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Functional mass spectrometry imaging maps phospholipase-A2 enzyme activity during osteoarthritis progression

Background: Enzymes are central components of many physiological processes, and changes in enzyme activity are linked to numerous disease states, including osteoarthritis (OA). Assessing changes in enzyme function can be challenging because of difficulties in separating affected tissue areas that re...

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Autores principales: Fan, Xiwei, Young, Reuben S. E., Sun, Antonia Rujia, Hamilton, Brett R., Nedunchezhiyan, Udhaya, Crawford, Ross, Blanksby, Stephen J., Prasadam, Indira
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ivyspring International Publisher 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10465221/
https://www.ncbi.nlm.nih.gov/pubmed/37649605
http://dx.doi.org/10.7150/thno.86623
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author Fan, Xiwei
Young, Reuben S. E.
Sun, Antonia Rujia
Hamilton, Brett R.
Nedunchezhiyan, Udhaya
Crawford, Ross
Blanksby, Stephen J.
Prasadam, Indira
author_facet Fan, Xiwei
Young, Reuben S. E.
Sun, Antonia Rujia
Hamilton, Brett R.
Nedunchezhiyan, Udhaya
Crawford, Ross
Blanksby, Stephen J.
Prasadam, Indira
author_sort Fan, Xiwei
collection PubMed
description Background: Enzymes are central components of many physiological processes, and changes in enzyme activity are linked to numerous disease states, including osteoarthritis (OA). Assessing changes in enzyme function can be challenging because of difficulties in separating affected tissue areas that result in the homogenisation of healthy and diseased cells. Direct correlation between spatially-resolved enzyme distribution(s) and diseased cells/tissues can thus lead to advances in our understanding of OA pathophysiology. Herein, we present a method that uses mass spectrometry imaging (MSI) to visualise the distribution of lipase enzymes and their downstream lipid products in fresh bone and cartilage tissue sections. Immunohistostaining of adjacent tissue sections was then used to identify OA cells/tissues, which were then statistically correlated with molecular-level images. Methods: MSI was used to image lipase enzymes, their substrates, and their metabolic products to validate enzymatic activity and correlate to OA regions determined by immunohistochemistry (IHC). Based on the modified Mankin score, six non-OA and OA patient-matched osteochondral samples were analysed by matrix-assisted laser desorption/ionisation mass spectrometry imaging (MALDI-MSI). Due to the involvement of phospholipase A2 (PLA(2)) in inflammatory pathways, explant tissues were treated with IL-1β to mimic inflammation observed in OA. Bovine explant tissues were then subject to MSI methods to observe the spatial distribution of PLA(2). Results: Compared with non-OA samples, OA samples showed an elevated level of multiple arachidonic acid (AA)-containing phospholipids (P < 0.001), in which the elevation in the surface and deep layer cartilage of OA tissues is correlated to elevated PLA(2) activity (P < 0.001). Bovine explant tissues treated with IL-1β to mimic OA pathophysiology validated these results and displayed elevated PLA(2) levels in OA mimic samples relative to the controls (P < 0.001). It was established that the PLA(2)G(2)A isoform specifically was responsible for PLA(2) enzyme activity changes in OA tissues (P < 0.001). Conclusion: Our results present a reliable method for imaging enzyme dynamics in OA cartilage, which sets up the foundation for future spatial enzyme dynamics in the OA field. We demonstrated that OA patients exhibit increased expression of PLA(2)G(2)A at the superficial and deep cartilage zone that degrades cartilage differently at the spatial level. A tissue-specific PLA(2)G(2)A precision inhibition may be the potential target for OA.
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spelling pubmed-104652212023-08-30 Functional mass spectrometry imaging maps phospholipase-A2 enzyme activity during osteoarthritis progression Fan, Xiwei Young, Reuben S. E. Sun, Antonia Rujia Hamilton, Brett R. Nedunchezhiyan, Udhaya Crawford, Ross Blanksby, Stephen J. Prasadam, Indira Theranostics Research Paper Background: Enzymes are central components of many physiological processes, and changes in enzyme activity are linked to numerous disease states, including osteoarthritis (OA). Assessing changes in enzyme function can be challenging because of difficulties in separating affected tissue areas that result in the homogenisation of healthy and diseased cells. Direct correlation between spatially-resolved enzyme distribution(s) and diseased cells/tissues can thus lead to advances in our understanding of OA pathophysiology. Herein, we present a method that uses mass spectrometry imaging (MSI) to visualise the distribution of lipase enzymes and their downstream lipid products in fresh bone and cartilage tissue sections. Immunohistostaining of adjacent tissue sections was then used to identify OA cells/tissues, which were then statistically correlated with molecular-level images. Methods: MSI was used to image lipase enzymes, their substrates, and their metabolic products to validate enzymatic activity and correlate to OA regions determined by immunohistochemistry (IHC). Based on the modified Mankin score, six non-OA and OA patient-matched osteochondral samples were analysed by matrix-assisted laser desorption/ionisation mass spectrometry imaging (MALDI-MSI). Due to the involvement of phospholipase A2 (PLA(2)) in inflammatory pathways, explant tissues were treated with IL-1β to mimic inflammation observed in OA. Bovine explant tissues were then subject to MSI methods to observe the spatial distribution of PLA(2). Results: Compared with non-OA samples, OA samples showed an elevated level of multiple arachidonic acid (AA)-containing phospholipids (P < 0.001), in which the elevation in the surface and deep layer cartilage of OA tissues is correlated to elevated PLA(2) activity (P < 0.001). Bovine explant tissues treated with IL-1β to mimic OA pathophysiology validated these results and displayed elevated PLA(2) levels in OA mimic samples relative to the controls (P < 0.001). It was established that the PLA(2)G(2)A isoform specifically was responsible for PLA(2) enzyme activity changes in OA tissues (P < 0.001). Conclusion: Our results present a reliable method for imaging enzyme dynamics in OA cartilage, which sets up the foundation for future spatial enzyme dynamics in the OA field. We demonstrated that OA patients exhibit increased expression of PLA(2)G(2)A at the superficial and deep cartilage zone that degrades cartilage differently at the spatial level. A tissue-specific PLA(2)G(2)A precision inhibition may be the potential target for OA. Ivyspring International Publisher 2023-08-21 /pmc/articles/PMC10465221/ /pubmed/37649605 http://dx.doi.org/10.7150/thno.86623 Text en © The author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions.
spellingShingle Research Paper
Fan, Xiwei
Young, Reuben S. E.
Sun, Antonia Rujia
Hamilton, Brett R.
Nedunchezhiyan, Udhaya
Crawford, Ross
Blanksby, Stephen J.
Prasadam, Indira
Functional mass spectrometry imaging maps phospholipase-A2 enzyme activity during osteoarthritis progression
title Functional mass spectrometry imaging maps phospholipase-A2 enzyme activity during osteoarthritis progression
title_full Functional mass spectrometry imaging maps phospholipase-A2 enzyme activity during osteoarthritis progression
title_fullStr Functional mass spectrometry imaging maps phospholipase-A2 enzyme activity during osteoarthritis progression
title_full_unstemmed Functional mass spectrometry imaging maps phospholipase-A2 enzyme activity during osteoarthritis progression
title_short Functional mass spectrometry imaging maps phospholipase-A2 enzyme activity during osteoarthritis progression
title_sort functional mass spectrometry imaging maps phospholipase-a2 enzyme activity during osteoarthritis progression
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10465221/
https://www.ncbi.nlm.nih.gov/pubmed/37649605
http://dx.doi.org/10.7150/thno.86623
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