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Potential osteomyelitis biomarkers identified by plasma metabolome analysis in mice
Osteomyelitis, which often arises from a surgical-site infection, is a serious problem in orthopaedic surgery. However, there are no specific biomarkers for osteomyelitis. Here, to identify specific plasma biomarkers for osteomyelitis, we conducted metabolome analyses using a mouse osteomyelitis mod...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6972943/ https://www.ncbi.nlm.nih.gov/pubmed/31964942 http://dx.doi.org/10.1038/s41598-020-57619-1 |
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author | Isogai, Norihiro Shiono, Yuta Kuramoto, Tetsuya Yoshioka, Kenji Ishihama, Hiroko Funao, Haruki Nakamura, Masaya Matsumoto, Morio Ishii, Ken |
author_facet | Isogai, Norihiro Shiono, Yuta Kuramoto, Tetsuya Yoshioka, Kenji Ishihama, Hiroko Funao, Haruki Nakamura, Masaya Matsumoto, Morio Ishii, Ken |
author_sort | Isogai, Norihiro |
collection | PubMed |
description | Osteomyelitis, which often arises from a surgical-site infection, is a serious problem in orthopaedic surgery. However, there are no specific biomarkers for osteomyelitis. Here, to identify specific plasma biomarkers for osteomyelitis, we conducted metabolome analyses using a mouse osteomyelitis model and bioluminescence imaging. We divided adult male pathogen-free BALB/C mice into control, sham-control, and infected groups. In the infected group, a bioluminescent Staphylococcus aureus strain was inoculated into the femur, and osteomyelitis was detected by bioluminescence imaging. We next analysed the metabolome, by comprehensively measuring all of the small molecules. This analysis identified 279 metabolites, 12 of which were significantly higher and 45 were significantly lower in the infected group than in the sham-control and control groups. Principal component analysis identified sphingosine as the highest loading factor. Several acyl carnitines and fatty acids, particularly ω-3 and ω-6 polyunsaturated fatty acids, were significantly lower in the infected group. Several metabolites in the tricarboxylic acid cycle were lower in the infected group than in the other groups. Thus, we identified two sphingolipids, sphinganine and sphingosine, as positive biomarkers for mouse osteomyelitis, and two components in the tricarboxylic acid cycle, two-oxoglutarate and succinic acid, as negative biomarkers. |
format | Online Article Text |
id | pubmed-6972943 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-69729432020-01-27 Potential osteomyelitis biomarkers identified by plasma metabolome analysis in mice Isogai, Norihiro Shiono, Yuta Kuramoto, Tetsuya Yoshioka, Kenji Ishihama, Hiroko Funao, Haruki Nakamura, Masaya Matsumoto, Morio Ishii, Ken Sci Rep Article Osteomyelitis, which often arises from a surgical-site infection, is a serious problem in orthopaedic surgery. However, there are no specific biomarkers for osteomyelitis. Here, to identify specific plasma biomarkers for osteomyelitis, we conducted metabolome analyses using a mouse osteomyelitis model and bioluminescence imaging. We divided adult male pathogen-free BALB/C mice into control, sham-control, and infected groups. In the infected group, a bioluminescent Staphylococcus aureus strain was inoculated into the femur, and osteomyelitis was detected by bioluminescence imaging. We next analysed the metabolome, by comprehensively measuring all of the small molecules. This analysis identified 279 metabolites, 12 of which were significantly higher and 45 were significantly lower in the infected group than in the sham-control and control groups. Principal component analysis identified sphingosine as the highest loading factor. Several acyl carnitines and fatty acids, particularly ω-3 and ω-6 polyunsaturated fatty acids, were significantly lower in the infected group. Several metabolites in the tricarboxylic acid cycle were lower in the infected group than in the other groups. Thus, we identified two sphingolipids, sphinganine and sphingosine, as positive biomarkers for mouse osteomyelitis, and two components in the tricarboxylic acid cycle, two-oxoglutarate and succinic acid, as negative biomarkers. Nature Publishing Group UK 2020-01-21 /pmc/articles/PMC6972943/ /pubmed/31964942 http://dx.doi.org/10.1038/s41598-020-57619-1 Text en © The Author(s) 2020 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/. |
spellingShingle | Article Isogai, Norihiro Shiono, Yuta Kuramoto, Tetsuya Yoshioka, Kenji Ishihama, Hiroko Funao, Haruki Nakamura, Masaya Matsumoto, Morio Ishii, Ken Potential osteomyelitis biomarkers identified by plasma metabolome analysis in mice |
title | Potential osteomyelitis biomarkers identified by plasma metabolome analysis in mice |
title_full | Potential osteomyelitis biomarkers identified by plasma metabolome analysis in mice |
title_fullStr | Potential osteomyelitis biomarkers identified by plasma metabolome analysis in mice |
title_full_unstemmed | Potential osteomyelitis biomarkers identified by plasma metabolome analysis in mice |
title_short | Potential osteomyelitis biomarkers identified by plasma metabolome analysis in mice |
title_sort | potential osteomyelitis biomarkers identified by plasma metabolome analysis in mice |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6972943/ https://www.ncbi.nlm.nih.gov/pubmed/31964942 http://dx.doi.org/10.1038/s41598-020-57619-1 |
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