Literature DB >> 26114330

Serum Amyloid A as a Biomarker for Radiation Exposure.

Mary Sproull1, Tamalee Kramp1, Anita Tandle1, Uma Shankavaram1, Kevin Camphausen1.   

Abstract

There is a need for minimally invasive biomarkers that can accurately and quickly quantify radiation exposure. Radiation-responsive proteins have applications in clinical medicine and for mass population screenings after a nuclear or radiological incident where the level of radiation exposure and exposure pattern complicate medical triage for first responders. In this study, we evaluated the efficacy of the acute phase protein serum amyloid A (SAA) as a biomarker for radiation exposure using plasma from irradiated mice. Ten-week-old female C57BL6 mice received a 1-8 Gy single whole-body or partial-body dose from a Pantak X-ray source at a dose rate of 2.28 Gy/min. Plasma was collected by mandibular or cardiac puncture at 6, 24, 48 and 72 h or 1-3 weeks postirradiation. SAA levels were determined using a commercially available ELISA assay. Data was pooled to generate SAA μg/ml threshold values correlating plasma SAA levels with radiation dose. SAA levels were statistically significant over control at all exposures between 2 and 8 Gy at 24 h postirradiation but not at 6, 48 and 72 h or 1-3 weeks postirradiation. SAA levels at 1 Gy were not significantly elevated over control at all time points. Total-body-irradiated (TBI) SAA levels at 24 h were used to generate a dose prediction model that successfully differentiated TBI mice into dose received cohorts of control/1 Gy and ≥ 2 Gy groups with a high degree of accuracy in a blind study. Dose prediction of partial-body exposures based on the TBI model correlated increasing predictive accuracy with percentage of body exposure to radiation. Our findings indicate that plasma SAA levels might be a useful biomarker for radiation exposure in a variety of total- and partial-body irradiation settings.

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Year:  2015        PMID: 26114330      PMCID: PMC4710171          DOI: 10.1667/RR13927.1

Source DB:  PubMed          Journal:  Radiat Res        ISSN: 0033-7587            Impact factor:   2.841


  40 in total

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3.  European consensus on the medical management of acute radiation syndrome and analysis of the radiation accidents in Belgium and Senegal.

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Journal:  Biomarkers       Date:  2011-08-19       Impact factor: 2.658

6.  Early-response biomarkers for assessment of radiation exposure in a mouse total-body irradiation model.

Authors:  Natalia I Ossetrova; Donald P Condliffe; Patrick H Ney; Katya Krasnopolsky; Kevin P Hieber; Arifur Rahman; David J Sandgren
Journal:  Health Phys       Date:  2014-06       Impact factor: 1.316

Review 7.  Regulation of serum amyloid A protein expression during the acute-phase response.

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10.  Antibody-based screen for ionizing radiation-dependent changes in the Mammalian proteome for use in biodosimetry.

Authors:  Richard G Ivey; Oby Subramanian; Travis D Lorentzen; Amanda G Paulovich
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Authors:  Carmen I Rios; David R Cassatt; Brynn A Hollingsworth; Merriline M Satyamitra; Yeabsera S Tadesse; Lanyn P Taliaferro; Thomas A Winters; Andrea L DiCarlo
Journal:  Radiat Res       Date:  2021-01-01       Impact factor: 2.841

2.  Radiation-Induced Long Noncoding RNAs in a Mouse Model after Whole-Body Irradiation.

Authors:  Molykutty J Aryankalayil; Sunita Chopra; Joel Levin; Iris Eke; Adeola Makinde; Shaoli Das; Uma Shankavaram; Claire Vanpouille-Box; Sandra Demaria; C Norman Coleman
Journal:  Radiat Res       Date:  2018-01-08       Impact factor: 2.841

3.  Multivariate Analysis of Radiation Responsive Proteins to Predict Radiation Exposure in Total-Body Irradiation and Partial-Body Irradiation Models.

Authors:  Mary Sproull; Tamalee Kramp; Anita Tandle; Uma Shankavaram; Kevin Camphausen
Journal:  Radiat Res       Date:  2017-01-24       Impact factor: 2.841

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Review 5.  State-of-the-Art Advances in Radiation Biodosimetry for Mass Casualty Events Involving Radiation Exposure.

Authors:  Mary Sproull; Kevin Camphausen
Journal:  Radiat Res       Date:  2016-10-06       Impact factor: 2.841

6.  Comparison of Proteomic Expression Profiles after Radiation Exposure across Four Different Species.

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Journal:  Radiat Res       Date:  2022-04-01       Impact factor: 3.372

7.  Gene Expression Profiles from Heart, Lung and Liver Samples of Total-Body-Irradiated Minipigs: Implications for Predicting Radiation-Induced Tissue Toxicity.

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Journal:  Radiat Res       Date:  2020-10-02       Impact factor: 2.841

Review 8.  Radiation Metabolomics: Current Status and Future Directions.

Authors:  Smrithi S Menon; Medha Uppal; Subeena Randhawa; Mehar S Cheema; Nima Aghdam; Rachel L Usala; Sanchita P Ghosh; Amrita K Cheema; Anatoly Dritschilo
Journal:  Front Oncol       Date:  2016-02-02       Impact factor: 6.244

9.  Exosomal Small RNA Sequencing Uncovers Dose-Specific MiRNA Markers for Ionizing Radiation Exposure.

Authors:  Ying Zhang; Jiabin Liu; Liang Zhou; Shuai Hao; Zhenhua Ding; Lin Xiao; Meijuan Zhou
Journal:  Dose Response       Date:  2020-05-29       Impact factor: 2.658

10.  Serum amyloid A1 as a biomarker for radiation dose estimation and lethality prediction in irradiated mouse.

Authors:  Jinfeng Huang; Zhenhua Qi; Min Chen; Ting Xiao; Jian Guan; Meijuan Zhou; Qi Wang; Zhongwu Lin; Zhidong Wang
Journal:  Ann Transl Med       Date:  2019-12
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