journal article·2023-10Open access

Tuning Ligands Ratio Allows for Controlling Gold Nanocluster Conformation and Activating a Nonantimicrobial Thiol Fragrance for Effective Treatment of MRSA‐Induced Keratitis

Zeyang Pang, Ning Ren, Yujie Wu, Jie Qi, Fupin Hu, Yuan Guo, Yangzhouyun Xie, Dejian Zhou, Xingyu Jiang

Advanced Materials· Volume 35· Issue 40

Abstract

Abstract Bacterial keratitis is a serious ocular disease that affects millions of people worldwide each year, among which ≈25% are caused by Staphylococcus aureus. With the spread of bacterial resistance, refractory keratitis caused by methicillin‐resistant S. aureus (MRSA) affects ≈120 000–190 000 people annually and is a significant cause of infectious blindness. Atomically precise gold nanoclusters (GNCs) recently emerged as promising antibacterial agents; although how the GNC structure and capping ligands control the antibacterial properties remains largely unexplored. In this study, by adjusting the ratio of a “bulky” thiol fragrance to a linear zwitterionic ligand, the GNC conformation is transformed from Au25(SR)18 to Au23(SR)16 species, simultaneously converting both inactive thiol ligands into potent antibacterial nanomaterials. Surprisingly, mixed‐ligand capped Au23(SR)16 GNCs exhibit superior antibacterial potency compared to their monoligand counterparts. The optimal GNC is highly potent against MRSA, showing >1024‐fold lower minimum inhibitory concentration than the corresponding free ligands. Moreover, it displays excellent potency in treating MRSA‐induced keratitis in mice with greatly accelerated corneal recovery (by approximately ninefold). Thus, this study establishes a feasible method to synthesize antibacterial GNCs by adjusting the ligand ratio to control GNC conformation and active non‐antibacterial ligands, thereby greatly increasing the repertoires for combating multidrug‐resistant bacterial infections.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Nanocluster Synthesis and Applications · Gold and Silver Nanoparticles Synthesis and Applications · Protein Interaction Studies and Fluorescence Analysis

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

Affiliations

Shenzhen Key Laboratory of Smart Healthcare Engineering Guangdong Provincial Key Laboratory of Advanced Biomaterials Department of Biomedical Engineering Southern University of Science and Technology No 1088, Xueyuan Rd., Nanshan District Shenzhen Guangdong 518055 P. R. China

School of Chemistry Astbury Centre for Structural Molecular Biology University of Leeds Leeds LS2 9JT UK

Institute of Antibiotics Huashan Hospital Fudan University Shanghai 200040 P. R. China

School of Food Science and Nutrition Astbury Centre for Structural Molecular Biology University of Leeds Leeds LS2 9JT UK

Funding

National Natural Science Foundation of China · Chinese Academy of Sciences · Guangdong Innovative and Entrepreneurial Research Team Program · Royal Society

References (83)

Show source-provided references
1. 10.1016/j.jcis.2018.10.04110.1016/j.jcis.2018.10.041 ↗
2. 10.1016/j.survophthal.2018.12.00310.1016/j.survophthal.2018.12.003 ↗
3. 10.1016/j.preteyeres.2021.10103110.1016/j.preteyeres.2021.101031 ↗
4. 10.1021/acs.biomac.1c0013910.1021/acs.biomac.1c00139 ↗
5. 10.3390/jcm1004075810.3390/jcm10040758 ↗
6. 10.1016/j.ophtha.2017.05.01210.1016/j.ophtha.2017.05.012 ↗
7. 10.1097/ICO.000000000000043110.1097/ICO.0000000000000431 ↗
8. 10.1021/acs.biomac.1c0046110.1021/acs.biomac.1c00461 ↗
9. 10.1016/j.ajo.2020.03.01710.1016/j.ajo.2020.03.017 ↗
10. 10.1016/j.jconrel.2020.09.01410.1016/j.jconrel.2020.09.014 ↗
11. 10.1002/btm2.1038010.1002/btm2.10380 ↗
12. 10.1021/acsnano.7b0102310.1021/acsnano.7b01023 ↗
13. 10.1016/j.colsurfb.2021.11185610.1016/j.colsurfb.2021.111856 ↗
14. 10.1016/j.msec.2020.11149710.1016/j.msec.2020.111497 ↗
15. 10.1016/j.cej.2021.12846910.1016/j.cej.2021.128469 ↗
16. 10.1002/smll.20230257810.1002/smll.202302578 ↗
17. 10.1016/j.biomaterials.2022.12157710.1016/j.biomaterials.2022.121577 ↗
18. 10.1002/smll.20200385110.1002/smll.202003851 ↗
19. 10.1002/anie.20201008910.1002/anie.202010089 ↗
20. 10.1002/adma.20190101510.1002/adma.201901015 ↗
21. 10.1002/anie.20201087010.1002/anie.202010870 ↗
22. 10.1016/j.mattod.2021.09.02210.1016/j.mattod.2021.09.022 ↗
23. 10.1016/j.ccr.2020.21368910.1016/j.ccr.2020.213689 ↗
24. 10.1021/acsami.8b0020710.1021/acsami.8b00207 ↗
25. 10.1002/smll.20190096810.1002/smll.201900968 ↗
26. 10.1016/j.nantod.2021.10114410.1016/j.nantod.2021.101144 ↗
27. 10.1021/acsami.0c0907510.1021/acsami.0c09075 ↗
28. 10.1038/nmat505310.1038/nmat5053 ↗
29. 10.1002/anie.20171287810.1002/anie.201712878 ↗
30. 10.3389/fchem.2020.0018110.3389/fchem.2020.00181 ↗
31. 10.1021/acsnano.7b0203510.1021/acsnano.7b02035 ↗
32. 10.1021/acs.accounts.8b0037910.1021/acs.accounts.8b00379 ↗
33. 10.1146/annurev-physchem-090419-10492110.1146/annurev-physchem-090419-104921 ↗
34. 10.1002/tcr.20210000110.1002/tcr.202100001 ↗
35. 10.1038/ncomms1598810.1038/ncomms15988 ↗
36. 10.1021/acsenergylett.1c0099010.1021/acsenergylett.1c00990 ↗
37. 10.1021/acs.chemmater.7b0005810.1021/acs.chemmater.7b00058 ↗
38. 10.1002/chem.20090142510.1002/chem.200901425 ↗
39. 10.1039/C8NR00660A10.1039/C8NR00660A ↗
40. 10.1021/acs.langmuir.9b0152710.1021/acs.langmuir.9b01527 ↗
41. 10.1021/acs.jpclett.0c0299610.1021/acs.jpclett.0c02996 ↗
42. 10.1039/C4TC00059E10.1039/C4TC00059E ↗
43. 10.3389/fchem.2018.0033010.3389/fchem.2018.00330 ↗
44. 10.1021/acs.jpcc.8b0110610.1021/acs.jpcc.8b01106 ↗
45. 10.1021/acsnano.2c0375210.1021/acsnano.2c03752 ↗
46. 10.1021/jf011154g10.1021/jf011154g ↗
47. 10.1021/bk-2002-0826.ch00210.1021/bk-2002-0826.ch002 ↗
48. 10.1021/jf026045w10.1021/jf026045w ↗
49. Evaluation of certain food additives and contaminants : sixty‐eighth report of the Joint FAO/WHO Expert Committee on Food Additives World Health Organization Geneva Switzerland2008 https://apps.who.int/iris/handle/10665/43870.
50. Smith R. L. · Food Technol. · 2005 · 59 · 24
51. 10.1002/adma.20090140710.1002/adma.200901407 ↗
52. 10.1039/D1SC03056F10.1039/D1SC03056F ↗
53. 10.1021/ja409177s10.1021/ja409177s ↗
54. 10.1038/s41467-018-04410-610.1038/s41467-018-04410-6 ↗
55. 10.1021/jacs.2c0910710.1021/jacs.2c09107 ↗
56. 10.1021/nl101225f10.1021/nl101225f ↗
57. 10.1039/C9AY01599J10.1039/C9AY01599J ↗
58. 10.1021/ja042218h10.1021/ja042218h ↗
59. 10.1021/acsnano.6b0420710.1021/acsnano.6b04207 ↗
60. Centers for Disease Control and Prevention Antibiotic Resistance Threats in the United States 2019 Atlanta Georgia 2019 https://ndc.services.cdc.gov/wp‐content/uploads/Antibiotic‐Resistance‐Threats‐in‐the‐United‐States‐2019.pdf.
61. 10.1038/nrdp.2018.3310.1038/nrdp.2018.33 ↗
62. 10.1002/cphc.20200002610.1002/cphc.202000026 ↗
63. 10.1073/pnas.160032111310.1073/pnas.1600321113 ↗
64. 10.1128/AAC.01410-0710.1128/AAC.01410-07 ↗
65. 10.1128/CMR.00030-1310.1128/CMR.00030-13 ↗
66. 10.1016/j.bpj.2017.05.02510.1016/j.bpj.2017.05.025 ↗
67. 10.1016/j.bbamem.2020.18339510.1016/j.bbamem.2020.183395 ↗
68. 10.1021/acs.biochem.8b0081810.1021/acs.biochem.8b00818 ↗
69. 10.1016/j.ejmech.2021.11344610.1016/j.ejmech.2021.113446 ↗
70. 10.1111/j.1365-2958.2004.04368.x10.1111/j.1365-2958.2004.04368.x ↗
71. 10.1099/mic.0.26674-010.1099/mic.0.26674-0 ↗
72. 10.1002/pmic.20080058610.1002/pmic.200800586 ↗
73. 10.1111/mmi.1334710.1111/mmi.13347 ↗
74. 10.1016/j.redox.2018.02.00410.1016/j.redox.2018.02.004 ↗
75. 10.15252/embr.20184583210.15252/embr.201845832 ↗
76. 10.1016/j.actbio.2022.02.02910.1016/j.actbio.2022.02.029 ↗
77. 10.1016/j.colsurfb.2018.12.03210.1016/j.colsurfb.2018.12.032 ↗
78. 10.1021/acs.bioconjchem.8b0045210.1021/acs.bioconjchem.8b00452 ↗
79. 10.1002/adhm.20120011210.1002/adhm.201200112 ↗
80. 10.3390/pharmaceutics1302028910.3390/pharmaceutics13020289 ↗
81. 10.1016/j.mex.2020.10087610.1016/j.mex.2020.100876 ↗
82. 10.1021/acs.chemmater.8b0333210.1021/acs.chemmater.8b03332 ↗
83. Kretschmer F. · J. Neurosci. · 2015 · 256 · 91