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Objective: The purpose of this study was to evaluate the responsiveness of the EQ-5D and the Parkinson's Disease Questionnaire (PDQ-8) to deterioration in health-related quality of life (HRQoL) in patients with Parkinson's disease (PD).Methods: HRQoL and clinical data collected from 31 patients with PD (male: 74.2%, mean age: 61 years) who were surveyed with the EQ-5D and the PDQ-8 questionnaires in 2002 and 2006/2007 were analyzed. Responsiveness of the EQ-5D, PDQ-8, and Hoehn and Yahr (H&Y) staging were assessed according to Cohen's effect size (ES) and standardized response mean (SRM).Results: The mean (standard deviation) EQ-5D index and PDQ-8 summary index (PDQ-8SI) scores were 0.76 (0.23) and 17.7 (14.2) at baseline and 0.52 (0.33) and 35.1 (17.4) at year four. Based on both ES and SRM indices, the rank order of responsiveness of the studied measures, from high to low, was PDQ-8SI (ES = 1.22), EQ-5D index score (ES = 1.06), H&Y score (ES = 0.82), and the EQ-VAS score (ES = 0.24).Conclusion: Both the EQ-5D and PDQ-8 are responsive to changes in health burden of the Parkinson's disease over a 4-year period. [ABSTRACT FROM AUTHOR]

The aim of our study was to assess the longitudinal validity of the 8-item Parkinson's Disease Questionnaire (PDQ-8) in terms of responsiveness and test-retest reliability and to determine the minimally important difference (MID) for PDQ-8 using the anchor-based approach in Asians with Parkinson's disease (PD). A consecutive sample of PD patients attending a tertiary neuroscience clinic in Singapore completed the English or Chinese version of PDQ-8 twice during two different clinic visits. During the second visit, patients were also asked to rate their changes in health in general, PD severity, and overall impact of PD since at the time of their first visit 1 year ago using a 5-point response scale. A total of 96 patients participated in the study. For patients who reported changed conditions in the second visit, responsiveness measured by Cohen's effect size, standardized response mean, and Guyatt's responsiveness index ranged from 0.21 to 0.68. The intraclass correlation coefficient values calculated using patients reporting no change in health or PD status ranged from 0.64 to 0.76. The mean changed PDQ-8 summary index score in patients who reported that their health or PD status worsened only 'a little bit' ranged from 5.8 to 7.4 points. Our current results show that PDQ-8 is a longitudinally reliable and responsive measure for assessing the health-related quality of life in patients with PD. The MID of the PDQ-8 estimated in the study will further support the use of this instrument in both clinical research and practice. (c) 2008 Movement Disorder Society. [ABSTRACT FROM AUTHOR]

Objective: To develop a function for mapping the eight-item Parkinson's Disease Questionnaire (PDQ-8) to the EuroQol Group's EQ-5D utility index.Methods: Data from two surveys of 324 patients with Parkinson's disease was divided into two groups. One was used to estimate the mapping functions by regression methods and the other was used to validate the mapping functions.Results: A regression model with a non-linear trend explained 55% of the variation in EQ-5D utility values and had a mean absolute deviation (MAD) of 0.083. A regression model assuming a linear trend explained 52% of the variation and had an MAD of 0.085. In the validation sample, predicted values based on the aforementioned models respectively explained 42 and 44% of the variation in the observed EQ-5D utility values and both had MADs of about 0.1. The confidence intervals of the mean difference between these predicted values and the observed values totally fell within the pre-defined equivalence margin of 0.03 points. These predicted values were also similar to the observed EQ-5D utility values in terms of their association with clinical variables.Conclusion: At the group level, but not at the individual level, the mapping functions can accurately map the PDQ-8 outcomes to the EQ-5D utility index. [ABSTRACT FROM AUTHOR]

Alpha-synuclein gene promoter (SNCA Rep1) polymorphism has been linked to Parkinson's Disease (PD) susceptibility and motor symptom severity, but less is known about its longitudinal relationship with non-motor symptom severity. To address this gap, this is the first longitudinal study over 4 years investigating the relationship between Rep1 allele length and non-motor function amongst 208 early PD patients grouped into long ( n = 111) vs. short ( n = 97) Rep1 allele carriers. Long Rep1 carriers demonstrated faster decline in global cognition ( p = 0.023) and increasing apathy ( p = 0.027), with greater decline in attention and memory domains ( p = 0.001), highlighting the utility of Rep1 polymorphism in stratifying patients at risk of non-motor symptom decline.

Parkinson's disease (PD) is an incurable, progressive and common movement disorder that is increasing in incidence globally because of population aging. We hypothesized that the landscape of rare, protein-altering variants could provide further insights into disease pathogenesis. Here we performed whole-exome sequencing followed by gene-based tests on 4,298 PD cases and 5,512 controls of Asian ancestry. We showed that GBA1 and SMPD1 were significantly associated with PD risk, with replication in a further 5,585 PD cases and 5,642 controls. We further refined variant classification using in vitro assays and showed that SMPD1 variants with reduced enzymatic activity display the strongest association (<44% activity, odds ratio (OR) = 2.24, P = 1.25 × 10 -15 ) with PD risk. Moreover, 80.5% of SMPD1 carriers harbored the Asian-specific p.Pro332Arg variant (OR = 2.16; P = 4.47 × 10 -8 ). Our findings highlight the utility of performing exome sequencing in diverse ancestry groups to identify rare protein-altering variants in genes previously unassociated with disease., Competing Interests: Competing interests: Z.G.-O. received consultancy fees from Lysosomal Therapeutics, Idorsia, Prevail Therapeutics, Ono Therapeutics, Denali, Handl Therapeutics, Neuron23, Bial Biotech, Bial, UCB, Capsida, Vanqua Bio, Congruence Therapeutics, Takeda, Jazz Pharmaceuticals, Guidepoint, Lighthouse and Deerfield. R.N.A. received consultation fees from Biogen, Biohaven, Capsida, Gain Therapeutics, Genzyme/Sanofi, Janssen, Servier, SK Biopharmaceuticals, Takeda and Vanqua Bio. Y.X. holds a stock option in NeoCytogen Therapeutics where she is scientific co-founder and Chief Scientific Officer. M.A.N.’s participation in this project was part of a competitive contract awarded to DataTecnica, LLC by the National Institutes of Health to support open science research. M.A.N. also owns stock in Character Bio, Inc. and Neuron23, Inc. The other authors declare no competing interests., (© 2024. The Author(s).)

Genome-wide association studies have identified SV2C as a Parkinson's disease (PD) risk locus, with a common missense variant p.Asp543Asn in the synaptic vesicle glycoprotein 2C (SV2C) protein significantly associated with PD. We examined if other rare SV2C variants also influence PD risk. We analyzed sequencing data of 9810 East Asian individuals comprising 4298 patients and 5512 controls and identified 55 rare nonsynonymous variants. There was no significant association of rare nonsynonymous or loss-of-function variants with PD. Our findings show that besides p.Asp543Asn, other rare coding variants in SV2C do not play a major role in PD susceptibility in East Asia., Competing Interests: Declaration of conflicting interestsThe authors declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: Eng-King Tan is an Editorial Board member of this journal but was not involved in the peer-review process of this article nor had access to any information regarding its peer review.The remaining authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Background: COVID-19-related social restrictions provided an opportunity to evaluate the impact of social isolation on Parkinson's disease., Objective: This study aimed to explore changes in social isolation and their associations with PD symptoms using the Lubben Social Network Scale-Revised (LSNS-R)., Methods: Data from 80 participants of the Early Parkinson's Disease Longitudinal Singapore cohort were collected from April 2019 to April 2023, covering the periods before and after the imposition of COVID-19 restrictions. Individuals with LSNS-R scores ≤ 24 were considered socially isolated. Data were stratified into strata 1 (improved LSNS-R scores) and strata 2 (worsened/unchanged scores). Linear regression was used to identify predictors of LSNS-R change, and MANCOVA was used to examine associations between LSNS-R change and motor/ non-motor symptoms., Results: Mean LSNS-R scores decreased (p = 0.014), and proportions of social isolation increased (p < 0. 001) during COVID-19 restrictions. However, 35 % showed improved LSNS-R scores, while 65 % had worsened/unchanged scores. The regression model was significant in strata 1 (R2 = 0.806, p = 0.001), with age, marital status, and social isolation status being significantly associated with change in LSNS-R scores. LSNS-R. Results of MANCOVA indicated that LSNS-R improvements in LSNS-R were significantly associated with outcomes (Roy's Largest Root statistic = 126.638, p < 0.001), particularly for changes in PDQ8, HADS-Anxiety, and HADS-Depression scores. The regression model was not significant in strata 2 (R2 = 0. 279, p = 0.206), wherein motor and non-motor symptoms worsened., Conclusion: While worsening LSNS-R scores were associated with poorer outcomes, improvements in social networks were associated with improved non-motor symptoms and quality of life. These findings underscore the complexity of social isolation in PD and the need for targeted interventions., Competing Interests: The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: EK Tan is an Editorial Board Member of this journal but was not involved in the peer-review process of this article nor had access to any information regarding its peer-review., (© 2024 The Authors. Published by Elsevier Ltd.)

Background : Parkinson's disease (PD) is the second most common neurodegenerative disease, primarily affecting the middle-aged to elderly population. Among its nonmotor symptoms, cognitive decline (CD) is a precursor to dementia and represents a critical target for early risk assessment and diagnosis. Accurate CD prediction is crucial for timely intervention and tailored management of at-risk patients. This study used machine learning (ML) techniques to predict the CD risk over five-year in early-stage PD. Methods : Data from the Early Parkinson's Disease Longitudinal Singapore (2014 to 2018) was used to predict CD defined as a one-unit annual decrease or a one-unit decline in Montreal Cognitive Assessment over two consecutive years. Four ML methods-AutoScore, Random Forest, K-Nearest Neighbors and Neural Network-were applied using baseline demographics, clinical assessments and blood biomarkers. Results : Variable selection identified key predictors of CD, including education year, diastolic lying blood pressure, diastolic standing blood pressure, systolic lying blood pressure, Hoehn and Yahr scale, body mass index, phosphorylated tau at threonine 181, total tau, Neurofilament light chain and suppression of tumorigenicity 2. Random Forest was the most effective, achieving an AUC of 0.93 (95% CI: 0.89, 0.97), using 10-fold cross-validation. Conclusions : Here, we demonstrate that ML-based models can identify early-stage PD patients at high risk for CD, supporting targeted interventions and improved PD management.

Introduction: Subthalamic nucleus deep brain stimulation (STN-DBS) is a proven treatment modality for Parkinson's disease (PD), reducing dyskinesia and time spent in the "OFF" state. This study evaluates the long-term outcomes of STN-DBS in PD patients up to 10 years post-surgery in Singapore., Method: We conducted a retrospective review of Movement Disorders Society-Unified Parkinson's Disease Rating Scale (MDS-UPDRS) scores, activities of daily living (ADLs), disease milestones, dopaminergic drug prescriptions, and adverse events in patients before and after STN-DBS surgery., Results: A total of 94 PD patients who underwent bilateral STN-DBS were included. STN-DBS reduced time in the "OFF" state by 36.9% at 1 year ( P =0.034) and 40.9% at 5 years ( P =0.006). Time with dyskinesia did not significantly change. Levodopa equivalent daily dose was reduced by 35.1% by 5 years ( P <0.001). MDS-UPDRS-II and III scores increased from 5 years post-DBS by 40.5% and 35.4%, respectively. Independence in ADLs decreased, though not significantly. The prevalence of frequent falls increased at 5 years. Surgery- and device-related adverse events were uncommon and generally mild., Conclusion: STN-DBS provides sustained relief from motor complications and reduced medication requirements in PD patients in Singapore. This study highlights STN-DBS as an effective treatment option, significantly enhancing the quality of life for those with PD.

Aim: To investigate motor, non-motor and cognitive progression in early Parkinson's disease (PD) patients with Mild Cognitive Impairment (MCI)., Methods: PD patients were recruited within 1 year of diagnosis and were classified into PD-MCI group and PD with normal cognition (PD-NC) group. H&Y staging scale, MDS-UPDRS part III were used to assess disease severity and motor progression. Non-motor symptom scale (NMSS) was used to evaluate the NMS progression. Cognitive progression was assessed from 5 cognitive domains. Annual progression changes in the longitudinal outcomes were examined via linear mixed model with random intercept effect. False discovery rate (FDR) method was performed to control for multiple testing comparison and q-value was calculated. We set the threshold of q-values as 0.1., Result: A total of 205 PD patients, including 107 PD-MCI and 98 PD-NC patients were assessed prospectively over a 5-year period. PD-MCI patients, compared to PD-NC group, had a significantly higher progression rate in H&Y score (0.11 vs. 0.06, p=0.03, q=0.08), MDS-UPDRS motor score (3.11 vs. 1.90 p<0.001, q=0.06) and postural instability gait difficulty (PIGD) score (0.40 vs. 0.20, p=0.02, q=0.07). PD-MCI group also exhibited significantly faster deterioration in NMSS perceptual domain (PD-MCI vs. PD-NC: 0.38 vs. -0.04, p=0.01, q=0.06) and cognitive visuospatial domain (PD-MCI vs. PD-NC: 0.13 vs. -0.06, p=0.048, q=0.09) after adjustment for confounders and multiple comparisons., Conclusions: PD-MCI patients had faster decline in motor functions, visuo-perceptual and visuospatial performance. These findings provide a more comprehensive prognosis of PD-MCI, which could be helpful for clinician to manage PD-MCI patients.

Introduction: The decision to offer deep brain stimulation (DBS) to elderly patients with Parkinson's disease (PD) presents challenges due to higher perceived risks and uncertain long-term benefits. Here, we aimed to compare the outcomes after DBS for elderly versus non-elderly patients with PD., Methods: We analyzed data from our institutional cohort and retrieved publicly available data through a systematic review. The exposure was age at DBS electrode insertion, which was defined as elderly (≥70 years old) and non-elderly (<70 years old). The outcomes examined were changes in the Movement Disorders Society-Parkinson's Disease Rating Scale (MDS-UPDRS) or UPDRS part III total score, levodopa-equivalent daily dose (LEDD), and adverse events., Results: The included studies and our cohort comprised a total of 527 patients, with 111 (21.1 %) classified as elderly. There was no statistically significant difference in the change in MDS-UPDRS or UPDRS part III total score and generally no statistically significant difference in the change in LEDD between the elderly and non-elderly patients. Elderly patients had a higher incidence of wound infection (elderly 5.4 % vs non-elderly 1.9 %; p = 0.087) and inadequate wound healing (elderly 3.6 % vs non-elderly 1.4 %; p = 0.230), but this difference was not statistically significant. There was no significant difference in the incidence of mortality (elderly 0 % vs non-elderly 0 %; p = 1.000), stroke (elderly 0 % vs non-elderly 0.2 %; p = 1.000), and cognitive decline between the age groups., Conclusions: Notwithstanding the trend towards a higher risk of wound infection and inadequate wound healing, elderly patients have similar motor outcomes and levels of PD medication reduction as non-elderly patients after DBS for PD. Hence, age should not be used as the sole criterion for determining eligibility for DBS, and the decision to offer DBS to elderly patients should be personalized and made in a multidisciplinary setting, taking into consideration patient- and disease-related factors., (Copyright © 2024 Elsevier B.V. All rights reserved.)

Background: The detailed trajectory of data-driven subtypes in Parkinson's disease (PD) within Asian cohorts remains undisclosed., Objective: To evaluate the motor, non-motor symptom (NMS) progression among the data-driven PD clusters., Methods: In this 5-year longitudinal study, NMS scale (NMSS), Hospital Anxiety Depression Scale (HADS), and Epworth sleepiness scale (ESS) were carried out annually to monitor NMS progression. H& Y staging scale, MDS-UPDRS part III motor score, and postural instability gait difficulty (PIGD) score were assessed annually to evaluate disease severity and motor progression. Five cognitive standardized scores were used to assess detailed cognitive progression. Linear mixed model was performed to assess the annual progression rates of the longitudinal outcomes., Results: Two hundred and six early PD patients, consisting of 43 patients in cluster A, 98 patients in cluster B and 65 subjects in cluster C. Cluster A (severe subtype) had significantly faster progression slope in NMSS Domain 3 (mood/apathy) score (p = 0.01), NMSS Domain 4 (perceptual problems) score (p = 0.02), NMSS Domain 7 (urinary) score (p = 0.03), and ESS Total Score (p = 0.04) than the other two clusters. Cluster A also progressed significantly in PIGD score (p = 0.04). For cognitive outcomes, cluster A deteriorated significantly in visuospatial domain (p = 0.002), while cluster C (mild subtype) deteriorated significantly in executive domain (p = 0.04)., Conclusions: The severe cluster had significantly faster progression, particularly in mood and perceptual NMS domains, visuospatial cognitive performances, and postural instability gait scores. Our findings will be helpful for clinicians to stratify and pre-emptively manage PD patients by developing intervention strategies to counter the progression of these domains.

Background: Caffeine intake reduces risk of Parkinson's disease (PD), but the interaction with genes is unclear. The interaction of caffeine with genetic variants in those at high PD risk has healthcare importance. We investigate interactions of caffeine intake with risk variants found in Asians, and determine PD risk estimates in caffeine-drinkers carrying these variants., Methods: PD patients and controls without neurological disorders were included. Caffeine intake was assessed using a validated evaluation tool. Leucine rich repeat kinase 2 (LRRK2) risk variants were genotyped. Statistical analysis was conducted with logistic regression models. Gene-caffeine interactions were quantified using attributable proportion (AP) due to interaction (positive interaction defined as AP >0)., Findings: 5100 subjects were screened and 4488 subjects (1790 PD, 2698 controls) with genetic data of at least one LRRK2 variant were included. Risk-variant-carriers who were non-caffeine-drinkers had increased PD odds compared to wildtype carriers who were caffeine-drinkers for G2385R [OR 8.6 (2.6-28.1) p < 0.001; AP = 0.71], R1628P [OR 4.6 (1.6-12.8) p = 0.004; AP = 0.50] and S1647T [OR 4.0 (2.0-8.1) p < 0.001; AP = 0.55] variants., Interpretation: Caffeine intake interacts with LRRK2 risk variants across three different groups of gene carriers. Asymptomatic risk-variant-carriers who are non-caffeine-drinkers have four to eight times greater PD risk compared to wildtype-caffeine-drinkers. Lifestyle modifications to mitigate PD risk in asymptomatic healthy risk variant carriers have potential roles in our Asian cohort., Funding: This study was supported by the National Medical Research Council (STaR and PD OF LCG 000207 grants) and Duke-NUS Medical School., Competing Interests: There is no potential conflict of interest related to this study to declare., (© 2023 Published by Elsevier Ltd.)

Background and Purpose: A genome-wide association study-linked variant (PARK16 rs6679073) modulates the risk of Parkinson's disease (PD). We postulate that there may be differences in clinical characteristics between PARK16 rs6679073 carriers and noncarriers. In a prospective study, we investigate the clinical characteristics between PARK16 rs6679073 A allele carriers and noncarriers over 4 years., Methods: A total of 204 PD patients, comprising 158 PARK16 rs6679073 A allele carriers and 46 noncarriers, were recruited. All patients underwent motor and nonmotor symptom and cognitive assessments yearly over 4 years., Results: PARK16 rs6679073 carriers were less likely to have mild cognitive impairment (MCI) compared to noncarriers at both baseline (48.1% vs. 67.4%, p = 0.027) and 4-year follow-up (29.3% vs. 58.6%, p = 0.007)., Conclusions: PD PARK16 rs6679073 carriers had significantly lower frequency of MCI in a 4-year follow-up study, suggesting that the variant may have a neuroprotective effect on cognitive functions., (© 2023 European Academy of Neurology.)

Background and Purpose: A broad list of variables associated with mild cognitive impairment (MCI) in Parkinson disease (PD) have been investigated separately. However, there is as yet no study including all of them to assess variable importance. Shapley variable importance cloud (ShapleyVIC) can robustly assess variable importance while accounting for correlation between variables. Objectives of this study were (i) to prioritize the important variables associated with PD-MCI and (ii) to explore new blood biomarkers related to PD-MCI., Methods: ShapleyVIC-assisted variable selection was used to identify a subset of variables from 41 variables potentially associated with PD-MCI in a cross-sectional study. Backward selection was used to further identify the variables associated with PD-MCI. Relative risk was used to quantify the association of final associated variables and PD-MCI in the final multivariable log-binomial regression model., Results: Among 41 variables analysed, 22 variables were identified as significantly important variables associated with PD-MCI and eight variables were subsequently selected in the final model, indicating fewer years of education, shorter history of hypertension, higher Movement Disorder Society-Unified Parkinson's Disease Rating Scale motor score, higher levels of triglyceride (TG) and apolipoprotein A1 (ApoA1), and SNCA rs6826785 noncarrier status were associated with increased risk of PD-MCI (p < 0.05)., Conclusions: Our study highlighted the strong association between TG, ApoA1, SNCA rs6826785, and PD-MCI by machine learning approach. Screening and management of high TG and ApoA1 levels might help prevent cognitive impairment in early PD patients. SNCA rs6826785 could be a novel therapeutic target for PD-MCI. ShapleyVIC-assisted variable selection is a novel and robust alternative to traditional approaches for future clinical study to prioritize the variables of interest., (© 2023 European Academy of Neurology.)

Background: Sleep disorders are common in Parkinson's disease (PD). However, the longitudinal relationship between sleep quality and the other non-motor symptoms of PD has not been well characterized, especially in early PD., Objective: To explore the value of baseline sleep quality in predicting the progression of other non-motor symptoms in early PD., Methods: 109 early PD patients were recruited to the study. Patients were stratified into good and poor sleepers using the Pittsburgh Sleep Quality Index (PSQI). Assessments performed at baseline and 1 year follow-up included the Epworth Sleepiness Scale, Fatigue Severity Scale, Non-Motor Symptom Scale, Geriatric Depression Scale, Hospital Anxiety and Depression Scale, Apathy Scale, Montreal Cognitive Assessment and detailed neuropsychological assessments. Multivariable linear regression was performed at baseline to investigate differences in clinical scores between poor and good sleepers, while multivariable regression models were used to investigate associations between sleep quality and progression of test scores at 1 year follow-up., Results: 59 poor sleepers and 50 good sleepers were identified. At baseline, poor sleepers had greater HADS anxiety scores ( p = 0.013) [2.99 (95% CI 2.26, 3.73)] than good sleepers [1.59 (95% CI 0.75, 2.42)]. After 1 year, poor sleepers had greater fatigue (FSS scores +3.60 as compared to -2.93 in good sleepers, p = 0.007) and depression (GDS scores +0.42 as compared to -0.70, p = 0.006)., Conclusion: This study shows a longitudinal association between sleep quality, fatigue, and depression in early PD patients, independent of medication effect and disease severity, this may support the hypothesis that a common serotonergic pathway is implicated in these non-motor symptoms., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Koh, Chua, Ng, Chia, Saffari, Chen, Choi, Heng, Neo, Tay, Au, Tan, Tan and Xu.)

The biological underpinnings of the PD clusters remain unknown as the existing PD clusters lacks biomarker characterization. We try to identify clinical subtypes of Parkinson Disease (PD) in an Asian cohort and characterize them by comparing clinical assessments, genetic status and blood biochemical markers. A total of 206 PD patients were included from a multi-centre Asian cohort. Hierarchical clustering was performed to generate PD subtypes. Clinical and biological characterization of the subtypes were performed by comparing clinical assessments, allelic distributions of Asian related PD gene (SNCA, LRRK2, Park16, ITPKB, SV2C) and blood biochemical markers. Hierarchical clustering method identified three clusters: cluster A (severe subtype in motor, non-motor and cognitive domains), cluster B (intermediate subtype with cognitive impairment and mild non-motor symptoms) and cluster C (mild subtype and young age of onset). The three clusters had significantly different allele frequencies in two SNPs (Park16 rs6679073 A allele carriers in cluster A B C: 67%, 74%, 89%, p = 0.015; SV2C rs246814 T allele distribution: 7%, 12%, 25%, p = 0.026). Serum homocysteine (Hcy) and C-reactive protein (CRP) levels were also significantly different among three clusters (Mean levels of Hcy and CRP among cluster A B C were: 19.4 ± 4.2, 18.4 ± 5.7, 15.6 ± 5.6, adjusted p = 0.005; 2.5 ± 5.0, 1.5 ± 2.4, 0.9 ± 2.1, adjusted p < 0.0001, respectively). Of the 3 subtypes identified amongst early PD patients, the severe subtype was associated with significantly lower frequency of Park16 and SV2C alleles and higher levels of Hcy and CRP. These biomarkers may be useful to stratify PD subtypes and identify more severe subtypes., (© 2022. The Author(s).)

Parkinson's disease (PD) is a chronic, non-reversible neurodegenerative disorder, and freezing of gait (FOG) is one of the most disabling symptoms in PD as it is often the leading cause of falls and injuries that drastically reduces patients' quality of life. In order to monitor continuously and objectively PD patients who suffer from FOG and enable the possibility of on-demand cueing assistance, a sensor-based FOG detection solution can help clinicians manage the disease and help patients overcome freezing episodes. Many recent studies have leveraged deep learning models to detect FOG using signals extracted from inertial measurement unit (IMU) devices. Usually, the latent features and patterns of FOG are discovered from either the time or frequency domain. In this study, we investigated the use of the time-frequency domain by applying the Continuous Wavelet Transform to signals from IMUs placed on the lower limbs of 63 PD patients who suffered from FOG. We built convolutional neural networks to detect the FOG occurrences, and employed the Bayesian Optimisation approach to obtain the hyper-parameters. The results showed that the proposed subject-independent model was able to achieve a geometric mean of 90.7% and a F1 score of 91.5%.

Background: Lipid biomarkers have potential neuroprotective effects in Parkinson's disease (PD) and there is limited evidence in the field., Objective: This study aims to investigate the association between comprehensive blood lipid biomarkers and PD., Methods: A total of 205 PD patients and 102 non-PD subjects were included from Early Parkinson's disease Longitudinal Singapore (PALS) cohort. We investigated 6 serum lipid biomarkers including total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), apolipoprotein A1 (Apo A1), low-density lipoprotein cholesterol (LDL-C), and apolipoprotein B (Apo B). PD patients were further classified into mild cognitive impairment (MCI) and normal cognition (NC) subgroups. We conducted a cross-sectionals study to examine the association between lipids and PD and further explored the relationship between lipids and PD-MCI., Results: PD patients had significantly lower level of lipid panel including TC, TG, HDL-C, Apo A1, LDL-C, and Apo B (all p < 0.05). TC, TG, Apo A1, and Apo B levels were independent protective factors (p < 0.05) for PD in the logistic regression model. PD-MCI group had significantly higher mean TC, TG, and Apo A1 levels compared to PD-NC group. Higher TC, TG, and Apo A1 levels were independent risk factors (p < 0.05) for PD-MCI., Conclusion: We demonstrated that PD patients had significantly lower levels of lipid biomarkers while PD-MCI patients had higher levels of TC, TG, and Apo A1. TC, TG, and Apo A1 may be useful biomarkers for PD-MCI.

Background: Neurofilament light is a marker of axonal degeneration, whose measurement from peripheral blood was recently made possible by new assays., Objective: We aimed to determine whether plasma neurofilament light chain (NfL) concentration reflects brain white matter integrity in patients with early Parkinson's disease (PD)., Methods: 137 early PD patients and 51 healthy controls were included. Plasma NfL levels were measured using ultrasensitive single molecule array. 3T MRI including diffusion tensor imaging was acquired for voxelwise analysis of association between NfL and both fractional anisotropy (FA) and mean diffusivity (MD) in white matter tracts and subcortical nuclei., Results: A pattern of brain microstructural changes consistent with neurodegeneration was associated with increased plasma NfL in most of the frontal lobe and right internal capsule, with decreased FA and increased MD. The same clusters were also associated with poorer global cognition. A significant cluster in the left putamen was associated with increased NfL, with a significantly greater effect in PD than controls., Conclusion: Plasma NfL may be associated with brain microstructure, as measured using diffusion tensor imaging, in patients with early PD. Higher plasma NfL was associated with a frontal pattern of neurodegeneration that also correlates with cognitive performance in our cohort. This may support a future role for plasma NfL as an accessible biomarker for neurodegeneration and cognitive dysfunction in PD.

Background: There is currently insufficient long-term data on costs of treatment in patients with Parkinson's disease (PD), which is chronic and progressive, and associated with substantial healthcare costs. Identifying patterns in healthcare utilization and cost may illuminate further discussion on early intervention., Objective: To characterize long-term healthcare utilization and costs of PD in newly diagnosed patients managed by movement disorder specialists., Methods: Using a longitudinal matched-cohort study of linked data from the National Neuroscience Institute Parkinson's disease and Movement Disorder and healthcare administrative databases in Singapore from 2008-2017, we compared healthcare utilization and costs between patients and controls matched on age, sex, race, and Charlson Comorbidity Index score., Results: 1,162 patients met study inclusion criteria and 1,157 matched controls were identified. The total mean annual healthcare cost (at 2017 costs) was significantly increased in patients compared to controls from years 1-9 post-diagnosis. The increased cost was observed 2 years before diagnosis (USD2322 vs. 2052; p < 0.001). Mean annual cost attributable to PD increased from USD1854 at 1-year post-diagnosis to USD2652 at 9 years. Over 9 years, average costs were significantly higher across all domains of healthcare utilization except primary care-cost of intermediate and long-term care was increased by a factor of 2.5, specialist care by 2.3, emergency department visits by 1.6, and hospital admissions by 1.3., Conclusion: PD results in higher healthcare utilization and costs. Pre-diagnosis increase in healthcare utilization observed in patients supports the presence of prodromal PD symptoms and may present an opportunity for early diagnosis.

Background: Various classifications have been proposed to subtype Parkinson's disease (PD) based on their motor phenotypes. However, the stability of these subtypes has not been properly evaluated. Objective: The goal of this study was to understand the distribution of PD motor subtypes, their stability over time, and baseline factors that predicted subtype stability. Methods: Participants ( n = 170) from two prospective cohorts were included: the Early PD Longitudinal Singapore (PALS) study and the National Neuroscience Institute Movement Disorders Database. Early PD patients were classified into tremor-dominant (TD), postural instability and gait difficulty (PIGD), and indeterminate subtypes according to the Movement Disorder Society's Unified PD Rating Scale (MDS-UPDRS) criteria and clinically evaluated for three consecutive years. Results: At baseline, 60.6% patients were TD, 12.4% patients were indeterminate, and 27.1% patients were PIGD subtypes ( p < 0.05). After 3 years, only 62% of patients in TD and 50% of patients in PIGD subtypes remained stable. The mean levodopa equivalent daily dose (LEDD) was higher in the PIGD subtype (276.92 ± 232.91 mg; p = 0.01). Lower LEDD [ p < 0.05, odds ratio (OR) 0.99, 95% confidence interval (CI): 0.98-0.99] and higher TD/PIGD ratios ( p < 0.05, OR 1.77, 95% CI: 1.29-2.43) were independent predictors of stability of TD subtype with an area under the curve (AUC) of 0.787 (95%CI: 0.669-0.876), sensitivity = 57.8%, and specificity = 89.7%. Conclusion: Only 50-62% of PD motor subtypes as defined by MDS-UPDRS remained stable over 3 years. TD/PIGD ratio and baseline LEDD were independent predictors for TD subtype stability over 3 years., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2021 Kohat, Ng, Wong, Chia, Choi, Heng, Li, Ng, Chua, Neo, Xu, Tay, Au, Tan and Tan.)

Objective: In a prospective study, we investigated the association between physical activity and various motor, non-motor outcomes, and quality of life in early Parkinson's disease (PD) participants in the PD Longitudinal Singapore Study. Background: Prospective studies that examined the association between physical activity and motor and non-motor domains in early PD are lacking. Methods: 121 PD participants were followed-up prospectively to evaluate the association of physical activity with various symptom domains. The Physical Activity Scale for the Elderly (PASE) was used to measure physical activity annually. PD-related symptoms were categorized by motor, non-motor, and quality of life measures. Multivariate regression with gain score analysis was performed to understand the association of baseline PASE scores with the change of each variable at 1-year follow-up. Results: Higher baseline PASE scores (greater activity) were associated with a younger age, lower MDS-UPDRS motor scores, a smaller levodopa equivalent daily dose, better attention and memory scores, and better QoL. Activity scores in early PD declined on follow-up. Multivariate analysis revealed higher baseline physical activity to be associated with decreased anxiety and apathy scores at 1-year follow-up, after adjusting for demographic variables and medications. Conclusion: We demonstrated that higher baseline physical activity was associated with improved anxiety and apathy symptoms in early PD over a 1-year period., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2021 Ng, Chia, Abbas, Saffari, Choi, Heng, Xu, Tay, Au, Tan and Tan.)

Introduction: Subjective cognitive complaints (SCC) and affective symptoms are highly prevalent in Parkinson's Disease (PD). In early PD, SCC prevalence and its affective correlates, using recommended Movement Disorders Society (MDS) Level II Criteria to define the underlying cognitive impairment, has not been previously explored., Methods: We recruited 121 participants with early PD from two tertiary hospitals in Singapore. The presence of SCC was defined using a Non-Motor Symptoms Scale Domain-5 Score ≥1. Comprehensive neuropsychological testing was conducted with Mild Cognitive Impairment (PD-MCI) defined using recommended MDS Level II Criteria. Affective symptoms were assessed using the Hospital Anxiety Depression Scale (HADS), Geriatric Depression Scale (GDS) and Apathy Scale (AS). Analysis using multivariable linear regression model was performed., Results: In our early PD cohort, SCC prevalence independent of underlying cognitive status was 38.8%. Prevalence of SCC in cognitively impaired and cognitively normal participants was 10.7% and 28.1% respectively (р = 0.241). In cognitively normal PD participants, multivariable linear regression analysis revealed that SCC was significantly associated with anxiety (β = 0.28, 95% CI = 0.09-0.79, p = 0.014), depression (β = 0.31, 95% CI = 0.10-0.59, p = 0.006) and apathy (β = 0.32, 95% CI = 1.15-5.98, p = 0.004). Such an association was not found in cognitively impaired PD participants., Conclusion: SCC is highly prevalent even in early PD. Its implications in early PD differ depending on underlying cognitive status. SCC in cognitively impaired participants underestimates the true prevalence of PD-MCI. In contrast, SCC in cognitively normal participants is suggestive of an underlying affective disorder., (Copyright © 2020 Elsevier Ltd. All rights reserved.)

Long alpha-synuclein gene (SNCA) promoter (Rep1) allele-carriers are linked to higher risk for Parkinson's disease (PD) and faster motor progression. Non-motor symptoms including autonomic, neuropsychiatric, and sleep disorders are common in PD. However, the relationship between SNCA Rep1 microsatellite lengths and non-motor symptoms in early PD remains to be elucidated. 171 consecutive early PD patients were recruited from tertiary clinics and genotyped for Rep1. Multivariable regression analyses were performed to examine associations between Rep1 alleles and non-motor outcome scores. Longer Rep1 alleles significantly associated with higher total Non-Motor Symptom Scale (NMSS) scores ( p =.006) and Hospital Anxiety and Depression Scale (HADS) depression subscale scores ( p =.002), after adjusting for covariates and Bonferroni correction. We demonstrated that SNCA Rep1 allele length influences overall non-motor symptom burden and depression in early PD patients. Further functional studies to evaluate the role of Rep1 in non-dopaminergic systems may unravel new therapeutic targets for non-motor symptoms in PD.

Freezing of Gait is the most disabling gait disturbance in Parkinson's disease. For the past decade, there has been a growing interest in applying machine learning and deep learning models to wearable sensor data to detect Freezing of Gait episodes. In our study, we recruited sixty-seven Parkinson's disease patients who have been suffering from Freezing of Gait, and conducted two clinical assessments while the patients wore two wireless Inertial Measurement Units on their ankles. We converted the recorded time-series sensor data into continuous wavelet transform scalograms and trained a Convolutional Neural Network to detect the freezing episodes. The proposed model achieved a generalisation accuracy of 89.2% and a geometric mean of 88.8%.

Parkinson's disease (PD) is a chronic neurodegenerative disease with complex motor and non-motor symptoms often leading to significant caregiver burden. An integrated, multidisciplinary care setup involving different healthcare professionals is the mainstay in the holistic management of PD. Many challenges in delivering multidisciplinary team (MDT) care exist, such as insufficient expertise among different healthcare professionals, poor interdisciplinary collaboration, and communication. The need to attend different clinics, incurring additional traveling and waiting time for allied health therapies can also make MDT care more burdensome. By shifting MDT care to local community settings and into patients' homes, patient-centered care can be achieved. In Singapore, the National Neuroscience Institute created the Community Care Partners Programme in 2007 to bring the allied MDT team to the community and nurse-led Integrated Community Care Programme for Parkinson's Disease in 2012 to provide care in community and at patient's home. However, attaining MDT care in the community setting is difficult to achieve where there is a shortage of PD-trained professionals. As such, interdisciplinary and transdisciplinary management would be other best practice options to deliver patient-centric care in PD. Telemedicine could be another viable option to bring the MDT closer to the patient., (Copyright © 2020 Aye, Liew, Neo, Li, Ng, Chua, Zhou, Au, Tan, Tay, Tan and Xu.)

Background: The main motor subtypes of Parkinson's disease (PD) include tremor-dominant (TD) and postural instability gait disorder (PIGD), with varying disease course that warrant the development of biomarkers capable of predicting progression according to motor subtype. The PIGD subtype is associated with a poorer prognosis, hence identification of a biomarker associated with PIGD is clinically relevant. Neurofilament light (NfL) chain is a potential biomarker of disease severity in neurological disorders including PD. However, no study has investigated NfL and PD motor subtypes. Here, we aimed to investigate the diagnostic and prognostic utility of plasma NfL for PD motor subtypes in early Parkinson's disease. Given the higher risk for cognitive and motor decline in PIGD, we hypothesized that plasma NfL is a potential biomarker for PIGD., Methods: Plasma NfL was measured in 199 participants (149 PD and 50 healthy controls, HC) using an ultrasensitive single molecule array. Patients were classified into TD or PIGD based on MDS-UPDRS components. After 2 years, 115 patients were reassessed. Association between NfL and clinical measures in PIGD and TD at baseline and at 2-year follow-up were analysed., Results: At baseline, plasma NfL levels were higher in PD than HC (8.8 ± 3.4 vs 16.2 ± 7.6 pg/ml, p < 0.0001), and differentiated PD from HC with a good diagnostic accuracy (AUC = 0.833, p < 0.001). At 2 years, NfL was higher in PIGD than TD (18.4 ± 14.5 vs 12.6 ± 4.4 pg/ml, p = 0.039). Within the PIGD group, higher NfL associated significantly with worse global cognition and UPDRS motor scores at baseline, and was able to predict motor and cognitive decline at a mean follow-up duration of 1.9 years, controlled for age, sex and disease duration., Conclusions: In this longitudinal study, we demonstrated for the first time the potential utility of plasma NfL as a diagnostic and prognostic biomarker in PIGD even at early stages of PD. These important novel findings will require further confirmation in larger, longitudinal PD cohorts.

Brain donations are imperative for research; understanding possible barriers to entry is required to improve brain donation rates. While a few surveys have studied attitudes towards brain banking in patients with neurodegenerative disorders, none have surveyed patients with chronic neurological disorders but without neurodegeneration. This cross-sectional study was conducted on 187 participants, with both neurodegenerative (n = 122) and non-neurodegenerative disorders (n = 65), to compare their attitudes and preferences towards brain donation. Encouragingly, patients with non-neurodegenerative disorders were just as likely to consider brain donation as those with neurodegenerative diseases. Approximately half of each group were willing to consider brain donation, and majority of participants across both groups would not be offended if asked to participate in brain donation (71%). Across both groups, altruistic reasons such as desire to advance medical knowledge and benefit to other patients were the main motivating factors for brain donation, while perceived stress for family members, fears of body disfigurement and religious reasons were the main reasons against brain donation. Of note, nearly two-thirds of all participants were agreeable to allow their family to decide on their behalf. Overall, participants with non-neurodegenerative disorders appeared equally likely to consider brain donation as participants with neurodegenerative disorders. This is an important finding as they represent a significant population seen in specialist neurology clinics who may be overlooked in brain donor recruitment and awareness efforts. Healthcare professionals involved in brain banking should consider actively approaching these potential donors and involving their family members in these discussions.

Background and Purpose: This study quantified the total brain and periventricular white matter hyperintensity (WMH) burdens in patients with early Parkinson's disease (PD) and explored their associations with cardiovascular risk factors and cognitive performance., Methods: A total of 175 non-demented patients with early PD who had undergone baseline brain magnetic resonance imaging were included. Comprehensive neurocognitive testing was conducted to identify PD with mild cognitive impairment (PD-MCI) and to evaluate performances in individual cognitive domains. Cardiovascular risk was expressed as a modified Framingham 10-year cardiovascular risk score (mFRS)., Results: A total of 53.7% of this early PD cohort fulfilled the diagnostic criteria for PD-MCI. An increase in mFRS was significantly associated with increases in the total brain WMH (P = 0.015) and periventricular WMH (P = 0.040) burden, independent of age and gender. The periventricular WMH burden was significantly associated with PD-MCI (P = 0.046) in early PD, independent of cardiovascular risk factors. Patients in the 5th quintile of periventricular WMH burden were 8.6 times more likely to have PD-MCI compared with patients in the 1st quintile of periventricular WMH burden (P = 0.004). However, total brain WMH burden was not associated with PD-MCI (P = 0.158). In individual cognitive domains, heavier periventricular WMH burden was associated with worse executive function and visuospatial function independent of cardiovascular risk factors., Conclusion: Periventricular WMHs are a useful imaging biomarker for cognitive impairment in early PD. Cardiovascular risk factors, although associated with periventricular WMHs, were unable to fully explain the association between periventricular WMHs and cognitive impairment in early PD., (© 2020 European Academy of Neurology.)

Importance: Large-scale genome-wide association studies in the European population have identified 90 risk variants associated with Parkinson disease (PD); however, there are limited studies in the largest population worldwide (ie, Asian)., Objectives: To identify novel genome-wide significant loci for PD in Asian individuals and to compare genetic risk between Asian and European cohorts., Design Setting, and Participants: Genome-wide association data generated from PD cases and controls in an Asian population (ie, Singapore/Malaysia, Hong Kong, Taiwan, mainland China, and South Korea) were collected from January 1, 2016, to December 31, 2018, as part of an ongoing study. Results were combined with inverse variance meta-analysis, and replication of top loci in European and Japanese samples was performed. Discovery samples of 31 575 individuals passing quality control of 35 994 recruited were used, with a greater than 90% participation rate. A replication cohort of 1 926 361 European-ancestry and 3509 Japanese samples was analyzed. Parkinson disease was diagnosed using UK Parkinson's Disease Society Brain Bank Criteria., Main Outcomes and Measures: Genotypes of common variants, association with disease status, and polygenic risk scores., Results: Of 31 575 samples identified, 6724 PD cases (mean [SD] age, 64.3 [10] years; age at onset, 58.8 [10.6] years; 3472 [53.2%] men) and 24 851 controls (age, 59.4 [11.4] years; 11 030 [45.0%] men) were analyzed in the discovery study. Eleven genome-wide significant loci were identified; 2 of these loci were novel (SV2C and WBSCR17) and 9 were previously found in Europeans. Replication in European-ancestry and Japanese samples showed robust association for SV2C (rs246814; odds ratio, 1.16; 95% CI, 1.11-1.21; P = 1.17 × 10-10 in meta-analysis of discovery and replication samples) but showed potential genetic heterogeneity at WBSCR17 (rs9638616; I2=67.1%; P = 3.40 × 10-3 for hetereogeneity). Polygenic risk score models including variants at these 11 loci were associated with a significant improvement in area under the curve over the model based on 78 European loci alone (63.1% vs 60.2%; P = 6.81 × 10-12)., Conclusions and Relevance: This study identified 2 apparently novel gene loci and found 9 previously identified European loci to be associated with PD in this large, meta-genome-wide association study in a worldwide population of Asian individuals and reports similarities and differences in genetic risk factors between Asian and European individuals in the risk for PD. These findings may lead to improved stratification of Asian patients and controls based on polygenic risk scores. Our findings have potential academic and clinical importance for risk stratification and precision medicine in Asia.

FLNC-related myofibrillar myopathy could manifest as autosomal dominant late-onset slowly progressive proximal muscle weakness; involvements of cardiac and/or respiratory functions are common. We describe 34 patients in nine families of FLNC-related myofibrillar myopathy in Hong Kong ethnic Chinese diagnosed over the last 12 years, in whom the same pathogenic variant c.8129G>A (p.Trp2710*) was detected. Twenty-six patients were symptomatic when diagnosed; four patients died of pneumonia and/or respiratory failure. Abnormal amorphous material or granulofilamentous masses were detected in half of the cases, with mitochondrial abnormalities noted in two-thirds. We also show by haplotype analysis the founder effect associated with this Hong Kong variant, which might have occurred 42 to 71 generations ago or around Tang and Song dynasties, and underlain a higher incidence of myofibrillar myopathy among Hong Kong Chinese. The late-onset nature and slowly progressive course of the highly penetrant condition could have significant impact on the family members, and an early diagnosis could benefit the whole family. Considering another neighboring founder variant in FLNC in German patients, we advocate development of specific therapies such as chaperone-based or antisense oligonucleotide strategies for this particular type of myopathy., (© 2020 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.)

Objective: The aim of this study is to compare Parkinson's disease (PD) treatment practices by movement disorder (MD) specialists across a decade, and to determine the factors that influence drug choice for the motor symptoms of PD in newly diagnosed drug-naïve patients., Methods: This prospective temporal analysis included patients seen at the National Neuroscience Institute in Singapore and diagnosed with PD by MD specialists in the years 2007 and 2017. Primary outcomes were use of specific PD drugs and changes in drug-prescribing patterns. Descriptive analyses and multivariable logistic regression models determined the extent to which patient characteristics were associated with type of PD treatment., Results: Of 230 patients with PD (mean (SD) age, 66.7 (10.3) years), 131 (57.0%) were male. From 2007 to 2017, the use of ergot dopamine agonists and anticholinergics decreased from 19.3% to 2.0% ( P < 0.001) and from 12.0% to 2.7% ( P = 0.004), respectively. The use of monoamine oxidase B inhibitors (MAOBI) increased from 13.3% to 25.2% ( P = 0.033). The use of levodopa (LD)-sparing strategies decreased nonsignificantly from 33.7% to 24.5% ( P = 0.133). Overall, 196 (85.2%) patients were initiated on symptomatic monotherapy, with LD being the most commonly prescribed. MAOBI was the most common drug used in combination therapy. Age ≤70 (adjusted OR, 11.9; 95% CI, 4.5-31.5) and Hoehn and Yahr (HY) stage <2 (adjusted OR, 3.4; 95% CI, 1.5-7.7) were independent factors for LD-sparing strategies. Non-LD prescriptions (13 of 92; 14.1%) were more likely to be discontinued compared to LD ones (6 of 149; 4.0%) ( P = 0.005)., Conclusions: Drug-prescribing patterns in PD have changed significantly through the last decade, influenced by emerging evidence and reports of adverse drug effects. Choosing drugs based on the patient's age and disease severity remain sound guiding principles across the years. It is important that international and national guidelines for pharmacotherapy in PD be updated consistently throughout different socioeconomic settings to optimize care., Competing Interests: The authors have no conflicts of interest., (Copyright © 2020 Shermyn Neo et al.)

Objective: The success of clinical research and tissue donation programs are highly dependent on recruitment of willing volunteers. A comprehensive survey of patient preferences and attitudes can help identify and address barriers hindering the recruitment for research., Method: This is a cross-sectional study on 105 Parkinson's disease patients who completed an interviewer-administered questionnaire., Results: Out of 105 respondents, 48% of patients had either already participated in clinical research or were keen to participate. About 80% believed clinical research to be safe for their health and privacy. More than 70% of participants were willing to donate blood, urine, or stool, while 16% were agreeable for cerebrospinal fluid sample donation. Motivating factors for clinical research included altruism (64%) and contribution to advance medical knowledge (64%). Common reasons for unwillingness towards clinical research included the risks involved (43%), time constraints (33%), and mobility challenges (24%)., Conclusion: The attitude of Singaporean Parkinson patients toward clinical research and tissue donation is encouraging with about half of the participants willing to support clinical research. Three-quarters of patients would support tissue donations. Participation in research may be further increased with greater patient and public education to overcome misconceptions and also by limiting the demands of studies., Competing Interests: The authors declare that there are no conflicts of interest regarding the publication of this article., (Copyright © 2020 Shazma Khan et al.)

A recent meta-analysis of Parkinson's disease (PD) genome-wide association studies has identified 17 novel risk loci in the European population. We aim to assess if these reported novel risk loci are similarly implicated in PD risk within the East Asian population by analyzing the reported risk single nucleotide polymorphism or proxy single nucleotide polymorphism in 14,006 East Asian samples (779 patients and 13,227 controls). We found that 9 of the 17 reported novel PD risk loci showed very similar effects in Europeans and East Asians (I 2  = 0 to 10.7%), of which 2 loci ITPKB and ZNF184 were significantly associated with PD in our samples. Two of the reported risk loci, ANK2/CAMK2D and CTSB, were non-polymorphic in East Asians and therefore not implicated in PD risk in the East Asian population. Given the small effect sizes of these risk loci, further validation is needed in additional Asian samples., (Copyright © 2019 Elsevier Inc. All rights reserved.)

Parkinson's disease (PD) is characterized by Lewy bodies containing α-synuclein and ubiquitin aggregates, their co-occurrence possibly linked to a failure of the ubiquitin proteasome system. Ubiquitin C-terminal hydrolase L1 (UCHL1) plays an important role in maintenance of nervous system integrity, and overexpression of UCHL1 has been shown to increase ubiquitin levels within neurons. While cerebrospinal fluid ubiquitin levels were reported to be lower in PD vs controls, plasma UCHL1 levels and their relationship with clinical measures in PD has not been reported. We measured plasma UCHL1 levels using single molecule array (Simoa) in 291 subjects (242 PD and 49 healthy controls, HC). We found that UCHL1 levels were significantly higher in PD patients at moderate stages (Hoehn and Yahr, H&Y stage >2) vs milder PD (H&Y ≤2, p <0.001) and HC ( p =0.001). There was no significant difference in UCHL1 levels between PD patients at H&Y stages ≤2 vs HC. Across all PD patients, UCHL1 correlated significantly with UPDRS Part III motor scores ( β =3.87, 95% CI=0.43-7.31, p =0.028), but not with global cognition. Overall, we found that UCHL1 correlates with motor function in PD, with higher levels seen in later disease stages. These findings will be validated in longitudinal studies.

Dysphagia increases risk of pneumonia in patients with Parkinson's disease (PD). However, no studies have investigated the association between objective measures of swallowing dysfunction and clinical outcomes. Therefore, we aimed to study the link between scores obtained on the modified barium swallow impairment scale profile (MBSImP) and hospital admissions for pneumonia and choking, in groups of patients with PD on different feeding modes. 157 patients who completed MBS studies were divided into three groups based on their feeding modes (oral, enteral, and rejected enteral feeding with oral feeding at own risk). Videos were analysed using the MBSImP. We evaluated the association of the oral, pharyngeal, and combined scores, with risk of admission for pneumonia and choking. Kaplan-Meier plots and log-rank tests were used to compare survival distributions among feeding groups. Cox regression models were generated to estimate hazard ratios (HRs) and 95% confidence intervals. Patients in the group that rejected enteral feeding scored the highest on the MBSImP, followed by enteral then oral feeding. Within the group that rejected enteral feeding, higher pharyngeal (HR = 3.73, p = 0.036) and combined scores (HR = 1.63, p = 0.034) significantly increased the risk of pneumonia and choking. In the enteral feeding group, higher oral subscores (HR = 2.16, p = 0.011) increased risk for the event, while higher pharyngeal (HR = 0.40, p = 0.004) subscores reduced risk for pneumonia and choking. This is the first study to analyse the association of MBSImP scores with clinical outcomes in PD patients. Patients who rejected enteral feeding had the highest risk for pneumonia and choking that could be predicted by their MBSImP scores. In the enteral feeding group, this risk was partially reversed. Compliance with feeding modes reduces the risk of pneumonia and choking.

Histopathological examination of brain tissue is required for better understanding of neurodegenerative conditions such as Parkinson's disease and related disorders. However, patient willingness remains the greatest hurdle hampering participation in brain donation for research. While there is extensive research being conducted on the subject in West, to the best of our knowledge, there are no studies done in this regard in Asia. This cross-sectional survey was conducted on 105 Parkinson's disease patients to assess their knowledge, beliefs and attitude towards brain donation in an Asian population. The majority of the participants (78%) acknowledged the importance of donation of brain for research, and 70% believed that their donated brain samples would be handled professionally. Fifty percent participants were willing to consider donating their brain for research. Motivating factors for brain donation included altruism (87%) and contribution to advance medical knowledge (80%). Common reasons for unwillingness towards brain donation were stress for family (30%), disfigurement of body (25%), and having a conservative mindset (23%). About one-third of the participants preferred to be approached for brain donation after their first clinic visit. Most patients preferred either their treating neurologists (66%) or research staff (18%) to discuss brain donation with. Participation for brain donation may be increased further with greater patient and public education to overcome misconceptions and change mindsets.

Background: While the association between alpha-synuclein gene promoter (Rep1) variability and risk of PD is well established, its association with cognition is unclear., Objectives: To investigate the association between Rep1 and motor and cognitive outcomes in PD., Methods: Rep1 allele lengths were determined in 172 PD patients who were grouped into "long" and "short" carriers according to previous methods. Multivariable regression analysis was performed to investigate the effect of Rep1 length on cognitive and motor scores., Results: Long Rep1 allele carriers had significantly lower MMSE (P = 0.010) and higher UPDRS Part III (P = 0.026) and H & Y (P = 0.008) scores compared to short allele carriers (controlled for age, sex, and disease duration). Interaction analyses of Rep1 with apolipoprotein 4 revealed no significant effect on clinical outcomes., Conclusions: PD patients carrying long Rep1 alleles are more impaired on cognitive and motor function independent of apolipoprotein 4 genotype. © 2019 International Parkinson and Movement Disorder Society., (© 2019 International Parkinson and Movement Disorder Society.)

Freezing of Gait (FoG) is a common motor-related impairment among Parkinson's disease patients, which substantially reduces their quality of life and puts them at risk of falls. These patients benefit from wearable FoG detection systems that provide timely biofeedback cues and hence help them regain control over their gait. Unfortunately, the systems proposed thus far are bulky and obtrusive when worn. The objective of this paper is to demonstrate the first integration of an FoG detection system into a single sensor node. To achieve such an integration, features with low computational load are selected and dedicated hardware is designed that limits area and memory utilization. Classification is achieved with a neural network that is capable of learning in real time and thus allows the system to adapt to a patient during run-time. A small form factor FPGA implements the feature extraction and classification, whereas a custom PCB integrates the system into a single node. The system fits into a 4.5 × 3.5 × 1.5 cm 3 housing case, weighs 32 g, and achieves 95.6% sensitivity and 90.2% specificity when adapted to a patient. Biofeedback cues are provided either through auditory or somatosensory means and the system can remain operational for longer than 9 h while providing cues. The proposed system is highly competitive in terms of classification performance and excels with respect to wearability and real-time patient adaptivity.