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Spatial Metabolomics and Single-Cell Virtual Knockout Screening Reveal Solanesol Improves Parkinson's Disease-like Pathology Based on Lipid Inflammation Mechanism.

Overview

Authors: Qian Li1,2,3, Lutao Xu2,3, Mingyu Zhu2, Gaoge Wang2, Huan Chen2,3, Hongwei Hou2,3, Yu Bai1
ORCID iDs: Yu Bai
  1. 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
  2. Beijing Life Science Academy, Beijing 102209, China; (L.X.); (M.Z.); (G.W.)
  3. Key Laboratory of Tobacco Biological Effects, China National Tobacco Quality Supervision & Test Center, Zhengzhou 450099, China
Journal: Metabolites, volume 16, issue 8, article 541
Dates: received 3 July 2026; accepted 28 July 2026; published online 31 July 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.3390/metabo16080541 · PMID 42646278 · PMCID PMC13515215 · OpenAlex W7172026813
Open access: gold, a free copy (OpenAlex)
Status: data only
Categories: genetics / omics (modality), Parkinson's (population), cellular / molecular (subfield)
Methods: Statistics, Smoothing, state filtering, decompositions, Machine learning, fMRI & imaging
Keywords: spatial metabolomics, single-cell virtual knockout, Mendelian randomization, Solanesol, Parkinson’s disease, neuroinflammation
Topic: Parkinson's Disease Mechanisms and Treatments (Neurology, Medicine), according to OpenAlex
Funding: National Natural Science Foundation of China (22125401 and 22527807); Henan Science and Technology Department (242102310128); Ministry of Science and Technology of the People's Republic of China (2022YFC3400700); Beijing Life Science Academy (2024100CC0090, 2024100CB0200 and 2023100CB0060)
Citations: not cited yet (Europe PMC); 58 references in the paper

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 FABP3/5. In vivo, Sol attenuated motor and cognitive deficits and largely restored the highly compartmentalized spatial distributions of striatal dopamine, L-DOPA, and acetylcholine. Crucially, AFADESI-MSI and co-enrichment analysis revealed that Sol specifically reversed MPTP-induced spatial disruptions by rescuing key neuromodulatory metabolites—including cervonoyl ethanolamide, phosphatidylcholine species, taurine, and NADHX—which were tightly coupled to sphingolipid signaling, fatty-acid transport, mitochondrial translation, and cell-adhesion pathways. Conclusions: Sol ameliorates PD-like pathology not through a singular target, but by choreographing a spatially and cellularly compartmentalized restoration of lipid–inflammatory homeostasis. Furthermore, our integrated single-cell and spatial metabolomic blueprint sets a new methodological paradigm for elucidating the precise execution programs of natural neurotherapeutics.

Reproduced under the paper's license (CC BY), from the paper cited above.

Code

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Data

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Data Availability Statement

The original contributions presented in this study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding authors.

Reproduced under the paper's license (CC BY), from the paper cited above.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

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://doi.org/10.3390/metabo16080541

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/metabo16080541},
url = {https://doi.org/10.3390/metabo16080541},
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 - 2026/07/31
VL - 16
IS - 8
SP - 541
SN - 2218-1989
PB - Multidisciplinary Digital Publishing Institute (MDPI)
DO - 10.3390/metabo16080541
UR - https://doi.org/10.3390/metabo16080541
LA - en
ER -

CSL-JSON

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