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Proteomic Profiling for Serum Biomarkers in Mice Exposed to Ionizing Radiation
In response to large-scale radiological incidents, rapid, accurate, and early triage biodosimeters are urgently required. In this study, we investigated candidate radiation-responsive biomarkers using proteomics approaches in mouse models. A total of 452 dysregulated proteins were identified in the...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6909274/ https://www.ncbi.nlm.nih.gov/pubmed/31853238 http://dx.doi.org/10.1177/1559325819894794 |
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author | Huang, Jinfeng Wang, Qi Hu, Yingchun Qi, Zhenhua Lin, Zhongwu Ying, Wantao Zhou, Meijuan |
author_facet | Huang, Jinfeng Wang, Qi Hu, Yingchun Qi, Zhenhua Lin, Zhongwu Ying, Wantao Zhou, Meijuan |
author_sort | Huang, Jinfeng |
collection | PubMed |
description | In response to large-scale radiological incidents, rapid, accurate, and early triage biodosimeters are urgently required. In this study, we investigated candidate radiation-responsive biomarkers using proteomics approaches in mouse models. A total of 452 dysregulated proteins were identified in the serum samples of mice exposed to 0, 2, 5.5, 7, and 8 Gy at 6, 24, and 72 hours postirradiation. Ninety-eight proteins, including 46 at 6 hours, 36 at 24 hours, and 36 at 72 hours, were identified as radiation-responsive proteins (RRPs). Gene Ontology analysis showed the RRPs were involved in proteolysis, extracellular space, hydrolase activity, and carbohydrate binding. Kyoto Encyclopedia of Genes and Genome enrichment showed the RRPs were regulated in “the pentose phosphate pathway,” “the proteasome,” and “AGE-RAGE signaling in diabetic complications.” There were 3 proteins changed and overlapped at all the 3 time points, 8 proteins changed at 6 and 24 hours, 4 proteins changed at 24 and 72hours, and 2 proteins changed at both 6 and 72 hours. Of these proteins, ORM2, HP, SAA1, SAA2, MBL2, COL1A1, and APCS were identified as candidate biomarkers for biodosimeter-based diagnosis through Pearson correlation analysis. |
format | Online Article Text |
id | pubmed-6909274 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-69092742019-12-18 Proteomic Profiling for Serum Biomarkers in Mice Exposed to Ionizing Radiation Huang, Jinfeng Wang, Qi Hu, Yingchun Qi, Zhenhua Lin, Zhongwu Ying, Wantao Zhou, Meijuan Dose Response Potential Biomarkers of Radiation Damage In response to large-scale radiological incidents, rapid, accurate, and early triage biodosimeters are urgently required. In this study, we investigated candidate radiation-responsive biomarkers using proteomics approaches in mouse models. A total of 452 dysregulated proteins were identified in the serum samples of mice exposed to 0, 2, 5.5, 7, and 8 Gy at 6, 24, and 72 hours postirradiation. Ninety-eight proteins, including 46 at 6 hours, 36 at 24 hours, and 36 at 72 hours, were identified as radiation-responsive proteins (RRPs). Gene Ontology analysis showed the RRPs were involved in proteolysis, extracellular space, hydrolase activity, and carbohydrate binding. Kyoto Encyclopedia of Genes and Genome enrichment showed the RRPs were regulated in “the pentose phosphate pathway,” “the proteasome,” and “AGE-RAGE signaling in diabetic complications.” There were 3 proteins changed and overlapped at all the 3 time points, 8 proteins changed at 6 and 24 hours, 4 proteins changed at 24 and 72hours, and 2 proteins changed at both 6 and 72 hours. Of these proteins, ORM2, HP, SAA1, SAA2, MBL2, COL1A1, and APCS were identified as candidate biomarkers for biodosimeter-based diagnosis through Pearson correlation analysis. SAGE Publications 2019-12-12 /pmc/articles/PMC6909274/ /pubmed/31853238 http://dx.doi.org/10.1177/1559325819894794 Text en © The Author(s) 2019 http://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Potential Biomarkers of Radiation Damage Huang, Jinfeng Wang, Qi Hu, Yingchun Qi, Zhenhua Lin, Zhongwu Ying, Wantao Zhou, Meijuan Proteomic Profiling for Serum Biomarkers in Mice Exposed to Ionizing Radiation |
title | Proteomic Profiling for Serum Biomarkers in Mice Exposed to Ionizing Radiation |
title_full | Proteomic Profiling for Serum Biomarkers in Mice Exposed to Ionizing Radiation |
title_fullStr | Proteomic Profiling for Serum Biomarkers in Mice Exposed to Ionizing Radiation |
title_full_unstemmed | Proteomic Profiling for Serum Biomarkers in Mice Exposed to Ionizing Radiation |
title_short | Proteomic Profiling for Serum Biomarkers in Mice Exposed to Ionizing Radiation |
title_sort | proteomic profiling for serum biomarkers in mice exposed to ionizing radiation |
topic | Potential Biomarkers of Radiation Damage |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6909274/ https://www.ncbi.nlm.nih.gov/pubmed/31853238 http://dx.doi.org/10.1177/1559325819894794 |
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