journal article·2022-05-10

Nanoparticle Properties Influence Transendothelial Migration of Monocytes

Nahal Habibi, Tyler D. Brown, Kwasi Adu-Berchie, Stephanie Christau, Jeffery E. Raymond, David J. Mooney, Samir Mitragotri, Joerg Lahann

Langmuir· Volume 38· Issue 18
Publisher page

Abstract

Nanoparticle-based delivery of therapeutics to the brain has had limited clinical impact due to challenges crossing the blood–brain barrier (BBB). Certain cells, such as monocytes, possess the ability to migrate across the BBB, making them attractive candidates for cell-based brain delivery strategies. In this work, we explore nanoparticle design parameters that impact both monocyte association and monocyte-mediated BBB transport. We use electrohydrodynamic jetting to prepare nanoparticles of varying sizes, compositions, and elasticity to address their impact on uptake by THP-1 monocytes and permeation across the BBB. An in vitro human BBB model is developed using human cerebral microvascular endothelial cells (hCMEC/D3) for the assessment of migration. We compare monocyte uptake of both polymeric and synthetic protein nanoparticles (SPNPs) of various sizes, as well as their effect on cell migration. SPNPs (human serum albumin/HSA or human transferrin/TF) are shown to promote increased monocyte-mediated transport across the BBB over polymeric nanoparticles. TF SPNPs (200 nm) associate readily, with an average uptake of 138 particles/cell. Nanoparticle loading is shown to influence the migration of THP-1 monocytes. The migration of monocytes loaded with 200 nm TF and 200 nm HSA SPNPs was 2.3-fold and 2.1-fold higher than that of an untreated control. RNA-seq analysis after TF SPNP treatment suggests that the upregulation of several migration genes may be implicated in increased monocyte migration (ex. integrin subunits α M and α L). Integrin β 2 chain combines with either integrin subunit α M chain or integrin subunit α L chain to form macrophage antigen 1 and lymphocyte function-associated antigen 1 integrins. Both products play a pivotal role in the transendothelial migration cascade. Our findings highlight the potential of SPNPs as drug and/or gene delivery platforms for monocyte-mediated BBB transport, especially where conventional polymer nanoparticles are ineffective or otherwise not desirable.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Barrier Structure and Function Studies · Nanoparticle-Based Drug Delivery · Extracellular vesicles in disease

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

Affiliations

Biointerfaces Institute and Department of Chemical Engineering, University of Michigan, Ann Arbor, Michigan 48109, United States

Wyss Institute of Biologically Inspired Engineering, Harvard University, 3 Blackfan Circle, Boston, Massachusetts 02115, United States

School of Engineering and Applied Sciences, Harvard University, 29 Oxford Street, Cambridge, Massachusetts 02318, United States

Department of Material Science & Engineering, Department of Macromolecular Science & Engineering, and Department of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan 48109, United States

Funding

Defense Threat Reduction Agency · Division of Materials Research

References (98)

Show source-provided references
1. 10.1016/S1474-4422(18)30499-X10.1016/S1474-4422(18)30499-X ↗
2. 10.1002/ana.2489710.1002/ana.24897 ↗
3. 10.1021/acs.langmuir.1c0250010.1021/acs.langmuir.1c02500 ↗
4. 10.1016/j.addr.2019.11.00910.1016/j.addr.2019.11.009 ↗
5. 10.1016/j.jconrel.2011.08.01710.1016/j.jconrel.2011.08.017 ↗
6. 10.7150/thno.2125410.7150/thno.21254 ↗
7. 10.1002/advs.20210401210.1002/advs.202104012 ↗
8. 10.1016/j.trci.2018.06.01410.1016/j.trci.2018.06.014 ↗
9. 10.1186/s40035-015-0042-010.1186/s40035-015-0042-0 ↗
10. 10.1038/nrdp.2017.1310.1038/nrdp.2017.13 ↗
11. 10.3390/biom702003410.3390/biom7020034 ↗
12. 10.1038/nature0720110.1038/nature07201 ↗
13. 10.1038/nri173310.1038/nri1733 ↗
14. 10.1002/wnan.162510.1002/wnan.1625 ↗
15. 10.1016/j.jconrel.2014.03.05010.1016/j.jconrel.2014.03.050 ↗
16. 10.2217/nnm-2020-010610.2217/nnm-2020-0106 ↗
17. 10.1371/journal.pone.015402210.1371/journal.pone.0154022 ↗
18. 10.2217/nnm.10.710.2217/nnm.10.7 ↗
19. 10.4172/2157-7439.s4-00310.4172/2157-7439.s4-003 ↗
20. 10.1126/sciadv.aau830110.1126/sciadv.aau8301 ↗
21. 10.1016/j.jconrel.2008.08.01710.1016/j.jconrel.2008.08.017 ↗
22. 10.1016/j.biomaterials.2017.06.01710.1016/j.biomaterials.2017.06.017 ↗
23. 10.1002/adbi.20210129310.1002/adbi.202101293 ↗
24. 10.1021/acs.biomac.1c0048810.1021/acs.biomac.1c00488 ↗
25. 10.1021/acs.bioconjchem.1c0002610.1021/acs.bioconjchem.1c00026 ↗
26. 10.1016/j.jconrel.2014.11.02710.1016/j.jconrel.2014.11.027 ↗
27. 10.1016/j.biomaterials.2010.01.06510.1016/j.biomaterials.2010.01.065 ↗
28. 10.1021/acs.langmuir.5b0122610.1021/acs.langmuir.5b01226 ↗
29. 10.1021/acs.langmuir.6b0206410.1021/acs.langmuir.6b02064 ↗
30. 10.1073/pnas.060099710310.1073/pnas.0600997103 ↗
31. 10.1021/acsnano.5b0014710.1021/acsnano.5b00147 ↗
32. 10.1016/S0168-3659(03)00005-110.1016/S0168-3659(03)00005-1 ↗
33. 10.1080/21691401.2019.157788610.1080/21691401.2019.1577886 ↗
34. 10.3109/02652048.2011.65150010.3109/02652048.2011.651500 ↗
35. 10.1016/j.jconrel.2004.06.02010.1016/j.jconrel.2004.06.020 ↗
36. 10.2147/IJN.S12402110.2147/IJN.S124021 ↗
37. 10.2174/138161282366617040714352510.2174/1381612823666170407143525 ↗
38. 10.1016/j.jconrel.2011.07.03110.1016/j.jconrel.2011.07.031 ↗
39. 10.1016/j.jconrel.2012.04.03610.1016/j.jconrel.2012.04.036 ↗
40. 10.1016/j.jconrel.2011.09.06910.1016/j.jconrel.2011.09.069 ↗
41. 10.1002/marc.20200042510.1002/marc.202000425 ↗
42. 10.1186/s12974-016-0657-910.1186/s12974-016-0657-9 ↗
43. 10.4049/jimmunol.170.9.479310.4049/jimmunol.170.9.4793 ↗
44. 10.1517/17425247.2010.49847410.1517/17425247.2010.498474 ↗
45. 10.4155/fmc.15.1510.4155/fmc.15.15 ↗
46. 10.1038/s41598-017-11220-110.1038/s41598-017-11220-1 ↗
47. 10.1016/j.jconrel.2019.01.00510.1016/j.jconrel.2019.01.005 ↗
48. 10.1038/nbt.333010.1038/nbt.3330 ↗
49. 10.1038/nbt134010.1038/nbt1340 ↗
50. 10.1016/j.jconrel.2009.10.01410.1016/j.jconrel.2009.10.014 ↗
51. 10.1016/j.jconrel.2010.03.01110.1016/j.jconrel.2010.03.011 ↗
52. Moghimi S. M. · Pharmacol. Rev. · 2001 · 53 · 283
53. 10.1155/2020/519478010.1155/2020/5194780 ↗
54. 10.1586/14737159.2013.81921610.1586/14737159.2013.819216 ↗
55. 10.1126/sciadv.aaz431610.1126/sciadv.aaz4316 ↗
56. 10.1016/j.addr.2016.01.00710.1016/j.addr.2016.01.007 ↗
57. 10.1021/acsbiomaterials.0c0074310.1021/acsbiomaterials.0c00743 ↗
58. 10.1002/adtp.20200010010.1002/adtp.202000100 ↗
59. 10.1002/btm2.1001010.1002/btm2.10010 ↗
60. 10.1093/cvr/cvu04010.1093/cvr/cvu040 ↗
61. 10.3791/147510.3791/1475 ↗
62. 10.3791/5621810.3791/56218 ↗
63. Sanyal, S.; Qian, S.; Partridge, J.; Sciences, C. L. Technical Bulletin # 457 Optimized Chemotaxis Conditions for Primary Blood 96-Multiwell Insert Plates. No. 353928; Corning Incorporated, pp 1–4.
64. 10.1038/nmeth.419710.1038/nmeth.4197 ↗
65. 10.1093/nar/gkz96610.1093/nar/gkz966 ↗
66. 10.1186/s13059-014-0550-810.1186/s13059-014-0550-8 ↗
67. 10.1093/nar/gkw37710.1093/nar/gkw377 ↗
68. 10.1021/bc700184b10.1021/bc700184b ↗
69. 10.1007/s10103-015-1742-510.1007/s10103-015-1742-5 ↗
70. 10.1080/23723556.2020.187064710.1080/23723556.2020.1870647 ↗
71. 10.1038/s41467-020-19225-710.1038/s41467-020-19225-7 ↗
72. 10.3762/bjnano.13.2210.3762/bjnano.13.22 ↗
73. 10.3390/NANO812102810.3390/NANO8121028 ↗
74. 10.1021/la060951b10.1021/la060951b ↗
75. 10.1371/journal.pone.000872610.1371/journal.pone.0008726 ↗
76. 10.1038/nri215610.1038/nri2156 ↗
77. 10.1016/S1074-7613(04)00082-210.1016/S1074-7613(04)00082-2 ↗
78. 10.1080/1073968050046637610.1080/10739680500466376 ↗
79. 10.1021/bi061566o10.1021/bi061566o ↗
80. 10.1182/blood.V99.1.33610.1182/blood.V99.1.336 ↗
81. 10.4049/jimmunol.171.11.610510.4049/jimmunol.171.11.6105 ↗
82. 10.1038/ni119410.1038/ni1194 ↗
83. 10.4049/jimmunol.177.1.60410.4049/jimmunol.177.1.604 ↗
84. 10.1038/ni105110.1038/ni1051 ↗
85. 10.4049/jimmunol.130085810.4049/jimmunol.1300858 ↗
86. 10.1086/31516310.1086/315163 ↗
87. Subcellular - TFRC - The Human Protein Atlas, 2022. https://www.proteinatlas.org/ENSG00000072274-TFRC/subcellular#human (accessed Jan 20, 2022).
88. 10.1186/s12885-015-1546-910.1186/s12885-015-1546-9 ↗
89. 10.1111/j.1600-0765.1999.tb02243.x10.1111/j.1600-0765.1999.tb02243.x ↗
90. 10.3389/fimmu.2021.67945810.3389/fimmu.2021.679458 ↗
91. 10.1007/BF0031982210.1007/BF00319822 ↗
92. 10.1021/ma060790i10.1021/ma060790i ↗
93. 10.1016/j.jmbbm.2011.08.00110.1016/j.jmbbm.2011.08.001 ↗
94. 10.1049/mnl:2007003010.1049/mnl:20070030 ↗
95. 10.1002/smll.20190741810.1002/smll.201907418 ↗
96. 10.1007/s11051-017-4105-210.1007/s11051-017-4105-2 ↗
97. 10.1016/j.yofte.2018.04.01610.1016/j.yofte.2018.04.016 ↗
98. 10.1088/0022-3727/31/19/00610.1088/0022-3727/31/19/006 ↗