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Author Notes:

Marta del Campo Milan, Department of Clinical Chemistry, Neurochemistry laboratory VU University Medical Center (VUmc), PK1 Br016, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands. E-mail: m.delcampomilan@vumc.nl

MC developed the study concept and design, and was responsible of acquisition of data, statistical analysis and interpretation, and drafting/revision of the manuscript; NE, LB, and KW carried out the immunoassay analyses, and SP carried out the enzyme activities; JvS, YP, TB, and DG participated in acquisition and interpretation data and the critical revision of the manuscript; WH participated in acquisition, analysis and interpretation of data, and in the critical revision of the manuscript; CT developed the study concept and design, and was involved in acquisition of data, analysis and interpretation, drafting/revision of the manuscript, and study supervision.

All authors read and approved the final manuscript.

MC, NE, LB, KW, SP, DG, TB, and YP report no disclousures; complete list of disclosures available in full text.

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Research Funding:

This work was funded by Association for Frontotemporal Degeneration grant ; Alzheimer's Drug Discovery Foundation grant ; ZonMw grant .

Novel CSF biomarkers to discriminate FTLD and its pathological subtypes

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Journal Title:

Annals of Clinical and Translational Neurology

Volume:

Volume 5, Number 10

Publisher:

, Pages 1163-1175

Type of Work:

Article | Final Publisher PDF

Abstract:

Objective: Frontotemporal lobar degeneration (FTLD) is the second most prevalent dementia in young patients and is characterized by the presence of two main protein aggregates in the brain, tau (FTLD‐Tau) or TDP43 (FTLD‐TDP), which likely require distinct pharmacological therapy. However, specific diagnosis of FTLD and its subtypes remains challenging due to largely overlapping clinical phenotypes. Here, we aimed to assess the clinical performance of novel cerebrospinal fluid (CSF) biomarkers for discrimination of FTLD and its pathological subtypes. Methods: YKL40, FABP4, MFG‐E8, and the activities of catalase and specific lysosomal enzymes were analyzed in patients with FTLD‐TDP (n = 30), FTLD‐Tau (n = 20), AD (n = 30), DLB (n = 29), and nondemented controls (n = 29) obtained from two different centers. Models were validated in an independent CSF cohort (n = 188). Results: YKL40 and catalase activity were increased in FTLD‐TDP cases compared to controls. YKL40 levels were also higher in FTLD‐TDP compared to FTLD‐Tau. We identified biomarker models able to discriminate FTLD from nondemented controls (MFG‐E8, tTau, and Aβ 42; 78% sensitivity and 83% specificity) and non‐FTLD dementia (YKL40, pTau, p/tTau ratio, and age; 90% sensitivity, 78% specificity), which were validated in an independent cohort. In addition, we identified a biomarker model differentiating FTLD‐TDP from FTLD‐Tau (YKL40, MFGE‐8, βHexA together with βHexA/tHex and p/tTau ratios and age) with 80% sensitivity and 82% specificity. Interpretation: This study identifies CSF protein signatures distinguishing FTLD and the two main pathological subtypes with optimal accuracy (specificity/sensitivity > 80%). Validation of these models may allow appropriate selection of cases for clinical trials targeting the accumulation of Tau or TDP43, thereby increasing their efficiency and facilitating the development of successful therapies.

Copyright information:

Copyright © 2018 The Authors. Annals of Clinical and Translational Neurology published by Wiley Periodicals, Inc on behalf of American Neurological Association. CC BY NC ND 4.0

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