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Aβ1-42 peptide toxicity on neuronal cells: A lipidomic study
Lara Davani1, Xiaoqing Fu2, Angela De Simone3
1Department for Life Quality Studies, University of Bologna, Corso D' Augusto 237, 47921 Rimini, Italy.
Journal of Pharmaceutical and Biomedical Analysis
|June 24, 2022
Summary
This study developed a lipidomic approach to understand amyloid toxicity in Alzheimer's Disease (AD) by analyzing lipid changes in brain cells. The findings may help identify new lipid biomarkers for early AD detection.
Area of Science:
- Neuroscience
- Biochemistry
- Lipidomics
Background:
- Alzheimer's Disease (AD) pathogenesis and early lipid changes remain unclear.
- Amyloid aggregation is central to early AD, impacting brain tissues years before symptoms.
- Identifying early biomarkers is crucial for understanding and treating AD.
Purpose of the Study:
- To develop a lipidomic approach evaluating amyloid-beta (Aβ) toxic effects on human neuroblastoma cells (SH-SY5Y).
- To identify qualitative and quantitative lipid variations linked to amyloid toxicity.
- To discover novel lipid-based biomarkers resulting from amyloid peptide-cell membrane interactions.
Main Methods:
- Differentiated SH-SY5Y cells were treated with varying concentrations of Aβ1-42 over different time points.
- Lipid extraction was performed using a 2-propanol-water precipitation protocol.
- Lipid profiles were analyzed using LC-MS with data-independent SWATH acquisition, processed by MS-DIAL.
Main Results:
- Identified and relatively quantified altered lipid species in SH-SY5Y cells exposed to Aβ1-42.
- Demonstrated the suitability of the lipidomic approach for revealing lipid alterations correlated with Aβ aggregation species.
- Observed lipid changes consistent with literature findings from AD patient cerebrospinal fluid and plasma.
Conclusions:
- The developed in vitro model effectively highlights lipid alterations in response to amyloid toxicity.
- This method can explore cellular responses to toxic stimuli and identify potential AD biomarkers.
- Further validation could establish this approach for preliminary biomarker identification in AD patients.

