Combining imaging mass spectrometry and immunohistochemistry to analyse the lipidome of spinal cord inflammation
dc.contributor.author | Calvo Iraeta, Ibai | |
dc.contributor.author | Montilla López, Alejandro ![]() | |
dc.contributor.author | Huergo Baños, Cristina | |
dc.contributor.author | Martín Saiz, Lucía | |
dc.contributor.author | Martín Allende, Javier | |
dc.contributor.author | Tepavcevic, Vanja | |
dc.contributor.author | Domercq García, María ![]() | |
dc.contributor.author | Fernández González, José Andrés ![]() | |
dc.date.accessioned | 2024-05-14T15:15:00Z | |
dc.date.available | 2024-05-14T15:15:00Z | |
dc.date.issued | 2024-02 | |
dc.identifier.citation | Analytical and Bioanalytical Chemistry 416 : 1923-1933 (2024) | es_ES |
dc.identifier.issn | 1618-2650 | |
dc.identifier.issn | 1618-2642 | |
dc.identifier.uri | http://hdl.handle.net/10810/67938 | |
dc.description.abstract | Inflammation is a complex process that accompanies many pathologies. Actually, dysregulation of the inflammatory process is behind many autoimmune diseases. Thus, treatment of such pathologies may benefit from in-depth knowledge of the metabolic changes associated with inflammation. Here, we developed a strategy to characterize the lipid fingerprint of inflammation in a mouse model of spinal cord injury. Using lipid imaging mass spectrometry (LIMS), we scanned spinal cord sections from nine animals injected with lysophosphatidylcholine, a chemical model of demyelination. The lesions were demonstrated to be highly heterogeneous, and therefore, comparison with immunofluorescence experiments carried out in the same section scanned by LIMS was required to accurately identify the morphology of the lesion. Following this protocol, three main areas were defined: the lesion core, the peri-lesion, which is the front of the lesion and is rich in infiltrating cells, and the uninvolved tissue. Segmentation of the LIMS experiments allowed us to isolate the lipid fingerprint of each area in a precise way, as demonstrated by the analysis using classification models. A clear difference in lipid signature was observed between the lesion front and the epicentre, where the damage was maximized. This study is a first step to unravel the changes in the lipidome associated with inflammation in the context of diverse pathologies, such as multiple sclerosis. | es_ES |
dc.description.sponsorship | Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. This project was supported by grants from the Basque Government (IT1491-22, IT1551-22) and from MCIN/AEI/https://doi.org/10.13039/501100011033 and by “ERDF A way of making Europe” (PID2019-109724RB-I00, PID2021-127918NB-I00 and PID2022-1382760B-100). IC and AM thank the Basque Government and the Spanish Ministry of Education and Science for their predoctoral fellowships. The authors acknowledge the technical support and mass spectrometry resources provided by SGIker (UPV/EHU) as well as the microscope facilities provided by SGIker (UPV/EHU) and the Achucarro Basque Center for Neuroscience. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Springer Nature | es_ES |
dc.relation | info:eu-repo/grantAgreement/MICINN/PID2019-109724RB-I00 | es_ES |
dc.relation | info:eu-repo/grantAgreement/MICINN/PID2021-127918NB-I00 | es_ES |
dc.relation | info:eu-repo/grantAgreement/MICINN/PID2022-1382760B-100 | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | * |
dc.subject | lipidomics | es_ES |
dc.subject | imaging mass spectrometry | es_ES |
dc.subject | inflammation | es_ES |
dc.subject | immunohistochemistry | es_ES |
dc.title | Combining imaging mass spectrometry and immunohistochemistry to analyse the lipidome of spinal cord inflammation | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.holder | © The Author(s) 2024. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. | es_ES |
dc.rights.holder | Atribución 3.0 España | * |
dc.relation.publisherversion | https://link.springer.com/article/10.1007/s00216-024-05190-3 | es_ES |
dc.identifier.doi | 10.1007/s00216-024-05190-3 | |
dc.departamentoes | Lenguajes y sistemas informáticos | es_ES |
dc.departamentoes | Neurociencias | es_ES |
dc.departamentoes | Química física | es_ES |
dc.departamentoeu | Hizkuntza eta sistema informatikoak | es_ES |
dc.departamentoeu | Kimika fisikoa | es_ES |
dc.departamentoeu | Neurozientziak | es_ES |
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Except where otherwise noted, this item's license is described as © The Author(s) 2024. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.