ArticleFrontiers in immunology2022
Mass spectrometry imaging identifies altered hepatic lipid signatures during experimental
Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 16 citations in OpenAlex.
- Lipid Mediators in Host-Pathogen Interactions duringACS infectious diseases · 2026Review
- Ontogeny independent expression of LPCAT2 in granuloma macrophages during experimental visceral leishmaniasis.Communications biology · 2026Article
- Mass Spectrometry Imaging: Revolutionizing Molecular Insights in Infectious Diseases Research.Pathogens (Basel, Switzerland) · 2025Review
- Integration of hepatic lipidomics and transcriptomics reveals dysregulation of lipid metabolism in a golden hamster model of visceral leishmaniasis.Frontiers in immunology · 2025Article
- Nicotinamide mitigates visceral leishmaniasis by regulating inflammatory response and enhancing lipid metabolism.Parasites & vectors · 2024Article
- The intersection of hostMicrobiology and molecular biology reviews : MMBR · 2024Review
- Quantitative mass spectrometry imaging: therapeutics & biomolecules.Chemical communications (Cambridge, England) · 2024Review
- Applications of MALDI-TOF Mass Spectrometry to the Identification of Parasites and Arthropod Vectors of Human Diseases.Microorganisms · 2022Review
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Spatial analysis of lipids in inflammatory microenvironments is key to understand the pathogenesis of infectious disease. Granulomatous inflammation is a hallmark of leishmaniasis and changes in host and parasite lipid metabolism have been observed at the bulk tissue level in various infection models. Here, mass spectrometry imaging (MSI) is applied to spatially map hepatic lipid composition following infection with Leishmania Methods: Livers from naïve and Results: Aberrant lipid abundances were observed in a heterogeneous distribution across infected mouse livers compared to naïve mouse liver. Distinctive localized correlated lipid masses were found in granulomas and surrounding parenchymal tissue. Structural identification revealed 40 different lipids common to naïve and d14/d20 infected mouse livers, whereas 15 identified lipids were only detected in infected mouse livers. For pathology-guided MSI imaging, we deduced lipids from manually annotated granulomatous and parenchyma regions of interests (ROIs), identifying 34 lipids that showed significantly different intensities between parenchyma and granulomas across all infected livers. Discussion: Our results identify specific lipids that spatially correlate to the major histopathological feature of
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