journal article·2023-07-11Open access

DNA-AgNC Loaded Liposomes for Measuring Cerebral Blood Flow Using Two-Photon Fluorescence Correlation Spectroscopy

Xiaojin Wang, Mikkel B. Liisberg, Georgia L. Nolt, Xu Fu, Cecilia Cerretani, Lan Li, Lance A. Johnson, Tom Vosch, Christopher I. Richards

ACS Nano· Volume 17· Issue 13

Abstract

Unraveling the transport of drugs and nanocarriers in cerebrovascular networks is important for pharmacokinetic and hemodynamic studies but is challenging due to the complexity of sensing individual particles within the circulatory system of a live animal. Here, we demonstrate that a DNA-stabilized silver nanocluster (DNA-Ag 16 NC) that emits in the first near-infrared window upon two-photon excitation in the second NIR window can be used for multiphoton in vivo fluorescence correlation spectroscopy for the measurement of cerebral blood flow rates in live mice with high spatial and temporal resolution. To ensure bright and stable emission during in vivo experiments, we loaded DNA-Ag 16 NCs into liposomes, which served the dual purposes of concentrating the fluorescent label and protecting it from degradation. DNA-Ag 16 NC-loaded liposomes enabled the quantification of cerebral blood flow velocities within individual vessels of a living mouse.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Nanocluster Synthesis and Applications · Gold and Silver Nanoparticles Synthesis and Applications · Advanced Nanomaterials in Catalysis

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

Affiliations

Department of Chemistry, University of Kentucky, Lexington 40506, Kentucky, United States

Department of Chemistry, University of Copenhagen, Universitetsparken 5, Copenhagen DK-2100, Denmark

Department of Physiology, University of Kentucky, Lexington 40536, Kentucky, United States

Light Microscopy Core, University of Kentucky, Lexington 40536, Kentucky, United States

Sanders Brown Center on Aging, University of Kentucky, Lexington 40508, Kentucky, United States

Nanoscience Center, University of Copenhagen, Universitetsparken 5, Copenhagen DK-2100, Denmark

Funding

Novo Nordisk Fonden · National Institute of General Medical Sciences

References (72)

Show source-provided references
1. 10.1038/nature0961310.1038/nature09613 ↗
2. 10.1074/jbc.R116.76021510.1074/jbc.R116.760215 ↗
3. 10.1038/nprot.2018.03410.1038/nprot.2018.034 ↗
4. 10.1002/ppsc.20200031110.1002/ppsc.202000311 ↗
5. 10.1371/journal.pone.002264310.1371/journal.pone.0022643 ↗
6. 10.1038/srep1017810.1038/srep10178 ↗
7. 10.1073/pnas.210086611810.1073/pnas.2100866118 ↗
8. 10.1038/srep2781810.1038/srep27818 ↗
9. 10.1038/s41598-019-41966-910.1038/s41598-019-41966-9 ↗
10. 10.1021/acsnano.2c0134910.1021/acsnano.2c01349 ↗
11. 10.3390/nu1005053010.3390/nu10050530 ↗
12. 10.3390/bios1012020110.3390/bios10120201 ↗
13. 10.1364/OPTICA.42287110.1364/OPTICA.422871 ↗
14. 10.1371/journal.pone.003859010.1371/journal.pone.0038590 ↗
15. 10.3390/pharmaceutics1406128310.3390/pharmaceutics14061283 ↗
16. 10.1021/nn506485810.1021/nn5064858 ↗
17. 10.1016/j.addr.2022.11446310.1016/j.addr.2022.114463 ↗
18. 10.1016/j.biomaterials.2021.12078410.1016/j.biomaterials.2021.120784 ↗
19. 10.1021/acs.molpharmaceut.8b0037010.1021/acs.molpharmaceut.8b00370 ↗
20. 10.1021/acs.biomac.8b0058910.1021/acs.biomac.8b00589 ↗
21. 10.1016/j.biomaterials.2015.02.01710.1016/j.biomaterials.2015.02.017 ↗
22. 10.1021/acs.nanolett.0c0228010.1021/acs.nanolett.0c02280 ↗
23. 10.1021/acsnano.0c0004310.1021/acsnano.0c00043 ↗
24. 10.1021/acsnano.8b0245210.1021/acsnano.8b02452 ↗
25. 10.7150/thno.5378010.7150/thno.53780 ↗
26. 10.1038/s41551-016-001010.1038/s41551-016-0010 ↗
27. 10.1021/ja804710r10.1021/ja804710r ↗
28. 10.1039/c2nr30628j10.1039/c2nr30628j ↗
29. 10.1039/D0NA01005G10.1039/D0NA01005G ↗
30. 10.1021/acsnano.8b0340410.1021/acsnano.8b03404 ↗
31. 10.1088/2050-6120/aaa8bc10.1088/2050-6120/aaa8bc ↗
32. 10.3389/fchem.2020.60162110.3389/fchem.2020.601621 ↗
33. 10.1021/acs.biomac.1c0140710.1021/acs.biomac.1c01407 ↗
34. 10.1021/acsnano.1c0499610.1021/acsnano.1c04996 ↗
35. 10.1038/s41598-017-14725-x10.1038/s41598-017-14725-x ↗
36. 10.1126/sciadv.abf439810.1126/sciadv.abf4398 ↗
37. 10.1016/j.mser.2007.06.00110.1016/j.mser.2007.06.001 ↗
38. 10.1039/D1CP01731D10.1039/D1CP01731D ↗
39. 10.1021/acs.jpclett.0c0368810.1021/acs.jpclett.0c03688 ↗
40. 10.1039/D0CC01849J10.1039/D0CC01849J ↗
41. 10.1002/anie.20190676610.1002/anie.201906766 ↗
42. 10.1021/jacs.3c0136610.1021/jacs.3c01366 ↗
43. 10.1039/D1SC05079F10.1039/D1SC05079F ↗
44. 10.1021/jp206110r10.1021/jp206110r ↗
45. 10.1039/C8CC01521J10.1039/C8CC01521J ↗
46. 10.1039/D2SC01137A10.1039/D2SC01137A ↗
47. 10.1364/JOSAB.13.00048110.1364/JOSAB.13.000481 ↗
48. 10.1039/C9SC00865A10.1039/C9SC00865A ↗
49. 10.1038/s41598-019-46732-510.1038/s41598-019-46732-5 ↗
50. 10.1021/acs.jpclett.3c0076410.1021/acs.jpclett.3c00764 ↗
51. 10.1021/ac025674210.1021/ac0256742 ↗
52. 10.1039/C4SM01007H10.1039/C4SM01007H ↗
53. 10.1021/nl100924z10.1021/nl100924z ↗
54. 10.1016/j.brainres.2010.01.03210.1016/j.brainres.2010.01.032 ↗
55. 10.1073/pnas.211734611910.1073/pnas.2117346119 ↗
56. 10.3389/fphar.2015.0028610.3389/fphar.2015.00286 ↗
57. 10.1016/j.jddst.2020.10154910.1016/j.jddst.2020.101549 ↗
58. 10.3892/mmr.2022.1276910.3892/mmr.2022.12769 ↗
59. 10.3390/molecules2613404510.3390/molecules26134045 ↗
60. 10.1021/acs.analchem.8b0449310.1021/acs.analchem.8b04493 ↗
61. 10.1021/acsami.2c1380510.1021/acsami.2c13805 ↗
62. 10.1002/adfm.20200051110.1002/adfm.202000511 ↗
63. 10.1016/j.jddst.2019.06.01610.1016/j.jddst.2019.06.016 ↗
64. 10.1016/j.chemphyslip.2012.03.00610.1016/j.chemphyslip.2012.03.006 ↗
65. 10.3791/5130410.3791/51304 ↗
66. 10.3390/pharmaceutics1305069110.3390/pharmaceutics13050691 ↗
67. Schwille P. · 2002 · 10
68. 10.1038/nprot.2009.8910.1038/nprot.2009.89 ↗
69. 10.3791/680-v10.3791/680-v ↗
70. 10.3791/56297-v10.3791/56297-v ↗
71. 10.1038/nprot.2014.16510.1038/nprot.2014.165 ↗
72. 10.1038/laban0511-15510.1038/laban0511-155 ↗