X‐Ray Visible Protein Scaffolds by Bulk Iodination

Author:

Flechas Becerra Carlos1,Barrios Silva Lady V.2,Ahmed Ebtehal1,Bear Joseph C.3,Feng Zhiping1,Chau David Y.S.2,Parker Samuel G.4,Halligan Steve4,Lythgoe Mark F.1,Stuckey Daniel J.1,Patrick P. Stephen1ORCID

Affiliation:

1. Centre for Advanced Biomedical Imaging Division of Medicine University College London Paul O'Gorman Building, 72 Huntley Street London WC1E 6DD UK

2. Division of Biomaterials and Tissue Engineering Eastman Dental Institute University College London Royal Free Hospital Rowland Hill Street London NW3 2PF UK

3. School of Life Science Pharmacy & Chemistry Kingston University Penrhyn Road Kingston upon Thames KT1 2EE UK

4. Centre for Medical Imaging, Division of Medicine University College London UCL Charles Bell House, 43–45 Foley Street London W1W 7TS UK

Abstract

AbstractProtein‐based biomaterial use is expanding within medicine, together with the demand to visualize their placement and behavior in vivo. However, current medical imaging techniques struggle to differentiate between protein‐based implants and surrounding tissue. Here a fast, simple, and translational solution for tracking transplanted protein‐based scaffolds is presented using X‐ray CT–facilitating long‐term, non‐invasive, and high‐resolution imaging. X‐ray visible scaffolds are engineered by selectively iodinating tyrosine residues under mild conditions using readily available reagents. To illustrate translatability, a clinically approved hernia repair mesh (based on decellularized porcine dermis) is labeled, preserving morphological and mechanical properties. In a mouse model of mesh implantation, implants retain marked X‐ray contrast up to 3 months, together with an unchanged degradation rate and inflammatory response. The technique's compatibility is demonstrated with a range of therapeutically relevant protein formats including bovine, porcine, and jellyfish collagen, as well as silk sutures, enabling a wide range of surgical and regenerative medicine uses. This solution tackles the challenge of visualizing implanted protein‐based biomaterials, which conventional imaging methods fail to differentiate from endogenous tissue. This will address previously unanswered questions regarding the accuracy of implantation, degradation rate, migration, and structural integrity, thereby accelerating optimization and safe translation of therapeutic biomaterials.

Funder

British Heart Foundation

John Black Charitable Foundation

Wellcome Trust

Engineering and Physical Sciences Research Council

Medical Research Council

Publisher

Wiley

Subject

General Physics and Astronomy,General Engineering,Biochemistry, Genetics and Molecular Biology (miscellaneous),General Materials Science,General Chemical Engineering,Medicine (miscellaneous)

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