Evidence map›Paper›PMID 39574205›Full record

ReviewTranslational neurodegeneration2024

α-Synuclein seeding amplification assays for diagnosing synucleinopathies: an innovative tool in clinical implementation.

Yaoyun Kuang, Hengxu Mao, Xiaoyun Huang, Minshan Chen, Wei Dai, Tingting Gan, Jiaqi Wang, Hui Sun, Hao Lin, Qin Liu and 2 more

Abstract readReview
In one paragraph

Review in Translational neurodegeneration, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Yaoyun Kuang *Department of Neurology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China.
Hengxu Mao *Department of Neurology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China.
Xiaoyun Huang *Houjie Hospital of Dongguan, Dongguan, 523000, China.
Minshan ChenDepartment of Neurology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China.
Wei DaiDepartment of Neurology, Xinjiang Uygur Autonomous Region People's Hospital, Urumqi, 830054, Xinjiang, China.
Tingting GanThe Second Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, Xinjiang, China.
Jiaqi WangDepartment of Neurology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China.
Hui SunDepartment of Neurology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China.
Hao LinDepartment of Neurology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China.
Qin LiuDepartment of Neurology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China.
Xinling YangThe Second Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, Xinjiang, China. Poplar862@sohu.com.ORCID 0000-0002-4517-0500
Ping-Yi XuDepartment of Neurology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China. pingyixu@sina.com.ORCID 0000-0001-8716-5892

Funding

Central Government Guiding Local Science and Technology Development Projects ZYYD2022C17National Natural Science Foundation of China 81870856National Natural Science Foundation of China 81870992National Natural Science Foundation of China 82071416the Guangdong Basic and Applied Basic Research Foundation 2022B1515230004the Guangzhou Science and Technology Bureau 2024 Basic Research Program Municipal University (Institute) Joint Funding "Dengfeng Hospital" 2023A03J01331the Guangzhou Science and Technology Bureau Municipal University (Institute) Joint Funding Project Basic and Applied Basic Research Project 202201020397the Key Research and Development Program of Guangzhou 2023B03J0631the Municipal University (Faculty) Joint Funding Project 202102010010the Second Affiliated Hospital of Xinjiang Medical University, the State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia SKL-HIDCA-2022-NKX1
6 · The paper itself

Abstract

The spectrum of synucleinopathies, including Parkinson's disease (PD), multiple system atrophy (MSA), and dementia with Lewy bodies (DLB), is characterized by α-synuclein (αSyn) pathology, which serves as the definitive diagnostic marker. However, current diagnostic methods primarily rely on motor symptoms that manifest years after the initial neuropathological changes, thereby delaying potential treatment. The symptomatic overlap between PD and MSA further complicates the diagnosis, highlighting the need for precise and differential diagnostic methods for these overlapping neurodegenerative diseases. αSyn misfolding and aggregation occur before clinical symptoms appear, suggesting that detection of pathological αSyn could enable early molecular diagnosis of synucleinopathies. Recent advances in seed amplification assay (SAA) offer a tool for detecting neurodegenerative diseases by identifying αSyn misfolding in fluid and tissue samples, even at preclinical stages. Extensive research has validated the effectiveness and reproducibility of SAAs for diagnosing synucleinopathies, with ongoing efforts focusing on optimizing conditions for detecting pathological αSyn in more accessible samples and identifying specific αSyn species to differentiate between various synucleinopathies. This review offers a thorough overview of SAA technology, exploring its applications for diagnosing synucleinopathies, addressing the current challenges, and outlining future directions for its clinical use.

Indexed as

alpha-SynucleinSynucleinopathiesHumansLewy Body DiseaseMultiple System AtrophyParkinson Diseasealpha-SynucleinDiagnosisMovement disordersQuiescent seed amplification assaySeed amplification assayα-Synuclein

Identifiers

PMID39574205
PMCPMC11580393

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.