Identification of novel cerebrospinal fluid biomarker candidates for dementia with Lewy bodies: a proteomic approach

Background Diagnosis of dementia with Lewy bodies (DLB) is challenging, largely due to a lack of diagnostic tools. Cerebrospinal fluid (CSF) biomarkers have been proven useful in Alzheimer’s disease (AD) diagnosis. Here, we aimed to identify novel CSF biomarkers for DLB using a high-throughput prote...

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Veröffentlicht in:Molecular neurodegeneration 2020-06, Vol.15 (1), p.1-36, Article 36
Hauptverfasser: van Steenoven, Inger, Koel-Simmelink, Marleen J. A., Vergouw, Leonie J. M., Tijms, Betty M., Piersma, Sander R., Pham, Thang V., Bridel, Claire, Ferri, Gian-Luca, Cocco, Cristina, Noli, Barbara, Worley, Paul F., Xiao, Mei-Fang, Xu, Desheng, Oeckl, Patrick, Otto, Markus, van der Flier, Wiesje M., de Jong, Frank Jan, Jimenez, Connie R., Lemstra, Afina W., Teunissen, Charlotte E.
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Sprache:eng
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Zusammenfassung:Background Diagnosis of dementia with Lewy bodies (DLB) is challenging, largely due to a lack of diagnostic tools. Cerebrospinal fluid (CSF) biomarkers have been proven useful in Alzheimer’s disease (AD) diagnosis. Here, we aimed to identify novel CSF biomarkers for DLB using a high-throughput proteomic approach. Methods We applied liquid chromatography/tandem mass spectrometry with label-free quantification to identify biomarker candidates to individual CSF samples from a well-characterized cohort comprising patients with DLB (n = 20) and controls (n = 20). Validation was performed using (1) the identical proteomic workflow in an independent cohort (n = 30), (2) proteomic data from patients with related neurodegenerative diseases (n = 149) and (3) orthogonal techniques in an extended cohort consisting of DLB patients and controls (n = 76). Additionally, we utilized random forest analysis to identify the subset of candidate markers that best distinguished DLB from all other groups. Results In total, we identified 1995 proteins. In the discovery cohort, 69 proteins were differentially expressed in DLB compared to controls (p
ISSN:1750-1326
1750-1326
DOI:10.1186/s13024-020-00388-2