Near-Infrared Fluorescent Nanoprobes for Revealing the Role of Dopamine in Drug Addiction
Source abstract
Abstract
Brain imaging techniques enable visualizing the activity of central nervous system without invasive neurosurgery. Dopamine is an important neurotransmitter. Its fluctuation in brain leads to a wide range of diseases and disorders, like drug addiction, depression, and Parkinson's disease. We designed near-infrared fluorescence dopamine-responsive nanoprobes (DRNs) for brain activity imaging during drug abuse and addiction process. On the basis of light-induced electron transfer between DRNs and dopamine and molecular wire effect of the DRNs, we can track the dynamical change of the neurotransmitter level in the physiological environment and the releasing of the neurotransmitter in living dopaminergic neurons in response to nicotine stimulation. The functional near-infrared fluorescence imaging can dynamically track the dopamine level in the mice midbrain under normal or drug-activated condition and evaluate the long-term effect of addictive substances to the brain. This strategy has the potential for studying neural activity under physiological condition.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Nicotinic Acetylcholine Receptors Study · Photoreceptor and optogenetics research · Receptor Mechanisms and Signaling
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Polymer Science and Engineering, Key Laboratory of High Performance Polymer Materials and Technology of MOE, Collaborative Innovation Center of Chemistry for Life Sciences, School of Chemistry & Chemical Engineering, Nanjing University, Nanjing 210023, China
Department of Biomedical Engineering, College of Engineering and Applied Science, Nanjing University, Nanjing 210093, China
Funding
Ministry of Education of the People's Republic of China · National Natural Science Foundation of China · Jiangsu Province
References (62)
Show source-provided references
1. 10.1021/nn401284710.1021/nn4012847 ↗
2. 10.3988/jcn.2009.5.4.15310.3988/jcn.2009.5.4.153 ↗
3. 10.1038/nrn98310.1038/nrn983 ↗
4. 10.1038/nm.272110.1038/nm.2721 ↗
5. 10.1126/science.278.5335.4510.1126/science.278.5335.45 ↗
6. 10.1038/nature1171310.1038/nature11713 ↗
7. 10.1073/pnas.081150710610.1073/pnas.0811507106 ↗
8. 10.1016/S0376-8716(98)00069-610.1016/S0376-8716(98)00069-6 ↗
9. 10.1038/sj.mp.400150710.1038/sj.mp.4001507 ↗
10. 10.1126/science.124938010.1126/science.1249380 ↗
11. 10.1016/j.neuroimage.2005.06.03910.1016/j.neuroimage.2005.06.039 ↗
12. 10.1039/C4TB00789A10.1039/C4TB00789A ↗
13. 10.1021/am301452b10.1021/am301452b ↗
14. 10.1038/nature0147610.1038/nature01476 ↗
15. 10.1073/pnas.161354111410.1073/pnas.1613541114 ↗
16. 10.3390/s1707152110.3390/s17071521 ↗
17. 10.1038/aps.2017.4210.1038/aps.2017.42 ↗
18. 10.1021/nn505554y10.1021/nn505554y ↗
19. 10.1002/adma.20160121410.1002/adma.201601214 ↗
20. 10.1038/natrevmats.2016.7510.1038/natrevmats.2016.75 ↗
21. 10.1021/ja410433b10.1021/ja410433b ↗
22. 10.1038/nrd229010.1038/nrd2290 ↗
23. 10.1038/793310.1038/7933 ↗
24. 10.1038/nrclinonc.2013.12310.1038/nrclinonc.2013.123 ↗
25. 10.1021/acsnano.5b0356910.1021/acsnano.5b03569 ↗
26. 10.1038/nphoton.2014.10710.1038/nphoton.2014.107 ↗
27. 10.1016/j.neuroimage.2012.01.12410.1016/j.neuroimage.2012.01.124 ↗
28. 10.1038/nnano.2016.24810.1038/nnano.2016.248 ↗
29. 10.1038/ncomms1094710.1038/ncomms10947 ↗
30. 10.1039/c3cs60038f10.1039/c3cs60038f ↗
31. 10.1002/chem.20070073410.1002/chem.200700734 ↗
32. 10.1039/b007187k10.1039/b007187k ↗
33. 10.1039/C4CS00334A10.1039/C4CS00334A ↗
34. 10.1021/acs.analchem.6b0042210.1021/acs.analchem.6b00422 ↗
35. 10.1002/anie.20170237610.1002/anie.201702376 ↗
36. 10.1002/adma.20160010610.1002/adma.201600106 ↗
37. 10.1002/adfm.20150108110.1002/adfm.201501081 ↗
38. 10.1002/adma.20160119110.1002/adma.201601191 ↗
39. 10.1039/C6SC01251E10.1039/C6SC01251E ↗
40. 10.1038/nnano.2013.30210.1038/nnano.2013.302 ↗
41. 10.1021/ma062246f10.1021/ma062246f ↗
42. 10.1002/adma.20160112810.1002/adma.201601128 ↗
43. 10.1523/jneurosci.1220-13.201310.1523/jneurosci.1220-13.2013 ↗
44. 10.1007/s00213-006-0441-010.1007/s00213-006-0441-0 ↗
45. 10.1016/j.neuro.2014.09.00210.1016/j.neuro.2014.09.002 ↗
46. 10.1124/jpet.107.12161610.1124/jpet.107.121616 ↗
47. 10.1038/nrn129810.1038/nrn1298 ↗
48. 10.1002/adma.20130520610.1002/adma.201305206 ↗
49. 10.1039/C4CC09685A10.1039/C4CC09685A ↗
50. 10.1093/jn/137.6.1539S10.1093/jn/137.6.1539S ↗
51. 10.1021/am201508d10.1021/am201508d ↗
52. 10.1039/C3AN01592K10.1039/C3AN01592K ↗
53. 10.1016/j.colsurfa.2014.01.00510.1016/j.colsurfa.2014.01.005 ↗
54. 10.1039/c3an00845b10.1039/c3an00845b ↗
55. 10.1161/circulationaha.106.68230210.1161/circulationaha.106.682302 ↗
56. 10.1146/annurev-pharmtox-010611-13462510.1146/annurev-pharmtox-010611-134625 ↗
57. 10.1038/nn157910.1038/nn1579 ↗
58. 10.1016/j.neuron.2008.01.02210.1016/j.neuron.2008.01.022 ↗
59. 10.1016/j.bbr.2009.01.01610.1016/j.bbr.2009.01.016 ↗
60. 10.1073/pnas.85.14.527410.1073/pnas.85.14.5274 ↗
61. 10.1002/syn.89016010510.1002/syn.890160105 ↗
62. 10.1111/j.1471-4159.1982.tb11487.x10.1111/j.1471-4159.1982.tb11487.x ↗