Back

Chiral Histidine-Modified Gold Nanoclusters Loaded into Cationic Lipid Nanoparticles for Treatment of Biofilm-associated Infections

Ye, Z.; Jin, X.; Koekman, A.; van Steenbergen, M.; Liu, Y.; Xing, Z.; Seinen, C.; Khodaei, A.; Mastrobattista, E.; Sluijter, J.; Weinans, H.; Schiffelers, R.; Rios, J. L.; van der Wal, B.; Lei, Z.

2026-02-25 microbiology
10.64898/2026.02.25.707929 bioRxiv
Show abstract

Antimicrobial resistance has heightened the risk of device-associated infections, in which Staphylococcus aureus (S. aureus) biofilms persist through extracellular-matrix protection and marked physiological heterogeneity. Gold nanoclusters (AuNCs) can disrupt biofilms via redox-associated stress, but limited in vivo stability and poor local retention constrain their translational potential. Here, we synthesized chiral histidine-modified AuNCs (D-, L-, and DL-AuNCs) and formulated them into mildly cationic lipid nanoparticles (AuNCs@LNP) by microfluidic assembly to enhance biofilm engagement while preserving nanocluster identity. The resulting particles were [~]100-120 nm with high gold loading and a modest charge reversal. In established S. aureus USA300 biofilms, free DL-AuNCs reduced viable burden by up to 5.6 log10 CFU/mL, suppressed metabolic activity, and increased ROS signaling. Notably, LNP encapsulation maintained bactericidal activity and further improved killing by [~]1 log10 CFU at matched Au dose, while substantially enhancing biomass removal (crystal violet residual biomass: 63.77% vs 45.17%), consistent with carrier-mediated matrix destabilization. In a subcutaneous implant infection model, a single perilesional dose of DL-AuNCs@LNP reduced implant-associated bacterial burden by 2.6 log10 CFU per implant versus PBS. These results establish a modular antibiofilm platform that couples nanocluster-driven killing with lipid-facilitated biofilm disruption and defines an efficacy-tolerability window to guide optimization of locally delivered antibiofilm nanomedicines. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=61 SRC="FIGDIR/small/707929v2_ufig1.gif" ALT="Figure 1"> View larger version (22K): org.highwire.dtl.DTLVardef@119134forg.highwire.dtl.DTLVardef@142e7b2org.highwire.dtl.DTLVardef@1799550org.highwire.dtl.DTLVardef@139c33a_HPS_FORMAT_FIGEXP M_FIG C_FIG

Matching journals

The top 8 journals account for 50% of the predicted probability mass.

1
Advanced Materials
53 papers in training set
Top 0.2%
9.9%
2
ACS Nano
99 papers in training set
Top 0.3%
9.9%
3
Nature Communications
4913 papers in training set
Top 21%
9.0%
4
Science Advances
1098 papers in training set
Top 1%
6.2%
5
Nano Letters
63 papers in training set
Top 0.5%
6.2%
6
ACS Applied Materials & Interfaces
39 papers in training set
Top 0.1%
4.1%
7
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 21%
3.5%
8
Advanced Science
249 papers in training set
Top 6%
3.5%
50% of probability mass above
9
Small
70 papers in training set
Top 0.1%
3.5%
10
ACS Central Science
66 papers in training set
Top 0.5%
3.0%
11
Advanced Healthcare Materials
71 papers in training set
Top 0.9%
2.0%
12
Small Methods
26 papers in training set
Top 0.3%
1.8%
13
Angewandte Chemie International Edition
81 papers in training set
Top 2%
1.7%
14
Nanoscale
39 papers in training set
Top 0.2%
1.6%
15
mBio
750 papers in training set
Top 8%
1.6%
16
Advanced Functional Materials
41 papers in training set
Top 1%
1.5%
17
Nature Biotechnology
147 papers in training set
Top 5%
1.3%
18
ACS Sensors
45 papers in training set
Top 0.9%
1.3%
19
npj Biofilms and Microbiomes
56 papers in training set
Top 1%
1.2%
20
Science Translational Medicine
111 papers in training set
Top 4%
1.2%
21
eLife
5422 papers in training set
Top 50%
1.2%
22
Lab on a Chip
88 papers in training set
Top 0.9%
1.2%
23
Journal of Colloid and Interface Science
12 papers in training set
Top 0.3%
0.9%
24
Journal of the American Chemical Society
199 papers in training set
Top 4%
0.9%
25
Cell Reports Medicine
140 papers in training set
Top 7%
0.9%
26
Biomaterials
78 papers in training set
Top 1%
0.8%
27
iScience
1063 papers in training set
Top 33%
0.7%
28
Nature Nanotechnology
30 papers in training set
Top 1%
0.7%
29
ACS Infectious Diseases
74 papers in training set
Top 1%
0.7%