outperformed other plasma makers (ie, glial fibrillary acidic protein [GFAP], phosphorylated-tau 181 [p-tau181], amyloid-β 1-40, amyloid-β 1-42) in identifying PSP from HC (area under the curve [AUC] = 0.904) and from MSA-P (AUC = 0.711). Plasma GFAP aided in distinguishing PSP from HC (AUC = 0.774) and from MSA-P (AUC = 0.832). It correlated with brainstem atrophy and higher regional tau accumulation. However, plasma p-tau181 neither helped in diagnosis nor was it associated with clinical or neuroimaging measures. CONCLUSIONS Plasma NfL and GFAP showed different values in differentiating PSP from HC or controls with other forms of neurodegenerative parkinsonism and detecting disease severity, brain atrophy, or tau deposition in PSP. © 2023 International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Shu-Yi Huang
- Department of Neurology and National Center for Neurological Disorders, 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 National Center for Neurological Disorders, 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
| | - Mei Cui
- Department of Neurology and National Center for Neurological Disorders, 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
| | - Meng Zhao
- Department of Neurology, The First Hospital of Jilin University, Changchun, China
| | - Xue-Ning Shen
- Department of Neurology and National Center for Neurological Disorders, 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
| | - Yu Guo
- Department of Neurology and National Center for Neurological Disorders, 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
| | - Ya-Ru Zhang
- Department of Neurology and National Center for Neurological Disorders, 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 Zhang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
| | - Hui-Fu Wang
- Department of Neurology, The First Hospital of Jilin University, Changchun, China
| | - Yu-Yuan Huang
- Department of Neurology, The First Hospital of Jilin University, Changchun, China
| | - Wei Cheng
- Department of Neurology, The First Hospital of Jilin University, Changchun, China
| | - Chuan-Tao Zuo
- PET Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Qiang Dong
- Department of Neurology and National Center for Neurological Disorders, 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 National Center for Neurological Disorders, 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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Teng X, Mao S, Wu H, Shao Q, Zu J, Zhang W, Zhou S, Zhang T, Zhu J, Cui G, Xu C. The relationship between serum neurofilament light chain and glial fibrillary acidic protein with the REM sleep behavior disorder subtype of Parkinson's disease. J Neurochem 2023; 165:268-276. [PMID: 36776136 DOI: 10.1111/jnc.15780] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2022] [Revised: 02/02/2023] [Accepted: 02/05/2023] [Indexed: 02/14/2023]
Abstract
Studies have shown that rapid eye movement (REM) sleep behavior disorder (RBD) is a subtype of Parkinson's disease (PD) characterized by severe cognitive impairment and rapid disease progression. However, reliable biological markers are lacking presently. Neurofilament light chain (NFL) and glial fibrillary acidic protein (GFAP) have been widely studied as biomarkers of cognition impairment. This study aimed to find biomarkers for the RBD subtype of PD by investigating the possible relationship between serum NFL, GFAP levels, and the RBD subtype. A total of 109 PD patients and 37 healthy controls (HCs) were included, and their clinical characteristics were evaluated. PD patients were divided into two groups based on whether they had probable RBD or not. Serum NFL and GFAP levels were measured using the ultrasensitive single molecule array (Simoa) platform. The obtained data were statistically analyzed using SPSS 25.0 (IBM, Chicago, IL, USA). NFL and GFAP in the PD-RBD group were elevated compared with the PD-nRBD and control groups. Moreover, serum NFL and GFAP levels positively correlated with RBD. The combination of NFL and GFAP showed good performance in identifying PD-RBD patients from PD-nRBD. After considering potential confounding factors such as age, and disease duration, serum NFL and GFAP emerged as independent risk factors for RBD. Serum NFL and GFAP were related to RBD in PD patients. Concludingly, serum NFL and GFAP might serve as promising biomarkers for the RBD subtype of PD.
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Affiliation(s)
- Xing Teng
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.,Department of Neurology, The First Clinical College, Xuzhou Medical University, Xuzhou, China
| | - Shuai Mao
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.,Department of Neurology, The First Clinical College, Xuzhou Medical University, Xuzhou, China
| | - Han Wu
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.,Department of Neurology, The First Clinical College, Xuzhou Medical University, Xuzhou, China
| | - Qiuyue Shao
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.,Department of Neurology, The First Clinical College, Xuzhou Medical University, Xuzhou, China
| | - Jie Zu
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.,Department of Neurology, The First Clinical College, Xuzhou Medical University, Xuzhou, China
| | - Wei Zhang
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.,Department of Neurology, The First Clinical College, Xuzhou Medical University, Xuzhou, China
| | - Su Zhou
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.,Department of Neurology, The First Clinical College, Xuzhou Medical University, Xuzhou, China
| | - Tao Zhang
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.,Department of Neurology, The First Clinical College, Xuzhou Medical University, Xuzhou, China
| | - Jienan Zhu
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.,Department of Neurology, The First Clinical College, Xuzhou Medical University, Xuzhou, China
| | - Guiyun Cui
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.,Department of Neurology, The First Clinical College, Xuzhou Medical University, Xuzhou, China
| | - Chuanying Xu
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.,Department of Neurology, The First Clinical College, Xuzhou Medical University, Xuzhou, China
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Giuliano C, Cerri S, Cesaroni V, Blandini F. Relevance of Biochemical Deep Phenotyping for a Personalised Approach to Parkinson's Disease. Neuroscience 2023; 511:100-109. [PMID: 36572171 DOI: 10.1016/j.neuroscience.2022.12.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 10/05/2022] [Accepted: 12/19/2022] [Indexed: 12/25/2022]
Abstract
Parkinson's disease (PD) is a multifactorial neurodegenerative disorder characterised by the progressive loss of dopaminergic neurons in the nigrostriatal tract. The identification of disease-modifying therapies is the Holy Grail of PD research, but to date no drug has been approved as such a therapy. A possible reason is the remarkable phenotypic heterogeneity of PD patients, which can generate confusion in the interpretation of results or even mask the efficacy of a therapeutic intervention. This heterogeneity should be taken into account in clinical trials, stratifying patients by their expected response to drugs designed to engage selected molecular targets. In this setting, stratification methods (clinical and genetic) should be supported by biochemical phenotyping of PD patients, in line with the deep phenotyping concept. Collection, from single patients, of a range of biological samples would streamline the generation of these profiles. Several studies have proposed biochemical characterisations of patient cohorts based on analysis of blood, cerebrospinal fluid, urine, stool, saliva and skin biopsy samples, with extracellular vesicles attracting increasing interest as a source of biomarkers. In this review we report and critically discuss major studies that used a biochemical approach to stratify their PD cohorts. The analyte most studied is α-synuclein, while other studies have focused on neurofilament light chain, lysosomal proteins, inflammasome-related proteins, LRRK2 and the urinary proteome. At present, stratification of PD patients, while promising, is still a nascent approach. Deep phenotyping of patients will allow clinical researchers to identify homogeneous subgroups for the investigation of tailored disease-modifying therapies, enhancing the chances of therapeutic success.
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Affiliation(s)
- Claudio Giuliano
- Unit of Cellular and Molecular Neurobiology, IRCCS Mondino Foundation, 27100 Pavia, Italy
| | - Silvia Cerri
- Unit of Cellular and Molecular Neurobiology, IRCCS Mondino Foundation, 27100 Pavia, Italy
| | - Valentina Cesaroni
- Unit of Cellular and Molecular Neurobiology, IRCCS Mondino Foundation, 27100 Pavia, Italy
| | - Fabio Blandini
- Unit of Cellular and Molecular Neurobiology, IRCCS Mondino Foundation, 27100 Pavia, Italy; Department of Brain and Behavioral Sciences, University of Pavia, 27100 Pavia, Italy.
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34
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Dorcet G, Benaiteau M, Pariente J, Ory‐Magne F, Cheuret E, Rafiq M, Brooks W, Puissant‐Lubrano B, Fortenfant F, Renaudineau Y, Bost C. Cerebrospinal fluid YKL-40 level evolution is associated with autoimmune encephalitis remission. Clin Transl Immunology 2023; 12:e1439. [PMID: 36938371 PMCID: PMC10015376 DOI: 10.1002/cti2.1439] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Revised: 09/06/2022] [Accepted: 02/04/2023] [Indexed: 03/17/2023] Open
Abstract
Objective Because of its heterogeneity in clinical presentation and course, predicting autoimmune encephalitis (AIE) evolution remains challenging. Hence, our aim was to explore the correlation of several biomarkers with the clinical course of disease. Methods Thirty-seven cases of AIE were selected retrospectively and divided into active (N = 9), improved (N = 12) and remission (N = 16) AIE according to their disease evolution. Nine proteins were tested in both serum and cerebrospinal fluid (CSF) at diagnosis (T0) and during the follow-up (T1), in particular activated MMP-9 (MMP-9A) and YKL-40 (or chitinase 3-like 1). Results From diagnosis to revaluation, AIE remission was associated with decreased YKL-40 and MMP-9A levels in the CSF, and with decreased NfL and NfH levels in the serum. The changes in YKL-40 concentrations in the CSF were associated with (1) still active AIE when increasing >10% (P-value = 0.0093); (2) partial improvement or remission when the changes were between +9% and -20% (P-value = 0.0173); and remission with a reduction > -20% (P-value = 0.0072; overall difference between the three groups: P-value = 0.0088). At T1, the CSF YKL-40 levels were significantly decreased between active and improved as well as improved and remission AIE groups but with no calculable threshold because of patient heterogeneity. Conclusion The concentration of YKL-40, a cytokine-like proinflammatory protein produced by glial cells, is correlated in the CSF with the clinical course of AIE. Its introduction as a biomarker may assist in following disease activity and in evaluating therapeutic response.
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Affiliation(s)
- Guillaume Dorcet
- Département de NeurologieHôpital Pierre Paul Riquet, CHU de ToulouseToulouseFrance
- Laboratoire d'ImmunologieInstitut Fédératif de Biologie, CHU de ToulouseToulouseFrance
- INSERM, INFINITyToulouseFrance
| | - Marie Benaiteau
- Département de NeurologieHôpital Pierre Paul Riquet, CHU de ToulouseToulouseFrance
| | - Jérémie Pariente
- Département de NeurologieHôpital Pierre Paul Riquet, CHU de ToulouseToulouseFrance
- INSERM, ToNICToulouseFrance
| | - Fabienne Ory‐Magne
- Département de NeurologieHôpital Pierre Paul Riquet, CHU de ToulouseToulouseFrance
| | - Emmanuel Cheuret
- Unité Pédiatrique Neuro‐céphaliqueHôpital des Enfants, CHU de ToulouseToulouseFrance
| | - Marie Rafiq
- Département de NeurologieHôpital Pierre Paul Riquet, CHU de ToulouseToulouseFrance
- INSERM, ToNICToulouseFrance
| | - Wesley Brooks
- Department of ChemistryUniversity of South FloridaTampaFLUSA
| | - Bénédicte Puissant‐Lubrano
- Laboratoire d'ImmunologieInstitut Fédératif de Biologie, CHU de ToulouseToulouseFrance
- INSERM, INFINITyToulouseFrance
| | - Françoise Fortenfant
- Laboratoire d'ImmunologieInstitut Fédératif de Biologie, CHU de ToulouseToulouseFrance
| | - Yves Renaudineau
- Laboratoire d'ImmunologieInstitut Fédératif de Biologie, CHU de ToulouseToulouseFrance
- INSERM, INFINITyToulouseFrance
| | - Chloé Bost
- Laboratoire d'ImmunologieInstitut Fédératif de Biologie, CHU de ToulouseToulouseFrance
- INSERM, INFINITyToulouseFrance
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35
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Winchester L, Barber I, Lawton M, Ash J, Liu B, Evetts S, Hopkins-Jones L, Lewis S, Bresner C, Malpartida AB, Williams N, Gentlemen S, Wade-Martins R, Ryan B, Holgado-Nevado A, Hu M, Ben-Shlomo Y, Grosset D, Lovestone S. Identification of a possible proteomic biomarker in Parkinson's disease: discovery and replication in blood, brain and cerebrospinal fluid. Brain Commun 2023; 5:fcac343. [PMID: 36694577 PMCID: PMC9856276 DOI: 10.1093/braincomms/fcac343] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Revised: 09/27/2022] [Accepted: 12/27/2022] [Indexed: 12/29/2022] Open
Abstract
Biomarkers to aid diagnosis and delineate the progression of Parkinson's disease are vital for targeting treatment in the early phases of the disease. Here, we aim to discover a multi-protein panel representative of Parkinson's and make mechanistic inferences from protein expression profiles within the broader objective of finding novel biomarkers. We used aptamer-based technology (SomaLogic®) to measure proteins in 1599 serum samples, 85 cerebrospinal fluid samples and 37 brain tissue samples collected from two observational longitudinal cohorts (the Oxford Parkinson's Disease Centre and Tracking Parkinson's) and the Parkinson's Disease Brain Bank, respectively. Random forest machine learning was performed to discover new proteins related to disease status and generate multi-protein expression signatures with potential novel biomarkers. Differential regulation analysis and pathway analysis were performed to identify functional and mechanistic disease associations. The most consistent diagnostic classifier signature was tested across modalities [cerebrospinal fluid (area under curve) = 0.74, P = 0.0009; brain area under curve = 0.75, P = 0.006; serum area under curve = 0.66, P = 0.0002]. Focusing on serum samples and using only those with severe disease compared with controls increased the area under curve to 0.72 (P = 1.0 × 10-4). In the validation data set, we showed that the same classifiers were significantly related to disease status (P < 0.001). Differential expression analysis and weighted gene correlation network analysis highlighted key proteins and pathways with known relationships to Parkinson's. Proteins from the complement and coagulation cascades suggest a disease relationship to immune response. The combined analytical approaches in a relatively large number of samples, across tissue types, with replication and validation, provide mechanistic insights into the disease as well as nominate a protein signature classifier that deserves further biomarker evaluation.
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Affiliation(s)
- Laura Winchester
- Department of Psychiatry, University of Oxford, Oxford OX3 7JX, UK
| | - Imelda Barber
- Department of Psychiatry, University of Oxford, Oxford OX3 7JX, UK
| | - Michael Lawton
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Jessica Ash
- Department of Psychiatry, University of Oxford, Oxford OX3 7JX, UK
| | - Benjamine Liu
- Department of Psychiatry, University of Oxford, Oxford OX3 7JX, UK
| | - Samuel Evetts
- Oxford Parkinson's Disease Centre and Division of Neurology, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Lucinda Hopkins-Jones
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, Wales, UK
| | - Suppalak Lewis
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, Wales, UK
| | - Catherine Bresner
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, Wales, UK
| | - Ana Belen Malpartida
- Oxford Parkinson's Disease Centre, Kavli Institute for Nanoscience Discovery, Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, UK
| | - Nigel Williams
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, Wales, UK
| | - Steve Gentlemen
- Department of Brain Sciences, Imperial College London, London, UK
| | - Richard Wade-Martins
- Oxford Parkinson's Disease Centre, Kavli Institute for Nanoscience Discovery, Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, UK
| | - Brent Ryan
- Oxford Parkinson's Disease Centre, Kavli Institute for Nanoscience Discovery, Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, UK
| | | | - Michele Hu
- Oxford Parkinson's Disease Centre and Division of Neurology, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Yoav Ben-Shlomo
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Donald Grosset
- Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, UK
| | - Simon Lovestone
- Department of Psychiatry, University of Oxford, Oxford OX3 7JX, UK
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Schindler P, Aktas O, Ringelstein M, Wildemann B, Jarius S, Paul F, Ruprecht K. Glial fibrillary acidic protein as a biomarker in neuromyelitis optica spectrum disorder: a current review. Expert Rev Clin Immunol 2023; 19:71-91. [PMID: 36378751 DOI: 10.1080/1744666x.2023.2148657] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
INTRODUCTION Neuromyelitis optica spectrum disorder (NMOSD) is a relapsing, often debilitating neuroinflammatory disease, whose predominant clinical manifestations are longitudinally extensive transverse myelitis and optic neuritis. About 80% of the patients with an NMOSD phenotype have pathogenic autoantibodies against the astrocyte water channel aquaporin-4 (AQP4-IgG). While therapeutic options for NMOSD have greatly expanded in recent years, well-established biomarkers for prognosis or treatment response are still lacking. Glial fibrillary acidic protein (GFAP) is mainly expressed in astrocytes and can be detected in cerebrospinal fluid (CSF) and blood of patients with NMOSD. AREAS COVERED Here, we comprehensively review the current knowledge on GFAP as a biomarker in NMOSD. EXPERT OPINION In patients with AQP4-IgG+ NMOSD, GFAP levels are elevated in CSF and serum during acute attacks and correlate with disability, consistent with the pathophysiology of this antibody-mediated astrocytopathy. Serum GFAP levels tend to be higher in AQP4-IgG+ NMOSD than in its differential diagnoses, multiple sclerosis, and myelin oligodendrocyte antibody-associated disease. Importantly, serum GFAP levels in AQP4-IgG+ NMOSD during remission may be predictive of future disease activity. Serial serum GFAP measurements are emerging as a biomarker to monitor disease activity in AQP4-IgG+ NMOSD and could have the potential for application in clinical practice.
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Affiliation(s)
- Patrick Schindler
- Experimental and Clinical Research Center, A Cooperation between the Max Delbrück Center for Molecular Medicine in the Helmholtz Association and the Charité Universitätsmedizin Berlin, Berlin, Germany.,Department of Neurology, Charité Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.,Max-Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
| | - Orhan Aktas
- Department of Neurology, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Marius Ringelstein
- Department of Neurology, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany.,Department of Neurology, Center for Neurology and Neuropsychiatry, LVR-Klinikum, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Brigitte Wildemann
- Molecular Neuroimmunology Group, Department of Neurology, University of Heidelberg, Heidelberg, Germany
| | - Sven Jarius
- Molecular Neuroimmunology Group, Department of Neurology, University of Heidelberg, Heidelberg, Germany
| | - Friedemann Paul
- Experimental and Clinical Research Center, A Cooperation between the Max Delbrück Center for Molecular Medicine in the Helmholtz Association and the Charité Universitätsmedizin Berlin, Berlin, Germany.,Department of Neurology, Charité Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.,Max-Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
| | - Klemens Ruprecht
- Department of Neurology, Charité Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
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Madetko-Alster N, Alster P, Migda B, Nieciecki M, Koziorowski D, Królicki L. The Use of Cerebellar Hypoperfusion Assessment in the Differential Diagnosis of Multiple System Atrophy with Parkinsonism and Progressive Supranuclear Palsy-Parkinsonism Predominant. Diagnostics (Basel) 2022; 12:diagnostics12123022. [PMID: 36553028 PMCID: PMC9776891 DOI: 10.3390/diagnostics12123022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 11/21/2022] [Accepted: 11/29/2022] [Indexed: 12/05/2022] Open
Abstract
The differential diagnosis of MSA-P and PSP-P remains a difficult issue in clinical practice due to their overlapping clinical manifestation and the lack of tools enabling a definite diagnosis ante-mortem. This paper describes the usefulness of SPECT HMPAO in MSA-P and PSP-P differentiation through the analysis of cerebellar perfusion of small ROIs. Thirty-one patients were included in the study—20 with MSA-P and 11 with PSP-P; the analysis performed indicated that the most significant difference in perfusion was observed in the anterior quadrangular lobule (H IV and V) on the left side (p < 0.0026). High differences in the median perfusion between the groups were also observed in a few other regions, with p < 0.05, but higher than premised p = 0.0026 (the Bonferroni correction was used in the statistical analysis). The assessment of the perfusion may be interpreted as a promising method of additional examination of atypical parkinsonisms with overlapping clinical manifestation, as in the case of PSP-P and MSA-P. The results obtained suggest that the interpretation of the differences in perfusion of the cerebellum should be made by evaluating the subregions of the cerebellum rather than the hemispheres. Further research is required.
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Affiliation(s)
- Natalia Madetko-Alster
- Department of Neurology, Medical University of Warsaw, Kondratowicza 8, 03-242 Warsaw, Poland
- Correspondence:
| | - Piotr Alster
- Department of Neurology, Medical University of Warsaw, Kondratowicza 8, 03-242 Warsaw, Poland
| | - Bartosz Migda
- Diagnostic Ultrasound Lab, Department of Pediatric Radiology, Medical University of Warsaw, ul. Kondratowicza 8, 03-242 Warsaw, Poland
| | - Michał Nieciecki
- Department of Radiology, National Institute of Geriatrics, Rheumatology and Rehabilitation, st. Spartańska 1, 02-637 Warsaw, Poland
| | - Dariusz Koziorowski
- Department of Neurology, Medical University of Warsaw, Kondratowicza 8, 03-242 Warsaw, Poland
| | - Leszek Królicki
- Department of Nuclear Medicine, Medical University of Warsaw, ul. Banacha 1a, 02-097 Warsaw, Poland
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Santos F, Cabreira V, Rocha S, Massano J. Blood Biomarkers for the Diagnosis of Neurodegenerative Dementia: A Systematic Review. J Geriatr Psychiatry Neurol 2022:8919887221141651. [PMID: 36423207 DOI: 10.1177/08919887221141651] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
IMPORTANCE Accurately diagnosing neurodegenerative dementia is often challenging due to overlapping clinical features. Disease specific biomarkers could enhance diagnostic accuracy. However, CSF analysis procedures and advanced imaging modalities are either invasive or high-priced, and routinely unavailable. Easily accessible disease biomarkers would be of utmost value for accurate differential diagnosis of dementia subtypes. OBJECTIVE To assess the diagnostic accuracy of blood-based biomarkers for the differential diagnosis of AD from Frontotemporal Lobar Degeneration (FTLD), or AD from Dementia with Lewy Bodies (DLB). METHODS Systematic review. Three databases (PubMed, Scopus, and Web of Science) were searched. Studies assessing blood-based biomarkers levels in AD versus FTLD, or AD versus DLB, and its diagnostic accuracy, were selected. When the same biomarker was assessed in three or more studies, a meta-analysis was performed. QUADAS-2 criteria were used for quality assessment. RESULTS Twenty studies were included in this analysis. Collectively, 905 AD patients were compared to 1262 FTLD patients, and 209 AD patients were compared to 246 DLB patients. Regarding biomarkers for AD versus FTLD, excellent discriminative accuracy (AUC >0.9) was found for p-tau181, p-tau217, synaptophysin, synaptopodin, GAP43 and calmodulin. Other biomarkers also demonstrated good accuracy (AUC = 0.8-0.9). For AD versus DLB distinction, only miR-21-5p and miR-451a achieved excellent accuracy (AUC >0.9). CONCLUSION Encouraging results were found for several biomarkers, alone or in combination. Prospective longitudinal designs and consensual protocols, comprising larger cohorts and homogeneous testing modalities across centres, are essential to validate the clinical value of blood biomarkers for the precise etiological diagnosis of dementia.
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Affiliation(s)
- Filipa Santos
- Department of Clinical Neurosciences and Mental Health, 26705Faculty of Medicine University of Porto, Porto, Portugal
| | - Verónica Cabreira
- Department of Clinical Neurosciences and Mental Health, 26705Faculty of Medicine University of Porto, Porto, Portugal.,Department of Neurology, 285211Centro Hospitalar Universitário de São João, Porto, Portugal
| | - Sara Rocha
- iLoF - Intelligent Lab on Fiber, Oxford, UK.,Department of Biochemistry, 26705Faculty of Medicine University of Porto, Porto, Portugal
| | - João Massano
- Department of Clinical Neurosciences and Mental Health, 26705Faculty of Medicine University of Porto, Porto, Portugal.,Department of Neurology, 285211Centro Hospitalar Universitário de São João, Porto, Portugal
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Ferrari-Souza JP, Ferreira PCL, Bellaver B, Tissot C, Wang YT, Leffa DT, Brum WS, Benedet AL, Ashton NJ, De Bastiani MA, Rocha A, Therriault J, Lussier FZ, Chamoun M, Servaes S, Bezgin G, Kang MS, Stevenson J, Rahmouni N, Pallen V, Poltronetti NM, Klunk WE, Tudorascu DL, Cohen AD, Villemagne VL, Gauthier S, Blennow K, Zetterberg H, Souza DO, Karikari TK, Zimmer ER, Rosa-Neto P, Pascoal TA. Astrocyte biomarker signatures of amyloid-β and tau pathologies in Alzheimer's disease. Mol Psychiatry 2022; 27:4781-4789. [PMID: 35948658 PMCID: PMC9734046 DOI: 10.1038/s41380-022-01716-2] [Citation(s) in RCA: 33] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Revised: 07/15/2022] [Accepted: 07/20/2022] [Indexed: 01/07/2023]
Abstract
Astrocytes can adopt multiple molecular phenotypes in the brain of Alzheimer's disease (AD) patients. Here, we studied the associations of cerebrospinal fluid (CSF) glial fibrillary acidic protein (GFAP) and chitinase-3-like protein 1 (YKL-40) levels with brain amyloid-β (Aβ) and tau pathologies. We assessed 121 individuals across the aging and AD clinical spectrum with positron emission tomography (PET) brain imaging for Aβ ([18F]AZD4694) and tau ([18F]MK-6240), as well as CSF GFAP and YKL-40 measures. We observed that higher CSF GFAP levels were associated with elevated Aβ-PET but not tau-PET load. By contrast, higher CSF YKL-40 levels were associated with elevated tau-PET but not Aβ-PET burden. Structural equation modeling revealed that CSF GFAP and YKL-40 mediate the effects of Aβ and tau, respectively, on hippocampal atrophy, which was further associated with cognitive impairment. Our results suggest the existence of distinct astrocyte biomarker signatures in response to brain Aβ and tau accumulation, which may contribute to our understanding of the complex link between reactive astrogliosis heterogeneity and AD progression.
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Affiliation(s)
- João Pedro Ferrari-Souza
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.,Graduate Program in Biological Sciences: Biochemistry, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | | | - Bruna Bellaver
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Cécile Tissot
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.,Translational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Alzheimer's Disease Research Unit, Douglas Research Institute, Le Centre intégré universitaire de santé et de services sociaux (CIUSSS) de l'Ouest-de-l'Île-de-Montréal; Department of Neurology and Neurosurgery, Psychiatry and Pharmacology and Therapeutics, McGill University, Montreal, QC, Canada
| | - Yi-Ting Wang
- Translational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Alzheimer's Disease Research Unit, Douglas Research Institute, Le Centre intégré universitaire de santé et de services sociaux (CIUSSS) de l'Ouest-de-l'Île-de-Montréal; Department of Neurology and Neurosurgery, Psychiatry and Pharmacology and Therapeutics, McGill University, Montreal, QC, Canada
| | - Douglas T Leffa
- ADHD Outpatient Program & Development Psychiatry Program, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil
| | - Wagner S Brum
- Graduate Program in Biological Sciences: Biochemistry, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil.,Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Andréa L Benedet
- Translational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Alzheimer's Disease Research Unit, Douglas Research Institute, Le Centre intégré universitaire de santé et de services sociaux (CIUSSS) de l'Ouest-de-l'Île-de-Montréal; Department of Neurology and Neurosurgery, Psychiatry and Pharmacology and Therapeutics, McGill University, Montreal, QC, Canada.,Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Nicholas J Ashton
- Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Gothenburg, Sweden.,Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, Sweden.,Department of Old Age Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Marco Antônio De Bastiani
- Graduate Program in Biological Sciences: Biochemistry, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Andréia Rocha
- Graduate Program in Biological Sciences: Biochemistry, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Joseph Therriault
- Translational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Alzheimer's Disease Research Unit, Douglas Research Institute, Le Centre intégré universitaire de santé et de services sociaux (CIUSSS) de l'Ouest-de-l'Île-de-Montréal; Department of Neurology and Neurosurgery, Psychiatry and Pharmacology and Therapeutics, McGill University, Montreal, QC, Canada
| | - Firoza Z Lussier
- Translational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Alzheimer's Disease Research Unit, Douglas Research Institute, Le Centre intégré universitaire de santé et de services sociaux (CIUSSS) de l'Ouest-de-l'Île-de-Montréal; Department of Neurology and Neurosurgery, Psychiatry and Pharmacology and Therapeutics, McGill University, Montreal, QC, Canada
| | - Mira Chamoun
- Translational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Alzheimer's Disease Research Unit, Douglas Research Institute, Le Centre intégré universitaire de santé et de services sociaux (CIUSSS) de l'Ouest-de-l'Île-de-Montréal; Department of Neurology and Neurosurgery, Psychiatry and Pharmacology and Therapeutics, McGill University, Montreal, QC, Canada
| | - Stijn Servaes
- Translational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Alzheimer's Disease Research Unit, Douglas Research Institute, Le Centre intégré universitaire de santé et de services sociaux (CIUSSS) de l'Ouest-de-l'Île-de-Montréal; Department of Neurology and Neurosurgery, Psychiatry and Pharmacology and Therapeutics, McGill University, Montreal, QC, Canada
| | - Gleb Bezgin
- Translational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Alzheimer's Disease Research Unit, Douglas Research Institute, Le Centre intégré universitaire de santé et de services sociaux (CIUSSS) de l'Ouest-de-l'Île-de-Montréal; Department of Neurology and Neurosurgery, Psychiatry and Pharmacology and Therapeutics, McGill University, Montreal, QC, Canada
| | - Min Su Kang
- Translational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Alzheimer's Disease Research Unit, Douglas Research Institute, Le Centre intégré universitaire de santé et de services sociaux (CIUSSS) de l'Ouest-de-l'Île-de-Montréal; Department of Neurology and Neurosurgery, Psychiatry and Pharmacology and Therapeutics, McGill University, Montreal, QC, Canada
| | - Jenna Stevenson
- Translational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Alzheimer's Disease Research Unit, Douglas Research Institute, Le Centre intégré universitaire de santé et de services sociaux (CIUSSS) de l'Ouest-de-l'Île-de-Montréal; Department of Neurology and Neurosurgery, Psychiatry and Pharmacology and Therapeutics, McGill University, Montreal, QC, Canada
| | - Nesrine Rahmouni
- Translational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Alzheimer's Disease Research Unit, Douglas Research Institute, Le Centre intégré universitaire de santé et de services sociaux (CIUSSS) de l'Ouest-de-l'Île-de-Montréal; Department of Neurology and Neurosurgery, Psychiatry and Pharmacology and Therapeutics, McGill University, Montreal, QC, Canada
| | - Vanessa Pallen
- Translational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Alzheimer's Disease Research Unit, Douglas Research Institute, Le Centre intégré universitaire de santé et de services sociaux (CIUSSS) de l'Ouest-de-l'Île-de-Montréal; Department of Neurology and Neurosurgery, Psychiatry and Pharmacology and Therapeutics, McGill University, Montreal, QC, Canada
| | - Nina Margherita Poltronetti
- Translational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Alzheimer's Disease Research Unit, Douglas Research Institute, Le Centre intégré universitaire de santé et de services sociaux (CIUSSS) de l'Ouest-de-l'Île-de-Montréal; Department of Neurology and Neurosurgery, Psychiatry and Pharmacology and Therapeutics, McGill University, Montreal, QC, Canada
| | - William E Klunk
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Dana L Tudorascu
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Ann D Cohen
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | | | - Serge Gauthier
- Translational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Alzheimer's Disease Research Unit, Douglas Research Institute, Le Centre intégré universitaire de santé et de services sociaux (CIUSSS) de l'Ouest-de-l'Île-de-Montréal; Department of Neurology and Neurosurgery, Psychiatry and Pharmacology and Therapeutics, McGill University, Montreal, QC, Canada
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Gothenburg, Sweden.,Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK.,UK Dementia Research Institute at UCL, London, UK.,Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
| | - Diogo O Souza
- Graduate Program in Biological Sciences: Biochemistry, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Thomas K Karikari
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.,Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Eduardo R Zimmer
- Graduate Program in Biological Sciences: Biochemistry, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil.,Department of Pharmacology, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil.,Graduate Program in Biological Sciences: Pharmacology and Therapeuctis, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Pedro Rosa-Neto
- Translational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Alzheimer's Disease Research Unit, Douglas Research Institute, Le Centre intégré universitaire de santé et de services sociaux (CIUSSS) de l'Ouest-de-l'Île-de-Montréal; Department of Neurology and Neurosurgery, Psychiatry and Pharmacology and Therapeutics, McGill University, Montreal, QC, Canada
| | - Tharick A Pascoal
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.
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CSF α-Synuclein and Tau as Biomarkers for Dementia With Lewy Bodies: A Systematic Review and Meta-analysis. Alzheimer Dis Assoc Disord 2022; 36:368-373. [PMID: 36183420 DOI: 10.1097/wad.0000000000000516] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2021] [Accepted: 04/30/2022] [Indexed: 01/27/2023]
Abstract
OBJECTIVE This study investigated whether α-synuclein and tau in cerebrospinal fluid (CSF) can be used as biomarkers to diagnose dementia with Lewy bodies (DLB). MATERIALS AND METHODS We retrieved 3303 studies with "Dementia with Lewy bodies," "α-synuclein," and "tau" as keywords. We formulated screening criteria, and 2 researchers completed the screening, quality evaluation, and data extraction tasks. Finally, 35 studies related to tau, and 14 studies related to α-synuclein were included. Review Manager 5.4 and Stata16 were used for meta-analysis. Subgroup, sensitivity, and meta-regression analyses were performed to identify sources of heterogeneity and strengthen the results. RESULTS Compared with the control group, DLB patients showed significantly higher CSF levels of tau [weighted mean difference=81.36 (59.82, 102.91); Z =7.40; P <0.00001], and lower CSF levels of α-synuclein [weighted mean difference=-95.25 (-162.02, -28.48); Z =2.80; P =0.005]. Mini-Mental State Examination (MMSE) score, male ratio, and disease duration were not sources of heterogeneity on subgroup and meta-regression analyses. Sensitivity analysis revealed no significant differences. CONCLUSIONS Higher levels of tau and lower levels of α-synuclein were found in the CSF of patients with DLB compared with the control group. Therefore, CSF tau and α-synuclein levels may be diagnostic biomarkers for DLB.
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41
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Opportunities and challenges of alpha-synuclein as a potential biomarker for Parkinson's disease and other synucleinopathies. NPJ Parkinsons Dis 2022; 8:93. [PMID: 35869066 PMCID: PMC9307631 DOI: 10.1038/s41531-022-00357-0] [Citation(s) in RCA: 37] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Accepted: 06/24/2022] [Indexed: 02/07/2023] Open
Abstract
Parkinson’s disease (PD), the second most common progressive neurodegenerative disease, develops and progresses for 10–15 years before the clinical diagnostic symptoms of the disease are manifested. Furthermore, several aspects of PD pathology overlap with other neurodegenerative diseases (NDDs) linked to alpha-synuclein (aSyn) aggregation, also called synucleinopathies. Therefore, there is an urgent need to discover and validate early diagnostic and prognostic markers that reflect disease pathophysiology, progression, severity, and potential differences in disease mechanisms between PD and other NDDs. The close association between aSyn and the development of pathology in synucleinopathies, along with the identification of aSyn species in biological fluids, has led to increasing interest in aSyn species as potential biomarkers for early diagnosis of PD and differentiate it from other synucleinopathies. In this review, we (1) provide an overview of the progress toward mapping the distribution of aSyn species in the brain, peripheral tissues, and biological fluids; (2) present comparative and critical analysis of previous studies that measured total aSyn as well as other species such as modified and aggregated forms of aSyn in different biological fluids; and (3) highlight conceptual and technical gaps and challenges that could hinder the development and validation of reliable aSyn biomarkers; and (4) outline a series of recommendations to address these challenges. Finally, we propose a combined biomarker approach based on integrating biochemical, aggregation and structure features of aSyn, in addition to other biomarkers of neurodegeneration. We believe that capturing the diversity of aSyn species is essential to develop robust assays and diagnostics for early detection, patient stratification, monitoring of disease progression, and differentiation between synucleinopathies. This could transform clinical trial design and implementation, accelerate the development of new therapies, and improve clinical decisions and treatment strategies.
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Ganne A, Balasubramaniam M, Griffin WST, Shmookler Reis RJ, Ayyadevara S. Glial Fibrillary Acidic Protein: A Biomarker and Drug Target for Alzheimer’s Disease. Pharmaceutics 2022; 14:pharmaceutics14071354. [PMID: 35890250 PMCID: PMC9322874 DOI: 10.3390/pharmaceutics14071354] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2022] [Revised: 06/21/2022] [Accepted: 06/22/2022] [Indexed: 02/05/2023] Open
Abstract
Glial fibrillary acidic protein (GFAP) is an intermediate filament structural protein involved in cytoskeleton assembly and integrity, expressed in high abundance in activated glial cells. GFAP is neuroprotective, as knockout mice are hypersensitive to traumatic brain injury. GFAP in cerebrospinal fluid is a biomarker of Alzheimer’s disease (AD), dementia with Lewy bodies, and frontotemporal dementia (FTD). Here, we present novel evidence that GFAP is markedly overexpressed and differentially phosphorylated in AD hippocampus, especially in AD with the apolipoprotein E [ε4, ε4] genotype, relative to age-matched controls (AMCs). Kinases that phosphorylate GFAP are upregulated in AD relative to AMC. A knockdown of these kinases in SH-SY5Y-APPSw human neuroblastoma cells reduced amyloid accrual and lowered protein aggregation and associated behavioral traits in C. elegans models of polyglutamine aggregation (as observed in Huntington’s disease) and of Alzheimer’s-like amyloid formation. In silico screening of the ChemBridge structural library identified a small molecule, MSR1, with stable and specific binding to GFAP. Both MSR1 exposure and GF AP-specific RNAi knockdown reduce aggregation with remarkably high concordance of aggregate proteins depleted. These data imply that GFAP and its phosphorylation play key roles in neuropathic aggregate accrual and provide valuable new biomarkers, as well as novel therapeutic targets to alleviate, delay, or prevent AD.
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Affiliation(s)
- Akshatha Ganne
- Central Arkansas Veterans Healthcare Service, Little Rock, AR 72205, USA; (A.G.); (M.B.); (W.S.T.G.)
- Department of Geriatrics, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
| | | | - W. Sue T. Griffin
- Central Arkansas Veterans Healthcare Service, Little Rock, AR 72205, USA; (A.G.); (M.B.); (W.S.T.G.)
- BioInformatics Program, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
| | - Robert J. Shmookler Reis
- Central Arkansas Veterans Healthcare Service, Little Rock, AR 72205, USA; (A.G.); (M.B.); (W.S.T.G.)
- Department of Geriatrics, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
- BioInformatics Program, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
- Department of Biochemistry & Molecular Biology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
- Correspondence: (R.J.S.R.); (S.A.); Tel.: +1-501-526-5820 (R.J.S.R.); +1-501-526-7282 (S.A.)
| | - Srinivas Ayyadevara
- Central Arkansas Veterans Healthcare Service, Little Rock, AR 72205, USA; (A.G.); (M.B.); (W.S.T.G.)
- Department of Geriatrics, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
- BioInformatics Program, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
- Correspondence: (R.J.S.R.); (S.A.); Tel.: +1-501-526-5820 (R.J.S.R.); +1-501-526-7282 (S.A.)
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Zubelzu M, Morera-Herreras T, Irastorza G, Gómez-Esteban JC, Murueta-Goyena A. Plasma and serum alpha-synuclein as a biomarker in Parkinson's disease: A meta-analysis. Parkinsonism Relat Disord 2022; 99:107-115. [PMID: 35717321 DOI: 10.1016/j.parkreldis.2022.06.001] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 05/18/2022] [Accepted: 06/01/2022] [Indexed: 10/18/2022]
Abstract
BACKGROUND Reliable biomarkers for Parkinson's disease (PD) diagnosis are urgently needed. Alpha-synuclein (α-syn) and its proteoforms play a key role in PD pathology but in vivo measurements have raised conflicting results, and whether α-syn in blood could distinguish PD patients from healthy controls is still controversial. METHODS A systematic literature search yielded 35 eligible studies for meta-analysis reporting the concentration of total, oligomeric or phosphorylated α-syn in plasma and/or serum of PD patients and healthy controls. Standardized mean differences (SMD) were pooled using multivariate/multilevel linear mixed-effects models. Meta-regression analyses were conducted to investigate possible modifiers. RESULTS A meta-analysis of 32 articles involving 2683 PD patients and 1838 controls showed a significant overall effect of PD on total α-syn levels (SMD = 0.85, p = 0.004). Meta-regression showed that increased SMD of total α-syn in PD was significantly associated with lower age, shorter disease duration, mild motor impairment, and Immunomagnetic Reduction assay for protein quantification. In contrast, no significant differences were observed for oligomeric or phosphorylated α-syn between PD and controls but increased oligomeric α-syn was significantly associated with shorter disease duration. The heterogeneity among studies was high (>98%). CONCLUSIONS These findings suggest that increased total plasma/serum α-syn levels in PD primarily occur in early phases of the disease. The evidence obtained from a small number of studies measuring plasma/serum concentrations of oligomeric and phosphorylated species of α-syn shows no difference. The clinical applicability of measuring plasma or serum α-syn species for differentiating PD from healthy control warrants further studies with better clinical profiling of PD patients.
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Affiliation(s)
- Maider Zubelzu
- Department of Pharmacology, University of the Basque Country (UPV/EHU), Leioa, Bizkaia, Spain; Neurodegenerative Diseases Group, Biocruces Bizkaia Health Research Institute, Barakaldo, Bizkaia, Spain
| | - Teresa Morera-Herreras
- Department of Pharmacology, University of the Basque Country (UPV/EHU), Leioa, Bizkaia, Spain; Neurodegenerative Diseases Group, Biocruces Bizkaia Health Research Institute, Barakaldo, Bizkaia, Spain.
| | - Gorka Irastorza
- Department of Pharmacology, University of the Basque Country (UPV/EHU), Leioa, Bizkaia, Spain
| | - Juan Carlos Gómez-Esteban
- Neurodegenerative Diseases Group, Biocruces Bizkaia Health Research Institute, Barakaldo, Bizkaia, Spain; Department of Neurosciences, University of the Basque Country (UPV/EHU), Leioa, Bizkaia, Spain; Department of Neurology, Cruces University Hospital, Osakidetza, Barakaldo, Bizkaia, Spain
| | - Ane Murueta-Goyena
- Neurodegenerative Diseases Group, Biocruces Bizkaia Health Research Institute, Barakaldo, Bizkaia, Spain; Department of Neurosciences, University of the Basque Country (UPV/EHU), Leioa, Bizkaia, Spain
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Serum glial fibrillary acidic protein is a body fluid biomarker: A valuable prognostic for neurological disease – A systematic review. Int Immunopharmacol 2022; 107:108624. [DOI: 10.1016/j.intimp.2022.108624] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2021] [Revised: 01/28/2022] [Accepted: 02/10/2022] [Indexed: 12/14/2022]
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Metabolites and Biomarker Compounds of Neurodegenerative Diseases in Cerebrospinal Fluid. Metabolites 2022; 12:metabo12040343. [PMID: 35448530 PMCID: PMC9031591 DOI: 10.3390/metabo12040343] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 03/29/2022] [Accepted: 04/11/2022] [Indexed: 12/25/2022] Open
Abstract
Despite recent advances in diagnostic procedures for neurological disorders, it is still difficult to definitively diagnose some neurodegenerative diseases without neuropathological examination of autopsied brain tissue. As pathological processes in the brain are frequently reflected in the components of cerebrospinal fluid (CSF), CSF samples are sometimes useful for diagnosis. After CSF is secreted from the choroid plexus epithelial cells in the ventricles, some flows in the brain, some is mixed with intracerebral interstitial fluid, and some is excreted through two major drainage pathways, i.e., the intravascular periarterial drainage pathway and the glymphatic system. Accordingly, substances produced by metabolic and pathological processes in the brain may be detectable in CSF. Many papers have reported changes in the concentration of substances in the CSF of patients with metabolic and neurological disorders, some of which can be useful biomarkers of the disorders. In this paper, we show the significance of glucose- and neurotransmitter-related CSF metabolites, considering their transporters in the choroid plexus; summarize the reported candidates of CSF biomarkers for neurodegenerative diseases, including amyloid-β, tau, α-synuclein, microRNAs, and mitochondrial DNA; and evaluate their potential as efficient diagnostic tools.
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Huang S, Wang YJ, Guo J. Biofluid Biomarkers of Alzheimer’s Disease: Progress, Problems, and Perspectives. Neurosci Bull 2022; 38:677-691. [PMID: 35306613 PMCID: PMC9206048 DOI: 10.1007/s12264-022-00836-7] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Accepted: 11/25/2021] [Indexed: 12/19/2022] Open
Abstract
Since the establishment of the biomarker-based A-T-N (Amyloid/Tau/Neurodegeneration) framework in Alzheimer’s disease (AD), the diagnosis of AD has become more precise, and cerebrospinal fluid tests and positron emission tomography examinations based on this framework have become widely accepted. However, the A-T-N framework does not encompass the whole spectrum of AD pathologies, and problems with invasiveness and high cost limit the application of the above diagnostic methods aimed at the central nervous system. Therefore, we suggest the addition of an “X” to the A-T-N framework and a focus on peripheral biomarkers in the diagnosis of AD. In this review, we retrospectively describe the recent progress in biomarkers based on the A-T-N-X framework, analyze the problems, and present our perspectives on the diagnosis of AD.
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Ren J, Pan C, Wang Y, Xue C, Lin H, Xu J, Wang H, Zhang W, Xu P, Chen Y, Liu W. Plasma α-synuclein and phosphorylated tau 181 as a diagnostic biomarker panel for de novo Parkinson's Disease. J Neurochem 2022; 161:506-515. [PMID: 35234288 PMCID: PMC9314946 DOI: 10.1111/jnc.15601] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Revised: 02/24/2022] [Accepted: 02/25/2022] [Indexed: 11/30/2022]
Abstract
The use of a diagnostic panel comprising multiple biomarkers has the potential to accurately diagnose Parkinson’s disease (PD). However, a panel consisting solely of plasma biomarkers to diagnose PD is not available. This study aimed to examine the diagnostic ability of plasma biomarker panels for de novo PD using novel digital ultrasensitive immunoassay technology. We recruited 45 patients with de novo PD and 20 healthy controls (HCs). The concentrations of plasma α‐synuclein (α‐syn), amyloid β‐42 (Aβ42), Aβ40, phosphorylated tau 181 (p‐tau181), neurofilament light (NFL), and glial fibrillary acidic protein (GFAP) were quantified using the ultrasensitive single molecule array (Simoa) platform. Patients with de novo PD had higher plasma levels of α‐syn and p‐tau181 than HCs, adjusting for age and sex. Plasma levels of α‐syn and p‐tau181 were positively correlated in de novo PD patients. Higher plasma α‐syn levels were significantly associated with worse Unified Parkinson’s Disease Rating Scale (UPDRS) Part III motor scores, modified Hoehn and Yahr (H‐Y) stages, and increased risk of PD with mild cognitive impairment (PD‐MCI). Higher plasma p‐tau181 concentrations were linked to worse H‐Y stages. The diagnostic panel using plasma α‐syn and p‐tau181, combined with age and sex, showed good performance in discriminating de novo PD patients from HCs (area under the curve = 0.806). These findings suggest that plasma α‐syn and p‐tau181 together may be a promising diagnostic biomarker panel for de novo PD patients.
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Affiliation(s)
- Jingru Ren
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Chenxi Pan
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Yajie Wang
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Chen Xue
- Department of Radiology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Huixia Lin
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Jianxia Xu
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Hui Wang
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Wenbin Zhang
- Department of Neurosurgery, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Pingyi Xu
- Department of Neurology, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yong Chen
- Department of Laboratory, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Weiguo Liu
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
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Kwon EH, Tennagels S, Gold R, Gerwert K, Beyer L, Tönges L. Update on CSF Biomarkers in Parkinson's Disease. Biomolecules 2022; 12:biom12020329. [PMID: 35204829 PMCID: PMC8869235 DOI: 10.3390/biom12020329] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Revised: 02/02/2022] [Accepted: 02/16/2022] [Indexed: 02/07/2023] Open
Abstract
Progress in developing disease-modifying therapies in Parkinson’s disease (PD) can only be achieved through reliable objective markers that help to identify subjects at risk. This includes an early and accurate diagnosis as well as continuous monitoring of disease progression and therapy response. Although PD diagnosis still relies mainly on clinical features, encouragingly, advances in biomarker discovery have been made. The cerebrospinal fluid (CSF) is a biofluid of particular interest to study biomarkers since it is closest to the brain structures and therefore could serve as an ideal source to reflect ongoing pathologic processes. According to the key pathophysiological mechanisms, the CSF status of α-synuclein species, markers of amyloid and tau pathology, neurofilament light chain, lysosomal enzymes and markers of neuroinflammation provide promising preliminary results as candidate biomarkers. Untargeted approaches in the field of metabolomics provide insights into novel and interconnected biological pathways. Markers based on genetic forms of PD can contribute to identifying subgroups suitable for gene-targeted treatment strategies that might also be transferable to sporadic PD. Further validation analyses in large PD cohort studies will identify the CSF biomarker or biomarker combinations with the best value for clinical and research purposes.
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Affiliation(s)
- Eun Hae Kwon
- Department of Neurology, St. Josef-Hospital, Ruhr-University Bochum, D-44791 Bochum, Germany; (E.H.K.); (S.T.); (R.G.)
| | - Sabrina Tennagels
- Department of Neurology, St. Josef-Hospital, Ruhr-University Bochum, D-44791 Bochum, Germany; (E.H.K.); (S.T.); (R.G.)
| | - Ralf Gold
- Department of Neurology, St. Josef-Hospital, Ruhr-University Bochum, D-44791 Bochum, Germany; (E.H.K.); (S.T.); (R.G.)
- Center for Protein Diagnostics (ProDi), Ruhr University Bochum, D-44801 Bochum, Germany; (K.G.); (L.B.)
| | - Klaus Gerwert
- Center for Protein Diagnostics (ProDi), Ruhr University Bochum, D-44801 Bochum, Germany; (K.G.); (L.B.)
- Faculty of Biology and Biotechnology, Department of Biophysics, Ruhr University Bochum, D-44801 Bochum, Germany
| | - Léon Beyer
- Center for Protein Diagnostics (ProDi), Ruhr University Bochum, D-44801 Bochum, Germany; (K.G.); (L.B.)
- Faculty of Biology and Biotechnology, Department of Biophysics, Ruhr University Bochum, D-44801 Bochum, Germany
| | - Lars Tönges
- Department of Neurology, St. Josef-Hospital, Ruhr-University Bochum, D-44791 Bochum, Germany; (E.H.K.); (S.T.); (R.G.)
- Center for Protein Diagnostics (ProDi), Ruhr University Bochum, D-44801 Bochum, Germany; (K.G.); (L.B.)
- Correspondence: ; Tel.: +49-234-509-2420; Fax: +49-234-509-2439
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Rodriguez-Vieitez E, Ashton NJ. Plasma sTREM2: a potential marker of cerebrovascular injury in neurodegenerative disorders. Brain 2021; 144:3283-3285. [PMID: 34672320 PMCID: PMC8677507 DOI: 10.1093/brain/awab399] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2021] [Accepted: 10/16/2021] [Indexed: 11/14/2022] Open
Affiliation(s)
- Elena Rodriguez-Vieitez
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Nicholas J Ashton
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, Sweden.,King's College London, Institute of Psychiatry, Psychology and Neuroscience, Maurice Wohl Clinical Neuroscience Institute, London, UK.,NIHR Biomedical Research Centre for Mental Health and Biomedical Research Unit for Dementia at South London and Maudsley NHS Foundation, London, UK
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