journal article·2023Open access

Nanoscale insights into the local structural rearrangements of amyloid-β induced by bexarotene

Kamila Sofińska, Piotr Batys, Adrian Cernescu, Dhiman Ghosh, Katarzyna Skirlińska-Nosek, Jakub Barbasz, Sara Seweryn, Natalia Wilkosz, Roland Riek, Marek Szymoński, Ewelina Lipiec

Nanoscale· Volume 15· Issue 35

Abstract

A better understanding of the abnormal protein aggregation and the effect of anti-aggregation agents on the fibrillation pathways and the secondary structure of aggregates can determine strategies for the early treatment of dementia. Herein, we present a combination of experimental and theoretical studies providing new insights into the influence of the anti-aggregation drug bexarotene on the secondary structure of individual amyloid-β aggregates and its primary aggregation. The molecular rearrangements and the spatial distribution of β-sheets within individual aggregates were monitored at the nanoscale with infrared nanospectroscopy. We observed that bexarotene limits the parallel β-sheets formation, known to be highly abundant in fibrils at later phases of the amyloid-β aggregation composed of in-register cross-β structure. Moreover, we applied molecular dynamics to provide molecular-level insights into the investigated system. Both theoretical and experimental results revealed that bexarotene slows down the protein aggregation process via steric effects, largely prohibiting the antiparallel to parallel β-sheet rearrangement. We also found that bexarotene interacts not only via the single hydrogen bond formation with the peptide backbone but also with the amino acid side residue via a hydrophobic effect. The studied model of the drug-amyloid-β interaction contributes to a better understanding of the inhibition mechanism of the amyloid-β aggregation by the small molecule drugs. However, our nanoscale findings need to meet in vivo research requiring different analytical approaches.
Source: europepmc · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Alzheimer's disease research and treatments · Computational Drug Discovery Methods · Protein Interaction Studies and Fluorescence Analysis

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

Affiliations

Jagiellonian University, Faculty of Physics, Astronomy and Applied Computer Science, M. Smoluchowski Institute of Physics, Łojasiewicza 11, 30-348 Krakow, Poland

Jerzy Haber Institute of Catalysis and Surface Chemistry, Polish Academy of Sciences, Niezapominajek 8, 30-239 Krakow, Poland

Attocube Systems AG, Eglfinger Weg 2, 85540 Haar, Germany

ETH Zürich, Laboratory of Physical Chemistry, 8093 Zürich, Switzerland

Jagiellonian University, Doctoral School of Exact and Natural Sciences, Krakow, Poland

AGH University of Science and Technology, Faculty of Physics and Applied Computer Science, Reymonta 19, 30-059 Krakow, Poland

Funding

Polska Akademia Nauk · Infrastruktura PL-Grid · Narodowe Centrum Nauki

References (55)

Show source-provided references
1. Winblad · Lancet Neurol. · 2016 · 15 · 45510.1016/S1474-4422(16)00062-4 ↗
2. Congdon · Nat. Rev. Neurol. · 2018 · 14 · 39910.1038/s41582-018-0013-z ↗
3. Nguyen · Chem. Rev. · 2021 · 121 · 254510.1021/acs.chemrev.0c01122 ↗
4. Bieschke · Nat. Chem. Biol. · 2012 · 8 · 9310.1038/nchembio.719 ↗
5. Chen · Acta Pharmacol. Sin. · 2017 · 38 · 120510.1038/aps.2017.28 ↗
6. Javed · Nat. Commun. · 2019 · 10 · 110.1038/s41467-019-11762-0 ↗
7. Valensin · Coord. Chem. Rev. · 2012 · 256 · 235710.1016/j.ccr.2012.04.010 ↗
8. Gao · Nat. Commun. · 2014 · 5 · 1
9. Wiessner · J. Neurosci. · 2011 · 31 · 932310.1523/JNEUROSCI.0293-11.2011 ↗
10. Vandenberghe · Alzheimer's Dementia · 2017 · 3 · 1010.1016/j.trci.2016.12.003 ↗
11. Bouter · Acta Neuropathol. · 2015 · 130 · 71310.1007/s00401-015-1489-x ↗
12. Mably · Neurobiol. Dis. · 2015 · 82 · 37210.1016/j.nbd.2015.07.008 ↗
13. Honig · N. Engl. J. Med. · 2018 · 378 · 32110.1056/NEJMoa1705971 ↗
14. Kennedy · Sci. Transl. Med. · 2016 · 8 · 363ra15010.1126/scitranslmed.aad9704 ↗
15. Eketjäll · J. Alzheimer's Dis. · 2016 · 50 · 110910.3233/JAD-150834 ↗
16. Arnold · Nat. Rev. Neurol. · 2018 · 14 · 16810.1038/nrneurol.2017.185 ↗
17. Sahoo · Chem. Commun. · 2020 · 56 · 462710.1039/D0CC01551B ↗
18. Habchi · Sci. Adv. · 2016 · 2 · e150124410.1126/sciadv.1501244 ↗
19. Bomben · Neurobiol. Aging · 2014 · 35 · 209110.1016/j.neurobiolaging.2014.03.029 ↗
20. Cramer · Science · 2012 · 335 · 150310.1126/science.1217697 ↗
21. Price · Science · 2013 · 340 · 92410.1126/science.1234089 ↗
22. Fitz · Science · 2013 · 340 · 92410.1126/science.1235809 ↗
23. Landreth · Science · 2013 · 340 · 92410.1126/science.1234114 ↗
24. Sahoo · J. Mol. Biol. · 2020 · 432 · 102010.1016/j.jmb.2019.12.005 ↗
25. Fantini · ACS Chem. Neurosci. · 2014 · 5 · 21610.1021/cn400183w ↗
26. Huy · ACS Chem. Neurosci. · 2017 · 8 · 196010.1021/acschemneuro.7b00107 ↗
27. Lee · J. Chromatogr. B: Anal. Technol. Biomed. Life Sci. · 2017 · 1040 · 7310.1016/j.jchromb.2016.11.024 ↗
28. Ren · Pharmaceutics · 2020 · 12 · 110.3390/pharmaceutics12100906 ↗
29. Farol · Expert Rev. Anticancer Ther. · 2004 · 4 · 18010.1586/14737140.4.2.180 ↗
30. Tousi · Neuropsychiatr. Dis. Treat. · 2015 · 11 · 31110.2147/NDT.S61309 ↗
31. Chen · Eur. J. Pharm. Biopharm. · 2014 · 87 · 16010.1016/j.ejpb.2013.12.005 ↗
32. Wang · Drug Dev. Ind. Pharm. · 2017 · 43 · 13210.1080/03639045.2016.1225752 ↗
33. Li · Drug Delivery · 2016 · 23 · 7910.3109/10717544.2014.904455 ↗
34. Lipiec · Angew. Chem · 2018 · 130 · 865510.1002/ange.201803234 ↗
35. Bleiholder · Nat. Chem. · 2011 · 3 · 17210.1038/nchem.945 ↗
36. Eanes · J. Histochem. Cytochem. · 1968 · 16 · 67310.1177/16.11.673 ↗
37. Greenfield · Nat. Protoc. · 2007 · 1 · 287610.1038/nprot.2006.202 ↗
38. Barth · Biochim. Biophys. Acta, Bioenerg. · 2007 · 1767 · 107310.1016/j.bbabio.2007.06.004 ↗
39. Meiler · J. Biomol. NMR · 2003 · 26 · 2510.1023/A:1023060720156 ↗
40. Bertini · J. Am. Chem. Soc. · 2011 · 133 · 1601310.1021/ja2035859 ↗
41. Bonhommeau · Angew. Chem., Int. Ed. · 2017 · 56 · 177110.1002/anie.201610399 ↗
42. Galante · Int. J. Biochem. Cell Biol. · 2016 · 79 · 26110.1016/j.biocel.2016.08.037 ↗
43. Henry · Nanoscale · 2018 · 10 · 93610.1039/C7NR07489A ↗
44. Ruggeri · Nat. Commun. · 2021 · 12 · 110.1038/s41467-020-20782-0 ↗
45. Wilkosz · Molecules · 2020 · 25 · 249810.3390/molecules25112498 ↗
46. Gremer · Science · 2017 · 358 · 11610.1126/science.aao2825 ↗
47. Morgan · Biophys. Chem. · 2022 · 281 · 10671110.1016/j.bpc.2021.106711 ↗
48. Lipiec · Angew. Chem. · 2021 · 133 · 459510.1002/ange.202010331 ↗
49. Shashilov · Methods · 2010 · 52 · 2310.1016/j.ymeth.2010.05.004 ↗
50. Hollingsworth · Biomol. Concepts · 2010 · 1 · 27110.1515/bmc.2010.022 ↗
51. Norrild · Biophys. Chem. · 2021 · 271 · 10654910.1016/j.bpc.2021.106549 ↗
52. Kotler · Chem. Soc. Rev. · 2014 · 43 · 669210.1039/C3CS60431D ↗
53. Fatafta · Biophys. Chem. · 2022 · 280 · 10670010.1016/j.bpc.2021.106700 ↗
54. Fridolf · Biophys. Chem. · 2023 · 293 · 10693410.1016/j.bpc.2022.106934 ↗
55. Cox · Biochemistry · 2020 · 59 · 224910.1021/acs.biochem.0c00328 ↗