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Background

Spinal cord injury (SCI) is a devastating disease with no clear molecular mechanisms or effective treatments. Murine models of SCI have been widely used to explore its pathogenesis.

Methods

In this study, a comprehensive bioinformatic analysis using GEO datasets was performed to evaluate the characteristics of different SCI models.

Results

We found that the contusion model was similar to the compression model, with inflammation and apoptosis significantly enriched, while more complex biological processes existed in hemisection and transection model. Inflammatory markers can be used as a primary evaluation index of SCI models not only in the acute and subacute phases, but also in the chronic phase. In the meantime, apoptosis markers are more suitable for evaluating mouse SCI models while inflammatory markers are more suitable for rat SCI models. In addition, SCI models with different ages, genders, injury positions, and injury levels were also analyzed.

Conclusion

Our findings indicate that SCI is a heterogeneous disease and play an instructive role in model selecting.

Publication history
Copyright
Acknowledgements
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Publication history

Received: 28 July 2023
Revised: 29 September 2023
Accepted: 08 October 2023
Published: 14 October 2023
Issue date: December 2023

Copyright

© 2023 The Authors.

Acknowledgements

The analyses of this study were supported by the Medical Research Data Center of Fudan University. We acknowledge the generous support of the HOME for researchers (https://www.home-for-researchers.com/static/index.html#/).

Rights and permissions

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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