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Lipidome profile predictive of disease evolution and activity in rheumatoid arthritis
Lipid mediators are crucial for the pathogenesis of rheumatoid arthritis (RA); however, global analyses have not been undertaken to systematically define the lipidome underlying the dynamics of disease evolution, activation, and resolution. Here, we performed untargeted lipidomics analysis of synovi...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8894401/ https://www.ncbi.nlm.nih.gov/pubmed/35169224 http://dx.doi.org/10.1038/s12276-022-00725-z |
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author | Koh, Jung Hee Yoon, Sang Jun Kim, Mina Cho, Seonghun Lim, Johan Park, Youngjae Kim, Hyun-Sook Kwon, Sung Won Kim, Wan-Uk |
author_facet | Koh, Jung Hee Yoon, Sang Jun Kim, Mina Cho, Seonghun Lim, Johan Park, Youngjae Kim, Hyun-Sook Kwon, Sung Won Kim, Wan-Uk |
author_sort | Koh, Jung Hee |
collection | PubMed |
description | Lipid mediators are crucial for the pathogenesis of rheumatoid arthritis (RA); however, global analyses have not been undertaken to systematically define the lipidome underlying the dynamics of disease evolution, activation, and resolution. Here, we performed untargeted lipidomics analysis of synovial fluid and serum from RA patients at different disease activities and clinical phases (preclinical phase to active phase to sustained remission). We found that the lipidome profile in RA joint fluid was severely perturbed and that this correlated with the extent of inflammation and severity of synovitis on ultrasonography. The serum lipidome profile of active RA, albeit less prominent than the synovial lipidome, was also distinguishable from that of RA in the sustained remission phase and from that of noninflammatory osteoarthritis. Of note, the serum lipidome profile at the preclinical phase of RA closely mimicked that of active RA. Specifically, alterations in a set of lysophosphatidylcholine, phosphatidylcholine, ether-linked phosphatidylethanolamine, and sphingomyelin subclasses correlated with RA activity, reflecting treatment responses to anti-rheumatic drugs when monitored serially. Collectively, these results suggest that analysis of lipidome profiles is useful for identifying biomarker candidates that predict the evolution of preclinical to definitive RA and could facilitate the assessment of disease activity and treatment outcomes. |
format | Online Article Text |
id | pubmed-8894401 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-88944012022-03-22 Lipidome profile predictive of disease evolution and activity in rheumatoid arthritis Koh, Jung Hee Yoon, Sang Jun Kim, Mina Cho, Seonghun Lim, Johan Park, Youngjae Kim, Hyun-Sook Kwon, Sung Won Kim, Wan-Uk Exp Mol Med Article Lipid mediators are crucial for the pathogenesis of rheumatoid arthritis (RA); however, global analyses have not been undertaken to systematically define the lipidome underlying the dynamics of disease evolution, activation, and resolution. Here, we performed untargeted lipidomics analysis of synovial fluid and serum from RA patients at different disease activities and clinical phases (preclinical phase to active phase to sustained remission). We found that the lipidome profile in RA joint fluid was severely perturbed and that this correlated with the extent of inflammation and severity of synovitis on ultrasonography. The serum lipidome profile of active RA, albeit less prominent than the synovial lipidome, was also distinguishable from that of RA in the sustained remission phase and from that of noninflammatory osteoarthritis. Of note, the serum lipidome profile at the preclinical phase of RA closely mimicked that of active RA. Specifically, alterations in a set of lysophosphatidylcholine, phosphatidylcholine, ether-linked phosphatidylethanolamine, and sphingomyelin subclasses correlated with RA activity, reflecting treatment responses to anti-rheumatic drugs when monitored serially. Collectively, these results suggest that analysis of lipidome profiles is useful for identifying biomarker candidates that predict the evolution of preclinical to definitive RA and could facilitate the assessment of disease activity and treatment outcomes. Nature Publishing Group UK 2022-02-15 /pmc/articles/PMC8894401/ /pubmed/35169224 http://dx.doi.org/10.1038/s12276-022-00725-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Koh, Jung Hee Yoon, Sang Jun Kim, Mina Cho, Seonghun Lim, Johan Park, Youngjae Kim, Hyun-Sook Kwon, Sung Won Kim, Wan-Uk Lipidome profile predictive of disease evolution and activity in rheumatoid arthritis |
title | Lipidome profile predictive of disease evolution and activity in rheumatoid arthritis |
title_full | Lipidome profile predictive of disease evolution and activity in rheumatoid arthritis |
title_fullStr | Lipidome profile predictive of disease evolution and activity in rheumatoid arthritis |
title_full_unstemmed | Lipidome profile predictive of disease evolution and activity in rheumatoid arthritis |
title_short | Lipidome profile predictive of disease evolution and activity in rheumatoid arthritis |
title_sort | lipidome profile predictive of disease evolution and activity in rheumatoid arthritis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8894401/ https://www.ncbi.nlm.nih.gov/pubmed/35169224 http://dx.doi.org/10.1038/s12276-022-00725-z |
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