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Mass spectrometry imaging identifies altered hepatic lipid signatures during experimental Leishmania donovani infection

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 i...

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Autores principales: Tans, Roel, Dey, Shoumit, Dey, Nidhi Sharma, Cao, Jian-Hua, Paul, Prasanjit S., Calder, Grant, O’Toole, Peter, Kaye, Paul M., Heeren, Ron M. A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9394181/
https://www.ncbi.nlm.nih.gov/pubmed/36003389
http://dx.doi.org/10.3389/fimmu.2022.862104
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author Tans, Roel
Dey, Shoumit
Dey, Nidhi Sharma
Cao, Jian-Hua
Paul, Prasanjit S.
Calder, Grant
O’Toole, Peter
Kaye, Paul M.
Heeren, Ron M. A.
author_facet Tans, Roel
Dey, Shoumit
Dey, Nidhi Sharma
Cao, Jian-Hua
Paul, Prasanjit S.
Calder, Grant
O’Toole, Peter
Kaye, Paul M.
Heeren, Ron M. A.
author_sort Tans, Roel
collection PubMed
description 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 donovani, an experimental mouse model of visceral leishmaniasis. METHODS: Livers from naïve and L. donovani-infected C57BL/6 mice were harvested at 14- and 20-days post-infection (n=5 per time point). 12 µm transverse sections were cut and covered with norhamane, prior to lipid analysis using MALDI-MSI. MALDI-MSI was performed in negative mode on a Rapiflex (Bruker Daltonics) at 5 and 50 µm spatial resolution and data-dependent analysis (DDA) on an Orbitrap-Elite (Thermo-Scientific) at 50 µm spatial resolution for structural identification analysis of lipids. 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 Leishmania donovani infection in the liver, viz. hepatic granulomas. In addition, we identified a three-fold increase in the number of unique phosphatidylglycerols (PGs) in infected liver tissue and provide direct evidence that arachidonic acid-containing phospholipids are localized with hepatic granulomas. These phospholipids may serve as important precursors for downstream oxylipin generation with consequences for the regulation of the inflammatory cascade. This study provides the first description of the use of MSI to define spatial-temporal lipid changes at local sites of infection induced by Leishmania donovani in mice.
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spelling pubmed-93941812022-08-23 Mass spectrometry imaging identifies altered hepatic lipid signatures during experimental Leishmania donovani infection Tans, Roel Dey, Shoumit Dey, Nidhi Sharma Cao, Jian-Hua Paul, Prasanjit S. Calder, Grant O’Toole, Peter Kaye, Paul M. Heeren, Ron M. A. Front Immunol Immunology 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 donovani, an experimental mouse model of visceral leishmaniasis. METHODS: Livers from naïve and L. donovani-infected C57BL/6 mice were harvested at 14- and 20-days post-infection (n=5 per time point). 12 µm transverse sections were cut and covered with norhamane, prior to lipid analysis using MALDI-MSI. MALDI-MSI was performed in negative mode on a Rapiflex (Bruker Daltonics) at 5 and 50 µm spatial resolution and data-dependent analysis (DDA) on an Orbitrap-Elite (Thermo-Scientific) at 50 µm spatial resolution for structural identification analysis of lipids. 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 Leishmania donovani infection in the liver, viz. hepatic granulomas. In addition, we identified a three-fold increase in the number of unique phosphatidylglycerols (PGs) in infected liver tissue and provide direct evidence that arachidonic acid-containing phospholipids are localized with hepatic granulomas. These phospholipids may serve as important precursors for downstream oxylipin generation with consequences for the regulation of the inflammatory cascade. This study provides the first description of the use of MSI to define spatial-temporal lipid changes at local sites of infection induced by Leishmania donovani in mice. Frontiers Media S.A. 2022-07-28 /pmc/articles/PMC9394181/ /pubmed/36003389 http://dx.doi.org/10.3389/fimmu.2022.862104 Text en Copyright © 2022 Tans, Dey, Dey, Cao, Paul, Calder, O’Toole, Kaye and Heeren https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Immunology
Tans, Roel
Dey, Shoumit
Dey, Nidhi Sharma
Cao, Jian-Hua
Paul, Prasanjit S.
Calder, Grant
O’Toole, Peter
Kaye, Paul M.
Heeren, Ron M. A.
Mass spectrometry imaging identifies altered hepatic lipid signatures during experimental Leishmania donovani infection
title Mass spectrometry imaging identifies altered hepatic lipid signatures during experimental Leishmania donovani infection
title_full Mass spectrometry imaging identifies altered hepatic lipid signatures during experimental Leishmania donovani infection
title_fullStr Mass spectrometry imaging identifies altered hepatic lipid signatures during experimental Leishmania donovani infection
title_full_unstemmed Mass spectrometry imaging identifies altered hepatic lipid signatures during experimental Leishmania donovani infection
title_short Mass spectrometry imaging identifies altered hepatic lipid signatures during experimental Leishmania donovani infection
title_sort mass spectrometry imaging identifies altered hepatic lipid signatures during experimental leishmania donovani infection
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9394181/
https://www.ncbi.nlm.nih.gov/pubmed/36003389
http://dx.doi.org/10.3389/fimmu.2022.862104
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