Two-step detection of Lewy body pathology via smell-function testing and CSF α-synuclein seed amplification

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.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2025-08-05
DOI
https://doi.org/10.1038/s41467-025-62458-7
Citations
1
Primary Topic
Parkinson's Disease Mechanisms and Treatments
Type
article
Field-Weighted Citation Impact
1.39

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Two-step detection of Lewy body pathology via smell-function testing and CSF α-synuclein seed amplification

Lyduine E. Collij, Piero Parchi, Sebastian Palmqvist, Rik Ossenkoppele et al.
1 citations
Nature Communications
Parkinson's Disease Mechanisms and Treatments
1.39
article

Two-step detection of Lewy body pathology via smell-function testing and CSF α-synuclein seed amplification

Lyduine E. Collij, Piero Parchi, Sebastian Palmqvist, Rik Ossenkoppele, Charles H. Adler, Sophie E Mastenbroek, Oskar Hansson, Geidy E. Serrano, Frederik Barkhof, Thomas G. Beach, Jacob W. Vogel, Claudia Marina Vargiu, Serena Caldera
article en
1 citations

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 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.

Nature CommunicationsVol. 16(1)
Lund University (SE), Science for Life Laboratory (SE), Amsterdam Neuroscience (NL), Istituto delle Scienze Neurologiche di Bologna (IT), Mayo Clinic in Arizona (US), Skåne University Hospital (SE), Banner Sun Health Research Institute (US), Amsterdam University Medical Centers (NL), Istituti di Ricovero e Cura a Carattere Scientifico (IT), University College London (GB), Vrije Universiteit Amsterdam (NL), Amsterdam UMC Location Vrije Universiteit Amsterdam (NL), University of Bologna (IT)
Lunds Universitet
Good health and well-being
Openalex Percentile: Top 17%
Parkinson's Disease Mechanisms and Treatments
1.39
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.