Microscopic Viscosity of Neuronal Plasma Membranes Measured Using Fluorescent Molecular Rotors: Effects of Oxidative Stress and Neuroprotection
Source abstract
Abstract
Molecular mobility in neuronal plasma membranes is a crucial factor in brain function. Microscopic viscosity is an important parameter that determines molecular mobility. This study presents the first direct measurement of the microviscosity of plasma membranes of live neurons. Microviscosity maps were obtained using fluorescence lifetime imaging of environment-sensing dyes termed "molecular rotors". Neurons were investigated both in the basal state and following common neurodegenerative stimuli, excitotoxicity, or oxidative stress. Both types of neurotoxic challenges induced microviscosity decrease in cultured neurons, and oxidant-induced membrane fluidification was counteracted by the wide-spectrum neuroprotectant, the H3 peptide. These results provide new insights into molecular mobility in neuronal membranes, paramount for basic brain function, and suggest that preservation of membrane stability may be an important aspect of neuroprotection in brain insults and neurodegenerative disorders.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Lipid Membrane Structure and Behavior · Molecular Sensors and Ion Detection · Neuroscience and Neuropharmacology Research
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Centre for Neuroinflammation and Neurodegeneration, Imperial College London, Hammersmith Hospital Campus, Burlington Danes Building, 160 Du Cane Road, London W12 0NN, U.K.
Funding
Imperial College London · Engineering and Physical Sciences Research Council · Michael J. Fox Foundation for Parkinson's Research
References (75)
Show source-provided references
1. Lodish H. · 2000
2. 10.1038/nrm233010.1038/nrm2330 ↗
3. 10.1186/1471-2202-11-14010.1186/1471-2202-11-140 ↗
4. 10.1038/ncomms951210.1038/ncomms9512 ↗
5. 10.1016/s0006-3495(96)79577-210.1016/s0006-3495(96)79577-2 ↗
6. 10.1523/jneurosci.4445-08.200910.1523/jneurosci.4445-08.2009 ↗
7. 10.1126/science.115208910.1126/science.1152089 ↗
8. 10.1016/j.chemphyslip.2016.02.00410.1016/j.chemphyslip.2016.02.004 ↗
9. 10.1073/pnas.061135710410.1073/pnas.0611357104 ↗
10. 10.1038/nprot.2012.05910.1038/nprot.2012.059 ↗
11. 10.1039/c8sm01633j10.1039/c8sm01633j ↗
12. Eeman M. · 2010 · 14 · 719
13. 10.1039/c2cp41674c10.1039/c2cp41674c ↗
14. 10.1186/1754-1611-4-1110.1186/1754-1611-4-11 ↗
15. 10.1021/acs.accounts.6b0051710.1021/acs.accounts.6b00517 ↗
16. 10.1039/c3cc47530a10.1039/c3cc47530a ↗
17. 10.1039/c6sc05369f10.1039/c6sc05369f ↗
18. 10.1039/c6cc05954f10.1039/c6cc05954f ↗
19. 10.1038/srep4109710.1038/srep41097 ↗
20. 10.1021/ja800570d10.1021/ja800570d ↗
21. 10.1021/acsnano.8b0017710.1021/acsnano.8b00177 ↗
22. 10.1016/j.biomaterials.2017.06.00910.1016/j.biomaterials.2017.06.009 ↗
23. 10.1021/ja403851p10.1021/ja403851p ↗
24. 10.1021/ja311688g10.1021/ja311688g ↗
25. 10.3390/s1609139710.3390/s16091397 ↗
26. 10.1039/c4cc04915b10.1039/c4cc04915b ↗
27. 10.1074/jbc.m10969420010.1074/jbc.m109694200 ↗
28. 10.1074/jbc.m00705820010.1074/jbc.m007058200 ↗
29. Loew L. M. · 1988
30. 10.1023/a:102052871662110.1023/a:1020528716621 ↗
31. 10.1038/s41557-018-0127-310.1038/s41557-018-0127-3 ↗
32. 10.1021/ja510701810.1021/ja5107018 ↗
33. 10.1021/acs.chemrev.9b0027910.1021/acs.chemrev.9b00279 ↗
34. 10.1039/c7cp03571c10.1039/c7cp03571c ↗
35. 10.1039/c5cp01937k10.1039/c5cp01937k ↗
36. 10.1371/journal.pone.021116510.1371/journal.pone.0211165 ↗
37. 10.1007/s11064-017-2463-x10.1007/s11064-017-2463-x ↗
38. 10.1186/1471-2164-15-115410.1186/1471-2164-15-1154 ↗
39. 10.1186/s13024-017-0149-010.1186/s13024-017-0149-0 ↗
40. 10.3233/jad-2010-09136310.3233/jad-2010-091363 ↗
41. 10.1242/jcs.00137010.1242/jcs.001370 ↗
42. 10.1073/pnas.233610210010.1073/pnas.2336102100 ↗
43. 10.1038/srep4202210.1038/srep42022 ↗
44. 10.1016/j.bpj.2014.12.05710.1016/j.bpj.2014.12.057 ↗
45. 10.1146/annurev-neuro-062111-15045510.1146/annurev-neuro-062111-150455 ↗
46. 10.3389/neuro.01.1.1.010.200710.3389/neuro.01.1.1.010.2007 ↗
47. 10.1126/science.111481610.1126/science.1114816 ↗
48. 10.1074/jbc.m114.57107510.1074/jbc.m114.571075 ↗
49. 10.1016/j.ceb.2018.02.00410.1016/j.ceb.2018.02.004 ↗
50. 10.1016/j.neuron.2017.09.05510.1016/j.neuron.2017.09.055 ↗
51. 10.1038/srep1661110.1038/srep16611 ↗
52. 10.1039/c3cp51953h10.1039/c3cp51953h ↗
53. 10.1097/01.wcb.0000111614.19196.0410.1097/01.wcb.0000111614.19196.04 ↗
54. 10.3390/ijms1912382410.3390/ijms19123824 ↗
55. 10.1038/s41583-019-0132-610.1038/s41583-019-0132-6 ↗
56. 10.1172/jci12733010.1172/jci127330 ↗
57. 10.1038/s41419-019-1731-x10.1038/s41419-019-1731-x ↗
58. 10.1073/pnas.081066610610.1073/pnas.0810666106 ↗
59. 10.1016/j.neuron.2017.07.03810.1016/j.neuron.2017.07.038 ↗
60. 10.1038/ncomms220210.1038/ncomms2202 ↗
61. 10.1016/0306-4522(85)90299-410.1016/0306-4522(85)90299-4 ↗
62. 10.1016/j.neubiorev.2013.10.01110.1016/j.neubiorev.2013.10.011 ↗
63. 10.1007/s12035-016-9821-610.1007/s12035-016-9821-6 ↗
64. 10.1523/jneurosci.2027-15.201610.1523/jneurosci.2027-15.2016 ↗
65. 10.1002/syn.2186910.1002/syn.21869 ↗
66. 10.1016/j.celrep.2018.12.03210.1016/j.celrep.2018.12.032 ↗
67. 10.1042/an2011003110.1042/an20110031 ↗
68. 10.1073/pnas.181433511610.1073/pnas.1814335116 ↗
69. 10.1016/j.celrep.2019.02.02710.1016/j.celrep.2019.02.027 ↗
70. 10.1073/pnas.182133211610.1073/pnas.1821332116 ↗
71. 10.1523/jneurosci.22-05-01738.200210.1523/jneurosci.22-05-01738.2002 ↗
72. 10.1002/chem.20160192510.1002/chem.201601925 ↗
73. 10.1021/acs.jpclett.9b0066810.1021/acs.jpclett.9b00668 ↗
74. 10.2119/molmed.2012.0024810.2119/molmed.2012.00248 ↗
75. 10.7150/thno.2227410.7150/thno.22274 ↗