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  5. Miniaturized 3D bone marrow tissue model to assess response to Thrombopoietin-receptor agonists in patients

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Article
en
2021

Miniaturized 3D bone marrow tissue model to assess response to Thrombopoietin-receptor agonists in patients

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en
2021
Vol 10
Vol. 10
DOI: 10.7554/elife.58775

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David Kaplan
David Kaplan

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Christian A. Di Buduo
Pierre Laurent
Carlo Zaninetti
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Abstract

Thrombocytopenic disorders have been treated with the Thrombopoietin-receptor agonist Eltrombopag. Patients with the same apparent form of thrombocytopenia may respond differently to the treatment. We describe a miniaturized bone marrow tissue model that provides a screening bioreactor for personalized, pre-treatment response prediction to Eltrombopag for individual patients. Using silk fibroin, a 3D bone marrow niche was developed that reproduces platelet biogenesis. Hematopoietic progenitors were isolated from a small amount of peripheral blood of patients with mutations in ANKRD26 and MYH9 genes, who had previously received Eltrombopag. The ex vivo response was strongly correlated with the in vivo platelet response. Induced Pluripotent Stem Cells (iPSCs) from one patient with mutated MYH9 differentiated into functional megakaryocytes that responded to Eltrombopag. Combining patient-derived cells and iPSCs with the 3D bone marrow model technology allows having a reproducible system for studying drug mechanisms and for individualized, pre-treatment selection of effective therapy in Inherited Thrombocytopenias.

How to cite this publication

Christian A. Di Buduo, Pierre Laurent, Carlo Zaninetti, Larissa Lordier, Paolo M. Soprano, Aikaterini Ntai, Serena Barozzi, Alberto Spada, Ida Biunno, Hana Raslová, James B. Bussel, David Kaplan, Carlo L. Balduini, Alessandro Pecci, Alessandra Balduini (2021). Miniaturized 3D bone marrow tissue model to assess response to Thrombopoietin-receptor agonists in patients. , 10, DOI: https://doi.org/10.7554/elife.58775.

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Publication Details

Type

Article

Year

2021

Authors

15

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.7554/elife.58775

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