Protein biomarkers for radiation injury and testing of medical countermeasure efficacy: promises, pitfalls, and future directions

Vijay K. Singh*, Meera Srivastava, Thomas M. Seed

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

12 Scopus citations

Abstract

Introduction: Radiological/nuclear accidents, hostile military activity, or terrorist strikes have the potential to expose a large number of civilians and military personnel to high doses of radiation resulting in the development of acute radiation syndrome and delayed effects of exposure. Thus, there is an urgent need for sensitive and specific assays to assess the levels of radiation exposure to individuals. Such radiation exposures are expected to alter primary cellular proteomic processes, resulting in multifaceted biological responses. Areas covered: This article covers the application of proteomics, a promising and fast developing technology based on quantitative and qualitative measurements of protein molecules for possible rapid measurement of radiation exposure levels. Recent advancements in high-resolution chromatography, mass spectrometry, high-throughput, and bioinformatics have resulted in comprehensive (relative quantitation) and precise (absolute quantitation) approaches for the discovery and accuracy of key protein biomarkers of radiation exposure. Such proteome biomarkers might prove useful for assessing radiation exposure levels as well as for extrapolating the pharmaceutical dose of countermeasures for humans based on efficacy data generated using animal models. Expert opinion: The field of proteomics promises to be a valuable asset in evaluating levels of radiation exposure and characterizing radiation injury biomarkers.

Original languageEnglish
Pages (from-to)221-246
Number of pages26
JournalExpert Review of Proteomics
Volume20
Issue number10
DOIs
StatePublished - 2023

Keywords

  • countermeasures
  • cytokines
  • gamma-radiation
  • mixed-field radiation
  • omic platforms
  • Proteomics
  • radiation injury

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