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Alpha-synuclein aggregation induces prominent cellular lipid changes as revealed by Raman spectroscopy and machine learning analysis
Nathan P. Coles, Suzan Elsheikh, Agathe Quesnel, Lucy Butler, Ojodomo J. Achadu, Meez Islam, Karunakaran Kalesh, Annalisa Occhipinti et al.. Brain Communications, 2025-01-01
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
- This study aimed to investigate biochemical changes associated with α-synuclein aggregation, focusing on lipid changes, using Raman spectroscopy coupled with machine learning.
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.
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Study details
- Evidence strengthLow
How this study scored 41/100
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.
| Component | Points | Why |
|---|---|---|
| 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 | — |
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Read the original
- DOI: 10.1093/braincomms/fcaf133
- PubMed: 40226383
- Original source →
- Free full text: Brain Communications →
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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