ArticleScientific reports2020
Potential osteomyelitis biomarkers identified by plasma metabolome analysis in mice.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed, 19 citations in OpenAlex.
- Trans-Omic Analysis Identifies the 'PRMT1-STAT3-Integrin αVβ6 Axis' as a Novel Therapeutic Target in Tacrolimus-Induced Chronic Nephrotoxicity.International journal of molecular sciences · 2025Article
- Raman Monitoring ofInternational journal of molecular sciences · 2025Article
- DHA-Triacylglycerol Accumulation in Tacrolimus-Induced Nephrotoxicity Identified by Lipidomic Profiling.International journal of molecular sciences · 2025Article
- Whole Blood Metabolomic Profiling of Mice with Tacrolimus-Induced Chronic Nephrotoxicity: NADAntioxidants (Basel, Switzerland) · 2025Article
- The role of FTO in m6A RNA methylation and immune regulation inFrontiers in microbiology · 2025Article
- Mitochondrial metabolic regulation of macrophage polarization in osteomyelitis and other orthopedic disorders: mechanisms and therapeutic opportunities.Frontiers in cell and developmental biology · 2025Review
- Metabolism disorder promotes isoproterenol-induced myocardial injury in mice with high temperature and high humidity and high-fat diet.BMC cardiovascular disorders · 2022Article
- Role of Animal Models to Advance Research of Bacterial Osteomyelitis.Frontiers in veterinary science · 2022Review
- Review
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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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