35 research outputs found

    CSF Protein Level of Neurotransmitter Secretion, Synaptic Plasticity, and Autophagy in PD and DLB

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    BACKGROUND: Molecular pathways associated with α-synuclein proteostasis have been detected in genetic studies and in cell models and include autophagy, ubiquitin-proteasome system, mitochondrial homeostasis, and synaptic plasticity. However, we lack biomarkers that are representative for these pathways in human biofluids. OBJECTIVE: The objective of this study was to evaluate CSF protein profiles of pathways related to α-synuclein proteostasis. METHODS: We assessed CSF protein profiles associated with neurotransmitter secretion, synapse plasticity, and autophagy in 2 monocentric cohorts with α-synucleinopathy (385 PD patients and 67 DLB patients). We included 80 PD patients and 17 DLB patients with variants in the glucocerebrosidase gene to serve as proxy for accelerated α-synuclein pathology with pronounced clinical trajectories. RESULTS: (1) Proteins associated with neurotransmitter secretion, synaptic plasticity, and endolysosomal autophagy were lower in PD and DLB patients compared with healthy controls. (2) These patterns were more pronounced in DLB than in PD patients, accentuated by GBA variant status in both entities. (3) CSF levels of these proteins were positively associated with CSF levels of total α-synuclein, with lower levels of proteostasis proteins related to lower levels of total α-synuclein. (4) These findings could be confirmed longitudinally. PD patients with low CSF profiles of proteostasis proteins showed lower CSF levels of α-synuclein longitudinally compared with PD patients with a normal proteostasis profile. CONCLUSION: CSF proteins associated with neurotransmitter secretion, synaptic plasticity, and endolysosomal autophagy might serve as biomarkers related to α-synuclein proteostasis in PD and DLB

    Prevalence and Subtypes of Mild Cognitive Impairment in Parkinson's Disease.

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    The current study examined the prevalence and subtypes of Mild Cognitive Impairment (MCI) in an Australian sample of people with Parkinson's Disease (PD). Seventy participants with PD completed neuropsychological assessments of their cognitive performance, using MDS Task Force Level II diagnostic criteria for PD-MCI. A cut-off score of less than one standard deviation (SD) below normative data determined impaired performance on a neuropsychological test. Of 70 participants, 45 (64%) met Level II diagnostic criteria for PD-MCI. Among those with PD-MCI, 42 (93%) were identified as having multiple domain impairment (28 as amnestic multiple domain and 14 as nonamnestic multiple domain). Single domain impairment was less frequent (2 amnestic/1 nonamnestic). Significant differences were found between the PD-MCI and Normal Cognition groups, across all cognitive domains. Multiple domain cognitive impairment was more frequent than single domain impairment in an Australian sample of people with PD. However, PD-MCI is heterogeneous and current prevalence and subtyping statistics may be an artifact of variable application methods of the criteria (e.g., cut off scores and number of tests). Future longitudinal studies refining the criteria will assist with subtyping the progression of PD-MCI, while identifying individuals who may benefit from pharmacological and nonpharmacological interventions

    [Helpful instrumental examinations in idiopathic Parkinson's disease]

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    Item does not contain fulltextBACKGROUND: The clinical diagnosis of idiopathic Parkinson's disease (iPD) can be challenging. In these cases, additional diagnostic methods are available that can help to improve diagnostic accuracy. OBJECTIVES, MATERIAL AND METHODS: This article provides an overview of currently available and promising novel ancillary methods for the early and differential diagnosis of iPD. RESULTS: Imaging tools, such as 1.5 Tesla magnetic resonance imaging (MRI) and computed tomography (CT) are mainly used for the differentiation between iPD and symptomatic parkinsonian syndromes (PS). High-resolution diffusion tensor imaging and iron and neuromelanin-sensitive high-field MRI sequences can become important in the future, particularly for earlier diagnosis. Transcranial Bmode sonography of the substantia nigra and basal ganglia is established for early and differential diagnostics, especially in the combination of diagnostic markers but necessitates an adequately trained investigator and the use of validated digital image analysis instruments. DATScan can discriminate iPD from essential tremor, medication-induced parkinsonism and psychogenic movement disorder but not iPD from atypical PS. For the latter differential diagnosis, fluorodeoxyglucose positron emission tomography and myocardial metaiodobenzylguanidine scintigraphy can be helpful. Olfactory testing should preferably be used in combination with other diagnostic tests. Genetic, biochemical and histopathological tests are currently not recommended for routine use. Novel sensor-based techniques have a high potential to support clinical diagnosis of iPD but have not yet reached a developmental stage that is sufficient for clinical use. Novel sensor-based techniques have high potential to support clinical diagnosis of iPD, but have not yet reached a development stage that is sufficient for clinical use. CONCLUSION: Ancillary diagnostic methods can support the early and differential diagnosis of iPD

    [Diagnostics of clinical and prodromal idiopathic Parkinson's disease : New criteria]

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    Item does not contain fulltextBACKGROUND: Recently, the Movement Disorder Society (MDS) published an adaptation of the previous United Kingdom Brain Bank Society (UKBBS) criteria for the diagnosis of idiopathic Parkinson's disease (iPD). OBJECTIVES: This article presents the changes in the current clinical diagnostic criteria for IPD. Furthermore, the new MDS criteria for prodromal iPD are discussed. RESULTS: The recently introduced MDS criteria for the clinical diagnosis of iPD include useful novel features (e.g. postural instability is no longer listed as a cardinal symptom, familiar history of iPD and intake of neuroleptics at the first visit no longer lead to exclusion of the diagnosis) and red flags do not lead to exclusion of the diagnosis; however, they must be counterbalanced by the presence of supportive criteria for iPD. The criteria for identification of persons in the prodromal stage are currently established only for scientific investigations. CONCLUSION: The new MDS criteria for the diagnostics of iPD should help to improve the sensitivity and specificity

    Exploration of whether socioeconomic factors affect the results of priority setting partnerships: updating the top 10 research priorities for the management of Parkinson's in an international setting

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    Objectives Explore whether socioeconomic differences of patients affect the prioritisation of pre-existing research questions and explore the agreement between healthcare professionals (HCP) and patients in priority setting partnerships (PSPs). Design and setting Prospective, three centre survey across UK (400 participants), Tuebingen (176 participants) and Luxembourg (303 participants). People with Parkinson's (PwP), research participants, relatives and HCP associated with three Parkinson's cohort studies were invited to participate, along with linked centres (clinical care settings, research groups, charities). Responders were encouraged to pass on the survey to friends/families/carers. Methods The survey involved rating the importance of research questions on a Likert scale, allowing for the generation of one new question participants felt was particularly important. Collection of demographic information allowed for comparisons of priorities across a range of socioeconomic variables; the top 10 research priorities for each group were then compared. Questions added by participants were subject to a thematic analysis. Results 879 participants completed the survey (58% PwP, 22% family/friends, 13% HCP, 4% carers). Finding the best form of physiotherapy for PwP was the number one priority across the majority of analyses. HCP were the only subgroup not to place physiotherapy in the top 10. Factors most likely to affect prioritisation in PwP included educational level, presence of carer support and disease duration. There was little difference between other socioeconomic categories. Conclusions Socioeconomic factors modestly influenced some research priority ratings but did not significantly affect the top priority in most comparisons. Future studies must ensure patients from a range of socioeconomic backgrounds are recruited, ensuring results generalisable to the public while also identifying any key disparities in prioritisation. PSP should also take care that HCP do not skew results during prioritisation of questions, as in this study the most important priority to patients was not identified by professionals

    Third ventricular width assessed by transcranial ultrasound correlates with cognitive performance in Parkinson's disease

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    Introduction: Cognitive impairment and dementia are common in PD; however, no stable marker of cognitive dysfunction is available. Transcranial sonography can evaluate global and focal brain atrophy and has been widely used in the differential diagnosis of parkinsonism. Methods: 225 consecutive PD patients were recruited in a two-center cross sectional study and underwent a standardized sonographic protocol assessing the third ventricle's width and substantia nigra hyperechogenicity. All subjects were evaluated with an extensive motor and cognitive battery. Results: 222 PD patients were included and classified as PD with normal cognition (PDNC; n = 130), mild cognitive impairment (PD-MCI; n = 61) and dementia (PDD; n = 31). Ventricular width correlated strongly with cognitive performance in all cognitive domains (p < 0.001) while SN size did not. PDD patients had significantly wider ventricles than PD patients without dementia (p < 0.001) while differences between PD-MCI and PDNC or PDD were less strong (p < 0.05). There were no group differences in SN size. ROC analyses resulted in age-related cut-offs of third ventricular diameter for the prediction of PDD (6.0 and 7.5 mm for subjects < and ≄70 years of age, respectively). These cut-offs significantly differentiated PDD from PDNC (p < 0.001) and from all patients without dementia (PDNC + PD-MCI; p < 0.001). Conclusions: The third ventricular diameter correlated with cognitive performance in all domains and was able to differentiate PDD patients from those without dementia. Longitudinal studies are warranted to evaluate whether transcranial sonography could identify PD patients at risk for a rapid cognitive decline
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