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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...

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Autores principales: Isogai, Norihiro, Shiono, Yuta, Kuramoto, Tetsuya, Yoshioka, Kenji, Ishihama, Hiroko, Funao, Haruki, Nakamura, Masaya, Matsumoto, Morio, Ishii, Ken
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
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.
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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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