Evidence map›Paper›PMID 38483306›Full record

ArticleeLife2024

Plasma extracellular vesicle synaptic proteins as biomarkers of clinical progression in patients with Parkinson's disease.

Chien-Tai Hong, Chen-Chih Chung, Ruan-Ching Yu, Lung Chan

Abstract read
In one paragraph

Article in eLife, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 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

4 authors.

Chien-Tai HongDepartment of Neurology, Shuang Ho Hospital, Taipei Medical University-Shuang Ho Hospital, New Taipei City, Taiwan.ORCID https://orcid.org/0000-0002-7448-1041
Chen-Chih ChungDepartment of Neurology, Shuang Ho Hospital, Taipei Medical University-Shuang Ho Hospital, New Taipei City, Taiwan.
Ruan-Ching YuDivision of Psychiatry, University College London, London, United Kingdom.
Lung ChanDepartment of Neurology, Shuang Ho Hospital, Taipei Medical University-Shuang Ho Hospital, New Taipei City, Taiwan.ORCID https://orcid.org/0000-0001-5795-4460

Funding

Minister of Science and Technology MOST 110-2314-B-038-096National Science Council 111-2314-B-038-136
6 · The paper itself

Abstract

Synaptic dysfunction plays a key role in Parkinson's disease (PD), and plasma extracellular vesicle (EV) synaptic proteins are emerging as biomarkers for neurodegenerative diseases. Assessment of plasma EV synaptic proteins for their efficacy as biomarkers in PD and their relationship with disease progression was conducted. In total, 144 participants were enrolled, including 101 people with PD (PwP) and 43 healthy controls (HCs). The changes in plasma EV synaptic protein levels between baseline and 1-year follow-up did not differ significantly in both PwP and HCs. In PwP, the changes in plasma EV synaptic protein levels were significantly associated with the changes in Unified Parkinson's Disease Rating Scale (UPDRS)-II and III scores. Moreover, PwP with elevated levels (first quartile) of any one plasma EV synaptic proteins (synaptosome-associated protein 25, growth-associated protein 43 or synaptotagmin-1) had significantly greater disease progression in UPDRS-II score and the postural instability and gait disturbance subscore in UPDRS-III than did the other PwP after adjustment for age, sex, and disease duration. The promising potential of plasma EV synaptic proteins as clinical biomarkers of disease progression in PD was suggested. However, a longer follow-up period is warranted to confirm their role as prognostic biomarkers.

Indexed as

Extracellular VesiclesParkinson DiseaseBiomarkersDisease ProgressionGaitHumansBiomarkersextracellular vesiclehumanmedicineneuroscienceParkinson's diseasesynpatic protein

Identifiers

PMID38483306
PMCPMC10939498

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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.