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Early and precise diagnosis of α-synucleinopathies is challenging but critical. In this study, we developed a molecular beacon-based assay to evaluate microRNA-containing extracellular vesicles (EVs) in plasma. We recruited 1203 participants including healthy controls (HCs) and patients with isolated REM sleep behavior disorder (iRBD), α-synucleinopathies, or non-α-synucleinopathies from eight centers across China. Plasma miR-44438-containing EV levels were significantly increased in α-synucleinopathies, including those in the prodromal stage (e.g., iRBD), compared to both non-α-synucleinopathy patients and HCs. However, there are no significant differences between Parkinson's disease (PD) and multiple system atrophy. The miR-44438-containing EV levels negatively correlated with age and the Hoehn and Yahr stage of PD patients, suggesting a potential association with disease progression. Furthermore, a longitudinal analysis over 16.3 months demonstrated a significant decline in miR-44438-containing EV levels in patients with PD. These results highlight the potential of plasma miR-44438-containing EV as a biomarker for early detection and progress monitoring of α-synucleinopathies.

Purpose: There is a critical need for reliable diagnostic biomarkers as well as surrogate markers of disease progression in multiple system atrophy (MSA). Neurofilament light chain (NfL) has been reported to potentially meet those needs. We therefore sought to explore the value of NfL in plasma (NfL-p) in contrast to cerebrospinal fluid (NfL-c) as a diagnostic marker of MSA, and to assess NfL-p and NfL-c as markers of clinical disease progression., Methods: Well-characterized patients with early MSA (n = 32), Parkinson's disease (PD; n = 21), and matched controls (CON; n = 15) were enrolled in a prospective, longitudinal study of synucleinopathies with serial annual evaluations. NfL was measured using a high-sensitivity immunoassay, and findings were assessed by disease category and relationship with clinical measures of disease progression., Results: Measurements of NfL-c were highly reproducible across immunoassay platforms (Pearson, r = 0.99), while correlation between NfL-c and -p was only moderate (r = 0.66). NfL was significantly higher in MSA compared with CON and PD; the separation was essentially perfect for NfL-c, but there was overlap, particularly with PD, for NfL-p. While clinical measures of disease severity progressively increased over time, NfL-c and -p remained at stable elevated levels within subjects across serial measurements. Neither change in NfL nor baseline NfL were significantly associated with changes in clinical markers of disease severity., Conclusions: These findings confirm NfL-c as a faithful diagnostic marker of MSA, while NfL-p showed less robust diagnostic value. The significant NfL elevation in MSA was found to be remarkably stable over time and was not predictive of clinical disease progression., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany.)

Introduction: To determine an exploratory multimodal approach including serum NFL and MR planimetric measures to discriminate Parkinson's disease (PD), multiple system atrophy (MSA) and progressive supranuclear palsy (PSP)., Methods: MR planimetric measurements and NFL serum levels, with a mean time interval of 60 months relative to symptom onset, were assessed in a retrospective cohort of 11 progressive supranuclear palsy (PSP), 22 Parkinson's disease (PD), 16 multiple system atrophy (MSA) patients and 42 healthy controls (HC). A decision tree model to discriminate PD, PSP, and MSA was constructed using receiver operating characteristic curve analysis and Classification and Regression Trees algorithm., Results: Our multimodal decision tree provided accurate differentiation of PD versus MSA and PSP patients using a serum NFL cut-off of 14.66 ng/L. The pontine-to-midbrain-diameter-ratio (P d /M d ) discriminated MSA from PSP at a cut-off value of 2.06. The combined overall diagnostic yield was an accuracy of 83.7% (95% CI 69.8-90.8%)., Conclusion: We provide a clinically feasible decision algorithm which combines serum NFL levels and a planimetric MRI marker to differentiate PD, MSA and PSP with high diagnostic accuracy., Classification of Evidence: This study provides Class III evidence that the combination of serum NFL levels und MR planimetric measurements discriminates between PD, PSP and MSA., (Copyright © 2020 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Introduction: Multiple system atrophy (MSA) is a progressive neurodegenerative disease. Recent studies revealed decreased coenzyme Q10 (COQ10) levels in the cerebellum and blood samples of MSA patients. But few studies focused on the associations of COQ10 with the clinical symptoms of MSA. In this study, we aimed to quantify plasma COQ10 and characterize its association with clinical features., Methods: We recruited 40 patients with MSA, 30 patients with Parkinson's disease (PD), and 30 healthy participants. Plasma COQ10 was quantified by UPLC-MS. The basic demographic data, motor symptoms, and non-motor symptoms were also assessed., Results: Plasma COQ10 levels were significantly different in MSA, PD, and controls (P = 0.001). Post-hoc analysis revealed plasma COQ10 levels in MSA patients were lower than that in controls after adjusting for age, gender, and total cholesterol (P = 0.001). COQ10 levels differentiated MSA patients from controls with modest accuracy (P = 0.001). A sensitivity of 40% and a specificity of 97.5% was calculated with the receiver operating characteristic curve. However, COQ 10 levels did not discriminate between the MSA and PD groups (P = 0.07). Plasma COQ10 levels were correlated with the severity of motor symptoms only in MSA-C patients (b = -0.025, P = 0.009)., Conclusion: The association between decreased COQ10 levels and the severity of motor symptoms in MSA-C patients promotes further research. Plasma COQ10 levels alone may not be a reliable MSA diagnostic biomarker, and cannot be considered a useful biomarker in the differential diagnosis of MSA vs PD., (Copyright © 2018 Elsevier Ltd. All rights reserved.)

Introduction: Multiple system atrophy (MSA), an adult-onset, fatal disorder of uncertain etiology, characterized by parkinsonism, cerebellar, autonomic and motor dysfunctions, is an α-synucleinopathy with glioneuronal degeneration involving multiple parts of the nervous system. The clinical variants correlate with the morphological phenotypes of striatonigral degeneration (MSA-P), olivoponto-cerebellar atrophy (MSA-C), and mixed type MSA. Neuropathological hallmark is the deposition of aberrant α-synuclein in glia and neurons forming cytoplasmic inclusions that cause cell dysfunction/demise. Areas covered: While our knowledge of the pathogenesis of this proteinopathy is still incomplete, updated consensus criteria and combined biomarkers have increased diagnostic accuracy. Multimodal imaging of structural and functional brain changes gives insight into the pathophysiology and may evaluate disease progression. Currently, the most useful CSF biomarkers are a combination of light chain neurofilament (elevated in MSA), catecholaminergic metabolites, and proteins (α-synuclein, DJ-1, tau). Several blood substances (neurofilament light chain, microRNAs) are non-invasive biomarkers. Expert commentary: Recent studies suggest that the combination of neuroimaging and fluid biomarkers may be more successful than using single markers to increase the accuracy of the clinical (differential) diagnosis of MSA. Multidisciplinary research to develop more reliable markers for a more exact and early diagnosis and targets for effective treatment are urgently needed.

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., (Copyright © 2015 Elsevier Inc. All rights reserved.)

Background: Low levels of serum urate are associated with a higher risk of Parkinson's disease (PD). Higher serum and cerebrospinal fluid (CSF) urate levels are associated with slower rates of clinical decline in PD and in multiple system atrophy (MSA)., Aims: To compare CSF and blood urate levels in healthy controls, patients with synucleinopathies and with tauopathies., Methods: We investigated urate levels in serum and CSF from 18 healthy controls, 19 patients with synucleinopathies (six patients with PD and 13 with MSA), and 24 patients with tauopathies (18 with progressive supranuclear palsy and six with corticobasal degeneration). None of the patients were treated with dopaminergic medications., Results: No significant differences were seen when comparing serum and CSF urate levels from controls across the parkinsonian diagnostic groups. However, in men, serum urate levels were significantly lower in the synucleinopathy group compared with the tauopathy group (P = 0.046), although with a broad overlap., Conclusion: Our study suggests that urate levels might provide new insights into the potential pathophysiological mechanisms underlying Parkinsonism and thereby contribute to the future management of these disorders., (© 2012 John Wiley & Sons A/S.)

Central catecholamine deficiency characterizes α-synucleinopathies such as Parkinson's disease. We hypothesized that cerebrospinal fluid levels of neuronal metabolites of catecholamines provide neurochemical biomarkers of these disorders. To test this hypothesis we measured cerebrospinal fluid levels of catechols including dopamine, norepinephrine and their main respective neuronal metabolites dihydroxyphenylacetic acid and dihydroxyphenylglycol in Parkinson's disease and two other synucleinopathies, multiple system atrophy and pure autonomic failure. Cerebrospinal fluid catechols were assayed in 146 subjects-108 synucleinopathy patients (34 Parkinson's disease, 54 multiple system atrophy, 20 pure autonomic failure) and 38 controls. In 14 patients cerebrospinal fluid was obtained before or within 2 years after the onset of parkinsonism. The Parkinson's disease, multiple system atrophy and pure autonomic failure groups all had lower cerebrospinal fluid dihydroxyphenylacetic acid [0.86 ± 0.09 (SEM), 1.00 ± 0.09, 1.32 ± 0.12 nmol/l] than controls (2.15 ± 0.18 nmol/l; P < 0.0001; P < 0.0001; P = 0.0002). Dihydroxyphenylglycol was also lower in the three synucleinopathies (8.82 ± 0.44, 7.75 ± 0.42, 5.82 ± 0.65 nmol/l) than controls (11.0 ± 0.62 nmol/l; P = 0.009, P < 0.0001, P < 0.0001). Dihydroxyphenylacetic acid was lower and dihydroxyphenylglycol higher in Parkinson's disease than in pure autonomic failure. Dihydroxyphenylacetic acid was 100% sensitive at 89% specificity in separating patients with recent onset of parkinsonism from controls but was of no value in differentiating Parkinson's disease from multiple system atrophy. Synucleinopathies feature cerebrospinal fluid neurochemical evidence for central dopamine and norepinephrine deficiency. Parkinson's disease and pure autonomic failure involve differential dopaminergic versus noradrenergic lesions. Cerebrospinal fluid dihydroxyphenylacetic acid seems to provide a sensitive means to identify even early Parkinson's disease.