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CSF Proteomics in Patients With Progressive Supranuclear Palsy
Amy Wise1, Jingyao Li1, Mai Yamakawa1
1From the Weill Institute for Neurosciences (A.W., L.M., H.W.H., A.L.-L., A.M.S., A.C., J.T., P.A.L., L.V., L.T.G., S.S., W.W.S., B.L.M., J.C.R., A.L.B.), Department of Neurology, Memory and Aging Center, University of California, San Francisco; Novartis Institutes for Biomedical Research, Inc. (J. Li, J. Loureiro, B.P., K.W., R.S., J.-A.P.), Cambridge, MA; Department of Neurology (M.Y., J.R.), University of California, Los Angeles; The Bluefield Project to Cure FTD (L.M.); Department of Neurology (B.F.B.), Mayo Clinic, Rochester, MN; Department of Neurology (B.C.D., A.-M.A.W.), Massachusetts General Hospital and Harvard Medical School, Boston; Department of Neurology (M.G.), University of Pennsylvania, Philadelphia; Department of Neurology (I.L.), University of California, San Diego; Department of Neurology (A.P.), Johns Hopkins University, Baltimore, MD; Department of Neurology (M.C.T.), University of Toronto, Ontario, Canada; and Departments of Mathematics and Statistics (Z.Z.), University of California, Los Angeles.
Background And Objectives:
Identification of fluid biomarkers for progressive supranuclear palsy (PSP) is critical to enhance therapeutic development. We implemented unbiased DNA aptamer (SOMAmer) proteomics to identify novel CSF PSP biomarkers.
Methods:
This is a cross-sectional study in original (18 clinically diagnosed PSP-Richardson syndrome [PSP-RS], 28 cognitively healthy controls]), validation (23 PSP-RS, 26 healthy controls), and neuropathology-confirmed (21 PSP, 52 non-PSP frontotemporal lobar degeneration) cohorts. Participants were recruited through the University of California, San Francisco, and the 4-Repeat Neuroimaging Initiative. The original and neuropathology cohorts were analyzed with the SomaScan platform version 3.0 (5026-plex) and the validation cohort with version 4.1 (7595-plex). Clinical severity was measured with the PSP Rating Scale (PSPRS). CSF proteomic data were analyzed to identify differentially expressed targets, implicated biological pathways using enrichment and weighted consensus gene coexpression analyses, diagnostic value of top targets with receiver-operating characteristic curves, and associations with disease severity with linear regressions.
Results:
A total of 136 participants were included (median age 70.6 ± 8 years, 68 [50%] women). One hundred fifty-five of 5,026 (3.1%), 959 of 7,595 (12.6%), and 321 of 5,026 (6.3%) SOMAmers were differentially expressed in PSP compared with controls in original, validation, and neuropathology-confirmed cohorts, with most of the SOMAmers showing reduced signal (83.1%, 95.1%, and 73.2%, respectively). Three coexpression modules were associated with PSP across cohorts: (1) synaptic function/JAK-STAT (β = -0.044, corrected p = 0.002), (2) vesicle cytoskeletal trafficking (β = 0.039, p = 0.007), and (3) cytokine-cytokine receptor interaction (β = -0.032, p = 0.035) pathways. Axon guidance was the top dysregulated pathway in PSP in original (strength = 1.71, p < 0.001), validation (strength = 0.84, p < 0.001), and neuropathology-confirmed (strength = 0.78, p < 0.001) cohorts. A panel of axon guidance pathway proteins discriminated between PSP and controls in original (area under the curve [AUC] = 0.924), validation (AUC = 0.815), and neuropathology-confirmed (AUC = 0.932) cohorts. Two inflammatory proteins, galectin-10 and cytotoxic T lymphocyte-associated protein-4, correlated with PSPRS scores across cohorts.
Discussion:
Axon guidance pathway proteins and several other molecular pathways are downregulated in PSP, compared with controls. Proteins in these pathways may be useful targets for biomarker or therapeutic development.
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