Peggy Taylor

The Parkinson Progression Marker Initiative (PPMI)

The Parkinson Progression Marker Initiative (PPMI) is a comprehensive observational, international, multi-center study designed to identify PD progression biomarkers both to improve understanding of disease etiology and course and to provide crucial tools to enhance the likelihood of success of PD modifying therapeutic trials. The PPMI cohort will comprise 400 recently diagnosed PD and 200 healthy subjects followed longitudinally for clinical, imaging and biospecimen biomarker assessment using standardized data acquisition protocols at twenty-one clinical sites. All study data will be integrated in the PPMI study database and will be rapidly and publically available through the PPMI web site- www.ppmi-info.org. Biological samples including longitudinal collection of blood, cerebrospinal fluid (CSF) and urine will be available to scientists by application to an independent PPMI biospecimen review committee also through the PPMI web site. PPMI will rely on a partnership of government, PD foundations, industry and academics working cooperatively. This approach is crucial to enhance the potential for success of this ambitious strategy to develop PD progression biomarkers that will accelerate research in disease modifying therapeutics.

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 Parkinsons 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 Parkinsons 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 Parkinsons 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.

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 Parkinsons Disease Rating Scale I (d 0.39; CI 0.09–0.70), the Autonomic Scale for Outcomes in Parkinsons 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.

CSF biomarkers associated with disease heterogeneity in early Parkinson’s disease: the Parkinson’s Progression Markers Initiative study

The development of biomarkers to predict the progression of Parkinson’s disease (PD) from its earliest stage through its heterogeneous course is critical for research and therapeutic development. The Parkinson’s Progression Markers Initiative (PPMI) study is an ongoing international multicenter, prospective study to validate biomarkers in drug-naïve PD patients and matched healthy controls (HC). We quantified cerebrospinal fluid (CSF) alpha-synuclein (α-syn), amyloid-beta1-42 (Aβ1-42), total tau (t-tau), and tau phosphorylated at Thr181 (p-tau) in 660 PPMI subjects at baseline, and correlated these data with measures of the clinical features of these subjects. We found that CSF α-syn, t-tau and p-tau levels, but not Aβ1-42, were significantly lower in PD compared with HC, while the diagnostic value of the individual CSF biomarkers for PD diagnosis was limited due to large overlap. The level of α-syn, but not other biomarkers, was significantly lower in PD patients with non-tremor-dominant phenotype compared with tremor-dominant phenotype. In addition, in PD patients the lowest Aβ1-42, or highest t-tau/Aβ1-42 and t-tau/α-syn quintile in PD patients were associated with more severe non-motor dysfunction compared with the highest or lowest quintiles, respectively. In a multivariate regression model, lower α-syn was significantly associated with worse cognitive test performance. APOE ε4 genotype was associated with lower levels of Aβ1-42, but neither with PD diagnosis nor cognition. Our data suggest that the measurement of CSF biomarkers in early-stage PD patients may relate to disease heterogeneity seen in PD. Longitudinal observations in PPMI subjects are needed to define their prognostic performance.

Validation of a quantitative cerebrospinal fluid alpha-synuclein assay in a European-wide interlaboratory study

Decreased levels of alpha-synuclein (aSyn) in cerebrospinal fluid (CSF) in Parkinsons disease and related synucleinopathies have been reported, however, not consistently in all cross-sectional studies. To test the performance of one recently released human-specific enzyme-linked immunosorbent assay (ELISA) for the quantification of aSyn in CSF, we carried out a round robin trial with 18 participating laboratories trained in CSF ELISA analyses within the BIOMARKAPD project in the EU Joint Program - Neurodegenerative Disease Research. CSF samples (homogeneous aliquots from pools) and ELISA kits (one lot) were provided centrally and data reported back to one laboratory for data analysis. Our study showed that although factors such as preanalytical sample handling and lot-to-lot variability were minimized by our study design, we identified high variation in absolute values of CSF aSyn even when the same samples and same lots of assays were applied. We further demonstrate that although absolute concentrations differ between laboratories the quantitative results are comparable. With further standardization this assay may become an attractive tool for comparing aSyn measurements in diverse settings. Recommendations for further validation experiments and improvement of the interlaboratory results obtained are given.

Longitudinal CSF biomarkers in patients with early Parkinson disease and healthy controls

Objective: To analyze longitudinal levels of CSF biomarkers in drug-naive patients with Parkinson disease (PD) and healthy controls (HC), examine the extent to which these biomarker changes relate to clinical measures of PD, and identify what may influence them. Methods: CSF α-synuclein (α-syn), total and phosphorylated tau (t- and p-tau), and β-amyloid 1–42 (Aβ42) were measured at baseline and 6 and 12 months in 173 patients with PD and 112 matched HC in the international multicenter Parkinsons Progression Marker Initiative. Baseline clinical and demographic variables, PD medications, neuroimaging, and genetic variables were evaluated as potential predictors of CSF biomarker changes. Results: CSF biomarkers were stable over 6 and 12 months, and there was a small but significant increase in CSF Aβ42 in both patients with patients with PD and HC from baseline to 12 months. The t-tau remained stable. The p-tau increased marginally more in patients with PD than in HC. α-syn remained relatively stable in patients with PD and HC. Ratios of p-tau/t-tau increased, while t-tau/Aβ42 decreased over 12 months in patients with PD. CSF biomarker changes did not correlate with changes in Movement Disorder Society–sponsored revision of the Unified Parkinson’s Disease Rating Scale motor scores or dopamine imaging. CSF α-syn levels at 12 months were lower in patients with PD treated with dopamine replacement therapy, especially dopamine agonists. Conclusions: These core CSF biomarkers remained stable over 6 and 12 months in patients with early PD and HC. PD medication use may influence CSF α-syn. Novel biomarkers are needed to better profile progressive neurodegeneration in PD.

Mitochondrial DNA in CSF distinguishes LRRK2 from idiopathic Parkinson's disease

Mitochondrial DNA regulates mitochondrial function which is altered in both idiopathic and familial forms of Parkinsons disease. To investigate whether these two disease forms exhibit an altered regulation of mitochondrial DNA we measured cell free mitochondrial DNA content in cerebrospinal fluid (CSF) from idiopathic and LRRK2-related Parkinsons disease patients. The concentration of mitochondrial DNA was measured using a digital droplet polymerase chain reaction technique in a total of 98 CSF samples from a cohort of subjects including: 20 LRRK2(G2019S) mutation carriers with Parkinsons disease, 26 asymptomatic LRRK2(G2019S) mutation carriers, 31 patients with idiopathic Parkinsons disease and 21 first-degree relatives of LRRK2 Parkinsons disease patients without the mutation. Here we report that LRRK2(G2019S) mutation carriers with Parkinsons disease exhibit a high concentration of mitochondrial DNA in CSF compared with asymptomatic LRRK2(G2019S) mutation carriers and with idiopathic Parkinsons disease patients. In addition, idiopathic, but not LRRK2 Parkinsons disease is associated with low CSF concentration of α-synuclein. These results show that high mitochondrial DNA content in CSF distinguishes idiopathic from LRRK2-related Parkinsons disease suggesting that different biochemical pathways underlie neurodegeneration in these two disorders.

Cerebrospinal fluid, plasma, and saliva in the BioFIND study: Relationships among biomarkers and Parkinson's disease Features

Objective: Examine relationships among neurodegenerative biomarkers and PD motor and nonmotor symptoms.

A user's guide for α-synuclein biomarker studies in biological fluids: Perianalytical considerations

Parkinsons disease biomarkers are needed to increase diagnostic accuracy, to objectively monitor disease progression and to assess therapeutic efficacy as well as target engagement when evaluating novel drug and therapeutic strategies. This article summarizes perianalytical considerations for biomarker studies (based on immunoassays) in Parkinsons disease, with emphasis on quantifying total α‐synuclein protein in biological fluids. Current knowledge and pitfalls are discussed, and selected perianalytical variables are presented systematically, including different temperature of sample collection and types of collection tubes, gradient sampling, the addition of detergent, aliquot volume, the freezing time, and the different thawing methods. We also discuss analytical confounders. We identify gaps in the knowledge and delineate specific areas that require further investigation, such as the need to identify posttranslational modifications of α‐synuclein and antibody‐independent reference methods for quantification, as well as the analysis of potential confounders, such as comorbidities, medication, and phenotypes of Parkinsons disease in larger cohorts. This review could be used as a guideline for future Parkinsons disease biomarker studies and will require regular updating as more information arises in this growing field, including new technical developments as they become available. In addition to reviewing best practices, we also identify the current technical limitations and gaps in the knowledge that should be addressed to enable accurate and quantitative assessment of α‐synuclein levels in the clinical setting.

Reply To: Detection of Alpha-Synuclein in Saliva: The Importance of Preanalytical Assessment: Alpha-Synuclein in Saliva

We thank Dr. Vivacqua and colleagues for their interest in our article and appreciation of the importance of easily accessible, noninvasive biomarkers such as saliva measures and the potential value of comparing different biological fluids with understand neurodegenerative mechanisms. Here, we address the 3 preanalytical aspects brought up by Vivacqua et al, which are important issues to consider when working with biofluid assays.