Accurate Detection of α-Synuclein Seeds in Cerebrospinal Fluid from Isolated Rapid Eye Movement Sleep Behavior Disorder and Patients with Parkinson's Disease in the DeNovo Parkinson (DeNoPa) Cohort.

BACKGROUND: Misfolded α-synuclein (αSyn) aggregates (αSyn-seeds) in cerebrospinal fluid (CSF) are biomarkers for synucleinopathies such as Parkinson's disease (PD). αSyn-seeds have been detected in prodromal cases with isolated rapid eye movement sleep behavior disorder (iRBD). OBJECTIVES: The objective of this study was to determine the accuracy of the αSyn-seed amplification assay (αS-SAA) in a comprehensively characterized cohort with a high proportion of PD and iRBD CSF samples collected at baseline. METHODS: We used a high-throughput αS-SAA to analyze 233 blinded CSF samples from 206 participants of the DeNovo Parkinson Cohort (DeNoPa) (113 de novo PD, 64 healthy controls, 29 iRBD confirmed by video polysomnography). Results were compared with the final diagnosis, which was determined after up to 10 years of longitudinal clinical evaluations, including dopamine-transporter-single-photon emission computed tomography (DAT-SPECT) at baseline, CSF proteins, Movement Disorder Society-Unified Parkinson's Disease Rating Scale, and various cognitive and nonmotor scales. RESULTS: αS-SAA detected αSyn-seeds in baseline PD-CSF with 98% accuracy. αSyn-seeds were detected in 93% of the iRBD cases. αS-SAA results showed higher agreement with the final than the initial diagnosis, as 14 patients were rediagnosed as non-αSyn aggregation disorder. For synucleinopathies, αS-SAA showed higher concordance with the final diagnosis than DAT-SPECT. Statistically significant correlations were found between assay parameters and disease progression. CONCLUSIONS: Our results confirm αS-SAA accuracy at the first clinical evaluation when a definite diagnosis is most consequential. αS-SAA conditions reported here are highly sensitive, enabling the detection of αSyn-seeds in CSF from iRBD just months after the first symptoms, suggesting that αSyn-seeds are present in the very early prodromal phase of synucleinopathies. Therefore, αSyn-seeds are clear risk markers for synuclein-related disorders, but not for time of phenoconversion. © 2023 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.

Blood Markers of Inflammation, Neurodegeneration, and Cardiovascular Risk in Early Parkinson's Disease.

BACKGROUND: Recent studies point toward a significant impact of cardiovascular processes and inflammation on Parkinson's disease (PD) progression. OBJECTIVE: The aim of this study was to assess established markers of neuronal function, inflammation, and cardiovascular risk by high-throughput sandwich immune multiplex panels in deeply phenotyped PD. METHODS: Proximity Extension Assay technology on 273 markers was applied in plasma of 109 drug-naive at baseline (BL) patients with PD (BL, 2-, 4-, and 6-year follow-up [FU]) and 96 healthy control patients (HCs; 2- and 4-year FU) from the de novo Parkinson's cohort. BL plasma from 74 individuals (37 patients with PD, 37 healthy control patients) on the same platform from the Parkinson Progression Marker Initiative was used for independent validation. Correlation analysis of the identified markers and 6 years of clinical FU, including motor and cognitive progression, was evaluated. RESULTS: At BL, 35 plasma markers were differentially expressed in PD, showing downregulation of atherosclerotic risk markers, eg, E-selectin and ß2 -integrin. In contrast, we found a reduction of markers of the plasminogen activation system, eg, urokinase plasminogen activator. Neurospecific markers indicated increased levels of peripheral proteins of neurodegeneration and inflammation, such as fibroblast growth factor 21 and peptidase inhibitor 3. Several markers, including interleukin-6 and cystatin B, correlated with cognitive decline and progression of motor symptoms during FU. These findings were independently validated in the Parkinson Progression Marker Initiative. CONCLUSIONS: We identified and validated possible PD plasma biomarker candidates for state, fate, and disease progression, elucidating new molecular processes with reduced endothelial/atherosclerotic processes, increased thromboembolic risk, and neuroinflammation. Further investigations and validation in independent and larger longitudinal cohorts are needed. © 2022 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.

Longitudinal Change and Progression Indicators Using the Movement Disorder Society-Unified Parkinson's Disease Rating Scale in Two Independent Cohorts with Early Parkinson's Disease.

BACKGROUND: The MDS-Unified Parkinson's disease (PD) Rating Scale (MDS-UPDRS) is the most used scale in clinical trials. Little is known about the predictive potential of its single items. OBJECTIVE: To systematically dissect MDS-UPDRS to predict PD progression. METHODS: 574 de novo PD patients and 305 healthy controls were investigated at baseline (BL) in the single-center DeNoPa (6-year follow-up) and multi-center PPMI (8-year follow-up) cohorts. We calculated cumulative link mixed models of single MDS-UPDRS items for odds ratios (OR) for class change within the scale. Models were adjusted for age, sex, time, and levodopa equivalent daily dose. Annual change and progression of the square roots of the MDS-UDPRS subscores and Total Score were estimated by linear mixed modeling. RESULTS: Baseline demographics revealed more common tremor dominant subtype in DeNoPa and postural instability and gait disorders-subtype and multiethnicity in PPMI. Subscore progression estimates were higher in PPMI but showed similar slopes and progression in both cohorts. Increased ORs for faster progression were found from BL subscores I and II (activities of daily living; ADL) most marked for subscore III (rigidity of neck/lower extremities, agility of the legs, gait, hands, and global spontaneity of movements). Tremor items showed low ORs/negative values. CONCLUSION: Higher scores at baseline for ADL, freezing, and rigidity were predictors of faster deterioration in both cohorts. Precision and predictability of the MDS-UPDRS were higher in the single-center setting, indicating the need for rigorous training and/or video documentation to improve its use in multi-center cohorts, for example, clinical trials.

Baseline predictors for progression 4 years after Parkinson's disease diagnosis in the De Novo Parkinson Cohort (DeNoPa).

OBJECTIVES: The objectives of this study were to investigate (1) the annual rate of progression of motor and cognitive symptoms and (2) baseline predictors of different modalities for this progression in early Parkinson's disease (PD) when compared with healthy controls. METHODS: A total of 135 de novo PD and 109 healthy controls (of the De Novo Parkinson cohort) were investigated at baseline and after 24 and 48 months. To delineate motor progression and cognitive decline, the Movement Disorder Society-Unified Parkinson's Disease Rating Scale part III (MDS-UPDRS III) and the Mini-Mental Status Examination (MMSE) were selected. Baseline variables used to predict progression included sociodemographic factors, comorbidities, motor/nonmotor symptoms, polysomnography, MRI, and laboratory biomarkers in serum and CSF. RESULTS: Symptoms worsened over 4 years in PD with an annual change of 1.8 points on the MDS-UPDRS III and 0.2 points on the MMSE. Baseline predictors of worse progression of motor symptoms in PD included male sex, orthostatic blood pressure drop, diagnosis of coronary artery disease, arterial hypertension, elevated serum uric acid, and CSF neurofilament light chain. Predictors of cognitive decline in PD included previous heavy alcohol abuse, current diagnoses of diabetes mellitus, arterial hypertension, elevated periodic limb movement index during sleep, decreased hippocampal volume by MRI, higher baseline levels of uric acid, C-reactive protein, high density lipoprotein (HDL) cholesterol, and glucose levels. CONCLUSION: Cardiovascular risk factors, deregulated blood glucose, uric acid metabolism, and inflammation were identified as risk markers for faster disease progression. Our panel of risk parameters needs validation during our continuing follow-up and also in independent patient cohorts. © 2018 International Parkinson and Movement Disorder Society.

Drug Safety Analysis in a Real-Life Cohort of Parkinson's Disease Patients with Polypharmacy.

BACKGROUND: Polypharmacy is common in geriatric Parkinson's disease (PD) patients in advanced disease stages with multiple comorbidities, bearing multiple risks for drug safety in theory. OBJECTIVE: The aim of this study was to empirically identify the most frequent and relevant contraindications and drug interactions actually occurring and compromising drug safety in PD in real life. METHODS: We conducted a prospective observational study in a multimorbid cohort of PD patients with polypharmacy admitted to a specialized hospital. Inclusion criteria were the presence of at least one comorbidity requiring pharmacotherapy and at least five different drugs in the discharge prescription. Hoehn and Yahr stage during the 'on' state, therapeutic problems related to motor and non-motor PD symptoms, comorbidities, and drug regimens on admission and discharge were analyzed for contraindications and interactions. RESULTS: Overall, 127 patients were included (medium Hoehn and Yahr stage = IV, range II-V). Interactions with the anti-PD medication were mainly caused by other central nervous system (CNS)-active substances, cytochrome P450-metabolized substances, and QT-time prolonging substances. Contraindications against the anti-PD medication mainly occurred from internal, haematopoietic, neurologic and psychiatric diseases, and QT-time prolonging drugs. The highest frequency of interactions and contraindications were identified with levodopa (n = 119 at admission/n = 126 at discharge), entacapone (n = 46/42), pramipexole (n = 44/24), and amantadine (n = 32/30). CONCLUSIONS: Several medically relevant risk factors (interactions and contraindications) frequently occurred in advanced PD patients. These findings provide a basis for developing programmes for awareness, education, monitoring, and preventive interventions to avoid adverse incidents. Future studies will need to evaluate preventive efficacy of structured drug safety programmes.

Acute Levodopa Challenge Test in Patients with de novo Parkinson's Disease: Data from the DeNoPa Cohort.

BACKGROUND: The precise clinical diagnosis of Parkinson's disease (PD) can be difficult in the early stages. Diagnostic criteria include the response of key motor features to levodopa as a supportive prospective criterion. Data are sparse on the diagnostic value of the acute levodopa challenge test (LDCT) in patients with de novo PD. The objective of this study was to validate the LDCT as a tool in the early clinical diagnosis of PD. METHODS: We performed the standardized LDCT with 250 mg levodopa in the prospective longitudinal cohort study "DeNoPa," comprising 159 patients with de novo PD, and carried out longitudinal clinical follow-up for 24 months. Motor assessments at baseline using the motor part (part III) of the Unified Parkinson's Disease Rating Scale before and 1 hr after drug administration were documented. The optimal cutoff score on the LDCT was calculated using the Youden index. RESULTS: Clinical reassessment of 144 patients who returned for follow-up confirmed the diagnosis of PD in 120 patients (83%). In 24 patients (17%), the initial diagnoses were revised and classified as other neurologic disorders. The optimal cutoff at 33% improvement of motor symptoms on the part 3 of the Unified Parkinson's Disease Rating Scale during the LDCT reached a sensitivity of 70% a specificity of 71%. The positive and negative predictive values were 92% and 32%, respectively. Sensitivity (91%), specificity (79%), and positive/negative (96%/63%) predictive values improved with the addition of further clinical information (urinary incontinence, fainting, asymmetric tremor, and amount of further drug-intake). CONCLUSIONS: The LDCT is a reliable tool in the early diagnosis of PD. The accuracy of this test can be further improved by additional, easy-to-acquire clinical information provided by patients. © 2017 International Parkinson and Movement Disorder Society.

Apolipoprotein E ε4 does not affect cognitive performance in patients with Parkinson's disease.

INTRODUCTION: Cognitive impairment is a common and disabling non-motor symptom in Parkinson's disease (PD). The apolipoprotein E (APOE) allele ε4 is a known risk factor for Alzheimer's disease and has also been suggested to be a risk factor for dementia in PD and even a predictor of impairment in certain cognitive domains. METHODS: A total of 447 PD patients (PD patients without cognitive impairment: n = 187; PD patients with mild cognitive impairment: n = 188; PD patients with dementia: n = 72) were included from an ongoing observational German multicenter cohort study (LANDSCAPE study). All patients underwent an extensive neuropsychological test battery, including assessments of memory, visuospatial functioning, attention, language, and executive function. APOE genotype was determined by an allelic discrimination assay. Linear regression analysis was used to explore the associations between APOE-ε4 and cognitive performance. RESULTS: The APOE-ε4 allele was not associated with a diagnosis of cognitive impairment in PD (PD with mild cognitive impairment and PD with dementia) or with deficits in specific neuropsychological domains in our study cohort. CONCLUSION: Our data question the relevance of the APOE-ε4 allele as a predictor of cognitive impairment in PD.

Monitoring of 30 marker candidates in early Parkinson disease as progression markers.

OBJECTIVE: This was a longitudinal single-center cohort study to comprehensively explore multimodal progression markers for Parkinson disease (PD) in patients with recently diagnosed PD (n = 123) and age-matched, neurologically healthy controls (HC; n = 106). METHODS: Thirty tests at baseline and after 24 months covered nonmotor symptoms (NMS), cognitive function, and REM sleep behavior disorder (RBD) by polysomnography (PSG), voxel-based morphometry (VBM) of the brain by MRI, and CSF markers. Linear mixed-effect models were used to estimate differences of rates of change and to provide standardized effect sizes (d) with 95% confidence intervals (CI). RESULTS: A composite panel of 10 informative markers was identified. Significant relative worsening (PD vs HC) was seen with the following markers: the Unified Parkinson's Disease Rating Scale I (d 0.39; CI 0.09-0.70), the Autonomic Scale for Outcomes in Parkinson's Disease (d 0.25; CI 0.06-0.46), the Epworth Sleepiness Scale (d 0.47; CI 0.24-0.71), the RBD Screening Questionnaire (d 0.44; CI 0.25-0.64), and RBD by PSG (d 0.37; CI 0.19-0.55) as well as VBM units of cortical gray matter (d -0.2; CI -0.3 to -0.09) and hippocampus (d -0.15; CI -0.27 to -0.03). Markers with a relative improvement included the Nonmotor Symptom (Severity) Scale (d -0.19; CI -0.36 to -0.02) and 2 depression scales (Beck Depression Inventory d -0.18; CI -0.36 to 0; Montgomery-Åsberg Depression Rating Scale d -0.26; CI -0.47 to -0.04). Unexpectedly, cognitive measures and select laboratory markers were not significantly changed in PD vs HC participants. CONCLUSIONS: Current CSF biomarkers and cognitive scales do not represent useful progression markers. However, sleep and imaging measures, and to some extent NMS, assessed using adequate scales, may be more informative markers to quantify progression.

Distinctive distribution of phospho-alpha-synuclein in dermal nerves in multiple system atrophy.

BACKGROUND: MSA is characterized by deposition of alpha-synuclein (α-Syn) in oligodendrocytes and central nervous system (CNS) neurons. After recently detecting phospho-α-Syn (p-α-Syn) in dermal nerve fibers of patients with Parkinson's disease (PD), we assessed skin biopsies from patients with MSA to evaluate its potential role as a biomarker. METHODS: Skin biopsies of patients with MSA (n = 12), idiopathic PD (n = 30), tauopathies (n = 15), and normal controls (n = 39) were analyzed. P-α-Syn within dermal nerves was detected by immunofluorescence staining. RESULTS: p-α-Syn was found in 67% of patients with MSA and Parkinson's disease, but not in patients with tauopathy or controls when analyzing 15 consecutive sections. Sensitivity could be increased to 75% and 73%, respectively, by analyzing serial sections. In contrast to PD, where p-α-Syn clustered in autonomic fibers, deposits were mainly found in unmyelinated somatosensory fibers in MSA. CONCLUSION: α-Syn pathology in MSA is not restricted to the CNS, and skin biopsy may be useful for the premortem study of p-α-Syn.

Cutaneous neuropathy in Parkinson's disease: a window into brain pathology.

The deposition of alpha-synuclein in the brain, the neuropathological hallmark of Parkinson's disease (PD), follows a distinct anatomical and temporal sequence. This study aimed to characterize alpha-synuclein deposition in cutaneous nerves from patients with PD. We further strived to explore whether peripheral nerve involvement is intrinsic to PD and reflective of known features of brain pathology, which could render it a useful tool for pathogenetic studies and pre-mortem histological diagnosis of PD. We obtained skin biopsies from the distal and proximal leg, back and finger of 31 PD patients and 35 controls and quantified the colocalization of phosphorylated alpha-synuclein in somatosensory and autonomic nerve fibers and the pattern of loss of different subtypes of dermal fibers. Deposits of phosphorylated alpha-synuclein were identified in 16/31 PD patients but in 0/35 controls (p < 0.0001). Quantification of nerve fibers revealed two types of peripheral neurodegeneration in PD: (1) a length-dependent reduction of intraepidermal small nerve fibers (p < 0.05) and (2) a severe non-length-dependent reduction of substance P-immunoreactive intraepidermal nerve fibers (p < 0.0001). The latter coincided with a more pronounced proximal manifestation of alpha-synuclein pathology in the skin. The histological changes did not correlate with markers of levodopa toxicity such as vitamin B12 deficiency. Our findings suggest that loss of peripheral nerve fibers is an intrinsic feature of PD and that peripheral nerve changes may reflect the two types of central alpha-synuclein-related PD pathology, namely neuronal death and axonal degeneration. Detection of phosphorylated alpha-synuclein in dermal nerve fibers might be a useful diagnostic test for PD with high specificity but low sensitivity.

Nonmotor and diagnostic findings in subjects with de novo Parkinson disease of the DeNoPa cohort.

OBJECTIVE: To determine nonmotor signs (NMS) and evaluate the utility of several diagnostic tools in patients with de novo Parkinson disease (PD). METHODS: This is a large single-center study of the DeNoPa cohort, including frequency-matched healthy controls. This study covers motor signs, NMS, and a combination of diagnostic tests including olfactory testing, transcranial sonography of substantia nigra (TCS), and polysomnography (PSG). We report the frequency and characteristics of NMS and the outcomes of nonmotor tests at the time of diagnosis. RESULTS: Cross-sectional analyses of baseline investigations identified significant differences in the NMS Questionnaire (NMSQuest) and the Scopa-AUT Gastrointestinal score in 159 drug-naïve PD patients vs 110 controls. In addition, patients with PD showed reduced olfactory function, hyperechogenicity on TCS, and higher frequency of REM sleep behavior disorder (RBD). In exploring predictive markers, we found that the combination of several investigations, i.e., the NMSQuest, Scopa-AUT Gastrointestinal score, and Smell Identification Test reached an area under the receiver operating characteristic curve (AUC) of 0.913 (95% confidence interval [CI] 0.878-0.948). With the addition of serum cholesterol and mean heart rate values, the AUC value reached 0.919 (95% CI 886-0.953); when TCS and PSG were added, the AUC increased to 0.963 (95% CI 0.943-0.982). CONCLUSIONS: We show feasibility and utility of standardized data acquisition in a large, single-center cohort of patients with de novo PD and matched healthy controls. The baseline results from our prospective investigations reached a value of >0.9 sensitivity and specificity for biological markers when we added routine laboratory investigations and quantified nonmotor features including sleep.

Total CSF α-synuclein is lower in de novo Parkinson patients than in healthy subjects.

Several studies demonstrated reduced CSF α-synuclein values in patients with advanced Parkinson's disease (PD). Values in drug-naïve PD subjects and healthy controls (HC) have not yet been reported. We measured CSF values including α-synuclein in a cohort of 78 previously untreated PD patients and 48 HC subjects. Measurements of total α-synuclein concentrations were performed using two independently operated immunoassays, i.e., one academia-based and previously validated (ELISA 1), the other industry-based, renewable and commercially available (ELISA 2). Mean values for CSF α-synuclein were significantly lower in de novo PD patients when compared to HC subjects, as demonstrated by both assays (ELISA 1, p=0.049; ELISA 2, p=0.005; combined, p=0.002). Using the renewable ELISA 2, CSF α-synuclein concentrations of 1884.31 pg/ml or less showed a sensitivity of 0.91 and a specificity of 0.25 for the diagnosis of Parkinson's disease. The corresponding area-under-the-curve value was 0.65 (confidence interval, 0.554-0.750), which was statistically significant (p=0.004). Total CSF α-synuclein is reduced early in the course of Parkinson's disease, as measured by two independent ELISA platforms at the time of enrolment, and this reduction appears independent from drug treatment. Follow-up investigations will determine the usefulness of CSF α-synuclein values as markers of progression in individual subjects.

Individual voxel-based subtype prediction can differentiate progressive supranuclear palsy from idiopathic Parkinson syndrome and healthy controls.

Voxel-based morphometry (VBM) shows a differentiated pattern in patients with atypical Parkinson syndrome but so far has had little impact in individual cases. It is desirable to translate VBM findings into clinical practice and individual classification. To this end, we examined whether a support vector machine (SVM) can provide useful accuracies for the differential diagnosis. We acquired a volumetric 3D T1-weighted MRI of 21 patients with idiopathic Parkinson syndrome (IPS), 11 multiple systems atrophy (MSA-P) and 10 progressive supranuclear palsy (PSP), and 22 healthy controls. Images were segmented, normalized, and compared at group level with SPM8 in a classical VBM design. Next, a SVM analysis was performed on an individual basis with leave-one-out cross-validation. VBM showed a strong white matter loss in the mesencephalon of patients with PSP, a putaminal grey matter loss in MSA, and a cerebellar grey matter loss in patients with PSP compared with IPS. The SVM allowed for an individual classification in PSP versus IPS with up to 96.8% accuracy with 90% sensitivity and 100% specificity. In MSA versus IPS, an accuracy of 71.9% was achieved; sensitivity, however, was low with 36.4%. Patients with IPS could not be differentiated from controls. In summary, a voxel-based SVM analysis allows for a reliable classification of individual cases in PSP that can be directly clinically useful. For patients with MSA and IPS, further developments like quantitative MRI are needed.

Substantia nigra echogenicity in progressive supranuclear palsy.

A normoechogenic substantia nigra (SN) is a typical finding in transcranial sonography in patients with progressive supranuclear palsy (PSP), whereas in patients with Parkinson's disease a hyperechogenic SN is characteristic. A recent classification scheme recommends the differentiation of PSP patients into those with Richardson's syndrome (RS) and those with PSP-Parkinsonism (PSP-P). We investigated 34 PSP patients (27 RS, 7 PSP-P) with ultrasound of the substantia nigra in search of differentiations in the two groups. We found that most of the PSP-P patients, according to recently published criteria, had a hyperechogenic SN (6 of 7): right (cm(2)) median 0.22, 25% percentile 0.21 and 75% percentile 0.36 (cm(2)); left (cm(2)) median 0.21, 25% percentile 0.20 and 75% percentile 0.30 and a normal third ventricle (mean mm) +/-SD: 7.1 +/- 2.43). In RS patients a normoechogenic SN (26 of 27) and an enlarged third ventricle (mean mm) +/-SD: 10.3 +/- 2.41) was found. These differences may elucidate the pathological differences of RS and PSP-P.