journal article·2025-09-16

Nanoparticles Induce Protein Corona Conformational Change to Reshape Intracellular Interactome for Microglial Polarization

Xin-Yu Xiao, Qian-Wei Luo, Wang-Shu Li, Ze-Kun Chen, Zhuo Yang, Ya-Xuan Zhu, Mu-Rong Lei, Fang-Fang Zhuo, Ming Yu, Tian-Tian Wei, Hong-Wei Jin, Zhong-Yao Li, Zhi-Yuan Lu, Zhu-Qing Zhang, Hua Wang, Yong-Cheng Wang, Qing Xia, Wei Yu, Bo Han, Peng-Fei Tu, Ke-Wu Zeng

ACS Nano· Volume 19· Issue 36
Publisher page

Abstract

Nanoparticles bind to proteins in cells selectively and form a protein corona around them. However, the mechanisms of protein conformational changes underlying the interactions between nanoparticles and protein coronas remain poorly understood. In this study, we prepared small molecule self-assembled nanoparticles (Aloin NPs) as a research tool to investigate the allosteric mechanism of protein coronas. Aloin NPs showed a propensity to capture multiple proteins in cells. In particular, Aloin NPs specifically bound to myotrophin (MPTN) as a major protein corona through a multivalent hydrogen bond-mediated nanoprotein interface. Molecular modeling and hydrogen-deuterium exchange mass spectrometry (MS) demonstrated that Aloin NPs promoted a conformational rearrangement of MPTN via a 'finger-unclasping' pattern. We then adapted the APEX2 proximity labeling strategy to investigate the conformation-dependent changes in the MPTN interactome and identified peroxiredoxin 6 (PRDX6) as a key substrate protein of MPTN in microglia. Additionally, we observed that MPTN conformational change-dependent PRDX6 release protected the mitochondrial membrane by reducing reactive oxygen species. Consequently, Aloin NPs effectively inhibited the release of mitochondrial DNA to block the downstream cGAS-STING signaling pathway, thereby reprogramming microglial polarization. In translational medicine, Aloin NPs play a role in protecting neurons from microglia-induced inflammatory injury with no significant adverse effects, ultimately improving Parkinson's disease-associated symptoms. Taken together, our study provides insights into the molecular mechanisms by which nanoparticles regulate the conformational change of protein coronas for human disease therapy.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: S100 Proteins and Annexins · Adenosine and Purinergic Signaling · interferon and immune responses

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

Affiliations

State Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences

Peking University

College of Life Sciences

University of Chinese Academy of Sciences

School of Pharmaceutical Sciences & Institute of Materia Medica

Shandong First Medical University & Shandong Academy of Medical Sciences

Key Laboratory of Anti-Inflammatory and Immune Medicine, Ministry of Education

Anhui Medical University

Biology Institute, Qilu University of Technology (Shandong Academy of Sciences), 28789 East Jingshi Road, Ji’nan 250103, Shandong Province, PR China

School of Pharmacy/Key Laboratory of Xinjiang Phytomedicine Resource and Utilization

Shihezi University

Funding

China Postdoctoral Science Foundation · Jinan New 20 Policies for Higher Education Funding · Natural Science Foundation of Shandong Province (Joint Foundation for Innovation and Development) · Beijing Municipal Natural Science Foundation-Key Research Project of the Daxing · the Special Fund for Taishan Scholars Project in Shandong Province · National Natural Sciences Foundation of China

References (70)

Show source-provided references
1. 10.1016/j.ijbiomac.2021.01.15210.1016/j.ijbiomac.2021.01.152 ↗
2. 10.1016/j.ijpharm.2018.10.01110.1016/j.ijpharm.2018.10.011 ↗
3. 10.1016/j.biopha.2021.11154110.1016/j.biopha.2021.111541 ↗
4. 10.1038/s41578-023-00552-210.1038/s41578-023-00552-2 ↗
5. 10.1002/wnan.198210.1002/wnan.1982 ↗
6. 10.1016/j.ijbiomac.2020.12.10810.1016/j.ijbiomac.2020.12.108 ↗
7. 10.2147/IJN.S25480810.2147/IJN.S254808 ↗
8. 10.1021/ja042898o10.1021/ja042898o ↗
9. 10.1002/smll.20110151110.1002/smll.201101511 ↗
10. 10.1166/jbn.2020.295810.1166/jbn.2020.2958 ↗
11. 10.1007/978-3-319-72041-8_1110.1007/978-3-319-72041-8_11 ↗
12. 10.1021/acs.bioconjchem.9b0034810.1021/acs.bioconjchem.9b00348 ↗
13. 10.3389/fbioe.2020.0021010.3389/fbioe.2020.00210 ↗
14. 10.1016/j.ijbiomac.2022.03.10510.1016/j.ijbiomac.2022.03.105 ↗
15. 10.1073/pnas.220036311910.1073/pnas.2200363119 ↗
16. 10.1016/j.tibs.2023.12.00510.1016/j.tibs.2023.12.005 ↗
17. 10.1038/s41569-024-01054-610.1038/s41569-024-01054-6 ↗
18. 10.1186/s12964-023-01310-110.1186/s12964-023-01310-1 ↗
19. 10.1038/s41596-020-0365-x10.1038/s41596-020-0365-x ↗
20. 10.1016/j.xplc.2020.10013710.1016/j.xplc.2020.100137 ↗
21. 10.3390/cells1318152710.3390/cells13181527 ↗
22. 10.3389/fnagi.2022.81534710.3389/fnagi.2022.815347 ↗
23. 10.1007/s12035-014-9070-510.1007/s12035-014-9070-5 ↗
24. 10.1038/aps.2016.16210.1038/aps.2016.162 ↗
25. 10.1016/j.arr.2023.10216010.1016/j.arr.2023.102160 ↗
26. 10.1111/bph.1313910.1111/bph.13139 ↗
27. 10.1016/j.heliyon.2023.e1471310.1016/j.heliyon.2023.e14713 ↗
28. 10.1016/j.jphotobiol.2014.02.01910.1016/j.jphotobiol.2014.02.019 ↗
29. 10.1038/s41598-024-67397-910.1038/s41598-024-67397-9 ↗
30. 10.1016/j.ejmcr.2024.10013510.1016/j.ejmcr.2024.100135 ↗
31. 10.1186/s13065-020-0659-710.1186/s13065-020-0659-7 ↗
32. 10.1080/14756366.2016.123556810.1080/14756366.2016.1235568 ↗
33. 10.1074/jbc.271.5.281210.1074/jbc.271.5.2812 ↗
34. 10.1074/jbc.M20293720010.1074/jbc.M202937200 ↗
35. 10.1186/1477-3155-11-2610.1186/1477-3155-11-26 ↗
36. 10.1021/nn901118710.1021/nn9011187 ↗
37. 10.1038/s41467-019-09601-310.1038/s41467-019-09601-3 ↗
38. 10.1002/smll.20220553110.1002/smll.202205531 ↗
39. 10.1038/s41565-022-01177-210.1038/s41565-022-01177-2 ↗
40. 10.3390/molecules19122058010.3390/molecules191220580 ↗
41. 10.1126/science.123059310.1126/science.1230593 ↗
42. 10.1186/1478-811X-11-3410.1186/1478-811X-11-34 ↗
43. 10.1089/ars.2010.341210.1089/ars.2010.3412 ↗
44. 10.1152/ajpcell.00229.201510.1152/ajpcell.00229.2015 ↗
45. 10.1016/j.bbrc.2020.02.17010.1016/j.bbrc.2020.02.170 ↗
46. 10.1038/s41586-019-1678-110.1038/s41586-019-1678-1 ↗
47. 10.1002/bies.20130008410.1002/bies.201300084 ↗
48. 10.1016/j.addr.2021.11408310.1016/j.addr.2021.114083 ↗
49. 10.1016/j.nantod.2021.10118410.1016/j.nantod.2021.101184 ↗
50. 10.1002/anie.20201179910.1002/anie.202011799 ↗
51. 10.1016/j.semcdb.2019.05.00410.1016/j.semcdb.2019.05.004 ↗
52. 10.1038/s41467-019-12470-510.1038/s41467-019-12470-5 ↗
53. 10.1038/s41467-020-20886-710.1038/s41467-020-20886-7 ↗
54. 10.1038/nnano.2012.20710.1038/nnano.2012.207 ↗
55. 10.1039/C1CS15233E10.1039/C1CS15233E ↗
56. 10.1073/pnas.080513510510.1073/pnas.0805135105 ↗
57. 10.1146/annurev-bioeng-071811-15012410.1146/annurev-bioeng-071811-150124 ↗
58. 10.1088/1748-605X/ad6dc710.1088/1748-605X/ad6dc7 ↗
59. 10.1016/j.jconrel.2004.08.03010.1016/j.jconrel.2004.08.030 ↗
60. 10.1016/j.ijbiomac.2021.04.16010.1016/j.ijbiomac.2021.04.160 ↗
61. 10.1016/j.brainresbull.2021.03.01010.1016/j.brainresbull.2021.03.010 ↗
62. 10.1016/j.cellsig.2024.11119510.1016/j.cellsig.2024.111195 ↗
63. 10.1007/s11064-023-03945-510.1007/s11064-023-03945-5 ↗
64. 10.1002/jcc.2122410.1002/jcc.21224 ↗
65. 10.1016/j.softx.2015.06.00110.1016/j.softx.2015.06.001 ↗
66. 10.1038/s41592-020-01022-110.1038/s41592-020-01022-1 ↗
67. 10.1002/anie.20191115810.1002/anie.201911158 ↗
68. 10.1111/bcp.1365110.1111/bcp.13651 ↗
69. 10.1007/s00228-020-02961-610.1007/s00228-020-02961-6 ↗
70. 10.1097/WNR.000000000000199710.1097/WNR.0000000000001997 ↗