Extended Data Fig. 5: Classification of Parkinson’s Disease in CSF data. | Nature Structural & Molecular Biology

Extended Data Fig. 5: Classification of Parkinson’s Disease in CSF data.

From: Global, in situ analysis of the structural proteome in individuals with Parkinson’s disease to identify a new class of biomarker

Extended Data Fig. 5: Classification of Parkinson’s Disease in CSF data.The alternative text for this image may have been generated using AI.

a, ROC curves for classification of PD based on LiP peptide variation. In this case, LiP peptide intensities were neither corrected for trypsin-only peptide intensities nor for protein abundance. b, ROC curves for classification of PD based on LiP peptide variation. In this case, LiP peptide intensities were not corrected for protein abundance. c, ROC curves for classification of PD based on LiP peptide variation. In this case, LiP peptide intensities were not corrected for trypsin-only peptide intensities. d, ROC curves for classification of PD based on ELISA measurement of different a-synuclein species from. e, Total α-synuclein levels compared to the ratio of the oligomeric/total α-synuclein level across the cohort. f, Oligomeric α-synuclein levels compared to the ratio of the oligomeric/total α-synuclein level across the cohort. For (e) and (f), each dot represents a single individual. g, Comparison of classification of the PDG using the ratio of oligomeric to total a-synuclein (log odds plotted on x axis) and using a combination of five LiP peptide levels (log odds plotted on y axis). Each point represents an individual and the HY-stage is indicated by color. Numerical data for graphs in a-g are available as source data.

Source data

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