Bioprinting Soft 3D Models of Hematopoiesis using Natural Silk Fibroin‐Based Bioink Efficiently Supports Platelet Differentiation

Author:

Di Buduo Christian Andrea1ORCID,Lunghi Marco1,Kuzmenko Volodymyr2,Laurent Pierre‐Alexandre1ORCID,Della Rosa Giulia1ORCID,Del Fante Claudia3ORCID,Dalle Nogare Damian Edward4,Jug Florian4ORCID,Perotti Cesare3,Eto Koji56ORCID,Pecci Alessandro7ORCID,Redwan Itedale Namro2ORCID,Balduini Alessandra18ORCID

Affiliation:

1. Department of Molecular Medicine University of Pavia Pavia 27100 Italy

2. CELLINK Bioprinting AB Gothenburg 41276 Sweden

3. Immunohaematology and Transfusion Service I.R.C.C.S. Policlinico S. Matteo Foundation Pavia 27100 Italy

4. Human Technopole Milan 20157 Italy

5. Department of Clinical Application Center for iPS Cell Research and Application (CiRA) Kyoto University Kyoto 606‐8507 Japan

6. Department of Regenerative Medicine Graduate School of Medicine Chiba University Chiba 260‐8670 Japan

7. Department of Internal Medicine I.R.C.C.S. Policlinico S. Matteo Foundation and University of Pavia Pavia 27100 Italy

8. Department of Biomedical Engineering Tufts University Medford MA 02155 USA

Abstract

AbstractHematopoietic stem and progenitor cells (HSPCs) continuously generate platelets throughout one's life. Inherited Platelet Disorders affect ≈ 3 million individuals worldwide and are characterized by defects in platelet formation or function. A critical challenge in the identification of these diseases lies in the absence of models that facilitate the study of hematopoiesis ex vivo. Here, a silk fibroin‐based bioink is developed and designed for 3D bioprinting. This bioink replicates a soft and biomimetic environment, enabling the controlled differentiation of HSPCs into platelets. The formulation consisting of silk fibroin, gelatin, and alginate is fine‐tuned to obtain a viscoelastic, shear‐thinning, thixotropic bioink with the remarkable ability to rapidly recover after bioprinting and provide structural integrity and mechanical stability over long‐term culture. Optical transparency allowed for high‐resolution imaging of platelet generation, while the incorporation of enzymatic sensors allowed quantitative analysis of glycolytic metabolism during differentiation that is represented through measurable color changes. Bioprinting patient samples revealed a decrease in metabolic activity and platelet production in Inherited Platelet Disorders. These discoveries are instrumental in establishing reference ranges for classification and automating the assessment of treatment responses. This model has far‐reaching implications for application in the research of blood‐related diseases, prioritizing drug development strategies, and tailoring personalized therapies.

Funder

HORIZON EUROPE European Innovation Council

Horizon 2020

Publisher

Wiley

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