Evagelia C Laiakis1, Denise Nishita2, Kim Bujold3, Meth M Jayatilake4, James Bakke2, Janet Gahagen2, Simon Authier3, Polly Chang2, Albert J Fornace5. 1. Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC; Department of Biochemistry and Molecular & Cellular Biology, Georgetown University, Washington, DC. Electronic address: ecl28@georgetown.edu. 2. SRI International, BioSciences Division, Menlo Park, California. 3. CiToxlab, Montreal, Canada. 4. Department of Biochemistry and Molecular & Cellular Biology, Georgetown University, Washington, DC. 5. Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC; Department of Biochemistry and Molecular & Cellular Biology, Georgetown University, Washington, DC.
Abstract
PURPOSE: To identify metabolomic biomarkers of acute radiation exposure in saliva that show time-dependent changes. METHODS AND MATERIALS: Nonhuman primates were exposed to 4 Gy of total body irradiation with γ-rays. Saliva was collected from 7 animals twice before and at days 1, 3, 5, 7, 15, 21, 28, and 60 after irradiation. Profiling was conducted with liquid chromatography time-of-flight mass spectrometry. Multivariate data analysis and potential biomarker identification was conducted through random Forests and the software MetaboAnalyst. Candidate biomarkers were validated through tandem mass spectrometry, and receiver operating characteristic curves were constructed to show the diagnostic ability of the signature over time. RESULTS: Untargeted metabolomic analysis revealed significant and persistent effects up to the 60 days evaluated in this study. Biomarkers spanning primarily amino acids and nucleotides were identified, with a significant number showing long-term responses. Fifteen biomarkers showed high statistical significance in the first week after irradiation and 16 at >7 days after irradiation (false discovery rate-adjusted P < .05). The combination of the biomarkers in a single biosignature was able to accurately show the diagnostic ability of the signature in a binary classifier system with receiver operating characteristic curves. CONCLUSIONS: Radiation can alter the metabolome in saliva, and metabolomics could effectively be used to monitor radiation responses, as a biodosimetry method, in the event of a radiological incident. Saliva metabolomics also has potential relevance in a clinical setting.
PURPOSE: To identify metabolomic biomarkers of acute radiation exposure in saliva that show time-dependent changes. METHODS AND MATERIALS: Nonhuman primates were exposed to 4 Gy of total body irradiation with γ-rays. Saliva was collected from 7 animals twice before and at days 1, 3, 5, 7, 15, 21, 28, and 60 after irradiation. Profiling was conducted with liquid chromatography time-of-flight mass spectrometry. Multivariate data analysis and potential biomarker identification was conducted through random Forests and the software MetaboAnalyst. Candidate biomarkers were validated through tandem mass spectrometry, and receiver operating characteristic curves were constructed to show the diagnostic ability of the signature over time. RESULTS: Untargeted metabolomic analysis revealed significant and persistent effects up to the 60 days evaluated in this study. Biomarkers spanning primarily amino acids and nucleotides were identified, with a significant number showing long-term responses. Fifteen biomarkers showed high statistical significance in the first week after irradiation and 16 at >7 days after irradiation (false discovery rate-adjusted P < .05). The combination of the biomarkers in a single biosignature was able to accurately show the diagnostic ability of the signature in a binary classifier system with receiver operating characteristic curves. CONCLUSIONS: Radiation can alter the metabolome in saliva, and metabolomics could effectively be used to monitor radiation responses, as a biodosimetry method, in the event of a radiological incident. Saliva metabolomics also has potential relevance in a clinical setting.
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