Two-step detection of Lewy body pathology via smell-function testing and CSF α-synuclein seed amplification
(2025) In Nature Communications 16(1).- Abstract
Cerebrospinal fluid (CSF) α-synuclein (α-syn) seed amplification assays (SAAs) can detect Lewy body pathology (LBP) with high accuracy but are invasive and costly. To address these challenges, this study evaluated a two-step workflow combining prescreening via smell-function testing with confirmatory CSF α-syn SAA testing only in individuals with reduced smell, for predicting postmortem LBP status. Among 358 autopsied participants, the two-step workflow predicted brain LBP with high accuracy overall (94%), and within clinical subgroups (clinical parkinsonism=95%; clinical Alzheimer’s disease [AD]=94%; clinically unimpaired [CU]=93%). It reduced the need for confirmatory CSF testing by 43% overall (23% clinical parkinsonism; 35% clinical... (More)
Cerebrospinal fluid (CSF) α-synuclein (α-syn) seed amplification assays (SAAs) can detect Lewy body pathology (LBP) with high accuracy but are invasive and costly. To address these challenges, this study evaluated a two-step workflow combining prescreening via smell-function testing with confirmatory CSF α-syn SAA testing only in individuals with reduced smell, for predicting postmortem LBP status. Among 358 autopsied participants, the two-step workflow predicted brain LBP with high accuracy overall (94%), and within clinical subgroups (clinical parkinsonism=95%; clinical Alzheimer’s disease [AD]=94%; clinically unimpaired [CU]=93%). It reduced the need for confirmatory CSF testing by 43% overall (23% clinical parkinsonism; 35% clinical AD; 80% CU). In an independent in vivo cohort (N=1209), the workflow predicted CSF α-syn SAA status with 79% accuracy and reduced CSF testing by 26%. This approach may reduce invasive CSF testing, alleviating patient burden and lowering healthcare costs.
(Less)
- author
- organization
- publishing date
- 2025-12
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Nature Communications
- volume
- 16
- issue
- 1
- article number
- 7182
- publisher
- Nature Publishing Group
- external identifiers
-
- scopus:105012622846
- pmid:40764485
- ISSN
- 2041-1723
- DOI
- 10.1038/s41467-025-62458-7
- language
- English
- LU publication?
- yes
- id
- c31d4491-c68b-4084-a227-27884d0a9c65
- date added to LUP
- 2025-10-22 08:34:32
- date last changed
- 2025-11-19 10:37:59
@article{c31d4491-c68b-4084-a227-27884d0a9c65,
abstract = {{<p>Cerebrospinal fluid (CSF) α-synuclein (α-syn) seed amplification assays (SAAs) can detect Lewy body pathology (LBP) with high accuracy but are invasive and costly. To address these challenges, this study evaluated a two-step workflow combining prescreening via smell-function testing with confirmatory CSF α-syn SAA testing only in individuals with reduced smell, for predicting postmortem LBP status. Among 358 autopsied participants, the two-step workflow predicted brain LBP with high accuracy overall (94%), and within clinical subgroups (clinical parkinsonism=95%; clinical Alzheimer’s disease [AD]=94%; clinically unimpaired [CU]=93%). It reduced the need for confirmatory CSF testing by 43% overall (23% clinical parkinsonism; 35% clinical AD; 80% CU). In an independent in vivo cohort (N=1209), the workflow predicted CSF α-syn SAA status with 79% accuracy and reduced CSF testing by 26%. This approach may reduce invasive CSF testing, alleviating patient burden and lowering healthcare costs.</p>}},
author = {{Mastenbroek, Sophie E. and Collij, Lyduine E. and Vogel, Jacob W. and Caldera, Serena and Serrano, Geidy E. and Adler, Charles H. and Vargiu, Claudia Marina and Palmqvist, Sebastian and Barkhof, Frederik and Parchi, Piero and Beach, Thomas G. and Ossenkoppele, Rik and Hansson, Oskar}},
issn = {{2041-1723}},
language = {{eng}},
number = {{1}},
publisher = {{Nature Publishing Group}},
series = {{Nature Communications}},
title = {{Two-step detection of Lewy body pathology via smell-function testing and CSF α-synuclein seed amplification}},
url = {{http://dx.doi.org/10.1038/s41467-025-62458-7}},
doi = {{10.1038/s41467-025-62458-7}},
volume = {{16}},
year = {{2025}},
}
