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Published on: January 16, 2021
X-Ray Visible Protein Scaffolds by Bulk Iodination
Carlos Flechas Becerra1, Lady V Barrios Silva2, Ebtehal Ahmed1
1Centre for Advanced Biomedical Imaging, Division of Medicine, University College London, Paul O'Gorman Building, 72 Huntley Street, London, WC1E 6DD, UK.
Researchers developed a simple method to make protein biomaterials visible with X-ray CT scans. This allows for non-invasive tracking of implants in vivo, aiding in the optimization and translation of new medical therapies.
Area of Science:
- Biomaterials Science
- Medical Imaging
- Regenerative Medicine
Background:
- Protein-based biomaterials are increasingly used in medicine.
- Current imaging techniques cannot effectively differentiate protein implants from surrounding tissues.
- Visualizing implant placement and behavior in vivo is crucial for therapeutic development.
Purpose of the Study:
- To develop a fast, simple, and translational method for tracking protein-based scaffolds in vivo.
- To enable non-invasive, high-resolution imaging of implanted biomaterials using X-ray computed tomography (CT).
Main Methods:
- Selective iodination of tyrosine residues in protein scaffolds under mild conditions.
- Engineering X-ray visible scaffolds using readily available reagents.
- Testing the technique on a clinically approved hernia repair mesh and various protein formats (collagens, silk sutures).
Main Results:
- The iodination method successfully rendered protein scaffolds visible with X-ray CT.
- Implanted meshes in a mouse model retained X-ray contrast for up to 3 months.
- The labeling process preserved the morphological and mechanical properties of the biomaterials.
- Degradation rates and inflammatory responses remained unchanged after labeling.
Conclusions:
- This X-ray CT-facilitating technique provides a viable solution for visualizing implanted protein-based biomaterials.
- The method is compatible with diverse protein formats, supporting broad applications in surgery and regenerative medicine.
- This approach will accelerate the optimization and safe clinical translation of therapeutic biomaterials by answering key questions about their in vivo performance.
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