Spatial Metabolomics and Single-Cell Virtual Knockout Screening Reveal Solanesol Improves Parkinson's Disease-like Pathology Based on Lipid Inflammation Mechanism.
Overview
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China
- Beijing Life Science Academy, Beijing 102209, China; (L.X.); (M.Z.); (G.W.)
- Key Laboratory of Tobacco Biological Effects, China National Tobacco Quality Supervision & Test Center, Zhengzhou 450099, China
Abstract
Background: Parkinson’s disease (PD) is characterized by a complex interplay of dopaminergic degeneration, glial activation, and lipid metabolic dysregulation. However, accurately describing how natural product interventions remodel these pathologies across distinct brain regions and cellular microenvironments remains a critical challenge. Methods: We established an integrated multi-omics framework to decode the neuroprotective mechanisms of solanesol (Sol) in an MPTP-induced PD mouse model. We combined single-cell eQTL-based Mendelian randomization (scMR), transcriptomic localization, and virtual knockout analyses to prioritize cell-type-specific regulatory nodes across neuronal, glial, and vascular populations, avoiding the limitations of traditional bulk targeting. In vivo behavioral assays were conducted, alongside orthogonal validation via airflow-assisted desorption electrospray ionization mass spectrometry imaging (AFADESI-MSI) and gene–metabolite co-enrichment analysis, to map regional metabolic networks and structural spatial reprogramming. Results: Computational prioritization highlighted cell-type-specific regulatory nodes including PRKCB, PRKCE, PDGFRB, and FABP3/
Reproduced under the paper's license (CC BY), from the paper cited above.
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Data
Datasets cited
- geo:GSE243639 — at NCBI GEO; found in the text, “2.5. Single-Cell Virtual Knockout Analysis”
Data Availability Statement
The original contributions presented in this study are included in the article/
Reproduced under the paper's license (CC BY), from the paper cited above.
Versions
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Version 1, 27 September 2026: the first record
Recorded: type, language, journal, volume, issue, pages, dates, 7 authors, 6 keywords, 4 funders, 58 references.
Cite
This paper
Li, Q., Xu, L., Zhu, M., Wang, G., Chen, H., Hou, H., & Bai, Y. (2026). Spatial Metabolomics and Single-Cell Virtual Knockout Screening Reveal Solanesol Improves Parkinson's Disease-like Pathology Based on Lipid Inflammation Mechanism. Metabolites, 16(8), 541. https://
BibTeX
@article{li2026spatial,
author = {Li, Qian and Xu, Lutao and Zhu, Mingyu and Wang, Gaoge and Chen, Huan and Hou, Hongwei and Bai, Yu},
title = {{Spatial Metabolomics and Single-Cell Virtual Knockout Screening Reveal Solanesol Improves Parkinson's Disease-like Pathology Based on Lipid Inflammation Mechanism}},
journal = {Metabolites},
year = {2026},
month = jul,
volume = {16},
number = {8},
pages = {541},
publisher = {Multidisciplinary Digital Publishing Institute (MDPI)},
issn = {2218-1989},
doi = {10.3390/
url = {https://
pmid = {42646278},
pmcid = {PMC13515215}
}
RIS
TY - JOUR
AU - Li, Qian
AU - Xu, Lutao
AU - Zhu, Mingyu
AU - Wang, Gaoge
AU - Chen, Huan
AU - Hou, Hongwei
AU - Bai, Yu
TI - Spatial Metabolomics and Single-Cell Virtual Knockout Screening Reveal Solanesol Improves Parkinson's Disease-like Pathology Based on Lipid Inflammation Mechanism
T2 - Metabolites
J2 - Metabolites
PY - 2026
DA - 2026/
VL - 16
IS - 8
SP - 541
SN - 2218-1989
PB - Multidisciplinary Digital Publishing Institute (MDPI)
DO - 10.3390/
UR - https://
LA - en
ER -
CSL-JSON
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