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CSF proteome profiling reveals biomarkers to discriminate dementia with Lewy bodies from Alzheimer´s disease

Authors :
del Campo, Marta
Vermunt, Lisa
Peeters, Carel F.W.
Sieben, Anne
Hok-A-Hin, Yanaika S.
Lleó, Alberto
Alcolea, Daniel
van Nee, Mirrelijn
Engelborghs, Sebastiaan
van Alphen, Juliette L.
Arezoumandan, Sanaz
Chen-Plotkin, Alice
Irwin, David J.
van der Flier, Wiesje M.
Lemstra, Afina W.
Teunissen, Charlotte E.
del Campo, Marta
Vermunt, Lisa
Peeters, Carel F.W.
Sieben, Anne
Hok-A-Hin, Yanaika S.
Lleó, Alberto
Alcolea, Daniel
van Nee, Mirrelijn
Engelborghs, Sebastiaan
van Alphen, Juliette L.
Arezoumandan, Sanaz
Chen-Plotkin, Alice
Irwin, David J.
van der Flier, Wiesje M.
Lemstra, Afina W.
Teunissen, Charlotte E.
Source :
ISSN: 2041-1723
Publication Year :
2023

Abstract

Diagnosis of dementia with Lewy bodies (DLB) is challenging and specific biofluid biomarkers are highly needed. We employed proximity extension-based assays to measure 665 proteins in the cerebrospinal fluid (CSF) from patients with DLB (n = 109), Alzheimer´s disease (AD, n = 235) and cognitively unimpaired controls (n = 190). We identified over 50 CSF proteins dysregulated in DLB, enriched in myelination processes among others. The dopamine biosynthesis enzyme DDC was the strongest dysregulated protein, and could efficiently discriminate DLB from controls and AD (AUC:0.91 and 0.81 respectively). Classification modeling unveiled a 7-CSF biomarker panel that better discriminate DLB from AD (AUC:0.93). A custom multiplex panel for six of these markers (DDC, CRH, MMP-3, ABL1, MMP-10, THOP1) was developed and validated in independent cohorts, including an AD and DLB autopsy cohort. This DLB CSF proteome study identifies DLB-specific protein changes and translates these findings to a practicable biomarker panel that accurately identifies DLB patients, providing promising diagnostic and clinical trial testing opportunities.

Details

Database :
OAIster
Journal :
ISSN: 2041-1723
Notes :
application/pdf, Nature Communications 14 (2023) 1, ISSN: 2041-1723, ISSN: 2041-1723, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1415728994
Document Type :
Electronic Resource