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Effective combinatorial antifungal therapy using a host defense peptide mimic that self-assembles into delivery micelles

Abstract

The synergistic combination of two antimicrobial drugs is a promising therapeutic modality for many infectious diseases. However, systemic fungal infections still have a high mortality rate because of distinct in vivo distributions of the two drugs. Here we address this challenge by designing an antifungal polymer that forms micelles suitable for delivering a second antifungal agent to achieve temporal and spatial consistency of delivery. We show that the polymer, which mimics host defense peptides, exerts a synergistic effect with the antifungal amphotericin B (AmB). The AmB-encapsulated micelles (AmBmicelles) greatly reduce the toxicity of AmB through slow release and expand its therapeutic window in vivo. AmBmicelles can selectively target fungal pathogens through charge interactions with the fungal membrane. In mouse models of systemic candidiasis and cryptococcal meningitis, AmBmicelles increase the survival rate by 67–100% compared to the state-of-the-art drug AmBisome or AmBisome and 5-flucytosine combination, suggesting that the strategy may be effective in combating drug-resistant fungal infections including meningitis.

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Fig. 1: The current clinical strategy and our strategy in treating fungal infections.
Fig. 2: Synthesis, characterization and biological activity study of polymers and polymer micelles.
Fig. 3: Mechanism of synergistic effect between micelles and AmB and fungal pathogen selective targeting ability of micelles.
Fig. 4: The biocompatibility and therapeutic efficacy of AmBmicelles.
Fig. 5: The therapeutic efficacy of AmBmicelles in fungal meningitis.

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All data needed to evaluate the conclusions are available within the article or its Supplementary Information. Any additional data are available from the corresponding author. Source data are provided with this paper.

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Acknowledgements

This research was supported by the Chinese Academy of Sciences Project for Young Scientists in Basic Research (YSBR-111, to R.L.), the National Natural Science Foundation of China (T2325010, to R.L.; 22475069 and 52203162, to Y.W.; 22305082, to M.Z.), the National Key Research and Development Program of China (2022YFC2303100, to R.L.), the Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism (Shanghai Municipal Education Commission) and the Open Research Fund of State Key Laboratory of Polymer Physics and Chemistry (Changchun Institute of Applied Chemistry, Chinese Academy of Sciences). We thank Research Center of Analysis and Test of East China University of Science and Technology and the Analysis and Testing Center of School of Chemical Engineering at East China University of Science and Technology for support with the characterization. We thank the staff members of the Integrated Laser Microscopy System at the National Facility for Protein Science in Shanghai, Zhangjiang Lab for providing technical support and assistance in data collection and analysis.

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Authors and Affiliations

Authors

Contributions

R.L. directed the whole project and conceptualized the study. R.L., M.Z. and L.L. proposed the strategy, designed the experiments, evaluated the data and wrote the paper. L.L. performed the majority of the experiments. Q.Z. contributed to the preparation of antifungal micelles. L.L., X.X., J.Z. and J.X. contributed to the in vitro antifungal study. L.L., Z.C., X.X.and J.X. contributed to the in vivo study. M.Z. and Y.W. contributed to the data analysis and discussion of the results. All authors proofread the paper.

Corresponding author

Correspondence to Runhui Liu.

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Competing interests

R.L. and M.Z. are coinventors on a patent application covering the reported synthesis of poly(2-oxazoline)s and their antifungal application. R.L. and L.L. are also coinventors on a patent application covering the reported application of poly(2-oxazoline)s in drug delivery. The other authors declare no competing interests.

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Extended data

Extended Data Fig. 1 Structural characterization and reproducibility of block copolymers PGlyX-b-PNapY.

(a) Structural of poly(2-oxazoline)s block copolymers. (b) Summary of GPC characterization. Mn, number average molecular weight. Ð is the dispersity index. DP is the obtained degree of polymerization. (c) 1H NMR spectra of block poly(2-oxazoline)s in DMSO-D6, 400 MHz. (d) GPC traces of PGly6-b-PNap14 from 6 batches at the side chain NH-Boc protected stage. (e) Summary of GPC characterization. (f) The MIC values of PGly6-b-PNap14 from 6 batches.

Source data

Extended Data Fig. 2 The particle size and critical micelle concentration of polymer micelles.

(a) DLS measurement of the Size distribution of polymer micelles is indicated by spline fits. (b) The CMC of polymer micelles.

Source data

Extended Data Fig. 3 The synergistic effect of polymer micelles and AmB.

(a-k) The synergistic effect of polymer micelles and AmB against C. albicans, C. neoformans, C. glabrata and C. parapsilosis. The blue zone represents fungal growth visible to the naked eye, and the white zone represents complete fungal growth inhibition invisible to the naked eye. The star symbol represents the position of FICI value.

Extended Data Fig. 4 The fungal pathogen targeting ability of micelles.

(a-c) Distribution of AmBisome liposomes and micelles in a cells and fungi coculture mixture. (d-e) Distribution of micelles in a coculture mixture of Human umbilical vein endothelial cells (HUVEC, primary cells) and fungi, and Bone marrow-derived macrophages (BMDM, primary cells) and fungi.

Extended Data Fig. 5 The characterization and pathogen targeting studies of a series of polymeric micelles.

(a-b) Summary of GPC characterization. (c) GPC traces of of (PGlyaPEOzb)6-b-PNapY from 6 batches at the side chain NH-Boc protected stage. (d) DLS measurements and TEM images of micelles assembled from polymer (PGlyaPEOzb)6-b-PNapY. The scale bars in TEM images all represent 200 nm. (e-f) Distribution of AmBisome liposomes and micelles in a mammalian cells (NIH/3T3) and fungi (C. albicans) coculture mixture.

Source data

Extended Data Fig. 6 The loading capacity of polymer micelles.

(a) The water solubility of AmB and AmBmicelles. (b-c) MIC and FICI values of AmB in AmBmicelles and the mixture of AmB and micelles. (d) Normalized DLS measurements of the Size distribution of AmB and AmBmicelles are indicated by spline fits. (e) UV-vis spectra of AmB in H2O, AmB in DMSO, micelles and AmBmicelles. (f) The stability of AmBmicelles over two weeks at 4 oC. (g) The release kinetics of AmB in vitro at 37 oC. (h) The emission wavelength of nile red and nile red encapsulated in micelles in water under 559 nm excitation.

Source data

Extended Data Fig. 7 Pharmacokinetics and in vivo distribution of micelles and AmB in AmBmicelles.

(a) Structure of PGly4-b-PNap16-FITC. (b) Normalized DLS measurements of the Size distribution of AmBmicelles and AmBmicelles-FITC are indicated by spline fits. (c-d) Pharmacokinetics curve of micelles and AmB. (e-g) Distribution of micelles and AmB in different organs. The concentration ratios of micelles and AmB in different organs are listed at the top of the graph. The data are expressed as mean±s.d. n = 3 biologically independent animals.

Source data

Extended Data Fig. 8 The in vivo immunogenicity and toxicity of micelles and AmBmicelles.

(a) Cytokine profiling for serum after daily intravenous injection of micelles, AmBmicelles and saline, respectively, for 4 consecutive days. The mouse cytokine array coordinates are shown in Table S1. (b) Gray values of cytokine and chemokine expression. (c) The concentration of C3a in serum after daily intravenous injection of micelles, AmBmicelles and saline, respectively, for 4 consecutive days (n = 4 biologically independent animals). Data are presented as mean values ± s.d. Statistical analysis was conducted using one-way ANOVA with multiple comparisons using Tukey’s post-test.

Source data

Extended Data Fig. 9 The therapeutic efficacy of micelles and AmBmicelles in systemic candidiasis infection.

(a) Schematic diagram of an in vivo antifungal study. Survival ratio (b) and fungal cell burden in different organs (c) of mice with systemic fungal infection after treatment with saline (200 μL), micelles (15 mg/kg), and micelles (30 mg/kg), respectively. (n = 6 biologically independent animals). Data are presented as mean values ± s.d. Statistical analysis was conducted using one-way ANOVA with multiple comparisons using Tukey’s post hoc test. (d-e) Survival ratio and fungal cell burden in different organs of mice with systemic fungal infection after treatment with Saline (200 μL), AmB@PIC micelles (0.5 mg/kg), AmBisome (0.5 mg/kg, 1 mg/kg, 2 mg/kg, 4 mg/kg) and AmBmicelles (0.5 mg/kg) (n = 6 biologically independent animals). The concentration indicated is the concentration of AmB encapsulated by micelles. Data are presented as mean values ± s.d. Statistical analysis was conducted using one-way ANOVA with multiple comparisons using Tukey’s post hoc test.

Source data

Extended Data Fig. 10 Brain tissue slices and fungal cell burden in the brains of mice infected with fungal meningitis.

(a) Representative histological images from Grocott hexamine-silver stain of early treatment models of meningitis mouse brain at 15 and 22 days after infection treated with AmBmicelles (1 mg/kg AmB), AmBisome + 5FC (1 mg/kg AmB and 75 mg/kg 5FC), and Saline, respectively. Black arrows indicate the vesicular lesions in brain. (b) The fungal cell burden in mouse brains at 1 and 3 days after infection. (n = 6 biologically independent animals). Data are presented as mean values ± s.d. Statistical analysis was conducted using two tailed Student’s t test.

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Liu, L., Zhou, M., Xiao, X. et al. Effective combinatorial antifungal therapy using a host defense peptide mimic that self-assembles into delivery micelles. Nat Biotechnol (2026). https://doi.org/10.1038/s41587-025-02930-3

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