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  • Long-Term Dementia Risk in Parkinson Disease

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    Participants from the Parkinson's Progression Markers Initiative (PPMI), a multisite international study, and a long-standing PD research cohort at the University of Pennsylvania (Penn), a single site study at a tertiary movement disorders center, were recruited. PPMI enrolled de novo, untreated PD participants and Penn a convenience cohort from a large clinical center. For PPMI, a cognitive battery is administered annually, and a site investigator makes a cognitive diagnosis. At Penn, a comprehensive cognitive battery is administered either annually or biennially, and a cognitive diagnosis is made by expert consensus. Interval-censored survival curves were fit for time from PD diagnosis to stable dementia diagnosis for each cohort, using cognitive diagnosis of dementia as the primary end point and Montreal Cognitive Assessment (MoCA) score <21 and Movement Disorder Society—Unified Parkinson's Disease Rating Scale (MDS-UPDRS) Part I cognition score ≥3 as secondary end points for PPMI. In addition, estimated dementia probability by PD disease duration was tabulated for each study and end point. For the PPMI cohort, 417 participants with PD (mean age 61.6 years, 65% male) were followed, with an estimated probability of dementia at year 10 disease duration of 9% (site investigator diagnosis), 15% (MoCA), or 12% (MDS-UPDRS Part I cognition). For the Penn cohort, 389 participants with PD (mean age 69.3 years, 67% male) were followed, with 184 participants (47% of cohort) eventually diagnosed with dementia. The interval-censored curve for the Penn cohort had a median time to dementia of 15 years (95% CI 13–15); the estimated probability of dementia was 27% at 10 years of disease duration, 50% at 15 years, and 74% at 20 years.

  • Neuronal alpha-Synuclein Disease integrated staging system performance in PPMI, PASADENA, and SPARK baseline cohorts

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    The Neuronal alpha-Synuclein Disease (NSD) biological definition and Integrated Staging System (NSD-ISS) provide a research framework to identify individuals with Lewy body pathology and stage them based on underlying biology and increasing degree of functional impairment. Utilizing data from the PPMI, PASADENA, and SPARK studies, we developed and applied biologic and clinical data-informed definitions for the NSD-ISS across the disease continuum. Individuals enrolled as Parkinson’s disease, Prodromal, or Healthy Controls were defined and staged based on biological, clinical, and functional anchors at baseline. Across the three studies 1741 participants had SAA data and of these 1030 (59%) were S+ consistent with NSD. Among sporadic PD, 683/736 (93%) were NSD, and the distribution for Stages 2B, 3, and 4 was 25%, 63%, and 9%, respectively. Median (95% CI) time to developing a clinically meaningful outcome was 8.3 (6.2, 10.1), 5.9 (4.1, 6.0), and 2.4 (1.0, 4.0) years for baseline stage 2B, 3, and 4, respectively. We propose pilot biologic and clinical anchors for NSD-ISS. Our results highlight the baseline heterogeneity of individuals currently defined as early PD. Baseline stage predicts time to progression to clinically meaningful milestones. Further research on validation of the anchors in longitudinal cohorts is necessary.

  • Serum Uric Acid as a Putative Biomarker in Prodromal Parkinson’s Disease: Longitudinal Data from the PPMI Study

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    Our present study assessed the role of serum uric acid as a putative biomarker in a prodromal PD cohort followed longitudinally. After adjusting for age, sex, body mass index, and concomitant disorders (hypertension/gout), baseline and longitudinal serum uric acid levels were higher in the RBD subgroup as compared to the established PD cohort (p = 0.004 and p = 0.001). (Baseline RBD 6.07±1.6 vs. Baseline PD 5.35±1.3 mg/dL and Year-5 RBD 5.7±1.3 vs. Year-5 PD 5.26±1.33). This was also true for longitudinal measurements in the Hyposmic subgroup (p = 0.008) (Baseline Hyposmic 5.7±1.6 vs. PD 5.35±1.3 mg/dL and Year-5 Hyposmic 5.58±1.6 vs. PD 5.26±1.33).

  • Staged Screening Identifies People with Biomarkers Related to Neuronal Alpha-Synuclein Disease

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    Remote identification of individuals with severe hyposmia may enable scalable recruitment of participants with underlying alpha-synuclein aggregation. We evaluated the performance of a staged screening paradigm using remote smell testing to enrich for abnormal dopamine transporter single-photon emission computed tomography imaging (DAT-SPECT) and alpha-synuclein aggregation. The Parkinson's Progression Markers Initiative (PPMI) recruited participants for the prodromal cohort who were 60-years and older without a Parkinson's disease diagnosis. Participants were invited to complete a University of Pennsylvania Smell Identification Test (UPSIT) independently through an online portal. Hyposmic participants were invited to complete DAT-SPECT, which determined eligibility for enrollment in longitudinal assessments and further biomarker evaluation including cerebrospinal fluid alpha-synuclein seed amplification assay (aSynSAA). As of January 29, 2024, 49,843 participants were sent an UPSIT and 31,293 (63%) completed it. Of UPSIT completers, 8,301 (27%) scored <15th percentile. Of 1,546 who completed DAT-SPECT, 1,060 (69%) had DAT-SPECT binding <100% expected for age and sex. Participants with an UPSIT <10th percentile (n = 1,221) had greater likelihood of low DAT-SPECT binding compared to participants with an UPSIT in the 10th to 15th percentile (odds ratio, 3.01; 95% confidence interval, 1.85–4.91). Overall, 55% (198/363) of cases with UPSIT <15th percentile and DAT-SPECT <100% had positive aSynSAA, which increased to 70% (182/260) when selecting for more severe hyposmia (UPSIT <10th percentile).

  • Combined detrimental effect of male sex and GBA1 variants on cognitive decline in Parkinson’s Disease

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    Heterozygous variants in the glucocerebrosidase gene (GBA1) are the major genetic risk factor for Parkinson’s Disease (PD). GBA-PD has been associated with worse progression and higher risk of cognitive decline. Here we took advantage of the Parkinson’s Progression Markers Initiative (PPMI) to investigate whether sex could interact with GBA1 carrier status in determining the clinical phenotype, with a special focus on cognitive decline. Heterozygous variants in the glucocerebrosidase gene (GBA1) are the major genetic risk factor for Parkinson’s Disease (PD). GBA-PD has been associated with worse progression and higher risk of cognitive decline. Here we took advantage of the Parkinson’s Progression Markers Initiative (PPMI) to investigate whether sex could interact with GBA1 carrier status in determining the clinical phenotype, with a special focus on cognitive decline. Regardless of genotype, men suffering from PD exhibited higher motor disability while women showed more autonomic dysfunction. At baseline, GBA-PD showed more severe motor and non-motor features, and reduced dopamine uptake in the bilateral ventral putamen compared to nonGBA-PD. Within the GBA-PD group, males had higher occurrence of REM sleep behavior disorder and memory deficits. Of note, GBA-PD females showed a greater striatal dopaminergic deficit compared to males, despite presenting similar motor impairment. In longitudinal assessment, Cox Regression revealed that male sex (HR = 1.7), GBA1 carrier status (HR =1.6) and, most importantly, GBA-by-male sex interaction (HR = 2.3) were significantly associated with a steeper cognitive decline. Upon stratification for GBA1 variant class, both “severe” and “mild” variants were associated with increased risk of cognitive decline, again more relevant in males (HR = 2.3). We show, for the first time, that male sex and GBA1 carrier status have an additive value in increasing the risk of cognitive decline in PD, despite the heightened dopaminergic vulnerability observed in GBA-PD females. The effect of sex on GBA1-related pathology warrants further examination and should be considered in future trials design and patients’ selection.

  • LRRK2-associated parkinsonism with and without in vivo evidence of alpha-synuclein aggregates: longitudinal clinical and biomarker characterization

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    Among LRRK2-associated parkinsonism cases with nigral degeneration, over two-thirds demonstrate evidence of pathologic alpha-synuclein, but many do not. Understanding the clinical phenotype and underlying biology in such individuals is critical for therapeutic development. Our objective was to compare clinical and biomarker features, and rate of progression over 4 years of follow-up, among LRRK2-associated parkinsonism cases with and without in vivo evidence of alpha-synuclein aggregates. Data were from the Parkinson’s Progression Markers Initiative, a multicentre prospective cohort study. The sample included individuals diagnosed with Parkinson disease with pathogenic variants in LRRK2. Presence of CSF alpha-synuclein aggregation was assessed with seed amplification assay. A range of clinician- and patient-reported outcome assessments were administered. Biomarkers included dopamine transporter scan, CSF amyloid-beta1-42, total tau, phospho-tau181, urine bis(monoacylglycerol)phosphate levels and serum neurofilament light chain. Linear mixed-effects (LMMs) models examined differences in trajectory in CSF-negative and CSF-positive groups. A total of 148 LRRK2 parkinsonism cases (86% with G2019S variant), 46 negative and 102 positive for CSF alpha-synuclein seed amplification assay, were included. At baseline, the negative group was older than the positive group and a greater proportion were female . Despite being older, the negative group had similar duration since diagnosis and similar motor rating scale though lower levodopa equivalents. Only 13 (29%) of the negative group were hyposmic, compared with 75 (77%) of the positive group. The negative group, compared with the positive group, had higher per cent-expected putamenal dopamine transporter binding for their age and sex . Serum neurofilament light chain was higher in the negative group compared with the positive group . In terms of longitudinal change, the negative group remained stable in functional rating scale score in contrast to the positive group who had a significant increase (worsening) of 0.729 per year (P = 0.037), but no other differences in trajectory were found. Among individuals diagnosed with Parkinson disease with pathogenic variants in the LRRK2 gene, we found clinical and biomarker differences in cases without versus with in vivo evidence of CSF alpha-synuclein aggregates. LRRK2 parkinsonism cases without evidence of alpha-synuclein aggregates as a group exhibit less severe motor manifestations and decline. The underlying biology in LRRK2 parkinsonism cases without evidence of alpha-synuclein aggregates requires further investigation.

  • Smell testing to identify early alpha-synucleinopathy among people with dream enactment behavior

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    __Background__ REM sleep behavior disorder (RBD) is an early manifestation of alpha-synucleinopathy in many cases. Dream enactment behavior (DEB), the clinical hallmark of RBD, has many etiologies and cannot be used alone to predict underlying alpha-synucleinopathy. We compared the proportion of people with alpha-synucleinopathy, as measured by CSF alpha-synuclein seed amplification assay (CSFasynSAA), between people with polysomnographic-confirmed RBD (RBD-PSG) and people who reported DEB on a questionnaire and were further selected with smell testing and DAT-SPECT. __Methods__ Participants were enrolled in the Parkinson’s Progression Marker Initiative (PPMI) and ≥60 years old without a diagnosis of Parkinson’s disease. Participants had either RBD-PSG or self-reported DEB. Self-reported DEB participants had to have hyposmia (<10th percentile for age/sex) and at least mild DAT-SPECT abnormality (<100% age/sex-expected). We compared CSFasynSAA between RBD-PSG and self-reported DEB with hyposmia (DEB+Hypos). RBD-PSG participants also underwent smell testing and DAT-SPECT; we determined the predictive value of these tests in RBD-PSG with regards to CSFasynSAA. __Results__ CSFasynSAA was positive in 171/240 (71%) of RBD-PSG and %) 180/210 (86%) of DEB+Hypos participants. Among RBD-PSG, hyposmia strongly predicted CSFasynSAA+ (PPV: 92% ). Smell identification was more accurate than DAT-SPECT in predicting CSFasynSAA+ in RBD-PSG (AUC for UPSIT: 0.89 ; AUC for DAT-SPECT: 0.65 ). __Conclusions__ Smell testing may be an effective and scalable method to identify people with alpha-synucleinopathy among those with self-reported DEB. Among individuals with RBD diagnosed by PSG, smell testing improved prediction of positive CSF alpha-synuclein biomarker.

  • Motor and nonmotor features of p.A53T alpha-synuclein PD vs idiopathic PD: longitudinal data from the PPMI study

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    Background and objectives The phenotype of p.A53T-α-synuclein (SNCA) mutation carriers with Parkinson’s disease (A53T-PD) appears more severe compared to idiopathic PD (iPD), however, information is limited. Here we conducted a comprehensive longitudinal study to investigate the progression of motor and nonmotor features of Α53Τ-PD compared to iPD. Methods Detailed longitudinal 3-year data, concerning both motor and non-motor features, of 16 p.A53T-PD and 48 iPD, matched for age (51–53 years) and disease duration (approximately 4 years) at baseline, were downloaded from the Parkinson's Progression Markers Initiative (PPMI) database and compared between the two groups. Additionally, a cognitive composite score was generated by five cognitive tests, focused more on executive/visuospatial function. Results At baseline, global cognitive function, as assessed by the Montreal Cognitive Assessment (MOCA), was not significantly different between the two groups, in contrast to tests evaluating executive/visuospatial function, including the composite score, which were worse in A53T-PD. There was a significant decline over time in all neuropsychological tests in A53T-PD, while iPD remained stable. A similar pattern was revealed for motor status and function, as well as autonomic function, which were similar between the two groups at baseline, but deteriorated significantly only in A53T-PD over time. Discussion A53T-PD patients present an accelerated decline in both motor and non-motor parameters, with an impairment in executive-visuospatial function occurring early in the disease process. Such data may set the stage for targeted disease-modifying therapies in this particular subtype, while generated data may be widely applicable to iPD, which is largely a sporadic synucleinopathy.

  • Predicting CSF α-Synuclein Seed Amplification Assay Status From Demographics and Clinical Data

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    Background and Objectives The alpha-synuclein (α-syn) CSF seed amplification assay (CSF SAA) presents a promising diagnostic for Parkinson disease (PD) and other synucleinopathies. The objective of this study was to develop and externally validate models to predict probabilities of α-syn positive or negative status in vivo in a mixture of people with and without PD using easily accessible clinical predictors. Methods Univariable and multivariable logistic regression models were developed in a cohort of participants from the Parkinson Progression Marker Initiative (PPMI) study to predict CSF α-syn status as measured by SAA. Models were externally validated in a cohort of participants from the Systemic Synuclein Sampling Study (S4) that had also measured CSF α-syn status using SAA. Results The PPMI model training/testing cohort included 1,260 participants, 37% of whom were female, with a mean (± standard deviation) age of 62.4 (±10.0) years. Among them, 76% had manifest PD with a mean disease duration of 1.2 (±1.6) years. Overall, 68.7% of the overall PPMI cohort (and 88.0% of those with manifest PD) had positive CSF α-syn SAA status results. Variables from the full multivariable model to predict CSF α-syn SAA status included age-specific and sex-specific University of Pennsylvania Smell Identification Test (UPSIT) percentile values, sex, self-reported frequency of constipation problems, leucine-rich repeat kinase 2 (LRRK2) genetic status and pathogenic variant, and GBA status. Internal performance of the model on PPMI data to predict CSF α-syn SAA status showed an area under the receiver operating characteristic curve (AUROC) of 0.921 and a sensitivity/specificity of 0.858/0.868. This model was applied to the external S4 cohort, which included 71 participants, 39% of whom were female, with a mean age of 63.0 (±8.0) years, and included 70.4% with manifest PD (for a mean 5.1 (±4.8) years). The model performed well, achieving an AUROC of 0.978 and a sensitivity/specificity of 0.958/0.870. Discussion Data-driven models using noninvasive clinical features can accurately predict CSF α-syn SAA positive and negative status in cohorts enriched for people living with PD. Scores from the UPSIT were highly significant in predicting α-syn SAA status.

  • Neuronal α-Synuclein Disease Stage Progression over 5 Years

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    Background Neuronal α-synuclein disease (NSD) is defined by the presence of an in vivo biomarker of neuronal alpha-synuclein (n-asyn) pathology. The NSD integrated staging system (NSD-ISS) for research describes progression across the disease continuum as stages 0 to 6. Objective The aim was to assess 5-year longitudinal change in NSD-ISS in early disease. Methods Analysis included a subset of participants from the Parkinson's Progression Markers Initiative (PPMI) enrolled before 2020 as Parkinson's disease (PD) patients, prodromal PD patients, or healthy controls (HC) who met NSD criteria. Staging was defined based on biomarkers of n-asyn and dopaminergic dysfunction in early stages, clinical features, and severity of functional impairment in stages 3 to 6. Stages were determined annually for 5 years. Results Of 576 NSD participants, 494 were enrolled as PD patients, 74 prodromal PD patients, and 8 HCs. At baseline, 24% of participants were stage 2B, 56% Stage 3, 13% stage 4, and less than 5% in other stages. At year 5, the respective percentages for stages 2B to 4 were 11%, 50%, and 34%, indicating progression through NSD stages. Progression was driven by functional impairment in the predominantly motor domain (95%) for stage 2B to 3, increasing degree of nonmotor dysfunction for stages 3 to 4 (46%), and a combination of domains for stages 4 to 5. Initiation of dopaminergic medications led to stage regression in 8% of participants in Stage 3 but 41% in stage 4. Conclusions Our analysis supports the utility of NSD-ISS in defining the stages of disease progression, at least in the early clinical and prodromal stages (2B, 3, or 4), suggesting the value of NSD-ISS as a potential research tool for drug development. Further research involving preclinical cohorts is a crucial next step. © 2025 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.

  • Contralateral spread of unilateral tremor in Parkinson’s Disease

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    __Background__ Parkinsonian tremor usually starts unilaterally. The mid-term prognosis of this lateralized tremor is unknown, as is the development of tremor in the contralateral arm. __Objective__ To investigate the emergence of contralateral tremor in the Parkinson-Progression-Marker-Initiative database, with data available for 7 years. __Methods__ Tremor Amenable for surgery (TAS) was defined as any rest, postural or kinetic tremor with amplitude >1 cm (MDS-UPDRS score ≥2) as this criterion is commonly accepted for inclusion in surgical studies. Tremor was analyzed by side mainly in the off-medication state. __Results__ At baseline, 348 (87.7%) of the 397 patients with Parkinson’s disease had tremor at least on one side of the body. 183 (46%) had only mild tremors but 165 (41.6%) had TAS. 159 patients (40.1%) had lateralized TAS and 6 (1.6%) had bilateral TAS. Among patients with unilateral TAS, 40 patients (25.8%) developed contralateral TAS at 3 years, 49 patients (30.8%) at 5 years, and 61 patients (39%) at 7 years. The side more affected by tremor was also more affected by other cardinal symptoms. In 159 patients with initially unilateral TAS, tremor severity did not increase on the tremor-dominant side over the 7-year period. However, there was an increase in tremor on the contralateral side. This was associated with a clear increase in bradykinesia and rigidity on both sides. __Conclusion__ The study findings may prove beneficial in counselling patients with TAS, and may also provide an explanation as to why the worsening of tremor is not correlated with overall disease progression.

  • Safety and Feasibility of Serial Lumbar Punctures: Long-term Results from the Parkinson’s Progression Markers Initiative

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    Background Cerebrospinal fluid (CSF) serves an essential role in biomarker research. New Parkinson’s disease (PD) classifications incorporate CSF α-synuclein status into trial design. This study evaluated the safety and feasibility of serial CSF collection in participants enrolled in the Parkinson’s Progression Markers Initiative (PPMI). Methods PPMI participants were evaluated over 13-years with lumbar punctures (LPs) occurring annually from baseline through year five and biennially thereafter. Adverse events and compliance, defined as percentage of LPs with CSF collection, were assessed at baseline and upon follow up. Logistic regression and generalized linear mixed effects models were used to calculate odds ratios and 95% confidence intervals for predictors of baseline and longitudinal LP success. Results 3479 participants (PD: n = 1412, prodromal: n = 1768, healthy control: n = 299) were analyzed. 3360 attempted at least one LP with 29.5 % experiencing an adverse event (1.3 % severe). Baseline compliance was 90 %. From baseline to year five, percent change in compliance decreased by 39.4 % in the PD cohort, 41.4 % in the prodromal cohort, and 27.8 % in the healthy control cohort. Predictive variables of baseline LP success included fewer years since diagnosis (PD: OR 0.82, 0.76–0.89), lower BMI (prodromal: OR 0.92, 0.89–0.94), and site location U.S. vs. non-U.S. (PD: OR 1.5, 1.03–2.18, healthy control: OR 3.6, 1.22–10.64). Baseline LP success was the best predictor of longitudinal success (OR 7.82, 5.74–10.65). Conclusions Lumbar punctures were safe in PD research participants over a 13-year period. Compliance was high over the first three years, but further investigation is warranted to improve long term success.

  • Fall Frequency, Risk Factors, and Outcomes in Parkinson’s Disease: A Cross-Sectional Analysis

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    __Background__ Falls are a major source of morbidity in Parkinson’s disease (PD), yet their evolution over time remains unclear. __Objectives__ To compare fall risk and outcomes among PD, prodromal alpha-synucleinopathy, (PAS) and healthy controls (HC); estimate fall frequency across PD progression; and characterize clinical features of PD faller subgroups. __Methods__ We analyzed fall-related outcomes in the Parkinson’s Progression Markers Initiative. Yearly rates of rare and frequent falls were estimated by time since diagnosis. Unique PD participants were grouped as never, rare, or frequent fallers. Clinical variables included motor, cognitive, behavioral, sleep, and autonomic measures. Outcomes included injuries and healthcare utilization. Regression models adjusted for age, sex, and disease duration, with Benjamini-Hochberg correction. __Results__ Across 6,977 visits from 3,100 participants (937 PD, 1,926 PAS, 237 HC), PD participants had higher odds of falling than PAS (OR=1.66, 95% CI ) and HC (OR=4.03, 95% CI ). PD participants were also more likely to report fall-related injuries and healthcare use than PAS (OR=1.70, 1.71) and HC (OR=3.26, 3.81). Falls occurred in 15.5% of visits at diagnosis and 69.2% after 14 years, increasing across Neuronal Synuclein Disease-Integrated Staging System (NSD-ISS) stages. Frequent fallers had longer disease duration, higher NSD-ISS, and worse clinical profiles. Women were more likely to fall than men (46.1% vs 34.9%, p=0.002) despite milder symptoms. __Conclusion__ Falls and related morbidity increase with disease duration and NSD-ISS. Risk reflects sex and motor and non-motor factors, supporting a multifactorial model. Fall frequency may represent a practical marker of progression and guide prevention strategies in PD.

  • Optimizing Parkinson’s Disease progression scales using computational methods

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    Parkinson’s disease is a highly heterogeneous condition with symptoms spanning motor and non-motor domains. Clinical scales like the Movement Disorder Society’s Unified Parkinson’s Disease Rating Scale (MDS-UPDRS), are standard in clinical trials where disease progression is monitored. They rely on summing item values, assuming uniform item importance and score increments. Here we propose a novel data-driven approach to optimize weights for such scales — so that total scores better reflect the underlying disease severity. By leveraging large-scale longitudinal data from the Parkinson’s Progression Markers Initiative (PPMI), our methods identified which items (and value increments) most strongly indicate PD progression, down-weighting or excluding less informative items. The learned weights substantially improve the monotonic relationship between total scores and clinical progression. We validated our weights using both held-out PPMI data and an independent dataset (BeaT-PD), demonstrating their robustness. Applying such weights in clinical trials may increase power and reduce the required sample size.

  • Utilizing Intraindividual Cognitive Variability to Predict Early Neuronal Synuclein Disease Progression

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    __Background__ Neuronal synuclein disease (NSD) involves pathological α-synuclein presence and often dopaminergic dysfunction, initially preceding overt clinical symptoms. NSD-ISS identifies Stage 2A (no dopaminergic dysfunction) and 2B (dopaminergic dysfunction) as prodromal phases marked by subtle clinical signs without functional impairment. Intraindividual variability/dispersion (IIV-D), reflecting within-person inconsistency across cognitive tasks, has emerged as a potential marker of early neurodegenerative changes. __Objectives__ This study examined whether IIV-D differentiates NSD Stage 2 participants from healthy controls and predicts progression to more advanced NSD stages. __Methods__ Data from the Parkinson’s Progression Markers Initiative were used to assess performance across 11 neuropsychological tests in 934 participants (832 Stage 2; 102 controls). IIV-D was quantified using the total coefficient of variation (CoV) and a domain-specific attention/executive CoV. Group comparisons and logistic regression assessed associations between IIV-D, clinical characteristics, and disease progression. __Results__ Stage 2 participants exhibited significantly greater CoV than controls (p = .003). Higher IIV-D was associated with worse motor symptoms, non-motor burden, and functional impairment. Among Stage 2 participants, subsequent converters to Stage 3+ (n = 100) had significantly higher total CoV (p = .008) and attention/executive CoV (p = .020) at baseline. CoV independently predicted conversion after one year (OR = 1.44, p = .008), controlling for baseline motor severity. __Conclusions__ IIV-D, particularly CoV, may be a sensitive cognitive marker of early NSD and predict short-term disease progression. Findings support integrating cognitive dispersion metrics into early detection strategies for prodromal synucleinopathies, though replication is needed to confirm generalizability and clinical utility.

  • Understanding the pattern of cognitive decline in GBA1-related Parkinson’s Disease: a longitudinal multi-cohort study

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    __Objective__ People with Parkinson’s disease (PD) who carry a pathogenic GBA1 variant (PDGBA1) are at higher risk of cognitive impairment than those without the variant (PDGBA1_wildtype). To date, little is known about the pattern and evolution of cognitive decline in PDGBA1. This multi-center study characterized the cognitive profile of PDGBA, focusing on the longitudinal trajectories and the group-specific onset times among cognitive functions, as well as their clinical relevance. __Methods__ In this longitudinal multicohort-study (PPMI, ABC-PD, Luxembourg Parkinson’s Study), comprehensive neuropsychological assessments were standardized across 548 healthy controls (follow-up-years=2.84±4.33), 906 PDGBA1_wildtype (follow-up-years=4.29±4.16), and 210 PDGBA1 (follow-up-years=4.09±3.35). We evaluated performance across age and disease duration using regression (generalized) linear mixed models within each cognitive domain. Time-to-first-event models, assessing risks of clinically relevant performance impairment (test-score z≤-1.5, MoCA<26), and an expanding-time-window approach identified the course of cognitive impairment. Additionally, correlations between cognitive functions were calculated. __Results__ At baseline, PDGBA1 showed lower performance in attention (processing speed) and memory (verbal learning) than PDGBA1_wildtype, but more widespread probability of performance impairment. Over time, attention, visuoperception, memory, and semantic fluency performance declined more rapidly in PDGBA1 compared to PDGBA1_wildtype. Impairment in processing speed occurred earlier in the disease process of PDGBA1. Risks for clinically relevant cognitive impairment in PDGBA1 during the disease course were generally increased. Moderate-to-strong correlations between cognitive functions were observed within and across cognitive domains in PDGBA1 and PDGBA1_wildtype, particularly in attentional-executive functions. __Interpretation__ PDGBA1 exhibits accelerated domain-generalized cognitive decline compared to PDGBA1_wildtype, with susceptibility of semantic fluency, attention, and memory.

  • 2025: A Year in Review

    We are proud to share how we impacted the Parkinson’s disease research field in 2025. Read our report to see how the infrastructure and processes we established are changing the way science is done and are generating significant momentum.

  • ASAP Research Round-Up | Q3 2025

    In this second edition of the ASAP Research Round-Up, ASAP shares advancements in Q2 2025 across the ASAP portfolio that fill critical knowledge gaps, promote rapid dissemination of scientific insights, expand resource accessibility, and support the next generation of Parkinson’s researchers.

  • Parkinson’s Progression Markers Initiative: A Milestone-Based Strategy to Monitor PD Progression

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    Challenge: Identifying a meaningful progression metric for Parkinson's disease (PD) that reflects heterogeneity remains a challenge. Objective: To assess the frequency and baseline predictors of progression to clinically relevant motor and non-motor PD milestones. Methods: Using data from the Parkinson's Progression Markers Initiative (PPMI) de novo PD cohort, we monitored 25 milestones across six domains ("walking and balance"; "motor complications"; "cognition"; "autonomic dysfunction"; "functional dependence"; "activities of daily living"). Milestones were intended to be severe enough to reflect meaningful disability. We assessed the proportion of participants reaching any milestone; evaluated which occurred most frequently; and conducted a time-to-first-event analysis exploring whether baseline characteristics were associated with progression. Results: Half of participants reached at least one milestone within five years. Milestones within the cognitive, functional dependence, and autonomic dysfunction domains were reached most often. Among participants who reached a milestone at an annual follow-up visit and remained active in the study, 82% continued to meet criteria for any milestone at one or more subsequent annual visits and 55% did so at the next annual visit. In multivariable analysis, baseline features predicting faster time to reaching a milestone included age (p<0.0001), greater MDS-UPDRS total scores (p<0.0001), higher GDS-15 depression scores (p=0.0341), lower dopamine transporter binding (p=0.0043), and lower CSF total α-synuclein levels (p=0.0033). Symptomatic treatment was not significantly associated with reaching a milestone (p=0.1639). Conclusions: Clinically relevant milestones occur frequently, even in early PD. Milestones were significantly associated with baseline clinical and biological markers, but not with symptomatic treatment. Further studies are necessary to validate these results, further assess the stability of milestones, and explore translating them into an outcome measure suitable for observational and therapeutic studies.

  • Impact of the dopamine system on long-term cognitive impairment in Parkinson disease: an exploratory study

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    Background Little is known about the impact of the dopamine system on development of cognitive impairment (CI) in Parkinson disease (PD). Using data from a multi-site, international, prospective cohort study, authors explored the impact of dopamine system-related biomarkers on CI in PD. The study provides preliminary evidence that alterations in the dopamine system predict the development of clinically-relevant, cognitive impairment in Parkinson's disease. If replicated and determined to be causative, they demonstrate that the dopamine system is instrumental to cognitive health status throughout the disease course.

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