Literature DB >> 36273219

Plasma proteome profiling identifies changes associated to AD but not to FTD.

R Babapour Mofrad1,2, M Del Campo1,3,4, C F W Peeters5,6, L H H Meeter7, H Seelaar8, M Koel-Simmelink1, I H G B Ramakers9, H A M Middelkoop10,11, P P De Deyn12,13, J A H R Claassen14, J C van Swieten7, C Bridel1, J J M Hoozemans15, P Scheltens2, W M van der Flier2,5, Y A L Pijnenburg2, Charlotte E Teunissen16.   

Abstract

BACKGROUND: Frontotemporal dementia (FTD) is caused by frontotemporal lobar degeneration (FTLD), characterized mainly by inclusions of Tau (FTLD-Tau) or TAR DNA binding43 (FTLD-TDP) proteins. Plasma biomarkers are strongly needed for specific diagnosis and potential treatment monitoring of FTD. We aimed to identify specific FTD plasma biomarker profiles discriminating FTD from AD and controls, and between FTD pathological subtypes. In addition, we compared plasma results with results in post-mortem frontal cortex of FTD cases to understand the underlying process.
METHODS: Plasma proteins (n = 1303) from pathologically and/or genetically confirmed FTD patients (n = 56; FTLD-Tau n = 16; age = 58.2 ± 6.2; 44% female, FTLD-TDP n = 40; age = 59.8 ± 7.9; 45% female), AD patients (n = 57; age = 65.5 ± 8.0; 39% female), and non-demented controls (n = 148; 61.3 ± 7.9; 41% female) were measured using an aptamer-based proteomic technology (SomaScan). In addition, exploratory analysis in post-mortem frontal brain cortex of FTD (n = 10; FTLD-Tau n = 5; age = 56.2 ± 6.9, 60% female, and FTLD-TDP n = 5; age = 64.0 ± 7.7, 60% female) and non-demented controls (n = 4; age = 61.3 ± 8.1; 75% female) were also performed. Differentially regulated plasma and tissue proteins were identified by global testing adjusting for demographic variables and multiple testing. Logistic lasso regression was used to identify plasma protein panels discriminating FTD from non-demented controls and AD, or FTLD-Tau from FTLD-TDP. Performance of the discriminatory plasma protein panels was based on predictions obtained from bootstrapping with 1000 resampled analysis.
RESULTS: Overall plasma protein expression profiles differed between FTD, AD and controls (6 proteins; p = 0.005), but none of the plasma proteins was specifically associated to FTD. The overall tissue protein expression profile differed between FTD and controls (7-proteins; p = 0.003). There was no difference in overall plasma or tissue expression profile between FTD subtypes. Regression analysis revealed a panel of 12-plasma proteins discriminating FTD from AD with high accuracy (AUC: 0.99). No plasma protein panels discriminating FTD from controls or FTD pathological subtypes were identified.
CONCLUSIONS: We identified a promising plasma protein panel as a minimally-invasive tool to aid in the differential diagnosis of FTD from AD, which was primarily associated to AD pathophysiology. The lack of plasma profiles specifically associated to FTD or its pathological subtypes might be explained by FTD heterogeneity, calling for FTD studies using large and well-characterize cohorts.
© 2022. The Author(s).

Entities:  

Keywords:  AD; Alzheimer’s disease; FTD; Frontotemporal dementia; Plasma biomarkers; Somascan

Year:  2022        PMID: 36273219     DOI: 10.1186/s40478-022-01458-w

Source DB:  PubMed          Journal:  Acta Neuropathol Commun        ISSN: 2051-5960            Impact factor:   7.578


  52 in total

Review 1.  Frontotemporal dementia.

Authors:  David Neary; Julie Snowden; David Mann
Journal:  Lancet Neurol       Date:  2005-11       Impact factor: 44.182

Review 2.  Frontotemporal lobar degeneration: epidemiology, pathophysiology, diagnosis and management.

Authors:  Gil D Rabinovici; Bruce L Miller
Journal:  CNS Drugs       Date:  2010-05       Impact factor: 5.749

Review 3.  Review: Fluid biomarkers for frontotemporal dementias.

Authors:  H Zetterberg; J C van Swieten; A L Boxer; J D Rohrer
Journal:  Neuropathol Appl Neurobiol       Date:  2018-12-03       Impact factor: 8.090

Review 4.  The overlap of symptomatic dimensions between frontotemporal dementia and several psychiatric disorders that appear in late adulthood.

Authors:  Mariangeles Pose; Marcelo Cetkovich; Ezequiel Gleichgerrcht; Agustin Ibáñez; Teresa Torralva; Facundo Manes
Journal:  Int Rev Psychiatry       Date:  2013-04

5.  Distinct genetic forms of frontotemporal dementia.

Authors:  H Seelaar; W Kamphorst; S M Rosso; A Azmani; R Masdjedi; I de Koning; J A Maat-Kievit; B Anar; L Donker Kaat; G J Breedveld; D Dooijes; J M Rozemuller; I F Bronner; P Rizzu; J C van Swieten
Journal:  Neurology       Date:  2008-08-13       Impact factor: 9.910

Review 6.  The genetics and neuropathology of frontotemporal lobar degeneration.

Authors:  Anne Sieben; Tim Van Langenhove; Sebastiaan Engelborghs; Jean-Jacques Martin; Paul Boon; Patrick Cras; Peter-Paul De Deyn; Patrick Santens; Christine Van Broeckhoven; Marc Cruts
Journal:  Acta Neuropathol       Date:  2012-08-14       Impact factor: 17.088

Review 7.  Neuropathological background of phenotypical variability in frontotemporal dementia.

Authors:  Keith A Josephs; John R Hodges; Julie S Snowden; Ian R Mackenzie; Manuela Neumann; David M Mann; Dennis W Dickson
Journal:  Acta Neuropathol       Date:  2011-05-26       Impact factor: 17.088

Review 8.  Imaging and fluid biomarkers in frontotemporal dementia.

Authors:  Lieke H Meeter; Laura Donker Kaat; Jonathan D Rohrer; John C van Swieten
Journal:  Nat Rev Neurol       Date:  2017-06-16       Impact factor: 42.937

9.  Cerebrospinal fluid biomarkers for differentiation of frontotemporal lobar degeneration from Alzheimer's disease.

Authors:  David J Irwin; John Q Trojanowski; Murray Grossman
Journal:  Front Aging Neurosci       Date:  2013-02-21       Impact factor: 5.750

Review 10.  Clinical review. Frontotemporal dementia.

Authors:  Jason D Warren; Jonathan D Rohrer; Martin N Rossor
Journal:  BMJ       Date:  2013-08-06
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