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This page is alzhub.org's plain-English summary of a published study, not the paper itself. It is generated from the record we hold for this study, sourced and linked below — check the original for the full text and methods.

✓ Peer-reviewed alzhub usefulness score 41 out of 100. Digital health tools

Topic: Brain proteins, microglia and lab models

Abstract The aggregation of α-synuclein is a central neuropathological hallmark in neurodegenerative disorders known as Lewy body diseases, including Parkinson's disease and dementia with Lewy bodies. In the aggregation process, α-synuclein transitions from its native disordered/α-helical form to a β-sheet-rich structure, forming oligomers and protofibrils that accumulate into Lewy bodies, in a process that is thought to underlie neurodegeneration. Lipids are thought to play a critical role in this process by facilitating α-synuclein aggregation and contributing to cell toxicity, possibly through ceramide production. This study aimed to investigate biochemical changes associated with α-synuclein aggregation, focusing on lipid changes, using Raman spectroscopy coupled with machine learning. HEK293, Neuro2a and SH-SY5Y expressing increased levels of α-synuclein were treated with sonicated α-synuclein pre-formed fibrils, to model seeded aggregation. Raman spectroscopy, complemented by an in-house lipid spectral library, was used to monitor the aggregation process and its effects on cellular viability over 14 days. We detected α-synuclein aggregation by assessing β-sheet peaks at 1045 cm⁻1, in cells treated with α-synuclein pre-formed fibrils, using machine learning (principal component analysis and uniform manifold approximation and projection) analysis based on Raman spectral features. Changes in lipid profiles, and especially sphingolipids, including a decrease in sphingomyelin and increase in ceramides, were observed, consistent with oxidative stress and apoptosis. Altogether, our study informs on biochemical alterations that can be considered for the design of therapeutic strategies for Parkinson's disease and related synucleinopathies.

Key findings

Why it matters

This laboratory study used Raman spectroscopy and machine learning to examine lipid changes during alpha-synuclein aggregation in cells, which is relevant to Lewy body diseases. It is early cell-based work and does not test any treatment, cure or prevention in people.

Study details

How this study scored 41/100
How this study's score is builtJournal tier 9 of 10; Journal's citation record 0 of 4; Study design 0 of 12; Strength of evidence 1 of 5; Peer-review validation 10 of 10; How recent 4 of 5; Sample size 0 of 4; Effect reported 0 of 3; Studied in people 0 of 3; Randomised / blinded 0 of 2; Times cited 2 of 7; Citations per year 1 of 5; Impact for its field and year 3 of 6; Cited by studies here 1 of 6; Still being cited 1 of 4; Senior author's track record 2 of 4; Institution's track record 1 of 3; Multi-centre collaboration 2 of 3; Indexed in PubMed 2 of 2; Free to read 2 of 2. Total 41 of 100.41 of 100 points earned59 not earned

Published in a leading specialty journal. Scored zero for study design, sample size, effect reported, studied in people and randomised / blinded because the record does not state it.

ComponentPointsWhy
Journal tier 9 / 10 Tier 2 — leading specialty journal (Brain Communications)
Journal's citation record 0 / 4 Brain Communications: journal h-index 67 (OpenAlex, 2026-10-29)
Study design 0 / 12 No study design recorded — scores zero, not guessed (not stated in the record — scored 0)
Strength of evidence 1 / 5 Rated “low” in our summary
Peer-review validation 10 / 10 Peer-reviewed. Published as an article in a named peer-reviewed journal.
How recent 4 / 5 2025 — within 3 year(s) of the newest study here
Sample size 0 / 4 Participant count not stated — scores zero (not stated in the record — scored 0)
Effect reported 0 / 3 No effect size reported — scores zero (not stated in the record — scored 0)
Studied in people 0 / 3 Not stated whether this was studied in people — scores zero (not stated in the record — scored 0)
Randomised / blinded 0 / 2 No randomisation or blinding stated — scores zero (not stated in the record — scored 0)
Times cited 2 / 7 Cited 8 times (OpenAlex, 2026-10-10)
Citations per year 1 / 5 2.7 citations a year over 3 year(s) since 2025
Impact for its field and year 3 / 6 Cited 4.5× the average for papers of its field and year (OpenAlex FWCI)
Cited by studies here 1 / 6 Cited by 1 other studies in this library
Still being cited 1 / 4 Cited 8 times in 2024–2026 (2026 still in progress; OpenAlex)
Senior author's track record 2 / 4 Last-listed author Ahmad Adam Khundakar: h-index 22 (OpenAlex, whole career)
Institution's track record 1 / 3 University of Göttingen: institution h-index 934 (OpenAlex)
Multi-centre collaboration 2 / 3 OpenAlex lists 8 institution(s) in 3 countries
Indexed in PubMed 2 / 2 Indexed in PubMed (PMID 40226383)
Free to read 2 / 2 Free to read
Total 41 / 100 —

What each of these 20 components measures, and what this score is not →

Read the original

Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).

Cite this study APA, Vancouver, BibTeX · download .bib or .ris

Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. The record's author list ends in “et al.”, so not every author is named. Check the citation against the original before you use it.

APA 7th

Coles, N. P., Elsheikh, S., Quesnel, A., Butler, L., Achadu, O. J., Islam, M., et al. (2025). Alpha-synuclein aggregation induces prominent cellular lipid changes as revealed by Raman spectroscopy and machine learning analysis. Brain Communications. https://doi.org/10.1093/braincomms/fcaf133

Vancouver

Coles NP, Elsheikh S, Quesnel A, Butler L, Achadu OJ, Islam M, et al. Alpha-synuclein aggregation induces prominent cellular lipid changes as revealed by Raman spectroscopy and machine learning analysis. Brain Communications. 2025. doi:10.1093/braincomms/fcaf133. PMID: 40226383.

BibTeX

@article{coles2025-40226383,
  author  = {Coles, Nathan P. and Elsheikh, Suzan and Quesnel, Agathe and Butler, Lucy and Achadu, Ojodomo J. and Islam, Meez and Kalesh, Karunakaran and Occhipinti, Annalisa and others},
  title   = {{Alpha-synuclein aggregation induces prominent cellular lipid changes as revealed by Raman spectroscopy and machine learning analysis}},
  journal = {Brain Communications},
  year    = {2025},
  doi     = {10.1093/braincomms/fcaf133},
  pmid    = {40226383},
  url     = {https://doi.org/10.1093/braincomms/fcaf133}
}

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