Neurological Biomarker Profiles in Royal Canadian Air Force (RCAF) Pilots and Aircrew
2024

Neurological Biomarker Profiles in Canadian Air Force Pilots

Sample size: 96 publication 10 minutes Evidence: high

Author Information

Author(s): Rhind Shawn G., Shiu Maria Y., Vartanian Oshin, Allen Shamus, Palmer Miriam, Ramirez Joel, Gao Fuqiang, Scott Christopher J. M., Homes Meissa F., Gray Gary, Black Sandra E., Saary Joan

Primary Institution: Defence Research and Development–Toronto Research Centre

Hypothesis

This study aimed to investigate the levels of neurological biomarkers in military aviators to assess the potential risk of long-term brain injury and neurodegeneration.

Conclusion

Military aviators are at increased risk for neurobiological injury, including glial and axonal damage, oxidative stress, and early neurodegeneration.

Supporting Evidence

  • The aviators exhibited significantly elevated levels of GFAP, NF-L, PRDX-6, and T-tau compared to the controls.
  • Trends toward higher levels of S100b, NSE, and UCH-L1 were observed but were not statistically significant.
  • The elevated biomarker levels suggest cumulative brain damage, raising concerns about potential long-term neurological impairments.

Takeaway

This study found that pilots have higher levels of certain brain injury markers, which means they might be at risk for brain problems from flying.

Methodology

This cross-sectional study involved 48 Canadian Armed Forces aviators and 48 non-aviator controls, analyzing plasma samples for various neurological biomarkers.

Potential Biases

Potential confounding factors include prior concussions and other physical stressors that may influence biomarker levels.

Limitations

The cross-sectional design limits causal inference, and the lack of direct correlations between biomarker levels and cognitive performance data restricts understanding of functional impairments.

Participant Demographics

All participants were non-smoking males with a mean age of 39 years.

Statistical Information

P-Value

p<0.001

Statistical Significance

p<0.001

Digital Object Identifier (DOI)

10.3390/brainsci14121296

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