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All radioactive nuclides emit high-energy particles or electromagnetic waves. When this radiation encounters living cells, it can cause heating, break chemical bonds, or ionize molecules. The most serious biological damage results when these radioactive emissions fragment or ionize molecules. For example, α and β particles emitted from nuclear decay reactions possess much higher energies than ordinary chemical bond energies. When these particles strike and penetrate matter, they...
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Quantifying Cognitive Decrements Caused by Cranial Radiotherapy
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Modeling space radiation induced cognitive dysfunction using targeted and non-targeted effects.

Igor Shuryak1, David J Brenner2, Steven R Blattnig3

  • 1Center for Radiological Research, Columbia University Irving Medical Center, 630 West 168th street, VC-11-234/5, New York, NY, 10032, USA. is144@cumc.columbia.edu.

Scientific Reports
|April 24, 2021
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Summary
This summary is machine-generated.

Mathematical models reveal that non-targeted effects (NTE) of radiation are crucial for understanding cognitive dysfunction. These effects, alongside targeted effects (TE), are vital for astronaut health and space mission safety.

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Area of Science:

  • Space science and radiation biology
  • Neuroscience and toxicology
  • Mathematical modeling and biophysics

Background:

  • Radiation exposure poses significant risks to cognitive function, particularly for astronauts on deep space missions.
  • Understanding the mechanisms of radiation-induced cognitive dysfunction is critical for mitigating health risks.
  • Mathematical modeling provides a framework for quantifying radiation damage and informing risk assessments.

Purpose of the Study:

  • To compare the performance of 18 dose-response model variants for radiation-induced cognitive dysfunction.
  • To investigate the roles of targeted effects (TE) and non-targeted effects (NTE) in radiation damage.
  • To identify the most accurate model for predicting cognitive impairment based on radiation exposure parameters.

Main Methods:

  • Utilized robust nonlinear regression to fit 18 mechanistic models to a comprehensive dataset.
  • Analyzed rat novel object recognition test data following exposure to various space-relevant ions (H, C, O, Si, Ti, Fe).
  • Evaluated models across a wide range of linear energy transfer (LET) and radiation doses, employing quantile regression and random forests for additional analysis.

Main Results:

  • The best-fitting model incorporated both NTE and TE, with NTE saturating at low doses (~0.01 Gy) and occurring across all tested LETs.
  • Targeted effects (TE) demonstrated a linear dose-response relationship, with damage increasing proportionally to LET.
  • Non-targeted effects (NTE) were confirmed as significant contributors to radiation-induced brain damage through multiple analytical approaches.

Conclusions:

  • Non-targeted effects (NTE) play a critical role in radiation-induced cognitive dysfunction, even at low doses.
  • The combined NTE + TE model provides a more accurate representation of radiation damage mechanisms.
  • Findings underscore the importance of considering NTE in radiation protection strategies for astronauts and future space exploration.