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. 2023 Aug 22;22(9):3068–3080. doi: 10.1021/acs.jproteome.3c00366

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© 2023 The Authors. Published by American Chemical Society

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Predicted CSF secretion probability of established biomarkers of Alzheimer’s Disease. A model was trained on the high confidence CSF data set but with a list of 17 AD biomarkers removed. The model correctly predicts 12 out of 15 CSF biomarkers as being secreted to the CSF, many with a very high probability. Colors indicate the process the biomarker is associated with, illustrating that the model struggles to identify biomarkers of neuronal injury as CSF secreted. Two known PET biomarkers are predicted as non-CSF proteins. The prediction corroborates why for these two imaging biomarkers no assay for measurement in CSF is established. AD – Alzheimer’s Disease; NfL – neurofilament light chain; Ng – neurogranin; PET – positron emission tomography.