3 research outputs found

    Clinical and Imaging Markers of Prodromal Parkinson's Disease

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    The diagnosis of Parkinson's disease (PD) relies on the clinical effects of dopamine deficiency, including bradykinesia, rigidity and tremor, usually manifesting asymmetrically. Misdiagnosis is common, due to overlap of symptoms with other neurodegenerative disorders such as multiple system atrophy and progressive supranuclear palsy, and only autopsy can definitively confirm the disease. Motor deficits generally appear when 50–60% of dopaminergic neurons in the substantia nigra are already lost, limiting the effectiveness of potential neuroprotective therapies. Today, we consider PD to be not just a movement disorder, but rather a complex syndrome non-motor symptoms (NMS) including disorders of sleep-wake cycle regulation, cognitive impairment, disorders of mood and affect, autonomic dysfunction, sensory symptoms and pain. Symptomatic LRRK2 mutation carriers share non-motor features with individuals with sporadic PD, including hyposmia, constipation, impaired color discrimination, depression, and sleep disturbance. Following the assumption that the pre-symptomatic gene mutation carriers will eventually exhibit clinical symptoms, their neuroimaging results can be extended to the pre-symptomatic stage of PD. The long latent phase of PD, termed prodromal-PD, represents an opportunity for early recognition of incipient PD. Early recognition could allow initiation of possible neuroprotective therapies at a stage when therapies might be most effective. The number of markers with the sufficient level of evidence to be included in the MDS research criteria for prodromal PD have increased during the last 10 years. Here, we review the approach to prodromal PD, with an emphasis on clinical and imaging markers and report results from our neuroimaging study, a retrospective evaluation of a cohort of 39 participants who underwent DAT-SPECT scan as part of their follow up. The study was carried out to see if it was possible to detect subclinical signs in the preclinical (neurodegenerative processes have commenced, but there are no evident symptoms or signs) and prodromal (symptoms and signs are present, but are yet insufficient to define disease) stages of PD

    CSF total and oligomeric α-Synuclein along with TNF-α as risk biomarkers for Parkinson's disease: A study in LRRK2 mutation carriers

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    Background: Asymptomatic carriers of leucine-rich repeat kinase 2 (LRRK2) gene mutations constitute an ideal population for discovering prodromal biomarkers of Parkinson's disease (PD). In this study, we aim to identify CSF candidate risk biomarkers of PD in individuals with LRRK2 mutation carriers. Methods: We measured the levels of CSF total- (t-), oligomeric (o-) and phosphorylated S129 (pS129-) α-syn, total-tau (tTau), phosphorylated threonine 181 tau (pTau), amyloid-beta 40 (Aβ-40), amyloid-beta-42 (Aβ-42) and 40 inflammatory chemokines in symptomatic (n = 23) and asymptomatic (n = 51) LRRK2 mutation carriers, subjects with a clinical diagnosis of PD (n = 60) and age-matched healthy controls (n = 34). General linear models corrected for age and gender were performed to assess differences in CSF biomarkers between the groups. Markers that varied significantly between the groups were then analyzed using backward-elimination logistic regression analysis to identify an ideal biomarkers panel of prodromal PD. Results: Discriminant function analysis revealed low levels of CSF t-α-syn, high levels of CSF o-α-syn and TNF-α best discriminated asymptomatic LRRK2 mutation carriers from both symptomatic PD and healthy controls. Assessing the discriminative power using receiver operating curve analysis, an area under the curve > 0.80 was generated. Conclusions: The current study suggests that CSF t-, o-α-syn and TNF-α are candidate risk biomarkers for the detection of PD at the prodromal stage. Our findings also highlight the dynamic interrelationships between CSF proteins and the importance of using a biomarkers' panel approach for an accurate and timely diagnosis of PD

    CSF total and oligomeric α-Synuclein along with TNF-α as risk biomarkers for Parkinson\u27s disease: a study in LRRK2 mutation carriers

    No full text
    Background: Asymptomatic carriers of leucine-rich repeat kinase 2 (LRRK2) gene mutations constitute an idealpopulation for discovering prodromal biomarkers of Parkinson’s disease (PD). In this study, we aim to identify CSFcandidate risk biomarkers of PD in individuals with LRRK2 mutation carriers.Methods: We measured the levels of CSF total- (t-), oligomeric (o-) and phosphorylated S129 (pS129-) α-syn, totaltau(tTau), phosphorylated threonine 181 tau (pTau), amyloid-beta 40 (Aβ-40), amyloid-beta-42 (Aβ-42) and 40inflammatory chemokines in symptomatic (n = 23) and asymptomatic (n = 51) LRRK2 mutation carriers, subjects witha clinical diagnosis of PD (n = 60) and age-matched healthy controls (n = 34). General linear models corrected forage and gender were performed to assess differences in CSF biomarkers between the groups. Markers that variedsignificantly between the groups were then analyzed using backward-elimination logistic regression analysis toidentify an ideal biomarkers panel of prodromal PD.Results: Discriminant function analysis revealed low levels of CSF t-α-syn, high levels of CSF o-α-syn and TNF-α bestdiscriminated asymptomatic LRRK2 mutation carriers from both symptomatic PD and healthy controls. Assessing thediscriminative power using receiver operating curve analysis, an area under the curve > 0.80 was generated.Conclusions: The current study suggests that CSF t-, o-α-syn and TNF-α are candidate risk biomarkers for thedetection of PD at the prodromal stage. Our findings also highlight the dynamic interrelationships between CSFproteins and the importance of using a biomarkers’ panel approach for an accurate and timely diagnosis of PD.Keywords: Parkinson’s disease, LRRK2 mutation carriers, Alpha-synuclein oligomers, Biomarkers, Inflammatorymarker
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