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Characterisation of hepatic lipid signature distributed across the liver zonation using mass spectrometry imaging
BACKGROUND & AIMS: Lipid metabolism plays an important role in liver pathophysiology. The liver lobule asymmetrically distributes oxygen and nutrition, resulting in heterogeneous metabolic functions. Periportal and pericentral hepatocytes have different metabolic functions, which lead to generat...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10240278/ https://www.ncbi.nlm.nih.gov/pubmed/37284141 http://dx.doi.org/10.1016/j.jhepr.2023.100725 |
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author | Seubnooch, Patcharamon Montani, Matteo Tsouka, Sofia Claude, Emmanuelle Rafiqi, Umara Perren, Aurel Dufour, Jean-Francois Masoodi, Mojgan |
author_facet | Seubnooch, Patcharamon Montani, Matteo Tsouka, Sofia Claude, Emmanuelle Rafiqi, Umara Perren, Aurel Dufour, Jean-Francois Masoodi, Mojgan |
author_sort | Seubnooch, Patcharamon |
collection | PubMed |
description | BACKGROUND & AIMS: Lipid metabolism plays an important role in liver pathophysiology. The liver lobule asymmetrically distributes oxygen and nutrition, resulting in heterogeneous metabolic functions. Periportal and pericentral hepatocytes have different metabolic functions, which lead to generating liver zonation. We developed spatial metabolic imaging using desorption electrospray ionisation mass spectrometry to investigate lipid distribution across liver zonation with high reproducibility and accuracy. METHODS: Fresh frozen livers from healthy mice with control diet were analysed using desorption electrospray ionisation mass spectrometry imaging. Imaging was performed at 50 μm × 50 μm pixel size. Regions of interest (ROIs) were manually created by co-registering with histological data to determine the spatial hepatic lipids across liver zonation. The ROIs were confirmed by double immunofluorescence. The mass list of specific ROIs was automatically created, and univariate and multivariate statistical analysis were performed to identify statistically significant lipids across liver zonation. RESULTS: A wide range of lipid species was identified, including fatty acids, phospholipids, triacylglycerols, diacylglycerols, ceramides, and sphingolipids. We characterised hepatic lipid signatures in three different liver zones (periportal zone, midzone, and pericentral zone) and validated the reproducibility of our method for measuring a wide range of lipids. Fatty acids were predominantly detected in the periportal region, whereas phospholipids were distributed in both the periportal and pericentral zones. Interestingly, phosphatidylinositols, PI(36:2), PI(36:3), PI(36:4), PI(38:5), and PI(40:6) were located predominantly in the midzone (zone 2). Triacylglycerols and diacylglycerols were detected mainly in the pericentral region. De novo triacylglycerol biosynthesis appeared to be the most influenced pathway across the three zones. CONCLUSIONS: The ability to accurately assess zone-specific hepatic lipid distribution in the liver could lead to a better understanding of lipid metabolism during the progression of liver disease. IMPACT AND IMPLICATIONS: Zone-specific hepatic lipid metabolism could play an important role in lipid homoeostasis during disease progression. Herein, we defined the zone-specific references of hepatic lipid species in the three liver zones using molecular imaging. The de novo triacylglycerol biosynthesis was highlighted as the most influenced pathway across the three zones. |
format | Online Article Text |
id | pubmed-10240278 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-102402782023-06-06 Characterisation of hepatic lipid signature distributed across the liver zonation using mass spectrometry imaging Seubnooch, Patcharamon Montani, Matteo Tsouka, Sofia Claude, Emmanuelle Rafiqi, Umara Perren, Aurel Dufour, Jean-Francois Masoodi, Mojgan JHEP Rep Research Article BACKGROUND & AIMS: Lipid metabolism plays an important role in liver pathophysiology. The liver lobule asymmetrically distributes oxygen and nutrition, resulting in heterogeneous metabolic functions. Periportal and pericentral hepatocytes have different metabolic functions, which lead to generating liver zonation. We developed spatial metabolic imaging using desorption electrospray ionisation mass spectrometry to investigate lipid distribution across liver zonation with high reproducibility and accuracy. METHODS: Fresh frozen livers from healthy mice with control diet were analysed using desorption electrospray ionisation mass spectrometry imaging. Imaging was performed at 50 μm × 50 μm pixel size. Regions of interest (ROIs) were manually created by co-registering with histological data to determine the spatial hepatic lipids across liver zonation. The ROIs were confirmed by double immunofluorescence. The mass list of specific ROIs was automatically created, and univariate and multivariate statistical analysis were performed to identify statistically significant lipids across liver zonation. RESULTS: A wide range of lipid species was identified, including fatty acids, phospholipids, triacylglycerols, diacylglycerols, ceramides, and sphingolipids. We characterised hepatic lipid signatures in three different liver zones (periportal zone, midzone, and pericentral zone) and validated the reproducibility of our method for measuring a wide range of lipids. Fatty acids were predominantly detected in the periportal region, whereas phospholipids were distributed in both the periportal and pericentral zones. Interestingly, phosphatidylinositols, PI(36:2), PI(36:3), PI(36:4), PI(38:5), and PI(40:6) were located predominantly in the midzone (zone 2). Triacylglycerols and diacylglycerols were detected mainly in the pericentral region. De novo triacylglycerol biosynthesis appeared to be the most influenced pathway across the three zones. CONCLUSIONS: The ability to accurately assess zone-specific hepatic lipid distribution in the liver could lead to a better understanding of lipid metabolism during the progression of liver disease. IMPACT AND IMPLICATIONS: Zone-specific hepatic lipid metabolism could play an important role in lipid homoeostasis during disease progression. Herein, we defined the zone-specific references of hepatic lipid species in the three liver zones using molecular imaging. The de novo triacylglycerol biosynthesis was highlighted as the most influenced pathway across the three zones. Elsevier 2023-03-09 /pmc/articles/PMC10240278/ /pubmed/37284141 http://dx.doi.org/10.1016/j.jhepr.2023.100725 Text en © 2023 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Research Article Seubnooch, Patcharamon Montani, Matteo Tsouka, Sofia Claude, Emmanuelle Rafiqi, Umara Perren, Aurel Dufour, Jean-Francois Masoodi, Mojgan Characterisation of hepatic lipid signature distributed across the liver zonation using mass spectrometry imaging |
title | Characterisation of hepatic lipid signature distributed across the liver zonation using mass spectrometry imaging |
title_full | Characterisation of hepatic lipid signature distributed across the liver zonation using mass spectrometry imaging |
title_fullStr | Characterisation of hepatic lipid signature distributed across the liver zonation using mass spectrometry imaging |
title_full_unstemmed | Characterisation of hepatic lipid signature distributed across the liver zonation using mass spectrometry imaging |
title_short | Characterisation of hepatic lipid signature distributed across the liver zonation using mass spectrometry imaging |
title_sort | characterisation of hepatic lipid signature distributed across the liver zonation using mass spectrometry imaging |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10240278/ https://www.ncbi.nlm.nih.gov/pubmed/37284141 http://dx.doi.org/10.1016/j.jhepr.2023.100725 |
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