A parallelized, perfused 3D triculture model of leukemia for in vitro drug testing of chemotherapeutics

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Zippel, S.; Dilger, N.; Chatterjee, C.; Raic, A.; Brenner-Weiß, G. et al.: A parallelized, perfused 3D triculture model of leukemia for in vitro drug testing of chemotherapeutics. In: Biofabrication 14 (2022), Nr. 3, 035011. DOI: https://doi.org/10.1088/1758-5090/ac6a7e

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/14372

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Sum total of downloads: 51




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Leukemia patients undergo chemotherapy to combat the leukemic cells (LCs) in the bone marrow. During therapy not only the LCs, but also the blood-producing hematopoietic stem and progenitor cells (HSPCs) may be destroyed. Chemotherapeutics targeting only the LCs are urgently needed to overcome this problem and minimize life-threatening side-effects. Predictive in vitro drug testing systems allowing simultaneous comparison of various experimental settings would enhance the efficiency of drug development. Here, we present a three-dimensional (3D) human leukemic bone marrow model perfused using a magnetic, parallelized culture system to ensure media exchange. Chemotherapeutic treatment of the acute myeloid leukemia cell line KG-1a in 3D magnetic hydrogels seeded with mesenchymal stem/stromal cells (MSCs) revealed a greater resistance of KG-1a compared to 2D culture. In 3D tricultures with HSPCs, MSCs and KG-1a, imitating leukemic bone marrow, HSPC proliferation decreased while KG-1a cells remained unaffected post treatment. Non-invasive metabolic profiling enabled continuous monitoring of the system. Our results highlight the importance of using biomimetic 3D platforms with proper media exchange and co-cultures for creating in vivo-like conditions to enable in vitro drug testing. This system is a step towards drug testing in biomimetic, parallelized in vitro approaches, facilitating the discovery of new anti-leukemic drugs.
License of this version: CC BY 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2022
Appears in Collections:Naturwissenschaftliche Fakultät

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pos. country downloads
total perc.
1 image of flag of United States United States 15 29.41%
2 image of flag of Germany Germany 12 23.53%
3 image of flag of Sweden Sweden 6 11.76%
4 image of flag of Czech Republic Czech Republic 4 7.84%
5 image of flag of Portugal Portugal 3 5.88%
6 image of flag of United Kingdom United Kingdom 3 5.88%
7 image of flag of Russian Federation Russian Federation 2 3.92%
8 image of flag of Indonesia Indonesia 2 3.92%
9 image of flag of France France 2 3.92%
10 image of flag of No geo information available No geo information available 1 1.96%
    other countries 1 1.96%

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