ArticleJournal of neurochemistry2025
Direct Current Stimulation (DCS) Modulates Lipid Metabolism and Intercellular Vesicular Trafficking in SHSY-5Y Cell Line: Implications for Parkinson's Disease.
Article in Journal of neurochemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Transcranial direct current stimulation exerts neuroprotective effects in Parkinson's disease by restoring Mlst8-mediated autophagic homeostasis.Journal of translational medicine · 2026Article
- Unveiling Exosomes and Microvesicles in Parkinson's Disease: Mechanistic Insights Into Cell Death Pathways and Therapeutic Potential.Molecular neurobiology · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors.
Funding
Abstract
The modulation of the brain's electrical activity for therapeutic purposes has recently gained attention, supported by the promising results obtained through the non-invasive application of transcranial direct current stimulation (tDCS) in the treatment of neurodegenerative and neurological diseases. To optimize therapeutic efficacy, it is crucial to investigate the cellular and molecular effects of tDCS. This will help to identify important biomarkers, predict patient's response and develop personalized treatments. In this study, we applied direct current stimulation (DCS) to a neural cell line, using mild currents over short periods of time (0.5 mA, 20 min), with 24-h intervals. We observed that DCS induced changes in the cellular lipidome, with transient effects observed after a single stimulation (lasting 24 h) and more significant, long-lasting effects (up to 72 h) after repeated stimulation cycles. In neural cells, multiple DCS treatment modulated structural membrane lipids (PE, PS, PI), downregulated glycerol lipids with ether-linked fatty acids and pro-inflammatory lipids (ceramides and lyso-glycerophospholipids) (p ≤ 0.005). Multiple DCS sessions altered transcriptional activity by decreasing the expression of inflammatory cytokines (TNF-α, p ≤ 0.05; IL-1β, p ≤ 0.01), while increasing the expression of neuroprotective factors such as heme oxygenase-1 (p ≤ 0.0001) and brain-derived neurotrophic factor (p ≤ 0.05), as well as proteins involved in vesicular transport (SNARE, sorting nexins and seipin and α-synuclein; p ≤ 0.05). In addition, DCS enhanced the release of extracellular vesicles, with repeated stimulations significantly increasing the release of exosomes threefold. In conclusion, while a single electrical stimulation induces transient metabolic changes with limited phenotypic effects, repeated applications induce a broader and deeper modulation of lipid species. This may lead to a neuroprotective and neuroplasticity-focussed transcriptional profile, potentially supporting the therapeutic effects of tDCS at the cellular and molecular level in patients..
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.