Dataset Information

Facile Impedimetric Analysis of Neuronal Exosome Markers in Parkinson's Disease Diagnostics.

ABSTRACT: The egress of ?-synuclein in neuronally derived exosomes predates the clinical presentation of Parkinson's disease (PD), offering a means of developing a predictive or prognostic test. Here, we report the reagentless impedimetric assay of two internal exosome markers (?-synuclein and syntenin-1) from neuronal exosomes. Exosomes were efficiently extracted from patient sera using anti-L1CAM conjugated zwitterionic polymer-modified magnetic beads prior to lysis and analyzed by electrochemical impedance spectroscopy. The quantification of ?-synuclein level across 40 clinical samples resolved statistically significant differences between PD patients and healthy controls (HC).

SUBMITTER: Fu Y

PROVIDER: S-EPMC7584333 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature

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Facile Impedimetric Analysis of Neuronal Exosome Markers in Parkinson's Disease Diagnostics.

Fu Ying Y Jiang Cheng C Tofaris George K GK Davis Jason J JJ

Analytical chemistry 20201005 20

The egress of α-synuclein in neuronally derived exosomes predates the clinical presentation of Parkinson's disease (PD), offering a means of developing a predictive or prognostic test. Here, we report the reagentless impedimetric assay of two internal exosome markers (α-synuclein and syntenin-1) from neuronal exosomes. Exosomes were efficiently extracted from patient sera using anti-L1CAM conjugated zwitterionic polymer-modified magnetic beads prior to lysis and analyzed by electrochemical imped ...[more]

PMID: 32945162

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Project description:Background: Orthostatic hypotension (OH) in Parkinson's disease (PD) can lead to falls, impair quality of life, and increase mortality. A trajectory analysis of OH could be useful to predict and prevent the hypotension incidence early. Methods: The longitudinal data of 660 patients with PD with disease duration up to 12 years were extracted from an integrated PD database. We used latent class mixed modeling (LCMM) to identify patient subgroups, demonstrating trajectories of changes in orthostatic blood pressure (BP) over time. The optimal number of subgroups was selected by several criteria including the Bayesian Information Criterion. Baseline information comparison between groups and backward stepwise logistic regression were conducted to define the distinguishing characteristics of these subgroups and to investigate the predictors for BP trajectory. Results: We identified three trajectories for each orthostatic change of systolic blood pressure (ΔSBP), namely, Class 1 (i.e., the increasing class) consisted of 18 participants with low ΔSBP that increased continuously during the follow-up; Class 2 (i.e., the low-stable class) consisted of 610 participants with low ΔSBP that remained low throughout the follow-up; and Class 3 (i.e., the high-stable class) consisted of 32 participants with high ΔSBP at baseline that was relatively stable throughout the follow-up. Several parameters differed among subgroups, but only male sex [odds ratio (OR) = 4.687, 95% confidence interval (CI) = 1.024-21.459], lower supine diastolic blood pressure (DBP) (OR = 0.934, 95% CI = 0.876-0.996), and lower level of total protein at baseline (OR = 0.812, 95% CI = 0.700-0.941) were significant predictors of an increasing ΔSBP trajectory. Conclusion: This study provides new information on the longitudinal development of ΔSBP in patients with PD with distinct trajectories of rapidly increasing, low-stable, and high-stable class. The parameters such as male sex, lower supine DBP, and lower total proteins help to identify the rapidly increasing class.

Dataset Information

Facile Impedimetric Analysis of Neuronal Exosome Markers in Parkinson's Disease Diagnostics.

Publications

Facile Impedimetric Analysis of Neuronal Exosome Markers in Parkinson's Disease Diagnostics.

Similar Datasets

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