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Bismuth-based drugs sensitize Pseudomonas aeruginosa to multiple antibiotics by disrupting iron homeostasis

Abstract

Pseudomonas aeruginosa infections are difficult to treat due to rapid development of antibiotic drug resistance. The synergistic combination of already-in-use drugs is an alternative to developing new antibiotics to combat antibiotic-resistant bacteria. Here we demonstrate that bismuth-based drugs (bismuth subsalicylate, colloidal bismuth subcitrate) in combination with different classes of antibiotics (tetracyclines, macrolides, quinolones, rifamycins and so on) can eliminate multidrug-resistant P. aeruginosa and do not induce development of antibiotic resistance. Bismuth disrupts iron homeostasis by binding to P. aeruginosa siderophores. Inside cells, bismuth inhibits the electron transport chain, dissipates the proton motive force and impairs efflux pump activity by disrupting iron–sulfur cluster-containing enzymes, including respiration complexes. As a result, bismuth facilitates antibiotic accumulation inside bacteria, enhancing their efficacy. The combination therapy shows potent antibacterial efficacy and low toxicity in an ex vivo bacteraemia model and increases the survival rate of mice in in vivo mouse lung-infection models. Our findings highlight the potential of bismuth-based drugs to be repurposed to combat P. aeruginosa infections in combination with clinically used antibiotics.

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Fig. 1: Bismuth enhances the antimicrobial activity of multiple antibiotics against P. aeruginosa.
Fig. 2: Bismuth disrupts the iron homeostasis of P. aeruginosa.
Fig. 3: Bismuth impairs the activity of the ETC, inhibits efflux pumps, and promotes intracellular antibiotic accumulation in P. aeruginosa.
Fig. 4: Bismuth prevents the evolution of antibiotics-elicited resistance and enhances the activities of antibiotics against clinical isolates.
Fig. 5: Bismuth enhances the efficacy of antibiotics against P. aeruginosa in vivo.

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Data availability

The transcriptome (RNA sequencing) data that support the findings of this study have been deposited in the National Center for Biotechnology Information Gene Expression Omnibus (GEO) with the accession code GSE223542. Genome sequencing data for the antibiotics resistant isolates are available in the National Center for Biotechnology Information Sequence Read Archive under the accession number PRJNA1089519. Source data are provided with this paper.

References

  1. Piddock, L. J. V. Reflecting on the final report of the O’Neill Review on Antimicrobial Resistance. Lancet Infect. Dis. 16, 767–768 (2016).

    Article  PubMed  Google Scholar 

  2. Prestinaci, F., Pezzotti, P. & Pantosti, A. Antimicrobial resistance: a global multifaceted phenomenon. Pathog. Glob. Health 109, 309–318 (2015).

    Article  PubMed  PubMed Central  Google Scholar 

  3. Marston, H. D., Dixon, D. M., Knisely, J. M., Palmore, T. N. & Fauci, A. S. Antimicrobial resistance. JAMA 316, 1193–1204 (2016).

    Article  CAS  PubMed  Google Scholar 

  4. Flamm, R. K. et al. Factors associated with relative rates of antibiotic resistance in Pseudomonas aeruginosa isolates tested in clinical laboratories in the United States from 1999 to 2002. Antimicrob. Agents Chemother. 48, 2431–2436 (2004).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Qin, S. et al. Pseudomonas aeruginosa: pathogenesis, virulence factors, antibiotic resistance, interaction with host, technology advances and emerging therapeutics. Signal Transduct. Target. Ther. 7, 199 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Lister, P. D., Wolter, D. J. & Hanson, N. D. Antibacterial-resistant Pseudomonas aeruginosa: clinical impact and complex regulation of chromosomally encoded resistance mechanisms. Clin. Microbiol. Rev. 22, 582–610 (2009).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Costerton, J. W., Lewandowski, Z., Caldwell, D. E., Korber, D. R. & Lappin-Scott, H. M. Microbial biofilms. Annu. Rev. Microbiol. 49, 711–745 (1995).

    Article  CAS  PubMed  Google Scholar 

  8. Theuretzbacher, U., Outterson, K., Engel, A. & Karlén, A. The global preclinical antibacterial pipeline. Nat. Rev. Microbiol. 18, 275–285 (2020).

    Article  PubMed  Google Scholar 

  9. Kupferschmidt, K. Resistance fighters. Science 352, 758–761 (2016).

    Article  CAS  PubMed  Google Scholar 

  10. Theuretzbacher, U. et al. Critical analysis of antibacterial agents in clinical development. Nat. Rev. Microbiol. 18, 286–298 (2020).

    Article  CAS  PubMed  Google Scholar 

  11. Sun, H. et al. Resensitizing carbapenem- and colistin-resistant bacteria to antibiotics using auranofin. Nat. Commun. 11, 5263 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Wang, C. et al. Metallo-sideromycin as a dual functional complex for combating antimicrobial resistance. Nat. Commun. 14, 5311 (2023).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Tyers, M. & Wright, G. D. Drug combinations: a strategy to extend the life of antibiotics in the 21st century. Nat. Rev. Microbiol. 17, 141–155 (2019).

    Article  CAS  PubMed  Google Scholar 

  14. Bollenbach, T. Antimicrobial interactions: mechanisms and implications for drug discovery and resistance evolution. Curr. Opin. Microbiol. 27, 1–9 (2015).

    Article  CAS  PubMed  Google Scholar 

  15. Kanatzidis, M., Sun, H. & Dehnen, S. Bismuth-the magic element. Inorg. Chem. 59, 3341–3343 (2020).

    Article  CAS  PubMed  Google Scholar 

  16. Griffith, D. M., Li, H., Werrett, M. V., Andrews, P. C. & Sun, H. Medicinal chemistry and biomedical applications of bismuth-based compounds and nanoparticles. Chem. Soc. Rev. 50, 12037–12069 (2021).

    Article  CAS  PubMed  Google Scholar 

  17. Li, H. & Sun, H. Recent advances in bioinorganic chemistry of bismuth. Curr. Opin. Chem. Biol. 16, 74–83 (2012).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Malfertheiner, P. Infection: bismuth improves PPI-based triple therapy for H. pylori eradication. Nat. Rev. Gastroenterol. Hepatol. 7, 538–539 (2010).

    Article  CAS  PubMed  Google Scholar 

  19. Alkim, H., Koksal, A. R., Boga, S., Sen, I. & Alkim, C. Role of bismuth in the eradication of Helicobacter pylori. Am. J. Ther. 24, e751–e757 (2017).

    Article  PubMed  Google Scholar 

  20. Wang, R. et al. Bismuth antimicrobial drugs serve as broad-spectrum metallo-β-lactamase inhibitors. Nat. Commun. 9, 439 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  21. Deng, T. et al. Bismuth drugs reverse Tet(X)-conferred tigecycline resistance in gram-negative bacteria. Microbiol. Spectr. 10, e0157821 (2022).

    Article  PubMed  Google Scholar 

  22. Fiorini, G. et al. Rescue therapy with bismuth quadruple regimen in patients with Helicobacter pylori-resistant strains. Helicobacter 22, e12448 (2017).

    Article  Google Scholar 

  23. Tacconelli, E. et al. Discovery, research, and development of new antibiotics: the WHO priority list of antibiotic-resistant bacteria and tuberculosis. Lancet Infect. Dis. 18, 318–327 (2018).

    Article  PubMed  Google Scholar 

  24. Imamura, Y. et al. Azithromycin exhibits bactericidal effects on Pseudomonas aeruginosa through interaction with the outer membrane. Antimicrob. Agents Chemother. 49, 1377–1380 (2005).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Murdoch, C. C. & Skaar, E. P. Nutritional immunity: the battle for nutrient metals at the host–pathogen interface. Nat. Rev. Microbiol. 20, 657–670 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Andrews, S. C., Robinson, A. K. & Rodríguez-Quiñones, F. Bacterial iron homeostasis. FEMS Microbiol. Rev. 27, 215–237 (2003).

    Article  CAS  PubMed  Google Scholar 

  27. Xia, W., Li, H., Yang, X., Wong, K. B. & Sun, H. Metallo-GTPase HypB from Helicobacter pylori and its interaction with nickel chaperone protein HypA. J. Biol. Chem. 287, 6753–6763 (2012).

    Article  CAS  PubMed  Google Scholar 

  28. Braud, A., Hannauer, M., Mislin, G. L. & Schalk, I. J. The Pseudomonas aeruginosa pyochelin-iron uptake pathway and its metal specificity. J. Bacteriol. 191, 3517–3525 (2009).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Lamont, I. L., Beare, P. A., Ochsner, U., Vasil, A. I. & Vasil, M. L. Siderophore-mediated signaling regulates virulence factor production in Pseudomonas aeruginosa. Proc. Natl Acad. Sci. USA 99, 7072–7077 (2002).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. He, X., Liao, X., Li, H., Xia, W. & Sun, H. Bismuth-induced inactivation of ferric uptake regulator from Helicobacter pylori. Inorg. Chem. 56, 15041–15048 (2017).

    Article  CAS  PubMed  Google Scholar 

  31. Meylan, S. et al. Carbon sources tune antibiotic susceptibility in Pseudomonas aeruginosa via tricarboxylic acid cycle control. Cell Chem. Biol. 24, 195–206 (2017).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  32. Baradaran, R., Berrisford, J. M., Minhas, G. S. & Sazanov, L. A. Crystal structure of the entire respiratory complex I. Nature 494, 443–448 (2013).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Poulsen, B. E. et al. Defining the core essential genome of Pseudomonas aeruginosa. Proc. Natl Acad. Sci. USA 116, 10072–10080 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Wang, Y. et al. Integrative approach for the analysis of the proteome-wide response to bismuth drugs in Helicobacter pylori. Chem. Sci. 8, 4626–4633 (2017).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Ito, A. et al. Siderophore cephalosporin cefiderocol utilizes ferric iron transporter systems for antibacterial activity against Pseudomonas aeruginosa. Antimicrob. Agents Chemother. 60, 7396–7401 (2016).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Cochrane, S. A. et al. Antimicrobial lipopeptide tridecaptin A1 selectively binds to Gram-negative lipid II. Proc. Natl Acad. Sci. USA 113, 11561–11566 (2016).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Wen, Z. et al. Mechanism of eravacycline resistance in clinical Enterococcus faecalis isolates from China. Front. Microbiol. 11, 916 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  38. Lebeaux, D., Ghigo, J. M. & Beloin, C. Biofilm-related infections: bridging the gap between clinical management and fundamental aspects of recalcitrance toward antibiotics. Microbiol. Mol. Biol. Rev. 78, 510–543 (2014).

    Article  PubMed  PubMed Central  Google Scholar 

  39. Hong, Y., Lai, Y. T., Chan, G. C. & Sun, H. Glutathione and multidrug resistance protein transporter mediate a self-propelled disposal of bismuth in human cells. Proc. Natl Acad. Sci. USA 112, 3211–3216 (2015).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  40. Meyer, J. M., Neely, A., Stintzi, A., Georges, C. & Holder, I. A. Pyoverdin is essential for virulence of Pseudomonas aeruginosa. Infect. Immun. 64, 518–523 (1996).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  41. Goss, C. H. et al. Gallium disrupts bacterial iron metabolism and has therapeutic effects in mice and humans with lung infections. Sci. Transl. Med. 10, eaat7520 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  42. Zhang, Q. et al. Re-sensitization of mcr carrying multidrug resistant bacteria to colistin by silver. Proc. Natl Acad. Sci. USA 119, e2119417119 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  43. Wang, H. et al. Multi-target mode of action of silver against Staphylococcus aureus endows it with capability to combat antibiotic resistance. Nat. Commun. 12, 3331 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  44. Frei, A., Verderosa, A. D., Elliott, A. G., Zuegg, J. & Blaskovich, M. A. T. Metals to combat antimicrobial resistance. Nat. Rev. Chem. 7, 202–224 (2023).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  45. Schalk, I. J. & Cunrath, O. An overview of the biological metal uptake pathways in Pseudomonas aeruginosa. Environ. Microbiol. 18, 3227–3246 (2016).

    Article  CAS  PubMed  Google Scholar 

  46. Palma, M., Worgall, S. & Quadri, L. E. Transcriptome analysis of the Pseudomonas aeruginosa response to iron. Arch. Microbiol. 180, 374–379 (2003).

    Article  CAS  PubMed  Google Scholar 

  47. Kaneko, Y., Thoendel, M., Olakanmi, O., Britigan, B. E. & Singh, P. K. The transition metal gallium disrupts Pseudomonas aeruginosa iron metabolism and has antimicrobial and antibiofilm activity. J. Clin. Invest. 117, 877–888 (2007).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  48. Efremov, R. G. & Sazanov, L. A. Structure of the membrane domain of respiratory complex I. Nature 476, 414–420 (2011).

    Article  CAS  PubMed  Google Scholar 

  49. Yuan, S. et al. Metallodrug ranitidine bismuth citrate suppresses SARS-CoV-2 replication and relieves virus-associated pneumonia in Syrian hamsters. Nat. Microbiol. 5, 1439–1448 (2020).

    Article  CAS  PubMed  Google Scholar 

  50. Wang, R. et al. Orally administered bismuth drug together with N-acetyl cysteine as a broad-spectrum anti-coronavirus cocktail therapy. Chem. Sci. 13, 2238–2248 (2022).

    Article  CAS  PubMed  Google Scholar 

  51. Tillman, L. A., Drake, F. M., Dixon, J. S. & Wood, J. R. Review article: safety of bismuth in the treatment of gastrointestinal diseases. Aliment. Pharmacol. Ther. 10, 459–467 (1996).

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

We thank the Research Grants Council (R7070-18, 17308921, 17304323, SRFS2122-7S04) and the University of Hong Kong (University Research Committee and Norman and Celia Yip Foundation) for financial support. This work was also supported by the program of China Scholarships Council (number 201906200035 to Y.X.) and the National Natural Science Foundation of China (number 32300155 to Y.X.). R.C. and O.P.K. were partially supported by a grant from the Netherlands Organisation for Scientific Research (number 16433 to R.C. and O.P.K.) on developing novel antimicrobials, and RC was also supported by the Instituto de Salud Carlos III (Miguel Servet program, Spain, number CP21/00113 to R.C.). The funders had no role in the study design, data collection and interpretation, or the decision to submit the work for publication.

Author information

Authors and Affiliations

Authors

Contributions

O.P.K., H.S. and R.C. conceived and designed the project; Y.X., X.W., P.G., C.W. and R.C. conducted the experiments and data analyses. A.d.J. performed the transcriptome analysis. J.H.K.C. performed the collections of clinical P. aeruginosa isolates. M.J.R.-S., A.R.-N., P.D.-E, J.G. and F.G. performed the toxicity test in C57Bl/6 mice. Y.X., X.W. and P.G. performed the in vivo test in BALB/c mice. W.W., R.Y.-T.K. and H.L. provided the suggestions. Y.X., H.L., R.C., H.S. and O.P.K. prepared the paper with contributions from all other authors. All the authors approved the final paper.

Corresponding authors

Correspondence to Rubén Cebrián, Oscar P. Kuipers or Hongzhe Sun.

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Competing interests

O.P.K., Y.X. and R.C. are coinventors on a patent application associated with this work entitled ‘synergistic composition against Pseudomonas aeruginosa’, with reference number N2029436 (2021). O.P.K. is also cofounder and board member of the company Omnicin Therapeutics that is developing novel therapies against P. aeruginosa. The other authors declare no competing interests.

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Extended data

Extended Data Fig. 1 Bismuth compounds show strong synergistic effects with multiple antibiotics against PAO1.

The heat map of the FIC indices showing the synergistic effects of 55 antimicrobial agents with five different bismuth drugs against PAO1, while such synergistic effects were not observable for their sodium counterpart salts and other five metal-based compounds.

Source data

Extended Data Fig. 2 Bismuth enhances the antimicrobial activity of multiple antibiotics against P. aeruginosa at a low concentration.

Representative heat plots of microdilution checkerboard assay for the combination of antibiotics (azithromycin (a), clarithromycin (b), erythromycin (c), telithromycin (d), ofloxacin (e), levofloxacin (f), ciprofloxacin (g), gatifloxacin (h), moxifloxacin (i), tetracycline (j), doxycycline (k), minocycline (l), tigecycline (m), eravacycline (n), omadacycline (o), chloramphenicol (p), rifampicin (q), cefepime (r), tobramycin (s) and aztreonam (t)) with BSS against PAO1.

Source data

Extended Data Fig. 3 Time-killing curves showed the synergistic effects of BSS and antibiotics against PAO1.

Time-killing curves for antibiotics (azithromycin (AZM, a), clarithromycin (CLR, b), telithromycin (TEL, c), chloramphenicol (CHL, d), doxycycline (DOX, e), minocycline (MIN, f), tigecycline (TGC, g), eravacycline (ERV, h), omadacycline (OMC, i), rifampicin (RIF, j), ofloxacin (OFX, k), ciprofloxacin (CIP, l), moxifloxacin (MXF, m), aztreonam (ATM, n), tobramycin (TOB, o), cefepime (FEP, p)) and BSS monotherapy and their combination therapy against PAO1 during 24 h incubation at the indicated concentration (μM). Error bars represent mean ± SD for three biological replicates.

Source data

Extended Data Fig. 4 Bismuth disrupts the iron homeostasis of P. aeruginosa.

a, The RT-qPCR confirmed the downregulation of iron uptake-related genes under the treatment of BSS. b, The heat map shows the lack of synergy of bismuth with eravacycline in the presence of 100 μM FeCl3. c, Time killing curves for ERV (0.5 μM) and BSS (16 μM) monotherapy or combination therapy against PAO1 in the absence or presence of 50 μM FeCl3. d, The mass spectra of PVD and bismuth-bound PVD (PVD-Bi). The peak at m/z of 667.8014 and 681.7980, assignable as PVD1 (Cald.667.8022) and PVD2 (Cald. 681.7997), and two different side chains of PVD are noted. The appearance of two new peaks after incubation of PVD with Bi(III) (as Bi(NO3)3) at m/z of 770.7782 and 784.7714 assignable to PVD1-Bi (Cald. 770.7779) and PVD2-Bi (Cald. 784.7753) indicated binding of Bi to PVD at a 1:1 ratio. e, Different UV-vis spectra of PCH upon addition of 0.125–2 molar equivalents of Bi(NTA). The inset shows the changes in absorbance at 360 nm. f, The intracellular bismuth concentrations of PAO1 and pvdA/pchD deletion strain under the treatment of 16 µM BSS. For Fig. a, error bars represent mean ± SEM for three biological replicates. ****. P < 0.0001; by two-sided unpaired t-test, 95% confidence interval. fpvA: P = 0.000048, fpvB: P = 0.000146, fptA: P = 0.000033, piuA: P = 0.000109, chtA: P = 0.000542, fecA: P = 0.000202, pvdA: P = 0.000008, pvdF: P = 0.000245, pchD: P = 0.000003, pchE: P = 0.000118, pvdS: P = 0.000043, tonB1:P = 0.000052. For Fig. c and f, error bars represent mean ± SEM for three biological replicates. For Fig. f, P values were determined using two-sided unpaired t-test, 95% confidence interval.

Source data

Extended Data Fig. 5 Bismuth impairs the activity of the electron transport chain (ETC) and promotes intracellular antibiotic accumulation in P. aeruginosa.

a, Time-dependent oxygen consumption rate was quantified by a fluorescence probe in the presence of indicated concentrations of BSS. The decrease in the oxygen consumption rate by BSS suggests the inhabitation of ETC activities. b, BSS inhibits the activity of NADH dehydrogenase in vivo. The bacteria were treated with different concentrations of BSS (μM) for 2 hours, then the inner membrane was collected and membrane-bound NADH-quinone oxidoreductase activity was measured. cf, BSS dose-dependent inhibition on the activity of NADH dehydrogenase from different gene mutant strains. The bacterial inner membrane was collected and treated with different concentrations of BSS (μM) for 2 hours, then the membrane-bound NADH-quinone oxidoreductase activity was measured. g, The fluorescence of calcein inside of P. aeruginosa under the treatment of indicated concentrations of BSS. h, The fluorescence of calcein inside of P. aeruginosa under the treatment of BSS in M9 medium without iron. The calcein-AM is not able to be quenched by bismuth or the change of metabolism and pH i, The fluorescence of calcein inside of P. aeruginosa under the treatment of different combinations of BSS (10 μM), iron(10 μM) or PVD (10 μM) in M9 medium. When cells were treated with iron and PVD, the fluorescence of calcein-AM was quenched, indicating that the iron was transported inside the cell and the calcein-AM was able be quenched by iron inside this bacterium. While the bacteria were treated with a combination of bismuth, iron, and PVD, iron could not be rapidly transported within the cells, suggesting that bismuth might bind to PVD to inhibit iron transport. For Fig. a–i, the data are presented as mean ± SEM of three biological replicates. For Fig. g and i, P values were determined using two-sided unpaired t-test, 95% confidence interval.

Source data

Extended Data Fig. 6 Bismuth disrupts membrane potential and promotes intracellular antibiotic accumulation in P. aeruginosa.

a, Detection of membrane potential in P. aeruginosa. Red/green ratios were calculated using population mean fluorescence intensities for P. aeruginosa incubated with 15 μM DIOC2(3) for 30 min in the presence of BSS or 20 μM CCCP. b, The time-based intracellular bismuth level of PAO1 under the treatment of 32 μM BSS. ce, Intracellular BSS dose-dependent accumulation of azithromycin, chloramphenicol and ofloxacin. PAβN was used as a positive control. For Fig. a–e, the data are presented as mean ± SEM of three biological replicates. P values were determined using two-sided unpaired t-test for Fig. a, c–e.

Source data

Extended Data Fig. 7 The deletion of efflux pump genes oprM and mexCD antagonizes the synergistic effects of BSS and antibiotics.

The heat map showing antagonized synergy of bismuth with eravacycline in the bacterial strain with efflux pump genes oprM and mexCD deleted.

Source data

Extended Data Fig. 8 Bismuth enhances the anti-biofilm abilities of antibiotics.

The established biofilms were treated with antibiotics alone or combined with 32 μM of BSS for 24 hours. The biofilms were washed three times with sterile PBS and dispersed by ultrasound, the number of bacteria was determined by plating. The data are presented as mean ± SEM of three biological replicates. P values were determined using two-sided unpaired t-test.

Source data

Extended Data Fig. 9 Bismuth enhances the activities of antibiotics ex vivo.

a, Ex vivo bacteremia model for antibiotics, bismuth drugs, and their combined antimicrobial activity. 10 μL of serial decimal dilutions of each one of the combinations of antibiotics with/without bismuth drugs (32 μM) tested in blood were dropped. All the tests were performed in triplicate. b, The appearance of the blood infected with PAO1 after treatment with the indicated concentration of antibiotics alone or the combinations with bismuth for 24 h. Black color of the blood indicates hemolysis and therefore bacterial growth. Red color of the blood indicates the therapy controlled the infection. All the tests were performed in triplicate.

Extended Data Fig. 10 Toxicity studies showing that bismuth drugs are not cytotoxic.

a, b, Bismuth drugs show no toxicity in cells. The cell viability was measured by XTT assay under the treatment of different concentrations of bismuth drugs for 48 hours. The bismuth drugs showed negligible toxicity to human lung epithelial cells and embryonic kidney cells even at very high concentrations. c, Bismuth drugs show negligible hemolytic activity. Percent of hemolysis was calculated concerning the positive control (Triton X-100). (ac) All the tests were performed in triplicate and all the data are presented as mean ± SD. d, Hematoxylin and eosin (H&E) staining of the mice lungs under treatment of single dose (-1d) or three doses (-3d) of 100 mg/kg CBS. e, Survival curves of mice treated with PBS, 100 mg/kg, and 200 mg/kg of CBS (n = 4) by the intranasal administration. f, The biodistribution of bismuth in mice after treatment by the intranasal administration of 100 mg/kg CBS. g, Proposed the mechanism of action for the synergy of bismuth with antibiotics. Bismuth restores the susceptibility of P. aeruginosa to antibiotics through iron deprivation by interacting with siderophores and Fur. Consequently, the activity of iron-dependent cellular respiration complexes (for example, NADH dehydrogenase) is inhibited, resulting in dissipating the proton motive force (PMF), which further leads to repressed ATP synthesis and impaired multi-drug efflux pump. Ultimately, more antibiotics are rapidly accumulated inside bacterial cells, resulting in the death of cells. For Fig. a–c error bars represent mean ± SEM for three biological replicates. For Fig. d, four mice were included in each group, and similar results were obtained. For Fig. f error bars represent mean ± SEM for four mice samples.

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Xia, Y., Wei, X., Gao, P. et al. Bismuth-based drugs sensitize Pseudomonas aeruginosa to multiple antibiotics by disrupting iron homeostasis. Nat Microbiol 9, 2600–2613 (2024). https://doi.org/10.1038/s41564-024-01807-6

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