journal article·2018-05-02

HDL-AuNPs-BMS Nanoparticle Conjugates as Molecularly Targeted Therapy for Leukemia

Na Shen, Fei Yan, Jiuxia Pang, Zhe Gao, Aref Al-Kali, Christy L. Haynes, Mark R. Litzow, Shujun Liu

ACS Applied Materials & Interfaces· Volume 10· Issue 17
Publisher page

Abstract

Gold nanoparticles (AuNPs) with adsorbed high-density lipoprotein (HDL) have been utilized to deliver oligonucleotides, yet HDL-AuNPs functionalized with small-molecule inhibitors have not been systematically explored. Here, we report an AuNP-based therapeutic system (HDL-AuNPs-BMS) for acute myeloid leukemia (AML) by delivering BMS309403 (BMS), a small molecule that selectively inhibits AML-promoting factor fatty acid-binding protein 4. To synthesize HDL-AuNPs-BMS, we use AuNP as a template to control conjugate size ensuring a spherical shape to engineer HDL-like nanoparticles containing BMS. The zeta potential and size of the HDL-AuNPs obtained from transmission electron microscopy demonstrate that the HDL-AuNPs-BMS are electrostatically stable and 25 nm in diameter. Functionally, compared to free drug, HDL-AuNPs-BMS conjugates are more readily internalized by AML cells and have more pronounced effects on downregulation of DNA methyltransferase 1 (DNMT1), induction of DNA hypomethylation, and restoration of epigenetically silenced tumor suppressor p15INK4B coupled with AML growth arrest. Importantly, systemic administration of HDL-AuNPs-BMS conjugates into AML-bearing mice inhibits DNMT1-dependent DNA methylation, induces AML cell differentiation, and diminishes AML disease progression without obvious side effects. In summary, these data, for the first time, demonstrate HDL-AuNPs as an effective delivery platform with great potential to attach distinct inhibitors and HDL-AuNPs-BMS conjugates as a promising therapeutic platform to treat leukemia.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Acute Myeloid Leukemia Research · Protein Degradation and Inhibitors · Epigenetics and DNA Methylation

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

The Hormel Institute, University of Minnesota, Austin, Minnesota 55912, United States

Department of Chemistry, College of Science and Engineering, Minneapolis, Minnesota 55455, United States

Division of Hematology, Mayo Clinic, Rochester, Minnesota 55905, United States

Funding

National Cancer Institute · Hormel Institute, University of Minnesota

References (50)

Show source-provided references
1. 10.1088/0031-9155/55/11/00410.1088/0031-9155/55/11/004 ↗
2. 10.1073/pnas.050489210210.1073/pnas.0504892102 ↗
3. 10.1073/pnas.081332710610.1073/pnas.0813327106 ↗
4. 10.1021/bc900221210.1021/bc9002212 ↗
5. 10.1016/j.addr.2008.03.01310.1016/j.addr.2008.03.013 ↗
6. 10.1016/j.tiv.2015.05.02210.1016/j.tiv.2015.05.022 ↗
7. 10.2147/ijn.s2914710.2147/ijn.s29147 ↗
8. 10.1021/ar200061q10.1021/ar200061q ↗
9. 10.1517/17425247.3.2.20510.1517/17425247.3.2.205 ↗
10. 10.1016/j.addr.2009.11.00410.1016/j.addr.2009.11.004 ↗
11. 10.1039/b806051g10.1039/b806051g ↗
12. 10.1021/acsnano.5b0752210.1021/acsnano.5b07522 ↗
13. 10.1038/ncpcardio050010.1038/ncpcardio0500 ↗
14. 10.1111/j.1476-5381.2012.02081.x10.1111/j.1476-5381.2012.02081.x ↗
15. 10.1158/0008-5472.can-03-067510.1158/0008-5472.can-03-0675 ↗
16. 10.1186/bcr348310.1186/bcr3483 ↗
17. 10.1210/er.2001-003710.1210/er.2001-0037 ↗
18. 10.1136/gut.2010.22501110.1136/gut.2010.225011 ↗
19. 10.1093/jnci/djh21610.1093/jnci/djh216 ↗
20. 10.1038/ncb221010.1038/ncb2210 ↗
21. 10.1021/nn403906310.1021/nn4039063 ↗
22. 10.1593/neo.10137210.1593/neo.101372 ↗
23. 10.1007/s11095-012-0957-410.1007/s11095-012-0957-4 ↗
24. 10.1021/ja808856z10.1021/ja808856z ↗
25. 10.1021/nl104194710.1021/nl1041947 ↗
26. 10.1073/pnas.121365711010.1073/pnas.1213657110 ↗
27. 10.1038/leu.2016.34910.1038/leu.2016.349 ↗
28. 10.1016/j.bmcl.2006.12.04410.1016/j.bmcl.2006.12.044 ↗
29. 10.1021/ja074447k10.1021/ja074447k ↗
30. 10.1038/leu.2015.5610.1038/leu.2015.56 ↗
31. 10.18632/oncotarget.887110.18632/oncotarget.8871 ↗
32. 10.18632/oncotarget.213110.18632/oncotarget.2131 ↗
33. 10.1016/j.ccr.2010.03.00810.1016/j.ccr.2010.03.008 ↗
34. 10.1158/1078-0432.ccr-17-023510.1158/1078-0432.ccr-17-0235 ↗
35. 10.1074/jbc.m114.63369310.1074/jbc.m114.633693 ↗
36. 10.1038/cddis.2014.38010.1038/cddis.2014.380 ↗
37. 10.1182/blood-2008-02-13441110.1182/blood-2008-02-134411 ↗
38. 10.1016/j.leukres.2005.01.01310.1016/j.leukres.2005.01.013 ↗
39. 10.1111/j.1365-2184.2011.00758.x10.1111/j.1365-2184.2011.00758.x ↗
40. 10.1126/science.271.5248.51810.1126/science.271.5248.518 ↗
41. 10.1172/jci2532710.1172/jci25327 ↗
42. 10.1530/eje-10-119510.1530/eje-10-1195 ↗
43. 10.1016/j.arcmed.2010.09.00710.1016/j.arcmed.2010.09.007 ↗
44. 10.1016/j.jhep.2012.10.02210.1016/j.jhep.2012.10.022 ↗
45. 10.1002/anie.20050211310.1002/anie.200502113 ↗
46. 10.1182/blood-2009-01-19891110.1182/blood-2009-01-198911 ↗
47. 10.1016/s0145-2126(99)00158-710.1016/s0145-2126(99)00158-7 ↗
48. 10.1182/blood.v97.5.117210.1182/blood.v97.5.1172 ↗
49. 10.3389/fphar.2016.0046610.3389/fphar.2016.00466 ↗
50. 10.1021/nn203545710.1021/nn2035457 ↗