Beata Mickiewicz, K. Huebner, Johnny K. Chau, N. Shrive, C. Frank, H. Vogel, D. Hart
{"title":"兔膝关节孤立性关节内骨损伤诱导前后血浆代谢谱:骨关节炎发病特征的潜力?","authors":"Beata Mickiewicz, K. Huebner, Johnny K. Chau, N. Shrive, C. Frank, H. Vogel, D. Hart","doi":"10.3233/BSI-150122","DOIUrl":null,"url":null,"abstract":"Background: Surgical models of bone injury-induced joint damage provide relevant insights into the biological pathways involved in the response to injury and development of subsequent degenerative joint conditions. Objective: To determine metabolic changes acutely following a bone injury to the rabbit knee in order to reveal key metabolites potentially associated with the chronic phase post-injury leading to post-traumatic osteoarthritis. Methods: Nine skeletally mature rabbits underwent surgery to create a repeatable, isolated intra-articular bone injury with intraarticular bleeding, without destabilizing the knee. Plasma samples were collected pre-operatively (baseline) and at 3 weeks post-injury. The samples were analyzed using nuclear magnetic resonance spectroscopy-based metabolic profiling approach and multivariate statistical analysis. Results: Metabolic profiling found clear separation between pre-surgical and post-injury rabbits. The predictive ability of the statistical model reached 75%. The levels of twelve metabolites (adenine, choline, glutamine, glycine, pyroglutamate, ornithine, 1-methylhistidine, creatinine, acetate, glucose, taurine and glutamate) significantly changed in plasma samples collected from the rabbits 3 weeks post-injury compared to their baseline levels. Conclusions: Our study indicates that metabolomics may have important applications in the detection of early systemic changes following a localized joint injury, possibly enabling early intervention and preventing progression to more serious joint degeneration.","PeriodicalId":44239,"journal":{"name":"Biomedical Spectroscopy and Imaging","volume":"4 1","pages":"359-371"},"PeriodicalIF":0.3000,"publicationDate":"2015-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.3233/BSI-150122","citationCount":"0","resultStr":"{\"title\":\"Metabolic profile of plasma before and after induction of an isolated intra-articular bone injury in the rabbit knee: Potential to characterize the onset of osteoarthritis?\",\"authors\":\"Beata Mickiewicz, K. Huebner, Johnny K. Chau, N. Shrive, C. Frank, H. Vogel, D. Hart\",\"doi\":\"10.3233/BSI-150122\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background: Surgical models of bone injury-induced joint damage provide relevant insights into the biological pathways involved in the response to injury and development of subsequent degenerative joint conditions. Objective: To determine metabolic changes acutely following a bone injury to the rabbit knee in order to reveal key metabolites potentially associated with the chronic phase post-injury leading to post-traumatic osteoarthritis. Methods: Nine skeletally mature rabbits underwent surgery to create a repeatable, isolated intra-articular bone injury with intraarticular bleeding, without destabilizing the knee. Plasma samples were collected pre-operatively (baseline) and at 3 weeks post-injury. The samples were analyzed using nuclear magnetic resonance spectroscopy-based metabolic profiling approach and multivariate statistical analysis. Results: Metabolic profiling found clear separation between pre-surgical and post-injury rabbits. The predictive ability of the statistical model reached 75%. The levels of twelve metabolites (adenine, choline, glutamine, glycine, pyroglutamate, ornithine, 1-methylhistidine, creatinine, acetate, glucose, taurine and glutamate) significantly changed in plasma samples collected from the rabbits 3 weeks post-injury compared to their baseline levels. Conclusions: Our study indicates that metabolomics may have important applications in the detection of early systemic changes following a localized joint injury, possibly enabling early intervention and preventing progression to more serious joint degeneration.\",\"PeriodicalId\":44239,\"journal\":{\"name\":\"Biomedical Spectroscopy and Imaging\",\"volume\":\"4 1\",\"pages\":\"359-371\"},\"PeriodicalIF\":0.3000,\"publicationDate\":\"2015-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.3233/BSI-150122\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biomedical Spectroscopy and Imaging\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3233/BSI-150122\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"SPECTROSCOPY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biomedical Spectroscopy and Imaging","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3233/BSI-150122","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"SPECTROSCOPY","Score":null,"Total":0}
Metabolic profile of plasma before and after induction of an isolated intra-articular bone injury in the rabbit knee: Potential to characterize the onset of osteoarthritis?
Background: Surgical models of bone injury-induced joint damage provide relevant insights into the biological pathways involved in the response to injury and development of subsequent degenerative joint conditions. Objective: To determine metabolic changes acutely following a bone injury to the rabbit knee in order to reveal key metabolites potentially associated with the chronic phase post-injury leading to post-traumatic osteoarthritis. Methods: Nine skeletally mature rabbits underwent surgery to create a repeatable, isolated intra-articular bone injury with intraarticular bleeding, without destabilizing the knee. Plasma samples were collected pre-operatively (baseline) and at 3 weeks post-injury. The samples were analyzed using nuclear magnetic resonance spectroscopy-based metabolic profiling approach and multivariate statistical analysis. Results: Metabolic profiling found clear separation between pre-surgical and post-injury rabbits. The predictive ability of the statistical model reached 75%. The levels of twelve metabolites (adenine, choline, glutamine, glycine, pyroglutamate, ornithine, 1-methylhistidine, creatinine, acetate, glucose, taurine and glutamate) significantly changed in plasma samples collected from the rabbits 3 weeks post-injury compared to their baseline levels. Conclusions: Our study indicates that metabolomics may have important applications in the detection of early systemic changes following a localized joint injury, possibly enabling early intervention and preventing progression to more serious joint degeneration.
期刊介绍:
Biomedical Spectroscopy and Imaging (BSI) is a multidisciplinary journal devoted to the timely publication of basic and applied research that uses spectroscopic and imaging techniques in different areas of life science including biology, biochemistry, biotechnology, bionanotechnology, environmental science, food science, pharmaceutical science, physiology and medicine. Scientists are encouraged to submit their work for publication in the form of original articles, brief communications, rapid communications, reviews and mini-reviews. Techniques covered include, but are not limited, to the following: • Vibrational Spectroscopy (Infrared, Raman, Teraherz) • Circular Dichroism Spectroscopy • Magnetic Resonance Spectroscopy (NMR, ESR) • UV-vis Spectroscopy • Mössbauer Spectroscopy • X-ray Spectroscopy (Absorption, Emission, Photoelectron, Fluorescence) • Neutron Spectroscopy • Mass Spectroscopy • Fluorescence Spectroscopy • X-ray and Neutron Scattering • Differential Scanning Calorimetry • Atomic Force Microscopy • Surface Plasmon Resonance • Magnetic Resonance Imaging • X-ray Imaging • Electron Imaging • Neutron Imaging • Raman Imaging • Infrared Imaging • Terahertz Imaging • Fluorescence Imaging • Near-infrared spectroscopy.