journal article·2022-10Open access

Small Extracellular Vesicles Secreted by Nigrostriatal Astrocytes Rescue Cell Death and Preserve Mitochondrial Function in Parkinson's Disease

Loredana Leggio, Francesca L'Episcopo, Andrea Magrì, María José Ulloa‐Navas, Greta Paternò, Silvia Vivarelli, Carlos A. P. Bastos, Cataldo Tirolo, Nunzio Testa, Salvatore Caniglia, Pierpaolo Risiglione, Fabrizio Pappalardo, Alessandro Serra, Patricia García‐Tárraga, Nuno Faria, Jonathan J. Powell, Luca Peruzzotti‐Jametti, Stefano Pluchino, José Manuel García‐Verdugo, Angela Messina, Bianca Marchetti, Nunzio Iraci

Advanced Healthcare Materials· Volume 11· Issue 20

Abstract

Abstract Extracellular vesicles (EVs) are emerging as powerful players in cell‐to‐cell communication both in healthy and diseased brain. In Parkinson's disease (PD)—characterized by selective dopaminergic neuron death in ventral midbrain (VMB) and degeneration of their terminals in striatum (STR)—astrocytes exert dual harmful/protective functions, with mechanisms not fully elucidated. Here, this study shows that astrocytes from the VMB‐, STR‐, and VMB/STR‐depleted brains release a population of small EVs in a region‐specific manner. Interestingly, VMB‐astrocytes secreted the highest rate of EVs, which is further exclusively increased in response to CCL3, a chemokine that promotes robust dopaminergic neuroprotection in different PD models. The neuroprotective potential of nigrostriatal astrocyte‐EVs is investigated in differentiated versus undifferentiated SH‐SY5Y cells exposed to oxidative stress and mitochondrial toxicity. EVs from both VMB‐ and STR‐astrocytes counteract H2O2‐induced caspase‐3 activation specifically in differentiated cells, with EVs from CCL3‐treated astrocytes showing a higher protective effect. High resolution respirometry further reveals that nigrostriatal astrocyte‐EVs rescue neuronal mitochondrial complex I function impaired by the neurotoxin MPP+. Notably, only EVs from VMB‐astrocyte fully restore ATP production, again specifically in differentiated SH‐SY5Y. These results highlight a regional diversity in the nigrostriatal system for the secretion and activities of astrocyte‐EVs, with neuroprotective implications for PD.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Extracellular vesicles in disease · Neuroinflammation and Neurodegeneration Mechanisms · RNA regulation and disease

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

Affiliations

Department of Biomedical and Biotechnological Sciences University of Catania Catania 95123 Italy

Oasi Research Institute‐IRCCS Troina 94018 Italy

Department of Biological, Geological and Environmental Sciences University of Catania Catania 95125 Italy

Laboratory of Compared Neurobiology University of Valencia‐CIBERNED Paterna 46980 Spain

Department of Neuroscience Mayo Clinic Jacksonville FL 32257 USA

Department of Veterinary Medicine University of Cambridge Cambridge CB3 0ES UK

Luminex B.V. ‘s‐Hertogenbosch 5115 MV The Netherlands

Department of Clinical Neurosciences University of Cambridge Cambridge CB2 0QQ UK

References (100+)

Show source-provided references
1. 10.3402/jev.v3.2464110.3402/jev.v3.24641 ↗
2. 10.1128/IAI.06014-1110.1128/IAI.06014-11 ↗
3. 10.1007/s00709-015-0887-110.1007/s00709-015-0887-1 ↗
4. 10.1126/science.aau697710.1126/science.aau6977 ↗
5. 10.1016/j.cell.2019.02.02910.1016/j.cell.2019.02.029 ↗
6. 10.1080/20013078.2018.153575010.1080/20013078.2018.1535750 ↗
7. 10.1002/jev2.1218210.1002/jev2.12182 ↗
8. 10.3390/ijms1702017110.3390/ijms17020171 ↗
9. 10.1038/nprot.2012.13110.1038/nprot.2012.131 ↗
10. 10.1038/s41467-020-14977-810.1038/s41467-020-14977-8 ↗
11. 10.1038/s41565-021-00931-210.1038/s41565-021-00931-2 ↗
12. 10.1038/s41580-022-00460-310.1038/s41580-022-00460-3 ↗
13. 10.3390/ijms1812269810.3390/ijms18122698 ↗
14. 10.1007/s00401-014-1314-y10.1007/s00401-014-1314-y ↗
15. 10.1038/s41467-018-03733-810.1038/s41467-018-03733-8 ↗
16. 10.1186/s13287-015-0232-910.1186/s13287-015-0232-9 ↗
17. 10.1016/j.addr.2021.04.02710.1016/j.addr.2021.04.027 ↗
18. 10.3389/fnagi.2018.0043810.3389/fnagi.2018.00438 ↗
19. 10.1186/s40478-017-0492-y10.1186/s40478-017-0492-y ↗
20. 10.1002/adhm.20200073110.1002/adhm.202000731 ↗
21. 10.1080/20013078.2019.164702710.1080/20013078.2019.1647027 ↗
22. 10.1016/j.jcyt.2014.07.01310.1016/j.jcyt.2014.07.013 ↗
23. 10.1002/sctm.18-016210.1002/sctm.18-0162 ↗
24. 10.1371/journal.pone.006185210.1371/journal.pone.0061852 ↗
25. 10.1016/j.jconrel.2015.03.03310.1016/j.jconrel.2015.03.033 ↗
26. 10.1038/s41573-021-00139-y10.1038/s41573-021-00139-y ↗
27. 10.3390/cells904085110.3390/cells9040851 ↗
28. 10.1080/20013078.2017.132473010.1080/20013078.2017.1324730 ↗
29. 10.1039/D1NR05517H10.1039/D1NR05517H ↗
30. 10.1021/acssensors.8b0156410.1021/acssensors.8b01564 ↗
31. 10.1016/j.cell.2020.07.00910.1016/j.cell.2020.07.009 ↗
32. 10.1038/s41556-018-0040-410.1038/s41556-018-0040-4 ↗
33. 10.1080/20013078.2017.130567710.1080/20013078.2017.1305677 ↗
34. 10.1038/nrm.2017.12510.1038/nrm.2017.125 ↗
35. 10.1007/s00401-018-1868-110.1007/s00401-018-1868-1 ↗
36. 10.1007/s10571-015-0294-310.1007/s10571-015-0294-3 ↗
37. 10.1186/1750-1326-7-4210.1186/1750-1326-7-42 ↗
38. 10.1016/j.ebiom.2018.11.02610.1016/j.ebiom.2018.11.026 ↗
39. 10.3390/jcm906194110.3390/jcm9061941 ↗
40. 10.3389/fnagi.2018.0001210.3389/fnagi.2018.00012 ↗
41. 10.1016/j.tips.2005.08.00710.1016/j.tips.2005.08.007 ↗
42. 10.1007/s12035-017-0529-z10.1007/s12035-017-0529-z ↗
43. 10.1002/stem.282710.1002/stem.2827 ↗
44. 10.1111/acel.1310110.1111/acel.13101 ↗
45. 10.2174/18715271079129263910.2174/187152710791292639 ↗
46. 10.1002/mds.2175110.1002/mds.21751 ↗
47. 10.1007/s00401-009-0619-810.1007/s00401-009-0619-8 ↗
48. 10.1016/j.tins.2017.04.00110.1016/j.tins.2017.04.001 ↗
49. 10.1016/j.neuron.2013.12.03410.1016/j.neuron.2013.12.034 ↗
50. 10.31887/DCNS.2009.11.3/mbelanger10.31887/DCNS.2009.11.3/mbelanger ↗
51. 10.1073/pnas.081336110610.1073/pnas.0813361106 ↗
52. 10.1002/mds.2503210.1002/mds.25032 ↗
53. 10.1016/S0733-8619(05)70259-010.1016/S0733-8619(05)70259-0 ↗
54. 10.1212/WNL.51.2_Suppl_2.S210.1212/WNL.51.2_Suppl_2.S2 ↗
55. 10.1016/j.neuron.2013.09.00410.1016/j.neuron.2013.09.004 ↗
56. 10.1016/S0140-6736(14)61010-210.1016/S0140-6736(14)61010-2 ↗
57. 10.1002/mds.2753410.1002/mds.27534 ↗
58. 10.1016/j.redox.2020.10169510.1016/j.redox.2020.101695 ↗
59. 10.1016/j.tips.2012.07.00210.1016/j.tips.2012.07.002 ↗
60. 10.1016/S1353-8020(11)70065-710.1016/S1353-8020(11)70065-7 ↗
61. 10.1016/j.nbd.2012.06.02510.1016/j.nbd.2012.06.025 ↗
62. 10.1002/mds.2807510.1002/mds.28075 ↗
63. 10.1016/j.brainresrev.2004.12.03010.1016/j.brainresrev.2004.12.030 ↗
64. 10.1016/S1474-4422(07)70327-710.1016/S1474-4422(07)70327-7 ↗
65. 10.1038/ncomms618110.1038/ncomms6181 ↗
66. 10.1016/j.neuron.2016.03.03810.1016/j.neuron.2016.03.038 ↗
67. 10.1016/j.pneurobio.2013.04.00410.1016/j.pneurobio.2013.04.004 ↗
68. Blesa J. · Front. Neuroanat. · 2015 · 9
69. 10.1111/joim.1202910.1111/joim.12029 ↗
70. 10.3389/fnana.2014.0015510.3389/fnana.2014.00155 ↗
71. 10.1196/annals.1356.02310.1196/annals.1356.023 ↗
72. 10.1016/j.neuroscience.2005.07.06010.1016/j.neuroscience.2005.07.060 ↗
73. 10.1016/j.redox.2020.10166410.1016/j.redox.2020.101664 ↗
74. 10.1002/ana.41032071510.1002/ana.410320715 ↗
75. 10.1096/fj.03-0501fje10.1096/fj.03-0501fje ↗
76. 10.1038/s41418-018-0150-310.1038/s41418-018-0150-3 ↗
77. 10.1002/glia.2387710.1002/glia.23877 ↗
78. 10.1016/j.celrep.2016.12.01110.1016/j.celrep.2016.12.011 ↗
79. 10.3390/ijms2003059810.3390/ijms20030598 ↗
80. 10.1523/JNEUROSCI.3956-16.201710.1523/JNEUROSCI.3956-16.2017 ↗
81. 10.1016/j.it.2020.07.00410.1016/j.it.2020.07.004 ↗
82. 10.1038/nrn.2016.15910.1038/nrn.2016.159 ↗
83. 10.1016/j.neuron.2017.06.02010.1016/j.neuron.2017.06.020 ↗
84. 10.1016/j.neuron.2017.06.02910.1016/j.neuron.2017.06.029 ↗
85. 10.1038/s41386-018-0151-410.1038/s41386-018-0151-4 ↗
86. 10.1101/gad.188326.11210.1101/gad.188326.112 ↗
87. 10.1002/glia.2362710.1002/glia.23627 ↗
88. 10.1073/pnas.180016511510.1073/pnas.1800165115 ↗
89. 10.3389/fnagi.2020.0002410.3389/fnagi.2020.00024 ↗
90. 10.3390/cells912262310.3390/cells9122623 ↗
91. 10.1016/j.neuroscience.2019.07.03510.1016/j.neuroscience.2019.07.035 ↗
92. 10.1111/nyas.1280510.1111/nyas.12805 ↗
93. 10.1016/j.molmed.2012.12.00110.1016/j.molmed.2012.12.001 ↗
94. 10.1016/j.nbd.2010.10.02310.1016/j.nbd.2010.10.023 ↗
95. 10.1523/JNEUROSCI.5259-11.201210.1523/JNEUROSCI.5259-11.2012 ↗
96. 10.1002/stem.170810.1002/stem.1708 ↗
97. 10.1016/j.molcel.2014.08.02010.1016/j.molcel.2014.08.020 ↗
98. 10.1038/nchembio.242210.1038/nchembio.2422 ↗
99. 10.1016/j.febslet.2004.04.10010.1016/j.febslet.2004.04.100 ↗
100. 10.1016/j.brainresrev.2004.07.02110.1016/j.brainresrev.2004.07.021 ↗