Evidence map›Paper›PMID 41477482›Full record

ArticleBiophysics reports2025

Cholesterol modulates vesicle clustering mediated by alpha-synuclein in a nonlinear fashion.

Owen Tyoe, Chinta Aryal, Jiajie Diao

Abstract read
In one paragraph

Article in Biophysics reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Owen TyoeDepartment of Physics, University of Cincinnati College of Arts and Sciences, Cincinnati, OH 45221, USA.
Chinta AryalDepartment of Cancer and Cell Biology, University of Cincinnati College of Medicine, Cincinnati, OH 45267, USA.
Jiajie DiaoDepartment of Cancer and Cell Biology, University of Cincinnati College of Medicine, Cincinnati, OH 45267, USA.

Funding

The role of VAMP2 in alpha-synuclein function and pathologyR01NS121077 · NINDS · UNIVERSITY OF CINCINNATI · PI BURRE, JACQUELINE, DIAO, JIAJIE · 2021 to 2025
$1.9M
NINDS NIH HHS R01 NS121077
6 · The paper itself

Abstract

α-Synuclein (α-Syn) is a presynaptic protein primarily associated with Parkinson's disease and other neurodegenerative diseases. The cholesterol content in SV membranes regulates α-Syn binding to synaptic vesicles, changing its function and modifying its aggregation. Using single-vesicle imaging, we show that low concentrations of cholesterol reduce vesicle clustering, and high concentrations enhance vesicle clustering mediated by α-Syn. Furthermore, using all-atom molecular dynamics simulation, we investigate the role of cholesterol in synaptic-like vesicle clustering mediated by α-Syn. In particular, we found cholesterol reduces hydrogen bonds and interaction energies in low concentrations, while high concentrations of cholesterol increase hydrogen bonds and interaction energies. Moreover, cholesterol also regulates lipid packing defects, and the condensation of cholesterol leads to the suppression of shallow packing defects, and enhancement of large defects with increasing cholesterol concentration. We revealed that cholesterol promoted vesicle clustering is due to the electrostatic interaction between cholesterol in the membrane and the N-terminal region of α-Syn. Moreover, this increased electrostatic interaction arises from a change in packing defect distribution of the protein-membrane interface induced by cholesterol condensation. This work highlights the complex interplay between α-Syn and cholesterol, emphasizing the importance of cholesterol levels in membranes and their impact on α-Syn function.

Indexed as

CholesterolLipidsMembranesProteinsVesicles

Identifiers

PMID41477482
PMCPMC12749123

What Socratic holds

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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 Socratic graph.