Proteomic Profiling for Serum Biomarkers in Mice Exposed to Ionizing Radiation

Author:

Huang Jinfeng12,Wang Qi2,Hu Yingchun2,Qi Zhenhua2,Lin Zhongwu3,Ying Wantao4,Zhou Meijuan1ORCID

Affiliation:

1. Department of Radiation Medicine, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, People’s Republic of China

2. Department of Radiobiology, Beijing Key Laboratory for Radiobiology, Beijing Institute of Radiation Medicine, Beijing, People’s Republic of China

3. Science Research Management Department of the Academy of Military Sciences, Beijing, People’s Republic of China

4. State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, People’s Republic of China

Abstract

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.

Funder

the Major Project

Publisher

SAGE Publications

Subject

Chemical Health and Safety,Health, Toxicology and Mutagenesis,Public Health, Environmental and Occupational Health,Toxicology

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