Bone marrow-targetable Green Tea Catechin-Based Micellar Nanocomplex for synergistic therapy of Acute myeloid leukemia

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Bone marrow-targetable Green Tea Catechin-Based Micellar Nanocomplex for synergistic therapy of Acute myeloid leukemia
Title:
Bone marrow-targetable Green Tea Catechin-Based Micellar Nanocomplex for synergistic therapy of Acute myeloid leukemia
Journal Title:
Journal of Nanobiotechnology
Publication Date:
16 November 2022
Citation:
Bae, K. H., Lai, F., Mong, J., Niibori-Nambu, A., Chan, K. H., Her, Z., Osato, M., Tan, M.-H., Chen, Q., & Kurisawa, M. (2022). Bone marrow-targetable Green Tea Catechin-Based Micellar Nanocomplex for synergistic therapy of Acute myeloid leukemia. Journal of Nanobiotechnology, 20(1). https://doi.org/10.1186/s12951-022-01683-4
Abstract:
Abstract Background Currently available anti-leukemia drugs have shown limited success in the treatment of acute myeloid leukemia (AML) due to their poor access to bone marrow niche supporting leukemic cell proliferation. Results Herein, we report a bone marrow-targetable green tea catechin-based micellar nanocomplex for synergistic AML therapy. The nanocomplex was found to synergistically amplify the anti-leukemic potency of sorafenib via selective disruption of pro-survival mTOR signaling. In vivo biodistribution study demonstrated about 11-fold greater bone marrow accumulation of the nanocomplex compared to free sorafenib. In AML patient-derived xenograft (AML-PDX) mouse model, administration of the nanocomplex effectively eradicated bone marrow-residing leukemic blasts and improved survival rates without noticeable off-target toxicity. Conclusion This study may provide insights into the rational design of nanomedicine platforms enabling bone marrow-targeted delivery of therapeutic agents for the treatment of AML and other bone marrow diseases. Graphical Abstract
License type:
Attribution 4.0 International (CC BY 4.0)
Funding Info:
This research / project is supported by the National Research Foundation - Singapore Fellowship
Grant Reference no. : NRF-NRFF2017-03

This research / project is supported by the A*STAR - Industry Alignment Fund - Industry Collaboration Projects (IAF-ICP) Grant
Grant Reference no. : ICP-2000120

This research is supported by core funding from: A*STAR BMRC
Grant Reference no. : NA
Description:
ISSN:
1477-3155
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