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  5. Spatial lipidomics reveals sphingolipid metabolism as anti-fibrotic target in the liver
 
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Spatial lipidomics reveals sphingolipid metabolism as anti-fibrotic target in the liver
File(s)
1-s2.0-S0026049525001064-main.pdf (12.94 MB)
Published version
Author(s)
Gruevska, Aleksandra
Leslie, Jack
Perpin˜án, Elena
Maude, Hannah
Collins, Amy L
more
Type
Journal Article
Abstract
Background and aims
Steatotic liver disease (SLD), which encompasses various causes of fat accumulation in the liver, is a major cause of liver fibrosis. Understanding the specific mechanisms of lipotoxicity, dysregulated lipid metabolism, and the role of different hepatic cell types involved in fibrogenesis is crucial for therapy development.
Methods
We analysed liver tissue from SLD patients and 3 mouse models. We combined bulk/spatial lipidomics, transcriptomics, imaging mass cytometry (IMC) and analysis of published spatial and single-cell RNA sequencing (scRNA-seq) data to explore the metabolic microenvironment in fibrosis. Pharmacological inhibition of sphingolipid metabolism with myriocin, fumonisin B1, miglustat and D-PDMP was carried out in hepatic stellate cells (HSCs) and human precision cut liver slices (hPCLSs).
Results
Bulk lipidomics revealed increased glycosphingolipids, ether lipids and saturated phosphatidylcholines in fibrotic samples. Spatial lipidomics detected >40 lipid species enriched within fibrotic regions, notably sphingomyelin (SM) 34:1. Using bulk transcriptomics (mouse) and analysis of published spatial transcriptomics data (human) we found that sphingolipid metabolism was also dysregulated in fibrosis at transcriptome level, with increased gene expression for ceramide and glycosphingolipid synthesis. Analysis of human scRNA-seq data showed that sphingolipid-related genes were widely expressed in non-parenchymal cells. By integrating spatial lipidomics with IMC of hepatic cell markers, we found excellent spatial correlation between sphingolipids, such as SM(34:1), and myofibroblasts. Inhibiting sphingolipid metabolism resulted in anti-fibrotic effects in HSCs and hPCLSs.
Conclusions
Our spatial multi-omics approach suggests cell type-specific mechanisms of fibrogenesis involving sphingolipid metabolism. Importantly, sphingolipid metabolic pathways are modifiable targets, which may have potential as an anti-fibrotic therapeutic strategy.
Date Issued
2025-07-01
Date Acceptance
2025-03-20
Citation
Metabolism, 2025, 168
URI
https://hdl.handle.net/10044/1/119144
URL
https://doi.org/10.1016/j.metabol.2025.156237
DOI
https://www.dx.doi.org/10.1016/j.metabol.2025.156237
ISSN
0026-0495
Publisher
Elsevier BV
Journal / Book Title
Metabolism
Volume
168
Copyright Statement
© 2025 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
License URL
https://creativecommons.org/licenses/by/4.0/
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/40127860
PII: S0026-0495(25)00106-4
Subjects
Imaging mass cytometry
Lipid metabolism
Liver fibrosis
Mass spectrometry imaging
Steatotic liver disease
Publication Status
Published
Coverage Spatial
United States
Article Number
156237
Date Publish Online
2025-03-22
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