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Horvat S, Kos J, Pišlar A. Multifunctional roles of γ-enolase in the central nervous system: more than a neuronal marker. Cell Biosci 2024; 14:61. [PMID: 38735971 PMCID: PMC11089681 DOI: 10.1186/s13578-024-01240-6] [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: 11/26/2023] [Accepted: 04/27/2024] [Indexed: 05/14/2024] Open
Abstract
Enolase, a multifunctional protein with diverse isoforms, has generally been recognized for its primary roles in glycolysis and gluconeogenesis. The shift in isoform expression from α-enolase to neuron-specific γ-enolase extends beyond its enzymatic role. Enolase is essential for neuronal survival, differentiation, and the maturation of neurons and glial cells in the central nervous system. Neuron-specific γ-enolase is a critical biomarker for neurodegenerative pathologies and neurological conditions, not only indicating disease but also participating in nerve cell formation and neuroprotection and exhibiting neurotrophic-like properties. These properties are precisely regulated by cysteine peptidase cathepsin X and scaffold protein γ1-syntrophin. Our findings suggest that γ-enolase, specifically its C-terminal part, may offer neuroprotective benefits against neurotoxicity seen in Alzheimer's and Parkinson's disease. Furthermore, although the therapeutic potential of γ-enolase seems promising, the effectiveness of enolase inhibitors is under debate. This paper reviews the research on the roles of γ-enolase in the central nervous system, especially in pathophysiological events and the regulation of neurodegenerative diseases.
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Affiliation(s)
- Selena Horvat
- Department of Pharmaceutical Biology, Faculty of Pharmacy, University of Ljubljana, Aškerčeva 7, 1000, Ljubljana, Slovenia
| | - Janko Kos
- Department of Pharmaceutical Biology, Faculty of Pharmacy, University of Ljubljana, Aškerčeva 7, 1000, Ljubljana, Slovenia
- Department of Biotechnology, Jožef Stefan Institute, Jamova Cesta 39, 1000, Ljubljana, Slovenia
| | - Anja Pišlar
- Department of Pharmaceutical Biology, Faculty of Pharmacy, University of Ljubljana, Aškerčeva 7, 1000, Ljubljana, Slovenia.
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2
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Nagao R, Mizutani Y, Shima S, Ueda A, Ito M, Yoshimoto J, Watanabe H. Correlations between serotonin impairments and clinical indices in multiple system atrophy. Eur J Neurol 2024; 31:e16158. [PMID: 38085271 PMCID: PMC11235942 DOI: 10.1111/ene.16158] [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: 06/20/2023] [Revised: 10/30/2023] [Accepted: 11/02/2023] [Indexed: 02/09/2024]
Abstract
BACKGROUND AND PURPOSE Multiple system atrophy (MSA) is a neurodegenerative disease with characteristic motor and autonomic symptoms. Impaired brain serotonergic innervation can be associated with various clinical indices of MSA; however, the relationship between clinical symptoms and cerebrospinal fluid (CSF) levels of 5-hydroxyindole acetic acid (5-HIAA), a main serotonin metabolite, has not been fully elucidated. METHODS To compare CSF 5-HIAA levels between patients with MSA and healthy controls, we included 33 controls and 69 MSA patients with either predominant parkinsonian or cerebellar ataxia subtypes. CSF 5-HIAA levels were measured using high-performance liquid chromatography. Additionally, we investigated correlations between CSF 5-HIAA and various clinical indices in 34 MSA patients. RESULTS CSF 5-HIAA levels were significantly lower in MSA patients than in controls (p < 0.0001). Probable MSA patients had lower CSF 5-HIAA levels than possible MSA patients (p < 0.001). In MSA patients, CSF 5-HIAA levels were inversely correlated with scores in Parts 1, 2, and 4 of the Unified Multiple System Atrophy Rating Scale, and with systolic and diastolic blood pressure in Part 3. Structural equation modeling revealed significant paths between serotonin and clinical symptoms, and significance was highest for activities of daily living, walking, and body sway. CONCLUSIONS Serotonin dysfunction, as assessed by CSF 5-HIAA levels, may implicate greater MSA severity.
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Affiliation(s)
- Ryunosuke Nagao
- Department of NeurologyFujita Health University School of MedicineToyoakeAichiJapan
| | - Yasuaki Mizutani
- Department of NeurologyFujita Health University School of MedicineToyoakeAichiJapan
| | - Sayuri Shima
- Department of NeurologyFujita Health University School of MedicineToyoakeAichiJapan
| | - Akihiro Ueda
- Department of NeurologyFujita Health University School of MedicineToyoakeAichiJapan
| | - Mizuki Ito
- Department of NeurologyFujita Health University School of MedicineToyoakeAichiJapan
| | - Junichiro Yoshimoto
- Department of Biomedical Data ScienceFujita Health University School of MedicineToyoakeAichiJapan
- International Center for Brain ScienceFujita Health UniversityToyoakeAichiJapan
| | - Hirohisa Watanabe
- Department of NeurologyFujita Health University School of MedicineToyoakeAichiJapan
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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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4
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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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Singer W. Recent advances in establishing fluid biomarkers for the diagnosis and differentiation of alpha-synucleinopathies - a mini review. Clin Auton Res 2022; 32:291-297. [PMID: 35895157 PMCID: PMC10101699 DOI: 10.1007/s10286-022-00882-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Accepted: 07/14/2022] [Indexed: 11/24/2022]
Abstract
The clinical differentiation between multiple system atrophy (MSA), Parkinson's disease (PD), dementia with Lewy bodies (DLB), as well as the distinction between these synucleinopathies from other neurodegenerative disorders can be challenging, particularly at early disease stages or when the presentation is atypical. That is also true for predicting the fate of patients with limited or prodromal forms of synucleinopathies such as pure autonomic failure (PAF) or idiopathic REM-sleep behavior disorder (iRBD) which are known to be at risk of developing MSA, PD, or DLB. After discussing current classification concepts of the synucleinopathies, this invited mini-review reflects on two recently described and validated spinal fluid biomarkers, namely neurofilament light chain (NfL) and α-synuclein oligomers detected by protein aggregation assays, that have shown great promise not only as markers differentiating MSA from the Lewy-body synucleinopathies but also as markers that predict future phenoconversion to MSA among patients with PAF. Discussed are the strengths and limitations of these markers, and how they appear to complement each other nicely as a biomarker panel, enhancing the specificity of one of these markers, yet adding further robustness and simplicity to a marker that is technically rather challenging. The review concludes with thoughts on potential next steps in the development of fluid biomarkers in this rapidly emerging field.
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Affiliation(s)
- Wolfgang Singer
- Department of Neurology, Mayo Clinic, Rochester, MN, 55905, USA.
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6
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Kaiserova M, Chudackova M, Prikrylova Vranova H, Mensikova K, Kastelikova A, Stejskal D, Kanovsky P. Cerebrospinal Fluid Levels of 5-Hydroxyindoleacetic Acid in Parkinson's Disease and Atypical Parkinsonian Syndromes. NEURODEGENER DIS 2021; 21:30-35. [PMID: 34695830 DOI: 10.1159/000520302] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Accepted: 10/18/2021] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Various cerebrospinal fluid (CSF) biomarkers are studied in Parkinson's disease (PD) and atypical parkinsonian syndromes (APS). Several studies found reduced 5-hydroxyindoleacetic acid (5-HIAA), the main serotonin metabolite, in PD. There is little evidence regarding its levels in APS. METHODS We measured 5-HIAA in the CSF of 90 PD patients, 16 MSA patients, 26 progressive supranuclear palsy (PSP) patients, 11 corticobasal syndrome (CBS) patients, and 31 controls. We also compared the values in depressed and nondepressed patients. RESULTS There was a statistically significant difference in CSF 5-HIAA in PD and MSA compared to the control group (median in PD 15.8 μg/L, in MSA 13.6 μg/L vs. 24.3 μg/L in controls; p = 0.0008 in PD, p = 0.006 in MSA). There was no statistically significant difference in CSF 5-HIAA in PSP and CBS compared to the control group (median in PSP 22.7 μg/L, in CBS 18.7 μg/L vs. 24.3 μg/L in controls; p = 1 in both PSP and CBS). CSF 5-HIAA levels were lower in PD patients with depression compared to PD patients without depression (median 8.34 vs. 18.48, p < 0.0001). CONCLUSIONS CSF 5-HIAA is decreased in PD and MSA. The CSF 5-HIAA levels in PSP and CBS did not differ from those of the control group. There was a tendency toward lower CSF 5-HIAA in MSA than in PD; however, the results did not reach statistical significance. These results may be explained by more severe damage of the serotonergic system in synucleinopathies (PD and MSA) than in tauopathies (PSP and CBS).
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Affiliation(s)
| | - Monika Chudackova
- Department of Neurology, Faculty of Medicine and Dentistry, Palacky University and University Hospital, Olomouc, Czechia
| | | | - Katerina Mensikova
- Department of Neurology, Faculty of Medicine and Dentistry, Palacky University and University Hospital, Olomouc, Czechia
| | - Anetta Kastelikova
- Department of Neurology, Faculty of Medicine and Dentistry, Palacky University and University Hospital, Olomouc, Czechia
| | - David Stejskal
- Institute of Biomedical Sciences, Faculty of Medicine, Ostrava University, Olomouc, Czechia.,Institute of Laboratory Diagnostics, University Hospital Ostrava, Ostrava, Czechia
| | - Petr Kanovsky
- Department of Neurology, Faculty of Medicine and Dentistry, Palacky University and University Hospital, Olomouc, Czechia
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Katayama T, Sawada J, Takahashi K, Yahara O, Hasebe N. Meta-analysis of cerebrospinal fluid neuron-specific enolase levels in Alzheimer's disease, Parkinson's disease, dementia with Lewy bodies, and multiple system atrophy. Alzheimers Res Ther 2021; 13:163. [PMID: 34610837 PMCID: PMC8493707 DOI: 10.1186/s13195-021-00907-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2020] [Accepted: 09/23/2021] [Indexed: 12/29/2022]
Abstract
Background This study examined the usefulness of cerebrospinal fluid (CSF) neuron-specific enolase (NSE) levels as a candidate biomarker of neurodegeneration in Alzheimer’s disease (AD), Parkinson’s disease (PD), PD with dementia (PDD), dementia with Lewy bodies (DLB), and multiple system atrophy (MSA). Methods We performed a systematic search of PubMed, the Cochrane Library, Scopus, and Google Scholar to find studies that measured CSF NSE levels in AD, PD, DLB, and/or MSA. For each disease, we pooled all available data and performed a meta-analysis, and meta-regression analyses of age and sex were conducted if the main analysis found a significant association. Results Twenty studies were included (13 for AD, 8 for PD/PDD/DLB, and 4 for MSA). Significantly elevated CSF NSE levels were detected in AD (Hedges’ g = 0.822, 95% confidence interval [95% CI] 0.332 to 1.311, p = 0.0010), but the data exhibited high heterogeneity (I2 = 88.43%, p < 0.001). The meta-regression analysis of AD showed that age (p < 0.001), but not sex, had a significant effect on CSF NSE levels. A meta-analysis of the pooled data for PD/PDD/DLB did not show any significant changes in the CSF NSE level, but a sub-group analysis of PDD/DLB revealed significantly elevated CSF NSE levels (Hedges’ g = 0.507, 95% CI 0.020 to 0.993, p = 0.0412). No significant changes in CSF NSE levels were detected in MSA. Conclusions The CSF NSE level may be a useful biomarker of neurodegeneration in AD and PDD/DLB. Age was found to affect the CSF NSE levels of AD patients. Supplementary Information The online version contains supplementary material available at 10.1186/s13195-021-00907-3.
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Affiliation(s)
- Takayuki Katayama
- Department of Neurology, Asahikawa City Hospital, 1-1-65 Kinseicho, Asahikawa, 070-8610, Japan.
| | - Jun Sawada
- Division of Neurology, First Department of Internal Medicine, Asahikawa Medical University Hospital, Asahikawa, Japan
| | - Kae Takahashi
- Department of Neurology, Asahikawa City Hospital, 1-1-65 Kinseicho, Asahikawa, 070-8610, Japan
| | - Osamu Yahara
- Department of Neurology, Asahikawa City Hospital, 1-1-65 Kinseicho, Asahikawa, 070-8610, Japan
| | - Naoyuki Hasebe
- Division of Neurology, First Department of Internal Medicine, Asahikawa Medical University Hospital, Asahikawa, Japan
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8
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Singer W, Schmeichel AM, Shahnawaz M, Schmelzer JD, Sletten DM, Gehrking TL, Gehrking JA, Olson AD, Suarez MD, Misra PP, Soto C, Low PA. Alpha-Synuclein Oligomers and Neurofilament Light Chain Predict Phenoconversion of Pure Autonomic Failure. Ann Neurol 2021; 89:1212-1220. [PMID: 33881777 DOI: 10.1002/ana.26089] [Citation(s) in RCA: 53] [Impact Index Per Article: 17.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2021] [Revised: 04/06/2021] [Accepted: 04/18/2021] [Indexed: 12/21/2022]
Abstract
OBJECTIVE To explore the role of alpha-synuclein (αSyn) oligomers and neurofilament light chain (NfL) in cerebrospinal fluid (CSF) of patients with pure autonomic failure (PAF) as markers of future phenoconversion to multiple system atrophy (MSA). METHODS Well-characterized patients with PAF (n = 32) were enrolled between June 2016 and February 2019 at Mayo Clinic Rochester and followed prospectively with annual visits to determine future phenoconversion to MSA, Parkinson's disease (PD), or dementia with Lewy bodies (DLB). ELISA was utilized to measure NfL and protein misfolding cyclic amplification (PMCA) to detect αSyn oligomers in CSF collected at baseline. RESULTS Patients were followed for a median of 3.9 years. Five patients converted to MSA, 2 to PD, and 2 to DLB. NfL at baseline was elevated only in patients who later developed MSA, perfectly separating those from future PD and DLB converters as well as non-converters. ASyn-PMCA was positive in all but two cases (94%). The PMCA reaction was markedly different in five samples with maximum fluorescence and reaction kinetics previously described in MSA patients; all of these patients later developed MSA. INTERPRETATION αSyn-PMCA is almost invariably positive in the CSF of patients with PAF establishing this condition as α-synucleinopathy. Both NfL and the magnitude and reaction kinetics of αSyn PMCA faithfully predict which PAF patients will eventually phenoconvert to MSA. This finding has important implications not only for prognostication, but also for future trials of disease modifying therapies, allowing for differentiation of MSA from Lewy body synucleinopathies before motor symptoms develop. ANN NEUROL 2021;89:1212-1220.
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Affiliation(s)
| | | | - Mohammad Shahnawaz
- Mitchell Center for Alzheimer's Disease and Related Brain Disorders, Department of Neurology, University of Texas McGovern Medical School at Houston, Houston, TX
| | | | | | | | | | | | | | | | - Claudio Soto
- Mitchell Center for Alzheimer's Disease and Related Brain Disorders, Department of Neurology, University of Texas McGovern Medical School at Houston, Houston, TX
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Singer W, Schmeichel AM, Shahnawaz M, Schmelzer JD, Boeve BF, Sletten DM, Gehrking TL, Gehrking JA, Olson AD, Savica R, Suarez MD, Soto C, Low PA. Alpha-Synuclein Oligomers and Neurofilament Light Chain in Spinal Fluid Differentiate Multiple System Atrophy from Lewy Body Synucleinopathies. Ann Neurol 2020; 88:503-512. [PMID: 32557811 PMCID: PMC7719613 DOI: 10.1002/ana.25824] [Citation(s) in RCA: 73] [Impact Index Per Article: 18.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2020] [Revised: 06/02/2020] [Accepted: 06/14/2020] [Indexed: 12/20/2022]
Abstract
OBJECTIVE To explore the role of alpha-synuclein (αSyn) oligomers and neurofilament light chain (NFL) in cerebrospinal fluid (CSF) as markers of early multiple system atrophy (MSA) and to contrast findings with Lewy body synucleinopathies. METHODS In a discovery cohort of well-characterized early MSA patients (n = 24) and matched healthy controls (CON, n = 14), we utilized enzyme-linked immunosorbent assay to measure NFL and protein misfolding cyclic amplification (PMCA) to detect αSyn oligomers in CSF. We confirmed findings in a separate prospectively enrolled cohort of patients with early MSA (n = 38), Parkinson disease (PD, n = 16), and dementia with Lewy bodies (DLB, n = 13), and CON subjects (n = 15). RESULTS In the discovery cohort, NFL was markedly elevated in MSA patients, with perfect separation from CON. αSyn-PMCA was nonreactive in all CON, whereas all MSA samples were positive. In the confirmatory cohort, NFL again perfectly separated MSA from CON, and was significantly lower in PD and DLB compared to MSA. PMCA was again nonreactive in all CON, and positive in all but 2 MSA cases. All PD and all but 2 DLB samples were also positive for αSyn aggregates but with markedly different reaction kinetics from MSA; aggregation occurred later, but maximum fluorescence was higher, allowing for perfect separation of reactive samples between MSA and Lewy body synucleinopathies. INTERPRETATION NFL and αSyn oligomers in CSF faithfully differentiate early MSA not only from CON but also from Lewy body synucleinopathies. The findings support the role of these markers as diagnostic biomarkers, and have important implications for understanding pathophysiologic mechanisms underlying the synucleinopathies. ANN NEUROL 2020;88:503-512.
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Affiliation(s)
- Wolfgang Singer
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | | | - Mohammad Shahnawaz
- Mitchell Center for Alzheimer's Disease and Related Brain Disorders, Department of Neurology, University of Texas McGovern Medical School at Houston, Houston, Texas, USA
| | | | - Bradley F Boeve
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | - David M Sletten
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | | | - Jade A Gehrking
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | - Anita D Olson
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | - Rodolfo Savica
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | | | - Claudio Soto
- Mitchell Center for Alzheimer's Disease and Related Brain Disorders, Department of Neurology, University of Texas McGovern Medical School at Houston, Houston, Texas, USA
| | - Phillip A Low
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
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10
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Papuć E, Rejdak K. Increased Cerebrospinal Fluid S100B and NSE Reflect Neuronal and Glial Damage in Parkinson's Disease. Front Aging Neurosci 2020; 12:156. [PMID: 32792937 PMCID: PMC7387568 DOI: 10.3389/fnagi.2020.00156] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2020] [Accepted: 05/07/2020] [Indexed: 01/04/2023] Open
Abstract
Introduction: The diagnosis of Parkinson’s disease (PD) mainly relies on clinical manifestation, but may be difficult to make in very early stages of the disease, especially in pre-motor PD. Thus, there is great interest in finding a biomarker for PD. Among diagnostic biomarkers, the most promising molecules are those which reflect the pathophysiological mechanisms of the disease. Until now, only α-synuclein, a classical CSF Alzheimer’s disease biomarker, and neurofilament light (NFL) chains have turned out to be helpful in differential diagnosis between PD and healthy control subjects. Aim: To assess whether CSF molecules related to some pathological processes present in PD might be of interest in the diagnosis of PD and whether they correlate with disease severity. Methods: CSF levels of S100B and neuron-specific enolase (NSE) were measured in 58 PD patients and in 28 healthy control subjects. Correlations were determined between the levels of these CSF molecules and measures of disease severity (Hoehn–Yahr scale and UPDRS part III), as well as disease duration and levodopa dose. Results: CSF S100B and CSF NSE were both significantly increased in PD subjects vs. healthy controls (p = 0.007 and p = 0.00035, respectively). CSF S100B was significantly positively correlated with measures of disease severity (H-Y score and UPDRS part III), as well as disease duration (p < 0.05). No correlation was found between CSF NSE levels and disease severity or disease duration (p > 0.05). CSF S100B levels alone provided a relatively high discrimination (AUC 0.77) between PD and healthy controls, with 60.7% sensitivity and 88.5% specificity (p < 0.001) at a cut-off value of 123.22 pg/ml. Similarly, CSF NSE levels alone provided a relatively high discrimination (AUC 0.775) between PD and healthy controls, with 78.6% sensitivity and 74.1% specificity at a cut-off value of 51.56 ng/ml (p < 0.001). Conclusions: Our results show that both CSF S100B and CSF NSE seem to be promising markers of the axonal and glial degeneration present in PD. Additionally CSF S100B may be a promising marker of PD progression.
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Affiliation(s)
- Ewa Papuć
- Department of Neurology, Medical University of Lublin, Lublin, Poland
| | - Konrad Rejdak
- Department of Neurology, Medical University of Lublin, Lublin, Poland
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Santaella A, Kuiperij HB, van Rumund A, Esselink RAJ, Bloem BR, Verbeek MM. Cerebrospinal fluid myelin basic protein is elevated in multiple system atrophy. Parkinsonism Relat Disord 2020; 76:80-84. [PMID: 32576494 DOI: 10.1016/j.parkreldis.2020.06.004] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Revised: 05/13/2020] [Accepted: 06/05/2020] [Indexed: 10/24/2022]
Abstract
INTRODUCTION Parkinson's disease (PD) and multiple system atrophy (MSA) have overlapping symptoms, challenging an early diagnosis. Diagnostic accuracy is important because PD and MSA have a different prognosis and response to treatment. Here, we aimed to evaluate the diagnostic value of brain-specific structural proteins in cerebrospinal fluid (CSF) of PD and MSA patients, as well as their association with cognitive decline. METHODS CSF samples were collected from patients with clear signs of parkinsonism, but with uncertain diagnosis at the time of inclusion. Clinical diagnoses of PD (n = 55) and MSA (n = 22) were established after 3 and 10 years of follow-up and re-evaluated after 12 years, according to the most updated clinical criteria. CSF from controls (n = 118) was studied for comparison. Neuron-specific enolase (NSE), glial fibrillary acidic protein (GFAP), S100 calcium-binding protein B (S100B) and myelin basic protein (MBP) levels in CSF were measured using ELISA. Protein levels were also correlated with cognitive decline, i.e. worsening of the mini mental state examination (MMSE) over a period of three years. RESULTS MBP concentrations were increased in MSA compared to PD and controls (p < 0.005) and could differentiate MSA and PD with high accuracy (AUC = 0.781; p < 0.001). Concentrations of MPB, GFAP and S100B, but not NSE, were significantly elevated in PD patients compared to controls (p = 0.05). None of the brain-specific structural proteins correlated with MMSE progression. CONCLUSIONS Our results demonstrate that MBP differentiates PD from MSA at early stages of the disease, indicating that demyelination and axonal damage may already occur in early stages of MSA.
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Affiliation(s)
- Anna Santaella
- Departments of Neurology, the Netherlands; Laboratory Medicine, Radboud university Medical Center and Donders Institute for Brain, Cognition and Behavior, the Netherlands; Center of Expertise for Parkinson & Movement Disorders, Nijmegen, the Netherlands
| | - H Bea Kuiperij
- Departments of Neurology, the Netherlands; Laboratory Medicine, Radboud university Medical Center and Donders Institute for Brain, Cognition and Behavior, the Netherlands
| | | | - Rianne A J Esselink
- Departments of Neurology, the Netherlands; Center of Expertise for Parkinson & Movement Disorders, Nijmegen, the Netherlands
| | - Bastiaan R Bloem
- Departments of Neurology, the Netherlands; Center of Expertise for Parkinson & Movement Disorders, Nijmegen, the Netherlands
| | - Marcel M Verbeek
- Departments of Neurology, the Netherlands; Laboratory Medicine, Radboud university Medical Center and Donders Institute for Brain, Cognition and Behavior, the Netherlands; Center of Expertise for Parkinson & Movement Disorders, Nijmegen, the Netherlands.
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12
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Ye LQ, Li XY, Zhang YB, Cheng HR, Ma Y, Chen DF, Tao QQ, Li HL, Wu ZY. The discriminative capacity of CSF β-amyloid 42 and Tau in neurodegenerative diseases in the Chinese population. J Neurol Sci 2020; 412:116756. [PMID: 32142967 DOI: 10.1016/j.jns.2020.116756] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2019] [Revised: 02/09/2020] [Accepted: 02/21/2020] [Indexed: 12/16/2022]
Abstract
INTRODUCTION In the past few years, the β-amyloid 42 peptide and tau protein in cerebrospinal fluid (CSF) have become primary diagnostic biomarkers in differentiating Alzheimer's disease (AD) and cognitive normal controls. As we know, several neurodegenerative diseases have been reported to overlap with AD in neuropathology and clinical symptoms. To examine the discriminative utility of these biomarkers in AD and other neurodegenerative diseases, we measured them in a cohort of Chinese population. METHODS We measured CSF Aβ42, t-tau and p-tau181 by ELISA tests and calculated the ratios of t-tau/Aβ42 and p-tau181/Aβ42 in 240 Chinese Han patients with AD (n = 82), frontotemporal dementia (FTD, n = 20), Huntington's disease (HD, n = 27), multiple system atrophy (MSA, n = 24), spinocerebellar ataxia type-3 (SCA3, n = 27), amyotrophic lateral sclerosis (ALS, n = 36) and controls (n = 24). RESULTS As expected, all biomarkers showed high discriminative capacity between AD and non-AD groups (p < .05) except for the elevated CSF t-tau in FTD (p > .05). Comparing with the controls, tau related biomarkers significantly elevated in the FTD (p < .001) and MSA (p < .05) groups. Surprisingly, comparing with controls, we found that CSF Aβ42 increased remarkably in the SCA3 (p < .05), HD and ALS groups (p < .001), achieving a high specificity, respectively. CONCLUSION To our best knowledge, this is the first comprehensive study in the Han Chinese population that confirmed the discriminative utility of CSF Aβ42 and tau biomarkers between AD and other neurodegenerative diseases.
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Affiliation(s)
- Ling-Qi Ye
- Department of Neurology and Research Center of Neurology in Second Affiliated Hospital, Key Laboratory of Medical Neurobiology of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China
| | - Xiao-Yan Li
- Department of Neurology and Research Center of Neurology in Second Affiliated Hospital, Key Laboratory of Medical Neurobiology of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China
| | - Yan-Bin Zhang
- Department of Neurology and Research Center of Neurology in Second Affiliated Hospital, Key Laboratory of Medical Neurobiology of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China; Department of Neurology and Institute of Neurology, First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Hong-Rong Cheng
- Department of Neurology and Research Center of Neurology in Second Affiliated Hospital, Key Laboratory of Medical Neurobiology of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China
| | - Yin Ma
- Department of Neurology and Research Center of Neurology in Second Affiliated Hospital, Key Laboratory of Medical Neurobiology of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China
| | - Dian-Fu Chen
- Department of Neurology and Research Center of Neurology in Second Affiliated Hospital, Key Laboratory of Medical Neurobiology of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China
| | - Qing-Qing Tao
- Department of Neurology and Research Center of Neurology in Second Affiliated Hospital, Key Laboratory of Medical Neurobiology of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China
| | - Hong-Lei Li
- Department of Neurology and Research Center of Neurology in Second Affiliated Hospital, Key Laboratory of Medical Neurobiology of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China.
| | - Zhi-Ying Wu
- Department of Neurology and Research Center of Neurology in Second Affiliated Hospital, Key Laboratory of Medical Neurobiology of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China; CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai, China.
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Fanciulli A, Stankovic I, Krismer F, Seppi K, Levin J, Wenning GK. Multiple system atrophy. INTERNATIONAL REVIEW OF NEUROBIOLOGY 2019; 149:137-192. [PMID: 31779811 DOI: 10.1016/bs.irn.2019.10.004] [Citation(s) in RCA: 61] [Impact Index Per Article: 12.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Multiple system atrophy (MSA) is a sporadic, adult-onset, relentlessly progressive neurodegenerative disorder, clinically characterized by various combinations of autonomic failure, parkinsonism and ataxia. The neuropathological hallmark of MSA are glial cytoplasmic inclusions consisting of misfolded α-synuclein. Selective atrophy and neuronal loss in striatonigral and olivopontocerebellar systems underlie the division into two main motor phenotypes of MSA-parkinsonian type and MSA-cerebellar type. Isolated autonomic failure and REM sleep behavior disorder are common premotor features of MSA. Beyond the core clinical symptoms, MSA manifests with a number of non-motor and motor features. Red flags highly specific for MSA may provide clues for a correct diagnosis, but in general the diagnostic accuracy of the second consensus criteria is suboptimal, particularly in early disease stages. In this chapter, the authors discuss the historical milestones, etiopathogenesis, neuropathological findings, clinical features, red flags, differential diagnosis, diagnostic criteria, imaging and other biomarkers, current treatment, unmet needs and future treatments for MSA.
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Affiliation(s)
| | - Iva Stankovic
- Neurology Clinic, Clinical Center of Serbia, School of Medicine, University of Belgrade, Belgrade, Serbia
| | - Florian Krismer
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Klaus Seppi
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Johannes Levin
- Department of Neurology, Ludwig-Maximilians-Universität München, Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE) e.V., Munich Cluster of Systems Neurology (SyNergy), Munich, Germany
| | - Gregor K Wenning
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
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Kalatha T, Arnaoutoglou M, Koukoulidis T, Hatzifilippou E, Bouras E, Baloyannis S, Koutsouraki E. Does cognitive dysfunction correlate with neurofilament light polypeptide levels in the CSF of patients with multiple sclerosis? J Int Med Res 2019; 47:2187-2198. [PMID: 30982375 PMCID: PMC6567748 DOI: 10.1177/0300060519840550] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Objective To investigate whether neurofilament light polypeptide (NfL) level in cerebrospinal fluid (CSF), currently a prognostic biomarker of neurodegeneration in patients with multiple sclerosis (MS), may be a potential biomarker of cognitive dysfunction in MS. Methods This observational case–control study included patients with MS. CSF levels of NfL were determined using enzyme-linked immunosorbent assay. Cognitive function was measured with the Brief International Cognitive Assessment for MS (BICAMS) battery and Paced Auditory Serial Addition Test (PASAT3), standardized to the Greek population. Results Of 39 patients enrolled (aged 42.7 ± 13.6 years), 36% were classified as cognitively impaired according to BICAMS z-scores (–0.34 ± 1.13). Relapsing MS was significantly better than progressive forms regarding BICAMS z-score (mean difference [MD] 1.39; 95% confidence interval [CI] 0.54, 2.24), Symbol Digit Modality Test score (MD 1.73; 95% CI 0.46, 3.0) and Greek Verbal Learning Test (MD 1.77; 95% CI 0.82, 2.72). An inversely proportional association between CSF NfL levels and BICAMS z-scores was found in progressive forms of MS (rp = –0.944). Conclusions This study provides preliminary evidence for an association between CSF NfL levels and cognition in progressive forms of MS, which requires validation in larger samples.
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Affiliation(s)
- Thaleia Kalatha
- 1 First Neurology Clinic, AHEPA Hospital, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Marianthi Arnaoutoglou
- 1 First Neurology Clinic, AHEPA Hospital, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Theodoros Koukoulidis
- 1 First Neurology Clinic, AHEPA Hospital, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Eleni Hatzifilippou
- 1 First Neurology Clinic, AHEPA Hospital, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Emmanouil Bouras
- 2 Laboratory of Hygiene, Social & Preventive Medicine and Medical Statistics, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Stavros Baloyannis
- 1 First Neurology Clinic, AHEPA Hospital, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Effrosyni Koutsouraki
- 1 First Neurology Clinic, AHEPA Hospital, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
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Khodadadian A, Hemmati-Dinarvand M, Kalantary-Charvadeh A, Ghobadi A, Mazaheri M. Candidate biomarkers for Parkinson's disease. Biomed Pharmacother 2018; 104:699-704. [PMID: 29803930 DOI: 10.1016/j.biopha.2018.05.026] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2018] [Revised: 05/01/2018] [Accepted: 05/07/2018] [Indexed: 10/16/2022] Open
Abstract
Parkinson's disease (PD) is one of the most common diseases associated with neurodegenerative disorders. It affects 3% to 4% of the population over the age of 65 years. The neuropathological dominant symptoms of PD include the destruction of neurons in the substantia nigra, thus causing striatal dopamine deficiency and the presence of intracellular inclusions that contain aggregates of α‑synuclein. The premature form of PD is familial and is known as early onset PD (EOPD). It involves a small portion of patients with PD, displaying symptoms before the age of 60 years. Although individuals who are suffering from the EOPD may have genetic changes, the molecular mechanisms that differentiate between EOPD and late onset PD (LOPD) remain unclear. Owing to the complexity of discriminating between the different forms, treatment, and management of PD, the identification of biomarkers for early diagnosis seems necessary. For this purpose, many studies have been undertaken for the introduction of several biological molecules through various techniques as potential biomarkers. The main focus of these studies was on α-synuclein. However, there are other molecules that are potential biomarkers, such as microRNAs and peptoids. In this article, we tried to review some of these studies.
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Affiliation(s)
- Ali Khodadadian
- Department of Medical Genetics, Faculty of Medicine, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
| | - Mohsen Hemmati-Dinarvand
- Department of Clinical Biochemistry and Laboratory Medicine, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Ashkan Kalantary-Charvadeh
- Department of Clinical Biochemistry and Laboratory Medicine, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Amin Ghobadi
- Department of Clinical Biochemistry and Laboratory Medicine, Faculty of Medicine, Mazandaran University of Medical Sciences, Sari, Iran
| | - Mahta Mazaheri
- Department of Medical Genetics, Faculty of Medicine, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
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Biomarkers in cerebrospinal fluid for synucleinopathies, tauopathies, and other neurodegenerative disorders. HANDBOOK OF CLINICAL NEUROLOGY 2018; 146:99-113. [DOI: 10.1016/b978-0-12-804279-3.00007-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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Jellinger KA. Potential clinical utility of multiple system atrophy biomarkers. Expert Rev Neurother 2017; 17:1189-1208. [DOI: 10.1080/14737175.2017.1392239] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
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Farotti L, Paciotti S, Tasegian A, Eusebi P, Parnetti L. Discovery, validation and optimization of cerebrospinal fluid biomarkers for use in Parkinson's disease. Expert Rev Mol Diagn 2017; 17:771-780. [PMID: 28604235 DOI: 10.1080/14737159.2017.1341312] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
INTRODUCTION Parkinson's disease (PD) is a complex and phenotypically heterogeneous neurodegenerative disease, for which the diagnosis is mainly based on clinical parameters (even if neuroimaging plays a role in diagnostic assessment); as a consequence, misdiagnosis is common, especially in early stages. Thus, there is an urgent need of having available biomarkers in order to achieve an early and accurate diagnosis. Since molecular changes in the brain are reliably and timely reflected in cerebrospinal fluid (CSF), CSF represents an ideal source for biomarkers of different pathophysiological processes characterizing the disease since its early phases. Areas covered: The aim of this review is to provide an update on the role, development and validation of most studied CSF biomarkers showing a role in the diagnosis and/or prognosis of PD. Oligomeric alpha-synuclein, DJ-1, lysosomal enzymes (namely, glucocerebrosidase) show consistent evidence as potential diagnostic biomarkers of PD. Neurofilament light chain may also have a significant role in differentiating PD from other parkinsonisms. Amyloid beta peptide 1-42 has consistently shown a prognostic value in terms of development of cognitive impairment and dementia in PD patients. Expert commentary: CSF biomarkers represent a very promising approach to early and differential diagnosis of PD. The biomarkers available so far need preanalytical and analytical validation in order to have these CSF biomarkers ready for clinical use.
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Affiliation(s)
- Lucia Farotti
- a Clinica Neurologica, Laboratorio di Neurochimica Clinica , Universita degli Studi di Perugia , Perugia , Italy
| | - Silvia Paciotti
- a Clinica Neurologica, Laboratorio di Neurochimica Clinica , Universita degli Studi di Perugia , Perugia , Italy
| | - Anna Tasegian
- a Clinica Neurologica, Laboratorio di Neurochimica Clinica , Universita degli Studi di Perugia , Perugia , Italy
| | - Paolo Eusebi
- a Clinica Neurologica, Laboratorio di Neurochimica Clinica , Universita degli Studi di Perugia , Perugia , Italy
| | - Lucilla Parnetti
- a Clinica Neurologica, Laboratorio di Neurochimica Clinica , Universita degli Studi di Perugia , Perugia , Italy
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Laurens B, Constantinescu R, Freeman R, Gerhard A, Jellinger K, Jeromin A, Krismer F, Mollenhauer B, Schlossmacher MG, Shaw LM, Verbeek MM, Wenning GK, Winge K, Zhang J, Meissner WG. Fluid biomarkers in multiple system atrophy: A review of the MSA Biomarker Initiative. Neurobiol Dis 2015; 80:29-41. [PMID: 25982836 DOI: 10.1016/j.nbd.2015.05.004] [Citation(s) in RCA: 56] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2015] [Revised: 04/29/2015] [Accepted: 05/08/2015] [Indexed: 01/10/2023] Open
Abstract
Despite growing research efforts, no reliable biomarker currently exists for the diagnosis and prognosis of multiple system atrophy (MSA). Such biomarkers are urgently needed to improve diagnostic accuracy, prognostic guidance and also to serve as efficacy measures or surrogates of target engagement for future clinical trials. We here review candidate fluid biomarkers for MSA and provide considerations for further developments and harmonization of standard operating procedures. A PubMed search was performed until April 24, 2015 to review the literature with regard to candidate blood and cerebrospinal fluid (CSF) biomarkers for MSA. Abstracts of 1760 studies were retrieved and screened for eligibility. The final list included 60 studies assessing fluid biomarkers in patients with MSA. Most studies have focused on alpha-synuclein, markers of axonal degeneration or catecholamines. Their results suggest that combining several CSF fluid biomarkers may be more successful than using single markers, at least for the diagnosis. Currently, the clinically most useful markers may comprise a combination of the light chain of neurofilament (which is consistently elevated in MSA compared to controls and Parkinson's disease), metabolites of the catecholamine pathway and proteins such as α-synuclein, DJ-1 and total-tau. Beyond future efforts in biomarker discovery, the harmonization of standard operating procedures will be crucial for future success.
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Affiliation(s)
- Brice Laurens
- Service de Neurologie, CHU de Bordeaux, F-33076 Bordeaux, France
| | - Radu Constantinescu
- Department of Neurology, Sahlgrenska University Hospital, 413 45 Göteborg, Sweden
| | - Roy Freeman
- Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston
| | - Alexander Gerhard
- Institute of Brain Behaviour and Mental Heath, University of Manchester, UK
| | - Kurt Jellinger
- Institute of Clinical Neurobiology, Kenyongasse 18, A-1070 Vienna, Austria
| | | | - Florian Krismer
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Brit Mollenhauer
- Paracelsus-Elena-Klinik, Kassel, Germany and Department of Neuropathology, University Medical Center Goettingen, Germany
| | - Michael G Schlossmacher
- Program in Neuroscience, The Ottawa Hospital, University of Ottawa Brain and Mind Research Institute, Ottawa, Ontario, Canada
| | - Leslie M Shaw
- Perelman School of Medicine, University of Pennsylvania
| | - Marcel M Verbeek
- Department of Neurology, Parkinson Center, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, the Netherlands; Department of Laboratory Medicine, Parkinson Center, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, the Netherlands
| | - Gregor K Wenning
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Kristian Winge
- Department of Neurology, Bispebjerg University Hospital, Copenhagen, Denmark
| | - Jing Zhang
- Department of Pathology, University of WA, Seattle, USA
| | - Wassilios G Meissner
- Service de Neurologie, CHU de Bordeaux, F-33076 Bordeaux, France; Centre de référence atrophie multisystématisée, CHU de Bordeaux, F-33076 Bordeaux, France; Univ. de Bordeaux, Institut des Maladies Neurodégénératives, UMR 5293, F-33076 Bordeaux, France; CNRS, Institut des Maladies Neurodégénératives, UMR 5293, F-33076 Bordeaux, France.
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Herbert MK, Aerts MB, Beenes M, Norgren N, Esselink RAJ, Bloem BR, Kuiperij HB, Verbeek MM. CSF Neurofilament Light Chain but not FLT3 Ligand Discriminates Parkinsonian Disorders. Front Neurol 2015; 6:91. [PMID: 25999911 PMCID: PMC4419719 DOI: 10.3389/fneur.2015.00091] [Citation(s) in RCA: 53] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2015] [Accepted: 04/11/2015] [Indexed: 12/13/2022] Open
Abstract
The differentiation between multiple system atrophy (MSA) and Parkinson’s disease (PD) is difficult, particularly in early disease stages. Therefore, we aimed to evaluate the diagnostic value of neurofilament light chain (NFL), fms-like tyrosine kinase ligand (FLT3L), and total tau protein (t-tau) in cerebrospinal fluid (CSF) as biomarkers to discriminate MSA from PD. Using commercially available enzyme-linked immunosorbent assays, we measured CSF levels of NFL, FLT3L, and t-tau in a discovery cohort of 36 PD patients, 27 MSA patients, and 57 non-neurological controls and in a validation cohort of 32 PD patients, 25 MSA patients, 15 PSP patients, 5 CBS patients, and 56 non-neurological controls. Cut-offs obtained from individual assays and binary logistic regression models developed from combinations of biomarkers were assessed. CSF levels of NFL were substantially increased in MSA and discriminated between MSA and PD with a sensitivity of 74% and specificity of 92% (AUC = 0.85) in the discovery cohort and with 80% sensitivity and 97% specificity (AUC = 0.94) in the validation cohort. FLT3L levels in CSF were significantly lower in both PD and MSA compared to controls in the discovery cohort, but not in the validation cohort. t-tau levels were significantly higher in MSA than PD and controls. Addition of either FLT3L or t-tau to NFL did not improve discrimination of PD from MSA above NFL alone. Our findings show that increased levels of NFL in CSF offer clinically relevant, high accuracy discrimination between PD and MSA.
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Affiliation(s)
- Megan K Herbert
- Department of Neurology and Parkinson Center, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre , Nijmegen , Netherlands ; Department of Laboratory Medicine, Radboud University Medical Centre , Nijmegen , Netherlands
| | - Marjolein B Aerts
- Department of Neurology and Parkinson Center, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre , Nijmegen , Netherlands ; Parkinson Center , Nijmegen , Netherlands
| | - Marijke Beenes
- Department of Neurology and Parkinson Center, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre , Nijmegen , Netherlands ; Department of Laboratory Medicine, Radboud University Medical Centre , Nijmegen , Netherlands
| | | | - Rianne A J Esselink
- Department of Neurology and Parkinson Center, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre , Nijmegen , Netherlands ; Parkinson Center , Nijmegen , Netherlands
| | - Bastiaan R Bloem
- Department of Neurology and Parkinson Center, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre , Nijmegen , Netherlands ; Parkinson Center , Nijmegen , Netherlands
| | - H Bea Kuiperij
- Department of Neurology and Parkinson Center, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre , Nijmegen , Netherlands ; Department of Laboratory Medicine, Radboud University Medical Centre , Nijmegen , Netherlands
| | - Marcel M Verbeek
- Department of Neurology and Parkinson Center, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre , Nijmegen , Netherlands ; Department of Laboratory Medicine, Radboud University Medical Centre , Nijmegen , Netherlands ; Parkinson Center , Nijmegen , Netherlands
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Constantinescu R, Mondello S. Cerebrospinal fluid biomarker candidates for parkinsonian disorders. Front Neurol 2013; 3:187. [PMID: 23346074 PMCID: PMC3549487 DOI: 10.3389/fneur.2012.00187] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2012] [Accepted: 12/21/2012] [Indexed: 01/21/2023] Open
Abstract
The Parkinsonian disorders are a large group of neurodegenerative diseases including idiopathic Parkinson’s disease (PD) and atypical Parkinsonian disorders (APD), such as multiple system atrophy, progressive supranuclear palsy, corticobasal degeneration, and dementia with Lewy bodies. The etiology of these disorders is not known although it is considered to be a combination of genetic and environmental factors. One of the greatest obstacles for developing efficacious disease-modifying treatment strategies is the lack of biomarkers. Reliable biomarkers are needed for early and accurate diagnosis, to measure disease progression, and response to therapy. In this review several of the most promising cerebrospinal biomarker candidates are discussed. Alpha-synuclein seems to be intimately involved in the pathogenesis of synucleinopathies and its levels can be measured in the cerebrospinal fluid and in plasma. In a similar way, tau protein accumulation seems to be involved in the pathogenesis of tauopathies. Urate, a potent antioxidant, seems to be associated to the risk of developing PD and with its progression. Neurofilament light chain levels are increased in APD compared with PD and healthy controls. The new “omics” techniques are potent tools offering new insights in the patho-etiology of these disorders. Some of the difficulties encountered in developing biomarkers are discussed together with future perspectives.
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Affiliation(s)
- Radu Constantinescu
- Department of Neurology, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg Gothenburg, Sweden
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Kuhle J, Petzold A. What makes a prognostic biomarker in CNS diseases: strategies for targeted biomarker discovery? Part 2: chronic progressive and relapsing disease. ACTA ACUST UNITED AC 2011; 5:393-410. [DOI: 10.1517/17530059.2011.592184] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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Nyhlén J, Constantinescu R, Zetterberg H. Problems associated with fluid biomarkers for Parkinson's disease. Biomark Med 2011; 4:671-81. [PMID: 20945980 DOI: 10.2217/bmm.10.84] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
This article focuses on biochemical markers that may be used in the diagnostics of Parkinson's disease and associated disorders, and to identify early cases and stratify patients into subgroups. We present an updated account of some currently available candidate fluid biomarkers, and discuss their diagnostic performance and limitations. We also discuss some of the general problems with Parkinson's disease biomarkers and possible ways of moving forward. It may be concluded that a diagnostically useful fluid biomarker for Parkinson's disease is yet to be identified. However, some interesting candidates exist and may prove useful in the future, alone or when analyzed together in patterns.
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Affiliation(s)
- Jakob Nyhlén
- Institute of Neuroscience & Physiology, Department of Psychiatry & Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
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Süssmuth SD, Uttner I, Landwehrmeyer B, Pinkhardt EH, Brettschneider J, Petzold A, Kramer B, Schulz JB, Palm C, Otto M, Ludolph AC, Kassubek J, Tumani H. Differential pattern of brain-specific CSF proteins tau and amyloid-beta in Parkinsonian syndromes. Mov Disord 2010; 25:1284-8. [DOI: 10.1002/mds.22895] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
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Constantinescu R, Rosengren L, Johnels B, Zetterberg H, Holmberg B. Consecutive analyses of cerebrospinal fluid axonal and glial markers in Parkinson's disease and atypical parkinsonian disorders. Parkinsonism Relat Disord 2010; 16:142-5. [DOI: 10.1016/j.parkreldis.2009.07.007] [Citation(s) in RCA: 64] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2008] [Revised: 06/23/2009] [Accepted: 07/15/2009] [Indexed: 10/20/2022]
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Ciborowski P. Biomarkers of HIV-1-associated neurocognitive disorders: challenges of proteomic approaches. Biomark Med 2009; 3:771-85. [PMID: 20477714 PMCID: PMC3544489 DOI: 10.2217/bmm.09.63] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
HIV-1 enters the brain shortly after infection, which may lead to neurological complications and in the most severe cases to encephalitis, dementia and death. The introduction of antiretroviral therapy reduced the incidence of the most severe conditions, nevertheless, approximately half of those infected with this virus will suffer to various degrees from HIV-1-associated neurocognitive disorders. Despite many years of research, there are no biomarkers that can objectively measure and, more importantly, predict the onset and the tempo of HIV-1-associated neurocognitive disorders. Here we review biomarker candidates of neurocognitive impairment due to HIV infection of the brain that have been proposed during the last two decades, and discuss perspectives and limitations of proteomic approaches in the search for new, more sensitive and specific biomarkers.
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Affiliation(s)
- Pawel Ciborowski
- Department of Pharmacology and Experimental Neuroscience, University of Nebraska Medical Center, Omaha, NE 68198-5800, USA.
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Mollenhauer B, Trenkwalder C. Neurochemical biomarkers in the differential diagnosis of movement disorders. Mov Disord 2009; 24:1411-26. [PMID: 19412961 DOI: 10.1002/mds.22510] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
In recent years, the neurochemical analysis of neuronal proteins in cerebrospinal fluid (CSF) has become increasingly accepted for the diagnosis of neurodegenerative dementia diseases such as Alzheimer's disease and Creutzfeldt-Jakob disease. CSF surrounds the central nervous system, and in the composition of CSF proteins one finds brain-specific proteins that are prioritized from blood-derived proteins. Levels of specific CSF proteins could be very promising biomarkers for central nervous system diseases. We need the development of more easily accessible biomarkers, in the blood. In neurodegenerative diseases with and without dementia, studies on CSF and blood proteins have investigated the usefulness of biomarkers in differential diagnosis. The clinical diagnoses of Parkinson's disease, dementia with Lewy bodies, multiple system atrophy, progressive supranuclear palsy, and corticobasal degeneration still rely mainly on clinical symptoms as defined by international classification criteria. In this article, we review CSF biomarkers in these movement disorders and discuss recent published reports on the neurochemical intra vitam diagnosis of neurodegenerative disorders (including recent CSF alpha-synuclein findings).
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Constantinescu R, Zetterberg H, Holmberg B, Rosengren L. Levels of brain related proteins in cerebrospinal fluid: An aid in the differential diagnosis of parkinsonian disorders. Parkinsonism Relat Disord 2009; 15:205-12. [DOI: 10.1016/j.parkreldis.2008.05.001] [Citation(s) in RCA: 41] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2007] [Revised: 04/23/2008] [Accepted: 05/03/2008] [Indexed: 01/14/2023]
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Schmidt C, Herting B, Prieur S, Junghanns S, Schweitzer K, Globas C, Schöls L, Reichmann H, Berg D, Ziemssen T. Autonomic dysfunction in different subtypes of multiple system atrophy. Mov Disord 2008; 23:1766-72. [DOI: 10.1002/mds.22187] [Citation(s) in RCA: 30] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
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